diff --git a/Entrega.html b/Entrega.html index bf24d2e9b73d8f15a22f4cbc18df85fa33f5d032..ef177e64ab4faa4f02b3f32fcb636d7ebc549500 100644 --- a/Entrega.html +++ b/Entrega.html @@ -14298,6 +14298,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> <span class="kn">import</span> <span class="nn">imageio</span> <span class="k">as</span> <span class="nn">iio</span> +<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span> <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span> <span class="kn">import</span> <span class="nn">matplotlib.patches</span> <span class="k">as</span> <span class="nn">patches</span> @@ -14336,7 +14337,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- visualize the image</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- visualizar la imagen</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span> <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> @@ -14378,8 +14379,8 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- shape of the image</span> -<span class="c1"># -- the last number indicates the number of channels: RedGreenBlue</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- shape de la imagen</span> +<span class="c1"># -- el ultimo numero indica el numero de canales, al ser una imagen hace referencia a RedGreenBlue</span> <span class="n">img</span><span class="o">.</span><span class="n">shape</span> </pre></div> @@ -14414,7 +14415,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div> <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> -<h2 id="Combinar-los-canales">Combinar los canales<a class="anchor-link" href="#Combinar-los-canales">¶</a></h2><p>Para combinar los canales, vamos a promedioar los tres canales para asà "crear" la imagen en escala de grises.</p> +<h2 id="Combinar-los-canales">Combinar los canales<a class="anchor-link" href="#Combinar-los-canales">¶</a></h2><p>Para combinar los canales, vamos a promediar los tres canales para asà "crear" la imagen en escala de grises.</p> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> @@ -14423,8 +14424,8 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- mean of the image, in the axis = 2, in the third number of the shape tuple</span> -<span class="c1"># -- now, there is no third dimension</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- promedio de la imagen en axis = 2 (la dimension de los canales), el tercer numero de la tupla</span> +<span class="c1"># -- ahora, no hay tercera dimension</span> <span class="n">gr_img</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">shape</span> </pre></div> @@ -14463,9 +14464,9 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- visualize the gray image</span> -<span class="c1"># -- use a color map that is gray</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- visualizar la imagen en escala de grises</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span> +<span class="c1"># -- usar un mapa de color en grises</span> <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">gr_img</span><span class="p">,</span> <span class="n">cmap</span> <span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> </pre></div> @@ -14619,7 +14620,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">Error</span><span class="p">(</span><span class="n">tpl</span><span class="p">,</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">,</span><span class="n">z</span><span class="p">):</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">Error</span><span class="p">(</span><span class="n">tpl</span><span class="p">,</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">,</span><span class="n">z</span><span class="p">,</span><span class="n">incer</span><span class="p">):</span> <span class="sd">'''</span> <span class="sd"> Calcula el error entre el valor z dado por la imagen y el determinado por el método de mÃnimos cuadrados</span> <span class="sd"> o cualquier otro. Al ser el resultado dos dimensional, fue necesario convertirlo en unidimensional.</span> @@ -14627,8 +14628,9 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <span class="c1"># x son las posiciones reportadas</span> <span class="c1"># y son los valores medidos en las posiciones x</span> <span class="c1"># tpl es una tupla con los parámetros para calcular el modelo</span> + <span class="n">zmodel</span> <span class="o">=</span> <span class="n">function</span><span class="p">(</span><span class="n">tpl</span><span class="p">,</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">)</span> - <span class="n">errors</span> <span class="o">=</span> <span class="p">(</span><span class="n">zmodel</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span> <span class="o">-</span> <span class="n">z</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> + <span class="n">errors</span> <span class="o">=</span> <span class="p">(</span><span class="n">zmodel</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span> <span class="o">-</span> <span class="n">z</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="nb">abs</span><span class="p">(</span><span class="n">incer</span><span class="p">))</span> <span class="k">return</span> <span class="n">errors</span> </pre></div> @@ -14643,7 +14645,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">calculator</span><span class="p">(</span><span class="n">star</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">Error</span><span class="p">):</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">calculator</span><span class="p">(</span><span class="n">star</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">Error</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span> <span class="sd">'''</span> <span class="sd"> Extrae las coordenadas x & y de la imagen y calcula la mejor gaussiana mediante el método de mÃnimos</span> <span class="sd"> cuadrados</span> @@ -14651,7 +14653,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="n">star</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="mi">1</span><span class="p">)</span> <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="n">star</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="mi">1</span><span class="p">)</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">y</span><span class="p">,</span><span class="n">x</span><span class="p">)</span> - <span class="n">best</span><span class="p">,</span><span class="n">suss</span> <span class="o">=</span> <span class="n">leastsq</span><span class="p">(</span><span class="n">Error</span><span class="p">,</span> <span class="n">p0</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">,</span><span class="n">star</span><span class="p">))</span> + <span class="n">best</span><span class="p">,</span><span class="n">suss</span> <span class="o">=</span> <span class="n">leastsq</span><span class="p">(</span><span class="n">Error</span><span class="p">,</span> <span class="n">p0</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">,</span><span class="n">star</span><span class="p">,</span><span class="n">incer</span><span class="p">))</span> <span class="k">return</span> <span class="n">best</span><span class="p">,</span><span class="n">x</span><span class="p">,</span><span class="n">y</span> </pre></div> @@ -14682,21 +14684,23 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">determinar</span><span class="p">(</span><span class="n">star</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span> <span class="n">FWHMx</span> <span class="o">=</span> <span class="n">FWHM_x</span><span class="p">,</span> <span class="n">FWHMy</span> <span class="o">=</span> <span class="n">FWHM_y</span><span class="p">):</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">determinar</span><span class="p">(</span><span class="n">star</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span> <span class="n">FWHMx</span> <span class="o">=</span> <span class="n">FWHM_x</span><span class="p">,</span> <span class="n">FWHMy</span> <span class="o">=</span> <span class="n">FWHM_y</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span> <span class="sd">'''</span> <span class="sd"> Determina la mejor gaussiana dado un punto inicial, usando la función calculator.</span> <span class="sd"> Determina el valor del FWHM en dirección x & y, guarda el valor en una lista.</span> +<span class="sd"> Este es determinado usando la formula de https://en.wikipedia.org/wiki/Full_width_at_half_maximum</span> <span class="sd"> Genera una gráfica donde se muestra el contorno de la gaussiana determinada encima de la imagen.</span> <span class="sd"> '''</span> - <span class="n">best_star</span><span class="p">,</span><span class="n">x</span><span class="p">,</span><span class="n">y</span> <span class="o">=</span> <span class="n">calculator</span><span class="p">(</span><span class="n">star</span><span class="p">,</span> <span class="n">p0</span><span class="p">,</span> <span class="n">Error</span><span class="p">)</span> + <span class="n">best_star</span><span class="p">,</span><span class="n">x</span><span class="p">,</span><span class="n">y</span> <span class="o">=</span> <span class="n">calculator</span><span class="p">(</span><span class="n">star</span><span class="p">,</span> <span class="n">p0</span><span class="p">,</span> <span class="n">Error</span><span class="p">,</span><span class="n">incer</span><span class="p">)</span> <span class="nb">print</span><span class="p">(</span><span class="n">best_star</span><span class="p">)</span> <span class="n">FWHM_star_x</span> <span class="o">=</span> <span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">best_star</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="n">FWHM_star_y</span> <span class="o">=</span> <span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">best_star</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="n">FWHMx</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">FWHM_star_x</span><span class="p">)</span> <span class="n">FWHMy</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">FWHM_star_y</span><span class="p">)</span> <span class="nb">print</span><span class="p">(</span><span class="n">FWHM_star_x</span><span class="p">,</span><span class="n">FWHM_star_y</span><span class="p">)</span> + + <span class="c1"># -- plot el contorno de la gaussiana encontrada encima de la imagen de la estrella</span> <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">7</span><span class="p">))</span> - <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">star</span><span class="p">,</span><span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> <span class="n">ax</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">function</span><span class="p">(</span><span class="n">best_star</span><span class="p">,</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">),</span> <span class="mi">3</span><span class="p">,</span> <span class="n">colors</span><span class="o">=</span><span class="s1">'r'</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> @@ -14790,20 +14794,254 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div> <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> -<h4 id="Estrella-2">Estrella 2<a class="anchor-link" href="#Estrella-2">¶</a></h4> +<h4 id="Mirar-como-es-para-una-sola-dimesión">Mirar como es para una sola dimesión<a class="anchor-link" href="#Mirar-como-es-para-una-sola-dimesión">¶</a></h4> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [14]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_1</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[14]:</div> + + + + +<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain"> +<pre>array([[ 76.33333333, 72.33333333, 92. , 89. , + 76. ], + [ 75.33333333, 123.33333333, 182. , 136. , + 70. ], + [ 84.33333333, 176.33333333, 247. , 176. , + 78. ], + [ 82.33333333, 143.33333333, 191. , 141. , + 78. ], + [ 84.33333333, 80.33333333, 84. , 86. , + 83. ]])</pre> +</div> + +</div> + +</div> + +</div> + +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [15]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- extraer valores de cada columna para formar un vector con cada columna</span> +<span class="c1"># -- el tercer vector es el que parte la estrella en dos</span> +<span class="n">wa</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="o">*</span><span class="n">str_1</span><span class="p">))</span> +<span class="nb">list</span><span class="p">(</span><span class="n">wa</span><span class="p">[</span><span class="mi">2</span><span class="p">])</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[15]:</div> + + + + +<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain"> +<pre>[92.0, 182.0, 247.0, 191.0, 84.0]</pre> +</div> + +</div> + +</div> + +</div> + +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [16]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- grafiquemos esos puntos</span> +<span class="c1"># -- no se ve tan linda como la del profe</span> +<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">wa</span><span class="p">[</span><span class="mi">2</span><span class="p">]),</span><span class="mi">1</span><span class="p">),</span><span class="n">wa</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span><span class="n">c</span><span class="o">=</span><span class="s1">'green'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'Intensidad del pixel'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'No del pixel fila'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [17]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">function1</span><span class="p">(</span><span class="n">params</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span> + <span class="sd">'''</span> +<span class="sd"> Define función gaussiana generalizada en una dimension.</span> +<span class="sd"> '''</span> + <span class="n">A</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">sigma_x</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> + <span class="c1">#sigma_y = params[2]</span> + <span class="n">x0</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> + <span class="c1">#y0 = params[4]</span> + <span class="n">theta</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> + <span class="n">K</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="mi">4</span><span class="p">]</span> + + <span class="n">a</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">theta</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="o">/</span><span class="p">(</span><span class="mi">2</span><span class="o">*</span><span class="n">sigma_x</span><span class="o">**</span><span class="mi">2</span><span class="p">)</span> <span class="c1">#+ np.sin(theta)**2/(2*sigma_y**2)</span> + <span class="c1">#b = -np.sin(2*theta)/(4*sigma_x**2) + np.sin(2*theta)/(4*sigma_y**2)</span> + <span class="c1">#c = np.sin(theta)**2/(2*sigma_x**2) + np.cos(theta)**2/(2*sigma_y**2)</span> + + <span class="n">z</span> <span class="o">=</span> <span class="n">A</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span> <span class="o">-</span> <span class="p">(</span><span class="n">a</span><span class="o">*</span><span class="p">(</span><span class="n">x</span><span class="o">-</span><span class="n">x0</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span> <span class="p">))</span> <span class="o">+</span> <span class="n">K</span> + <span class="k">return</span> <span class="n">z</span> + +<span class="k">def</span> <span class="nf">Error1</span><span class="p">(</span><span class="n">tpl</span><span class="p">,</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">):</span> + <span class="sd">'''</span> +<span class="sd"> Calcula el error entre el valor y dado por la imagen y el determinado por el método de mÃnimos cuadrados</span> +<span class="sd"> o cualquier otro.</span> +<span class="sd"> '''</span> + <span class="c1"># x son las posiciones reportadas</span> + <span class="c1"># y son los valores medidos en las posiciones x</span> + <span class="c1"># tpl es una tupla con los parámetros para calcular el modelo</span> + <span class="n">ymodel</span> <span class="o">=</span> <span class="n">function1</span><span class="p">(</span><span class="n">tpl</span><span class="p">,</span><span class="n">x</span><span class="p">)</span> + <span class="n">errors</span> <span class="o">=</span> <span class="p">(</span><span class="n">ymodel</span> <span class="o">-</span> <span class="n">y</span><span class="p">)</span> + <span class="c1">#print(errors)</span> + <span class="k">return</span> <span class="n">errors</span> + + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span> +<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">wa</span><span class="p">[</span><span class="mi">2</span><span class="p">]),</span><span class="mi">1</span><span class="p">)</span> +<span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">wa</span><span class="p">[</span><span class="mi">2</span><span class="p">])</span> +<span class="n">best</span><span class="p">,</span><span class="n">suss</span> <span class="o">=</span> <span class="n">leastsq</span><span class="p">(</span><span class="n">Error1</span><span class="p">,</span> <span class="n">p0</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">))</span> +<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">function1</span><span class="p">(</span><span class="n">best</span><span class="p">,</span><span class="n">x</span><span class="p">),</span><span class="n">c</span><span class="o">=</span><span class="s1">'orange'</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">'Fit'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">wa</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">c</span> <span class="o">=</span> <span class="s1">'green'</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">'Original'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div> + + + + +<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain"> +<pre><matplotlib.legend.Legend at 0x7fd6ab2abd68></pre> +</div> + +</div> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAXcAAAD4CAYAAAAXUaZHAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAa/klEQVR4nO3df3Ac5Z3n8ffHskBR7NiAlSzxr9Gx5oKxsQOK8cWVO4LyA9gEJySVcqILmM1FtcF3S7LU5QClQjjKKXZDBY5LmT1lcQXuBrKEH4mhnLrlTC6EzdlE5jDCdsDO+gdynLUwFwMlILLyvT+6DWMxskaa0YzU+ryqVNPz9NMzXzfMR62ne55WRGBmZtkypdYFmJlZ5TnczcwyyOFuZpZBDnczswxyuJuZZdDUWhcAMGvWrMjlcrUuw8xsQtm6deuLEdFUbN24CPdcLkdXV1etyzAzm1Ak7RtqnYdlzMwyyOFuZpZBDnczswwaF2PuZjY59ff309PTw+uvv17rUsa1hoYG5syZQ319fcnbONzNrGZ6enqYPn06uVwOSbUuZ1yKCA4fPkxPTw/Nzc0lb+dhGbMh5DddRe7bU5lyo8h9eyr5TVfVuqTMef311znttNMc7CcgidNOO23Ef934yN2siPymq2j/xzvoSydN3dc/QPs/3gFAW+u6GlaWPQ724Y1mH/nI3ayIji2dbwb7MX2RtJtNBA53syL29w+MqN0mrrq6OpYuXfrmz969e/ngBz8IwN69e7nnnntqXOHoeFjGrIh59XXsKxLk8+rralCNjaV3vOMdPP3008e1/fKXvwTeCvcvfOELNaisPD5yNyti7fntNA4a5mxU0m41tCcPP87BPVOSxz35MXmbadOmAXDttdfyi1/8gqVLl3LrrbeOyXuNFR+5mxVx7KRpx5ZO9vcPMK++jrXnt/tkai3tycOT7TDQlzzv25c8B2huG/XLvvbaayxdujR5meZmHnrooTfX3Xzzzdxyyy088sgjo379WnG4mw2hrXWdw3w82dbxVrAfM9CXtJcR7sWGZbLAwzJmNjH07R9Z+yQ3bLhLmivpZ5J2SNou6epB66+RFJJmpc8l6XZJuyU9I+ncsSrezCaRxnkja6+A6dOn88orr4zZ64+lUo7cjwLXRMRCYDmwRtJCSIIf+BhQ+KvzYmBB+tMO3FHRis1sclqyFuoaj2+ra0zax8g555xDXV0dS5Ysyd4J1Yg4CBxMl1+RtBOYDewAbgW+DvykYJOVwN0REcBmSTMlnZ6+jpnZ6BwbV9/WkQzFNM5Lgr2M8XaAV199dci2+vp6HnvssbJev1ZGdEJVUg54P7BF0krgQERsG/TV2NnACwXPe9K248JdUjvJkT3z5o3dn1VmliHNbWWH+WRR8glVSdOAB4CvkgzVXA98c7RvHBGdEdESES1NTUVvAWhmZqNUUrhLqicJ9nxEPAicATQD2yTtBeYAT0n6E+AAMLdg8zlpm5mZVUkpV8sIuBPYGRHfBYiI7oh4d0TkIiJHMvRybkT8DtgAXJ5eNbMcOOLxdjOz6iplzH0F8EWgW9LTadv1EbFxiP4bgUuA3UAfcGW5RZqZ2ciUcrXME8AJJxNOj96PLQewpuzKzMxs1PwNVTOb1Hp6eli5ciULFizgjDPO4Oqrr+YPf/jD2/r99re/5bOf/eywr3fJJZfw+9//flS1fOtb3+KWW24Z1baDOdzNbNKKCC677DI+9alPsWvXLp5//nleffVVOjo6jut39OhR3vve93L//fcP+5obN25k5syZY1Rx6RzuZjZh5Lvz5G7LMeXGKeRuy5HvLm/K38cee4yGhgauvDI5NVhXV8ett97K+vXrWbduHZdeeikXXnghra2t7N27l0WLFgHQ19fH5z73ORYuXMinP/1pzj//fLq6ugDI5XK8+OKL7N27l7POOosvf/nLnH322XzsYx/jtddeA+D73/8+H/jAB1iyZAmf+cxn6OvrK15gGRzuZjYh5LvztD/czr4j+wiCfUf20f5we1kBv337ds4777zj2t71rncxb948jh49ylNPPcX999/Pz3/+8+P6rFu3jlNOOYUdO3Zw0003sXXr1qKvv2vXLtasWcP27duZOXMmDzzwAACXXXYZv/rVr9i2bRtnnXUWd95556j/DUNxuJvZhNCxqYO+/uOPcPv6++jY1DHEFuX76Ec/yqmnnvq29ieeeIJVq1YBsGjRIs4555yi2zc3N785V/x5553H3r17AXj22Wf50Ic+xOLFi8nn82zfvr3itTvczWxC2H+k+NS+Q7WXYuHChW876n755ZfZv38/U6dO5Z3vfOeoXxvg5JNPfnO5rq6Oo0ePArB69Wq+973v0d3dzQ033MDrr79e1vsU43A3swlh3ozic1AN1V6K1tZW+vr6uPvuuwEYGBjgmmuuYfXq1TQ2Ng653YoVK7jvvvsA2LFjB93d3SN631deeYXTTz+d/v5+8vmxuVWgw93MJoS1rWtprD8+cBvrG1nbOvopfyXx0EMP8aMf/YgFCxZw5pln0tDQwLe//e0TbnfVVVfR29vLwoUL+cY3vsHZZ5/NjBkzSn7fm266ifPPP58VK1bwvve9b9T1n4iS7xzVVktLSxw702xmk8fOnTs566yzSu6f787TsamD/Uf2M2/GPNa2rqVtcfVniRwYGKC/v5+GhgZ+85vf8JGPfITnnnuOk046aczes9i+krQ1IlqK9fc9VM1swmhb3FaTMB+sr6+PD3/4w/T39xMRrFu3bkyDfTQc7mZmIzR9+nTG+2iDx9zNrKbGw9DweDeafeRwN7OaaWho4PDhww74E4gIDh8+TENDw4i287CMmdXMnDlz6Onpobe3t9aljGsNDQ3MmTNnRNs43M2sZurr62lubq51GZlUyp2Y5kr6maQdkrZLujpt/46kX0t6RtJDkmYWbHOdpN2SnpP08TGs38zMiihlzP0ocE1ELASWA2skLQQeBRZFxDnA88B1AOm6VcDZwEXAOkl1Y1G8mZkVN2y4R8TBiHgqXX4F2AnMjoh/iIijabfNJDfCBlgJ/DAi3oiIPSS321tW+dLNzGwoI7paRlIOeD+wZdCqPwd+mi7PBl4oWNeTtg1+rXZJXZK6fDLFzKyySg53SdOAB4CvRsTLBe0dJEM3I5r9JiI6I6IlIlqamppGsqmZmQ2jpKtlJNWTBHs+Ih4saF8NfAJojbcuVD0AzC3YfE7aZmZmVVLK1TIC7gR2RsR3C9ovAr4OXBoRhTPobwBWSTpZUjOwAHiysmWbmdmJlHLkvgL4ItAt6em07XrgduBk4NEk/9kcEX8REdsl3QfsIBmuWRMRAxWv3MzMhjRsuEfEE4CKrNp4gm3WAqOfZNnMzMriuWXMzDLI4W5mlkEOdzOzDHK4m5llkMPdzCyDHO5mZhnkcDczyyCHu5lZBjnczcwyyOFuZpZBDnczswxyuJuZZZDD3cwsgxzuZmYZ5HA3M8ugUu7ENFfSzyTtkLRd0tVp+6mSHpW0K308JW2XpNsl7Zb0jKRzx/ofYWZmxyvlyP0ocE1ELASWA2skLQSuBTZFxAJgU/oc4GKSW+stANqBOypetZmZndCw4R4RByPiqXT5FWAnMBtYCdyVdrsL+FS6vBK4OxKbgZmSTq904WZmNrQRjblLygHvB7YA74mIg+mq3wHvSZdnAy8UbNaTtg1+rXZJXZK6ent7R1q3mZmdQMnhLmka8ADw1Yh4uXBdRAQQI3njiOiMiJaIaGlqahrJpmZmNoySwl1SPUmw5yPiwbT5n48Nt6SPh9L2A8Dcgs3npG1mZlYlpVwtI+BOYGdEfLdg1QbginT5CuAnBe2Xp1fNLAeOFAzfmJlZFUwtoc8K4ItAt6Sn07brgZuB+yR9CdgHfC5dtxG4BNgN9AFXVrJgMzMb3rDhHhFPABpidWuR/gGsKbMuMzMrg7+hamaWQQ53M7MMcribWUXku/Pkbssx5cYp5G7Lke/O17qkSa2UE6pmZieU787T/nA7ff19AOw7so/2h9sBaFvcVsvSJi0fuZtZ2To2dbwZ7Mf09ffRsamjRhWZw93Myrb/yP4RtdvYc7ibWdnmzZg3onYbew53Myvb2ta1NNaddFxbY91JrG1dW6OKzOFuZmVrmwad7w7mT02+8Th/avK8bVqtK5u8HO6TyZ48/DgH90xJHvf4UjWrkG0dtE3rZ28z/HEB7G2Gtmn9sM0nVGvFl0JOFnvy8GQ7DKRXNPTtS54DNPtSNStT3xAnTodqtzHnI/fJYlvHW8F+zECfj6ysMhqHOHE6VLuNOYf7ZOEjKxtLS9ZCXePxbXWNSbvVhMN9smicR/5lyO2BKbuSx/zL+MjKKqO5DZZ1QuN8QMnjsk4P+dWQx9wnifz0S2h/5g760psh7jsK7YeABZfgj59VRHObw3wcKeVOTOslHZL0bEHbUkmbJT2d3uR6WdouSbdL2i3pGUnnjmXxVrqO7o1vBvsxfZG0m1n2lDIs8wPgokFtfwPcGBFLgW+mzwEuBhakP+3AHRWp0srmr4ebTS7DhntEPA68NLgZeFe6PAP4bbq8Erg7EpuBmcduom215a+Hm00uoz2h+lXgO5JeAG4BrkvbZwMvFPTrSdusxta2rqWx/virGRrrG/31cLOMGm24fwX4WkTMBb4G3DnSF5DUno7Xd/X29o6yDCtV2+I2Oj/ZyfwZ8xFi/oz5dH6y03Ntm2WUkvtZD9NJygGPRMSi9PkRYGZEhCQBRyLiXZL+G/C/I+LetN9zwAURcfBEr9/S0hJdXV1l/lPMzCYXSVsjoqXYutEeuf8W+Dfp8oXArnR5A3B5etXMcpLQP2Gwm5lZ5Q17nbuke4ELgFmSeoAbgC8D/0XSVOB1kitjADYClwC7gT7gyjGo2czMhjFsuEfE54dYdV6RvgGsKbcoMzMrj6cfMDPLIIe7mVkGOdzNzDLI4W5mlkEOdzOzDHK4m5llkMPdzCyDHO5mZhnkcDczyyCHu5lZBjnczcwyyOFuZpZBDnczswxyuJuZZZDD3cwsgxzuZmYZNGy4S1ov6ZCkZwe1/wdJv5a0XdLfFLRfJ2m3pOckfXwsijYzsxMb9k5MwA+A7wF3H2uQ9GFgJbAkIt6Q9O60fSGwCjgbeC/wvySdGREDlS7czMyGNuyRe0Q8Drw0qPkrwM0R8Uba51DavhL4YUS8ERF7SO6luqyC9ZqZWQlGO+Z+JvAhSVsk/VzSB9L22cALBf160ra3kdQuqUtSV29v7yjLMDOzYkYb7lOBU4HlwH8E7pOkkbxARHRGREtEtDQ1NY2yDDMzK2a04d4DPBiJJ4E/ArOAA8Dcgn5z0jYzM6ui0Yb7j4EPA0g6EzgJeBHYAKySdLKkZmAB8GQF6jQzsxEY9moZSfcCFwCzJPUANwDrgfXp5ZF/AK6IiAC2S7oP2AEcBdb4Shkzs+pTksm11dLSEl1dXbUuw8xsQpG0NSJaiq3zN1TNzDLI4W5mlkEOdzOzDHK4m5llkMPdzCyDHO5mZhnkcDczyyCHu5lZBjnczcwyyOFuZpZBDnczswxyuJuZZZDD3cwsgxzuZmYZ5HA3M8ugYcNd0npJh9Ibcwxed42kkDQrfS5Jt0vaLekZSeeORdFmZnZipRy5/wC4aHCjpLnAx4D9Bc0Xk9xabwHQDtxRfolmZjZSw4Z7RDwOvFRk1a3A14HCWzmtBO5Ob5y9GZgp6fSKVGpmZiUb1Zi7pJXAgYjYNmjVbOCFguc9aVux12iX1CWpq7e3dzRlmJnZEEYc7pIageuBb5bzxhHRGREtEdHS1NRUzkuZmdkgU0exzRlAM7BNEsAc4ClJy4ADwNyCvnPSNjMzq6IRH7lHRHdEvDsichGRIxl6OTcifgdsAC5Pr5pZDhyJiIOVLdnMzIZTyqWQ9wL/B/iXknokfekE3TcC/wTsBr4PXFWRKs3MbESGHZaJiM8Psz5XsBzAmvLLMjOzcvgbqmZmGeRwNzPLIIe7mVkGOdzNzDLI4W5mlkEOdzOzDHK4m5llkMPdzCyDHO5mZhnkcDczyyCHu5lZBjnczcwyyOFuZpZBDnczswxyuJuZZVApN+tYL+mQpGcL2r4j6deSnpH0kKSZBeuuk7Rb0nOSPj5GdZuZ2QmUcuT+A+CiQW2PAosi4hzgeeA6AEkLgVXA2ek26yTVVaxaMzMrybDhHhGPAy8NavuHiDiaPt1MciNsgJXADyPijYjYQ3K7vWUVrNfMzEpQiTH3Pwd+mi7PBl4oWNeTtr2NpHZJXZK6ent7K1CGmZkdU1a4S+oAjgL5kW4bEZ0R0RIRLU1NTeWUYWZmgwx7g+yhSFoNfAJoTW+MDXAAmFvQbU7aZmZmVTSqI3dJFwFfBy6NiL6CVRuAVZJOltQMLACeLL9MMzMbiWGP3CXdC1wAzJLUA9xAcnXMycCjkgA2R8RfRMR2SfcBO0iGa9ZExMBYFW9mZsXprRGV2mlpaYmurq5al2FmNqFI2hoRLcXW+RuqZmYZ5HA3M8sgh7uZWQY53M3MMsjhbmaWQQ53M7MMcribmWWQw93MLIMc7mZmGeRwNzPLIIe7mVkGOdzNzDLI4W5mlkEOdzOzDHK4m5ll0LDhLmm9pEOSni1oO1XSo5J2pY+npO2SdLuk3ZKekXTuWBZvZmbFlXLk/gPgokFt1wKbImIBsCl9DnAxya31FgDtwB2VKdPMzEZi2HCPiMeBlwY1rwTuSpfvAj5V0H53JDYDMyWdXqFazcysRKMdc39PRBxMl38HvCddng28UNCvJ20zM7MqKvuEaiQ3YR3xjVgltUvqktTV29tbbhlmZlZgtOH+z8eGW9LHQ2n7AWBuQb85advbRERnRLREREtTU9MoyzAzs2JGG+4bgCvS5SuAnxS0X55eNbMcOFIwfGNmZlUydbgOku4FLgBmSeoBbgBuBu6T9CVgH/C5tPtG4BJgN9AHXDkGNZuZ2TCGDfeI+PwQq1qL9A1gTblFmZlZefwNVTOzDJqw4Z7vzpO7LceUG6eQuy1Hvjtf65LMzMaNYYdlxqN8d572h9vp6+8DYN+RfbQ/3A5A2+K2WpZmZjYuTMgj945NHW8G+zF9/X10bOqoUUVmZuPLhAz3/Uf2j6jdzGyymZDhPm/GvBG1m5mNO3vy8OMc3DMledxT2fOGEzLc17aupbG+8bi2xvpG1raurVFFZmYjsCcPT7ZD3z4gkscn2ysa8BMy3NsWt9F5/hXMr69DwPz6OjrPv8InU81sYtjWAQPHnzdkoC9pr5AJebUMe/K0vXgXbbmBtGEAXrwL9qyAZge8mY1zfUOcHxyqfRQm5JF7NX7rmZmNmcYhzg8O1T4KEzPcq/Bbz8xszCxZC3XHnzekrjFpr5CJGe5V+K1nZjZmmtvIz7qC3N46puyC3N468rOuqOiw8sQM9yr81jMzGyv57jztW+5iX/8AAezrH6B9y10VnUZlYoZ7cxss64TG+YCSx2WdPplqZhNCNb5lPzGvloEkyB3mZjYBVeNb9hPzyN3MbAKrxrfsywp3SV+TtF3Ss5LuldQgqVnSFkm7Jf29pJMqVayZWRZU41v2ow53SbOBvwRaImIRUAesAv4auDUi/hT4f8CXKlGomVlWtC1uo/OTncyfMR8h5s+YT+cnOyv6Lftyx9ynAu+Q1A80AgeBC4EvpOvvAr4F3FHm+5iZZUrb4rYxnTJl1EfuEXEAuAXYTxLqR4CtwO8j4mjarQeYXWx7Se2SuiR19fb2jrYMMzMropxhmVOAlUAz8F7gncBFpW4fEZ0R0RIRLU1NTaMtw8zMiijnhOpHgD0R0RsR/cCDwApgpqRjwz1zgANl1mhmZiNUTrjvB5ZLapQkoBXYAfwM+Gza5wrgJ+WVaGZmI1XOmPsW4H7gKaA7fa1O4D8BfyVpN3AacGcF6jQzsxFQRNS6BiT1AvtGufks4MUKllMp47UuGL+1ua6RcV0jk8W65kdE0ZOW4yLcyyGpKyJaal3HYOO1Lhi/tbmukXFdIzPZ6vL0A2ZmGeRwNzPLoCyEe2etCxjCeK0Lxm9trmtkXNfITKq6JvyYu5mZvV0WjtzNzGwQh7uZWQZNmHCXdJGk59J54q8tsv7kdP743el88rlxUtdqSb2Snk5//l2V6lov6ZCkZ4dYL0m3p3U/I+nccVLXBZKOFOyvb1ahprmSfiZpR3p/gquL9Kn6/iqxrqrvr/R9GyQ9KWlbWtuNRfpU/TNZYl21+kzWSfq/kh4psq7y+yoixv0PyVzxvwH+BXASsA1YOKjPVcDfpsurgL8fJ3WtBr5Xg332r4FzgWeHWH8J8FNAwHJgyzip6wLgkSrvq9OBc9Pl6cDzRf47Vn1/lVhX1fdX+r4CpqXL9cAWYPmgPrX4TJZSV60+k38F3FPsv9dY7KuJcuS+DNgdEf8UEX8AfkgyI2WhlSTzx0MyLUJrOudNreuqiYh4HHjpBF1WAndHYjPJhG+nj4O6qi4iDkbEU+nyK8BO3j5VddX3V4l11US6H15Nn9anP4Ovzqj6Z7LEuqpO0hzgz4C/G6JLxffVRAn32cALBc+LzRP/Zp9I5pM/QjK3Ta3rAvhM+qf8/ZLmjnFNpSq19lr4V+mf1T+VdHY13zj9c/j9JEd8hWq6v05QF9Rof6XDDE8Dh4BHI5lvqlAtPpOl1AXV/0zeBnwd+OMQ6yu+ryZKuE9kDwO5iDgHeJS3fjtbcU+RzJexBPivwI+r9caSpgEPAF+NiJer9b7DGaaumu2viBiIiKUkU3svk7SoWu99IiXUVdXPpKRPAIciYutYvs9gEyXcDwCFv12LzRP/Zh8l88nPAA7Xuq6IOBwRb6RP/w44b4xrKlUp+7TqIuLlY39WR8RGoF7SrLF+X0n1JAGaj4gHi3Spyf4arq5a7a9BNfyeZKrvwTfrqcVncti6avCZXAFcKmkvydDthZL+x6A+Fd9XEyXcfwUskNQs6SSSEw4bBvXZQDJ/PCTzyT8W6dmJWtY1aFz2UpJx0/FgA3B5ehXIcuBIRBysdVGS/uTYWKOkZST/j45pIKTvdyewMyK+O0S3qu+vUuqqxf5K36tJ0sx0+R3AR4FfD+pW9c9kKXVV+zMZEddFxJyIyJFkxGMR8W8Hdav4vir3BtlVERFHJf174H+SXKGyPiK2S/rPQFdEbCD5EPx3JfPIv0SyE8dDXX8p6VLgaFrX6rGuC0DSvSRXUsyS1APcQHJyiYj4W2AjyRUgu4E+4MpxUtdnga9IOgq8Bqyqwi/pFcAXge50rBbgemBeQV212F+l1FWL/QXJlTx3Saoj+YVyX0Q8UuvPZIl11eQzOdhY7ytPP2BmlkETZVjGzMxGwOFuZpZBDnczswxyuJuZZZDD3cwsgxzuZmYZ5HA3M8ug/w8S5IRwZoJxyAAAAABJRU5ErkJggg== +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Continuación-en-dos-dimensiones-para-las-demas-estrellas">Continuación en dos dimensiones para las demas estrellas<a class="anchor-link" href="#Continuación-en-dos-dimensiones-para-las-demas-estrellas">¶</a></h4> +</div> +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-2">Estrella 2<a class="anchor-link" href="#Estrella-2">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [18]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_2</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> -<span class="n">str_2</span> <span class="o">=</span> <span class="n">str_2</span><span class="p">[</span><span class="mi">252</span><span class="p">:</span><span class="mi">257</span><span class="p">,</span><span class="mi">949</span><span class="p">:</span><span class="mi">955</span><span class="p">]</span> +<span class="n">str_2</span> <span class="o">=</span> <span class="n">str_2</span><span class="p">[</span><span class="mi">252</span><span class="p">:</span><span class="mi">257</span><span class="p">,</span><span class="mi">949</span><span class="p">:</span><span class="mi">954</span><span class="p">]</span> <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_2</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> -<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">50</span><span class="p">,</span> <span class="mf">1.3</span><span class="p">,</span> <span class="mf">2.5</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">50</span><span class="p">,</span> <span class="mf">1.3</span><span class="p">,</span> <span class="mf">2.5</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> + +<span class="c1">#p0 = [60, 30.4, 11, 0.01, 1, 0, 0]</span> <span class="n">determinar</span><span class="p">(</span><span class="n">str_2</span><span class="p">,</span><span class="n">p0</span><span class="p">)</span> </pre></div> @@ -14826,7 +15064,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-RenderedImage jp-OutputArea-output "> -<img 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" > </div> @@ -14840,9 +15078,9 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> -<pre>[199.01253816 1.08145645 1.00567015 2.34913877 2.25632274 - -1.64457802 71.94966219] -2.546635316348273 2.3681722290552565 +<pre>[199.17204186 1.08795697 1.01652482 2.3507139 2.25572616 + -1.63067875 71.03541102] +2.5619428907503394 2.393733033767761 </pre> </div> </div> @@ -14856,7 +15094,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-RenderedImage jp-OutputArea-output "> -<img 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FKwbBnHvfoqcc3NNKank7txIw63e/vPexwOGtrLpiE7m7qcnOD3s7LwyU29EeXzrCyqHA4eWLWKp5cu5eZBg1gZ5WucUjAR7rxNmzittJR3evbkpYICo+NEDKvPx6EffMDIWbOo7tGDt669loacHNCa+KYm0qqqSKusDH5bVUXupk0MWLRop6tGnKmpvxrxbB/1yFU9YemnlBSuKC7m4ZUr+dfy5dzVvz/fZmQYHcswUjAR7OTSUn5bUsL03Fz+3a+fTNV0kdTKSia/8AJZZWUsOvJIZp90Ev5tc+5K0ZKSQktKCmX9++/0/1m9XlKqq0mvqiK1vXjSKisZNH8+MW1t23+d1+GgISvrV+XTkJ2NV0Y9prcpPp7Liot5aNUq7l+9mn8WFPBmXl5Ufv5JwUSoYyoquHbtWr7PzOThgQPlZuSuoDWDf/iBI99+G7/dzoeXXsrGYcM6/L/77Xbq8vOpy8//1fuNdzp3GvGkVVaSs3kz/X76CcsuRj07TbdlZ+OUUY+pNDgcXD10KP+3di3XbtxIj7Y2Hi8sJBBln4dSMBFoXE0Nt65axaLUVO4ZMoSAvPDsN0dbG0e9+SaDFi6ktF8/pp9/Ps1d9YRPpWhJTqYlOXnXo56amp3Lp6qKgQsXEtPauv3Xee327WWz/a29gIQx3FYrdwwcyJWbNvGbrVvJdbu5a8AAWqPoMlkpmAgzvKGBO5cvZ11iIn8uLsYbRf+YQyV70yYmvfgiyXV1zDn+eBYcdxy6m0rbb7dTl5dHXV7ezj+hNXFO58/Tbe0FlL1ly69GPU3JydRmZFCTlUVtZia1GRnUZmbSmJIio54Q00rxREEBW2Ni+GNJCf9atoybBw+mNkru/ZOCiSD9nU7uXbKEithYbh0+XG5G3l+BAKNmzuSQjz6iOSWFd66+mvKiIqNTBSlFa3IyZcnJlPXrt9NPWX0+Uqqrt492EkpLyaipYdiSJcTtuNZjt1OXnk5tZiY1mZnB8ml/88haT5d6Ly+PipgY7lmzhqfaH8W8ISHB6FghJ69AEaJXSwsPys3IXSauqYkJr7xCn1WrWDdiBF+efTbuMLmzzW+z7TTqadx2IaPWJDQ3k1FTs9NbTnk5g1as2HnUk5S0U+FsKyEZ9ey7OenpXDlsGI+sXMmTy5Zxx8CBzO+qaVaTkoKJAFltbTz0008A3DRyJNVywGu/9F61iuNefpmYtja+OvNMlh1ySGTsAFKK5sREmhMT2fyLLetWn4+0urrtpZPZ/u3QpUt3HvXYbNS1T7HtWDy1GRl45N/dXq1NTOTS4cN5eOVKHlm5koeLivg4J8foWCEjBRPmUjweHlq8mASfj+tHjaI0TL7KNiOL38+4Tz5hzJdfUpuby3tXXvnrHV8Rym+zUZOdTc0vNwVoTfy2UU9tLZnV1cFRT0UFg1auxLLD3VvOpKSf13q2lVBWFo0pKd22ZhUOqmJi+P2wYfxlzRpuW7+e/LY2nu7dOyJ3ekrBhLH4HW5GvnnECNZF+anh/ZFcU8OkF18kd9Mmlh5yCN+ecgo+mWYM7nBLTKQlMZEtvxj1WHw+0uvrg+VTXU1GbW1w1LNsGXE77HDz2Wy7XOupyM0lEKXrhC02GzcPGsQNJSVcWFZGvtvN/f364YmwIo7Ov90I4Gi/Gbmvy8Wfhw1jaYTP5YZS/x9/ZPwbb6CV4tOLL2bdyJFGRwoLAZuNmqwsarKyYPDgn39Ca+JbWnZa58msqSG7spKBq1ZtH/VUZWfz+nnn0Ril/3b9FgsPFRVRFhPDlZs3k+12c+ugQTTZ7UZH6zJSMGHIGgjwf8uXM7yhgfuHDGGe3Iy8T2xuN0e+8w5D581ja2Eh0y+4AGd6utGxwp9StCQk0JKQwJY+fXb6KYvPR1p9PfllZUz69FMufuopXj/vPCqiZCryV5TilZ49qYiN5fa1a/lv+0WZZXFxRifrEpE1HosCSmtuWrWKQ2pr+Wf//nwVwQuEoZRZWsrZjzzCkB9+4IcJE3jn6qulXLpBwGajNiuLpSNH8twll+C32bjwmWcYsGqV0dEM9WVmJtcOHUqyz8dTS5cyrKnJ6EhdYq8Fo5R6VilVpZRa1h2BxB6034w8obKSZwsL+UBuRu48rRk+axZn/f3vONxu3rvqKuZOmYKWA6ndriY7m2cvvZTq7GzOfO01Dpw71+hIhlqanMxlxcU02Wz8Y/lyxtfUGB1pv3VkBPM8MCnEOUQHnL9xI6eVlvJWz568/IupB7F3sc3NnPC//3HUO++wedAgXr35Zkp/cTWL6F7NSUm8ePHFrB40iEmffsqETz9FRfFTIcvi4ri8uJhViYn8Zc0azi0tDetHMe91DUZrPUspVdANWcQenFJaysUbNzItN5f/yM3InZa/bh2TXnyROJeLb045hcVHHikfQ5PwORy8fdZZHDt9OuPmzCG1oYF3Tz89anfxNdntXDd0KH9at44rN2+mh9vN34qK8Ifhv9cuW4NRSl2mlFqglFoQiOKvQEIhu62NK9tvRn5EbkbutNTKSk7+z3/wOhy8ef31LD7qKCkXk9EWCzMmT+azKVMYsHo1Ez/7zOhIhvJYLNzdvz8v9ujByZWVHF9VZXSkfdJlBaO1fkprPUZrPcYSYXu5jTa5vBwFPNGvn9yM3EkWv5+JL72Ez27n3auvplrWrUxtwdixzDn0UEYvXEjh+vVGxzGUVor/9u7NmoQEzigvD8upMnm1MjmL1kwuL2dBejoVEbJ1sTsdNG0aOVu28NXZZ9OckmJ0HNEB3xx9NLUZGZzwwQfYd3j8dFRSirdyc+nb0sLoMNxZJgVjcgfW1pLtdvNJtJ4T2A9569czZsYMlo8dy/oRI4yOIzrIZ7fz4SmnkNLYyDEzZhgdx3BfZGVRa7cz1Ok0OkqndWSb8mvAHGCgUqpUKfW70McS25xQXk6dw8HsKH6u975wtLUx4eWXcaanM+vUU42OIzqptHdv5o0bx4E//EDvkhKj4xjKY7Fw1ujRvBSG07t7LRit9Tla6zyttV1r3VNr/Ux3BBOQ6XYzrqaGabm5+GXtpVOOeOcdkurrmX7++Xjllt+wNPOYY6hLS+PEDz7A5vEYHcdQ4foUTHnVMrFJ5eVYgU9leqxT+i1axJAffmD+hAlUFBYaHUfsI6/DwcdTp5JeV8fRX35pdByxD6RgTMqiNceXl7MgLY2tsrjfYQkNDYx/800q+vRh/sSJRscR+2lTYSHzDzqIsXPn0nPzZqPjiE6SgjGpA+rqyG1rk8X9zggEOO6VV7D6fEw/7zwCYTqtIHb21XHH0ZiSwonvv4/V6zU6jugEKRiTOmHrVurtdr6Xm5I7bOSsWfRes4ZZp5xC4y8fnCXClicmho9POonMmhqO/Ppro+OITpCCMaF0t5tDamuZnpuLTxb3OyRj61YO+egjNgwbxvKDDzY6juhiJf36sWj0aA7+/nvyysqMjiM6SF69TGhiRQVWrWVxv4OsXi8TX3wRd1wcX55zjlwDE6FmTJqEKymJk957D6vPZ3Qc0QFSMCajtGbK1q0sSk2lND7e6Dhh4eCPPyazvJwvzjmH1sREo+OIEHHHxvLJiSeSXVXFYd98Y3Qc0QFSMCYzur6efFnc77Ceq1czeuZMlhx2GJuGDjU6jgixdQMHsmTECA799ltyysuNjiP2QgrGZKZs3Uqj3c63sri/VzHNzUx45RXqsrP57uSTjY4jusn0yZNpiY/npPfew+L3Gx1H7IEUjImkeTwcVlPD5zk5eGWL7Z5pzfg33yTO6WT6BRdE7bNDolFbfDyfnXgiuRUVHPLtt0bHEXsgBWMiE8rLsWkt02MdMGjBAvr/9BPzjj+e6l69jI4jutnqwYNZPmwYR3zzDVlh+qyUaCAFYxZaM6W8nCUpKWxOSDA6jakl1dZy1FtvUVZUxMJjjjE6jjDItClTaIuN5cT33kPJVJkpScGYxMiGBnq2tvKxjF72yKI1E15+GYDPzzsPLeeEolZLQgLTpkyhR1kZ42bPNjqO2AX57DSJE7ZuxWmzMSsry+gopnbW5s302LCBmWecgVMeYRD1VgwdyqrBgznq66/JqKkxOo74BSkYE0jxeDisuprPc3PxyOL+bvV3Orm4pIQ1o0axaswYo+MIM1CKT084AY/dHpwqCwSMTiR2IAVjAhMqKnBozSd5eUZHMa0Yv5/bV6ygzuHg6zPPlNP6YrvmpCQ+P/54em3ZwoFz5xodR+xACsZo7Yv7y5KT2Sin0Hfr8vXr6d3Swl8HD8YtNxyIX1g6fDhrBgxg/JdfklZXZ3Qc0U4KxmCH+P30bmmRrcl7MLa2lqllZbzZqxeL0tKMjiPMSCk+Pekk/BYLJ7z/PshUmSlIwRjsQrcbl83GTLlefpdSPR5uWrmS9QkJPFNUZHQcYWLO5GRmTJpEwcaNHLBggdFxBFIwhkoNBDjJ6+WLnBzcsrj/a1pzw+rVJPr93D9kCF7Zkiz24qfRo1nfty/HfP45KQ0NRseJevIZa6CzvF5iQc6+7MaU8nIOranh6aIiSmR9SnSEUnzSfi/dlA8+AK0NDhTdpGCMojUXut0ssFrZIC+ev9KjpYUr165lQVoa7/bsaXQcEUYaU1P5csIE+q5fz8gffzQ6TlSTgjHIWL+fwYEAL8gljb9iDQT404oVeC0WHho8GB0GW5KV30/Wli1yZYlJLBwzho0FBRw3bRpJjY1Gx4laNqMDRKsL3G6agPccDgYYHcZkzt+4kcFOJ3cNHUpNTIzRcfYqf/16pj75JDavF4/DQWWfPpQXFlJRUEBFQQFtcrdc97NY+HjqVC574gmmfPghr593npydMoAUjAFSAgFO8Xp53eGgWf7R72RoYyPnbtrEtNxcZoXBzrqUmhqmPPMM7thYvp06lbTKSvJKShjzxRdY2rfK1uXkUF5QQEVhIeWFhdRlZ4NsWAi5+vR0vj72WCZ+9hnFixezdORIoyNFHSkYA5zp9RIHPC/TYzuJ8/m4bcUKqmJj+Vf//kbH2StHSwsnPvUUSmvevuYaGncoRJvbTc6WLeSVlJBXUkLR0qUMnTcPgLa4OCoKCigvLKS8oIDKPn3wxsYa9ceIaD+MHcvg5cuZ+NlnlPTtiyspyehIUUUKpru1L+4vslpZYpMP/47+sHYtOW1t/HHUKFpM/rFRfj+TX3iBlOpq3r/yyp3KBcAXE0NZv36U9esX/AGtSa2u3l44eSUl9Fm1CqU1AaWozc+nvL10KgoLaczIkCmdrmCx8NHUqVz2738z+eOPeevss+Xj2o3M/VkcgQ7w+xkaCHBdXJzRUUzl8KoqJldU8HKfPixLTTU6zl4d8d579Fm1ii/OPpuyjoy2lKIhO5uG7GxWjh0LBEdAuZs2BQtn40YGLVjA8O+/B6AlMTE4wmkf5VT16oVfRrz7pC4zk2/Gj+fYzz9nyLJlrCguNjpS1JCC6WYXejy4gHfkxWK7DLeb61evZlVSEi8UFBgdZ6+Gz5rFiG+/ZeH48aw4+OB9fj+e+Hg2Dx7M5sGDAVCBAOnl5dsLJ6+khL5LlwLgt1qp7tlz+yinvLCQ5jAoYrOYe8ghDF6+nEmffMLGoiJaZONFt5CC6UbJWnOqx8PbDgcuGaYDoLTmlpUrcQQC3D9kCH6TL373WbmSI959l/XFxcw+8cQufd/aYqG2Rw9qe/Rg2WGHARDndJK3cSO57aVTPHs2o775BgBnaurPo5zCQmp69CAgN0LskrZY+OiUU7jkySeZ9MknvHvmmUZHigpSMN3odI+HBJCzLzuYWlbGmPp6/j5gAKUmvyU5fetWJj/3HLX5+Xx+/vnd8jTN1qQkNhQXs6F9Wsfi85FVVra9cPJKShiwaBEAXrudqt69d5paa5NDvNtVZ2fz7VFHcfSXX7J82DBWDxlidKSIJwXTXbTmQo+HJVYri+SrTAAKmpu5fP165mRkmP66nDinkxOffhpvTAwfXXopXoPO5wRsNir79KGyTx8Wt/9YYn39z6OckhJGffUVY9q3SNdnZbG5Rw9Ke/WitHdvqrOyovox07MPO4xBK1Zw/Mcfs7mggFaTf1ET7kJWMFruANrJSJ+P4X4/N8TGomGnO5IOPPBAw3IZxerz8YeXX8YdG8uMs8/mwE7MiV9zzTUhTLYLbW1wzDHQ0gKzZvFbs/99tbbCggUwezZpc+aQOGsWI376CQBfQgLNw4bhKi7GWVxM87Bh+KNslFPTrx85F13ERYsXs+Guu3b5a5YtW9a9ocLYypUrd/tzMoLpJhd5PLQAb8n0GAATvvuO/Koqnjv1VJrNvOCqNVx6KcyeDW++CWYvF4C4ODj88OAbsGjePGJKS0lcupTEpUtJWrKE/GeeQWmNVorWvn1xDRuGa/hwnMXFuHv1iuitvK0DBlB+0UX0eOYZao89lsb29S7R9aRgukGi1pzu9fKu3U5TBH/idlTRpk0c8cMPzBk5klXbzomY1f33w8svw733whlnGJ1m3yiFu1cv3L16UXv88QBYXC4Sly/fXjrpM2aQ/f77AHhTU3EVFwffhg+nefBgAhF2EHTrxReTNnMmhQ8+yNLXXsMvBzBDQgqmG5zq9ZKInNwHiGtr46xPP6U2LY1PjjrK6Dh79tZbcMcdcN558Kc/GZ2mSwUSE2kaO5am9jM5BALElZQEC2fJEhKXLiXt22+DP2W10jJgwPbCcRUX48nJCetRjrbbKfnznxnyu9/R6x//YOPttxsdKSJJwXSDizwellssLJDFfU6eMYOk5maeOPdcvGYu3Pnz4YIL4JBD4Omnw/rFtEMsFlr79qW1b1+qp04FwNbQQOKyZdsLJ+uDD8h9800APFlZONvLxlVcTMvAgWi73cA/QOc1Dx5M+bnnkv/ii9QdcwxN48YZHSniSMGE2HC/n9F+PzfHxkb+i9RejFyxglErVzLt8MMpy8szOs7ubdkCJ50Eubnw3nsQYdNDHeVLTaXhsMNoaF+jUD4fcWvXkrRtlLNsGRlffglAwOGgedCg4DrO8OG4hg3Dl5FhZPwOKbvkEtJmzaLwgQdY+uqrBMy8HhiGpGBC7AKPh1bgDTN/td4NUhsbmTpjBiU9ejBz27SMGblcwXJpboYvvoAwuNG5u2ibjZbBg2kZPJjK9oOK9qqq4MaB9rWcnNdfJ+/llwFo69Fj+7Sas7iY1r59wWSjeB0TQ8kddzD40kvp9cQTbLr5ZqMjRRQpmBCK15ozPR4+sNtpjOLRiwoEOPPTT1Fa88aUKeY9h+H3w7nnwpIl8MknMHSo0YlMz5udTf0xx1B/zDEAKLebhFWrtm8eSP7hBzKnTQPAHx+Pa+jQ7dNqTaNHo00wOnQVF1NxzjnkvfoqdePH4xwzxuhIEUMKJoRO9XpJRhb3j5g/n75btvDG8cdTb+b7s267DT78EP7xD5g0yeg0YUnHxOAaMQLXiBHtP6BxlJeTtGTJ9rWc/OefRwUCOIcPZ+WTT4IJbs4uu/zy4FTZ/fez7JVXjI4TMYz/m41gF3o8rLJYmGuyaYHulF9RwYRvv2XJwIH8aOYRwTPPwMMPw5VXwh/+YHSayKEUnvx8avPzqW0vbUtzM5mffUbBww+T//zzbL3kEoNDQiA2NjhVdsUV9HzySaPjRAyTzlWEv6F+Pwf6/cF7x6J0eszu9XLOxx/THB/PexMmmPfjMHMmXHEFTJgAjz9u3pwRIpCQQNXpp1MzaRI9nn2WhOXLjY4EgHPUKCrPOIOcN99kYE2N0XEighRMiFzo8eAGXg+zrZtdafI335BdV8ebxx9Pi1mff7N2LZx2GvTvD2+8YYrpmmix6cYb8WRm0vfOO7G0thodB4AtV16JJzeXK+bPx+7zGR0n7EnBhECc1pzVvrhfb9YF7RAbuGEDh/74I9+OGcM6sz7jpb4eTjghOGL5+GMw8/pQBPInJbHhzjuJKS2l9+OPGx0HgEB8PCW3306+08mZJhlZhbPofPULsaleLylE77X8CS0tnP7ZZ5RnZjLtiCOMjrNrXi+cfjqUlATPuhQVGZ0oKjkPOICKc88l+733SP3uO6PjANB04IF8UVTECWvW0K+21ug4YU0KJgQu8HhYa7HwfTQu7mvNqdOnE9/WxusnnIDPjFNOWgcX8r/6KnhKv/1SSGGM0ssvp7l/fwrvvRdbXZ3RcQB4efhw6mJjuWL+fGx+v9FxwpYUTBcb5PdzcBQv7h+4dCnD1q5l2hFHUGHWQ4qPPw5PPRXclnzhhUaniXra4WDD3XdjbW6m8P77d3qUhVFaHQ6eGjOGXk1NnLZihdFxwpYUTBe70OPBA7wWhYv7GfX1nPjll6zr3ZvvzHpY7eOP4frr4dRTgzckC1No7duXLVdeSdq335L1wQdGxwFgcV4eMwsKOHnVKgrq642OE5akYLpQjNac7fXykd1ObZQt7lsCAc7++GP8FgtvTpmCNuPobckSOOccGD0aXnwRouzvyOwqzzqLxgMPpPejjxKzebPRcQB4ceRIGmNi+P38+VhlqqzT5DOsC53k9ZKmdVQu7o+fM4fe5eW8N3EijWZ8tkZFBZx4IiQnwwcfgFxqaD4WCxv+/Ge03U7fu+4CE2wTbnY4+N8BB1DQ0MDUVauMjhN2pGC60EUeDxssFr6NssX93lu3Mn72bBYOHcqSQYOMjvNrra0wdSrU1MBHH0GPHkYnErvhzclh4y23kLh8OfnPP290HAAW9ujBd717c+rKlfRqaDA6TliRguki/f1+Dm1f3Dfl9FCIODwezvr4YxqTkvjw2GONjvNrWsNvfwvz5gWfTDl6tNGJxF7UHXfcz6f8ly0zOg4Az48ahctu5/fz52MJBIyOEzakYLrIBR4PXuDVKFvcP/Grr0hvaOCNKVNoi4kxOs6v3XMPvP46PPggnHKK0WlEB2266SY8WVnBU/4tLUbHwRkTw7OjR9O3vp4TV682Ok7YkILpAg6t+Y3Xyyc2G9VRtHA8ZO1aDlqyhJnjxrGxVy+j4/zaa6/BXXcFtyLLcz7Cij8xMXjKv6zMNKf85/XqxdyePTl9+XJ6NDUZHScsRM+rYQid4PWSEWWL+0kuF6dPm0ZpTg5fHHqo0XF+be5cuPji4CHK//43Ks8khTvn6NGUn3ce2e+/T+q33xodB4BnR4+mzWbjivnzUTJVtldSMF3gIo+HTUox04yn1kNBa8747DPsXi+vn3ACfrNtati0CU4+ObiY/+67YMapO9EhZZddFjzlf9992ExwbUtjbCzPjxrFgNpajl+71ug4picFs5+K/H6OiLLF/YMXLWJgSQmfHH001WZ77rrTGdyO7HYHD1VmZhqdSOwH7XCw4Z57THXK//vevZmfn8/Zy5aR63QaHcfUpGD20wUeDz7glSiZHsuuqWHKzJmsLCpi7siRRsfZmd8fPEi5YgW89RYMHmx0ItEFWouKgqf8v/uOrPffNzoOKMUzBxyAx2Lh8gULUCYoPbOSgtkPdq051+tlms1GZRQs7lv9fs7++GPcDgdvT55svnWNm26CTz6Bf/4TjjvO6DSiC1WedRaNBx1E78ceI9YEp/zr4+J4ceRIhlRXc9y6dUbHMa3If1UMoeN9PrK05vkoGb0c99139Kiq4u2JE3GZ7ST8f/8Ljz4K11wDv/+90WlEV9t2yt/hoOiuu1AmOOX/TUEBP+Xmcu7SpWS5XEbHMSUpmP1wocfDFqX4KgoW9ws3b+bIefOYN2IEK/v3NzrOzr78Eq66CiZPhr/9zeg0IkS82dk/n/J/7jmj44BSPDVmDAHg8gULTLE+ZDZSMPuoTyDAeJ+PlxwOAmabKupisW1tnPXpp9SmpfHR0UcbHWdnq1cHHxw2aFDwQGUUlH00qzv2WGomTyb/uedIWLrU6DjUxsfz8ogRFFdVMX7DBqPjmI4UzD66wOPBD7wcBdNjJ3/xBclOJ6+fcAJeM/15a2uDjzy224M7xpKTjU4kusGmG2/Ek51N37vuMsUp/y+Lilianc35ixeTYYI8ZiIFsw9sWnOux8PnNhtbI3xxf8SKFYxesYIvDz2U0rw8o+P8zOOB006DzZvh/fehoMDoRKKb7HTK/7HHjI4DSvHfMWOwAJfKVNlOIvvVMUQm+XzkRsHifmpTE6fMmMGm/Hy+HjfO6Dg/0zq4kP/NN/Dss3DIIUYnEt3MOWpU8JT/Bx+QOmuW0XGoTkzk1eJiRlVUcMSmTUbHMQ0pmH1wocdDmVJ8EcHz/UprzvzkEyyBAK9PmULATCO1Rx4JFsuf/wznnmt0miCtobTU6BRRpeyyy2geMIDC++83xSn/z/v1Y2VmJhcuWkRaa6vRcUxhr68aSqleSqmvlVIrlFLLlVLXdkcws+odCHCMz8fLDgf+CF7cP3z+fPpu2cKHxx5LXVqa0XG2G7J2LdxyC5x5ZvAiSzNYsADy86FXLxg6FG64AWbMgLY2o5NFNO1wsOHuu7E2N1N0332GT01ppfjPgQfiCAT43cKFhucxg458WeoDbtBaDwHGAVcppYaENpZ5nefxAPBSBE+PpdfXM/Hbb1k6YAALhg0zOs52+ZWVnPPxx3DggfD88+Z45HFpKZx0EjQ0BA965ufDv/4FEyZAejpMmRI8+LlmjbzghEBrURFbrrqK1O+/J+u994yOQ0VSEq8PG8aBW7dyyJYtRscx3F7neLTW5UB5+387lVIrgR7AihBnMx2r1pzn8TDDZqPUDC9uITJl5kz8FgsfHHusaU7rJzmdXPTOO7TExuJ4/32IizM6ErhcwXvPXC6YPx+2lXFzc3B9aNq04NunnwZ/vLAQJk0Kvk2ZAma7JDRMVZ55Jqnff0/vxx/HOWYMbb17G5rn0/79GVdaysU//sjy7GwaY2MNzWOkTr1KKqUKgFHAvJCkMblRfj/5WvNGBD9ULNHlYtjatXx/wAE4ExONjrPdoT/+SIrLxfOnngpm2c32xhvw00/w3HM/lwtAQgIcfzz84x/Bkcv69fDvfwfvRnvyyeBNzy++aFjsiNN+yl95veS8/rrRadAWC/8ZM4Zkj4ejo/xsTIcLRimVCLwDXKe1/tXTdpRSlymlFiilFgQi9DkJLe1fzUfy2ktLfDwemw2H12t0lJ3Utq8DmWqzwbZS2duCblFRcNRSXx/8/oUXBteQRJexuN1Y/H7aTLJd3dc+Oo3m0Qt0sGCUUnaC5fKK1vrdXf0arfVTWusxWusxFjO9CHShyvZiyYnQAoXgC3hZbi69ysuNjrKTNYWFAAw001eEBx0UXNh/6609/7rXXoORI2H5cnj11eD6kdnucgtzKXPnAtBw8MEGJwnq1dgIwOaUFIOTGKsju8gU8AywUmv999BHMq86pfAB2RG+WLslL4/8ykqsfr/RUbZrTEqiPCuLgSUlRkf5mVLBw57Tp8OuHqHrdMJFF8FvfhPcXbZ4cfBxAqLLpc6eTVvPnrhN8ujuPg0NBIBSKZi9OhQ4HxivlPqp/e34EOcyJa0U1UpF9AgGYHNeHna/n9yqKqOj7GR1YSEFpaXBF26zOP304MPNPvlk5x+fPx9GjYKXXoL/+z+YNUtuGwgR5XaTtHAhjSYZvQD0bmykMjERdwSfleuIvRaM1vo7rbXSWg/XWo9sf/u0O8KZUZVSkT+Cyc8HoLfJpslWFxZiCwTgq6+MjvKzgw8Objp4++3g9wMB+Otfg7cLeDwwcybcfbdcwhlCSYsWYXW7TTM9BsEpsi1RPnoBOcnfaZUWS8QXTENSEs1xceRVVxsdZSebevbEbbcHt/6ahcUSnCb79NPgjrHjjoNbb4WpU4NTYocfbnTCiJc6Zw4BhwPnAQcYHQUAu89HnsvFJikYKZjOqlKK7AifIkMpKjIzyampMTrJTvxWK+v69IHPPjPXocXTTw+e2h82DObOhf/9D958E0x0A0IkS5kzB+eoUQRMsmOrZ1MTFq3ZnJpqdBTDScF00rYRTKQ/h7syM5Pc6mpzvZADq4uKYNOm4HNgzOKww6Bv32DB/Pgj/O53pjmgGukcW7cSt2mTqabH+rTvIJMpsg6c5Bc7q1IKO5CmNXUR/CJSmZlJrMdDitNJo4mes7K6fbsyn30WfMiYGVitsGwZxMRIsXSz1DlzAGg00Y3avRobcVutVMhWdBnBdNb2szAm+8q+q1VkZgKQa7JpsoaUlOCJeDOtwwDExkq5GCBlzhza8vMNvx5mR70bGylNTkZH6HnAzpCPQCdVtf+jifSF/sr2gskx2UI/EDwV/803IE8PjGrK4yF5wYLg9mQTlXvvhoaoP2C5jRRMJ0XDaX6A1rg4GhMTTTeCAWDy5ODZk5kzjU4iDJS0eDHW1lZTnX9Jbmsj1e2WBf52UjCdFC0jGAiOYsy2kwwIbv2Njw+uw4iolTJ7NgG7nSaTbE+G4PQYyBUx20jBdJITaCHyRzAQXIfJqa1Fme3PGhsLRx9tvnUY0a1S5szBOXIkgfh4o6Ns17uhAZCC2UYKprOUiorT/ACVWVnYfT7S2z9pTGXSJFi3Lvgmoo6jooL4khJTTY9BcATTEBtLk0nO5BhNCmYfVFksUTOCAfPtJAOC6zAgo5goldK+PdlM518gWDAyevmZFMw+qFKKrGgYwWRkACYtmL59oV8/WYeJUilz5uDOzaVt27koE1CBAL2amqRgdiAFsw8qLZaIPwcD4HU4qE1NNedWZQiOYr7+OnhNi4gayuslZf58GseNM9X25NzmZhx+vxTMDqRg9kGVUmRqjS0KSqYiM9OcIxgIrsO0tgavwhdRI3HJEqwtLTSY6PQ+yAL/rkjB7INtZ2GiYposM5PM+npTPXxsu6OOCl7PIuswUSVlzhwCNhtNY8YYHWUnvRsbCShFqYmuVjKaFMw+iKazMBWZmVgDATLr6oyO8mvx8XDkkbIOE2VS58zBNWIEAZPd9dW7sZHyxES88uyf7aRg9kG0nOaH4FZlMOlCPwTXYVatgo0bjU4iuoG9qor4detMt3sMggUjNyjvTApmH2wbwUTDQn91ejp+i8WcJ/ohuA4DMk0WJVLmzgUw3fmXGJ+PbHnI2K9IweyDqvYRTMQ/eIzgQ75q0tKCz4Yxo4EDg8+6l2myqJA6ezaerCxa+/Y1OspOejY2YgG5g+wXpGD2gVspGoiOEQxgyqdbbqdUcBTz5Zfg8RidRoSQ8vlI/uGH4PSYibYngzxkbHekYPZRpcUSFSMYCK7DpDc0YDfrC/jkydDcDN99Z3QSEUIJS5dia2423fQYBB8y1mazUWWyjQdGk4LZR9FyHxkERzAWILu21ugou3b00WC3yzpMhEudM4eA1UrTQQcZHeVX+jQ0sCU5GW2ykZXRpGD2UZXFElUFAybeSZaUFLzCX9ZhIlrKnDm4hg/Hn5hodJSdaU0vuYNsl6Rg9lGVUlEzRVaXmorXZjNvwUBwmmzZMigtNTqJCAF7TQ0Ja9YEr4cxmdS2NpI9Hlng3wUpmH1UqRTJQHwUjGK0xUJlRoZ5F/pBtitHuO3bk012PQz8vMAvI5hfk4LZR9vOwkTDdTEQvDLGtFuVAYYOhZ49pWAiVMqcOXgyM2np39/oKL/SS+4g2y0pmH0UTaf5IVgwKS4XcWa9uXjbduUZM8DrNTqN6Eo+Hynz5pnu9uRtejc2UhcXhysmxugopiMFs4+i6TQ//LzQb+ppssmToakJ2qdTRGRIXLECm9Npyu3JIA8Z2xMpmH1UGUWn+eHnO8lM+2wYgGOOAZtNdpNFmJTZs9EWC40m3J5sCQToIQ8Z2y0pmH1UoxR+omcE05CURJvDYe6dZCkpcMghsg4TYVLnzME1bBh+E16Dn+dy4QgEpGB2QwpmHwWUoiaKtiqjFJVmvjJmm0mTYNEiqKgwOonoAra6OhJWrTLv9Jgs8O+RFMx+qFIqakYwsMPTLc38Z548Ofjt9OnG5hBdYtv2ZDNezw/B9Re/UpSZcHRlBiF5Mo7f76exfW94JCsD0gOB/f6zlpWVdU2gEFtttzO2tRXX+vU0xsUZlqNuTw8/69WL1JwcvB98QPOJJ3ZfKBPzmPUOuQ5I+v57PGlpNBQWdutlplVVVR36dTlVVWyJi2OrWa9R6gbePezalBHMfqgEco0O0Y1K208q92yfFjAlpfCOH4/966/BjI95Fh3n95M2fz71Y8eCxZwvVUXNzWyQCy53y5x/a2GigigtGJOPTr3HHIOloQHbjz8aHUXsh8RVq7A3NgYLxoTifT7y2trYYLa70UxECmY/VAAxQKrBObpLU2wsjTEx208um5X3qKPQFgv2L780OorYD+nz5qEtFhoOPNDoKLtU2NwMICOYPZCC2Q/b9ilF2yjG1FNkgE5Lw3fAAdi/+MLoKGI/pM2di3PwYHwm3aFVtK1gZASzW1Iw+yFaC6ZHYyPKzDvJAO+xx2L96SeU2bdVi12yNTSQuGqVaafHAApdLlxWK5VyRcxuScHsh6gsmJQU4nw+Mtq/ejMr7/jxKK2Di/0i7KTNn4/S2tQFU9TczMaEBFPej2YWUjD7ISoLJhx2kgH+kSMJZGTINFmYSps7F29KCq5Bg4yOsmtaU9TczHqZHtsjKZj90AC4ibKCaZ8P72XynWRYLHiPPjo4gomW2xYiRSBA6g8/UH/QQabdnpzldpPk81EiC/x7ZM6/vTASbVuVWx0OauLjTT+CgeA6jKW2FutPPxkdRXRC4po1OBoaTD89BrKDbG+kYPZTtBUMtO8kM/sIBvAefTRaKexffWV0FNEJaXPnopUKjmBMSrYod4wUzH6qAHKMDtHNSlNSyGtsxGLyqSedmYl/5EhZhwkzafPm4Ro0CF9amtFRdquvy0VlTAzNdrvRUUxNCmY/ResIxhEIkONyGR1lr7zHHINt4UJUfb3RUUQH2JqaSFqxwtTTYxAcwcj6y95JweynSiCL6PpAhstOMgiuw6hAAPvMmUZHER2QOn8+KhAwdcHYAgF6t7TIDrIOiKbXxZCoAKwESyZalCUnEyA8CsY3ejSB1FS5NiZMpM2dizc5GefgwUZH2a1eLS3YtZYRTAdIweynaDwL47XZqExKCouFfqzW4Hblr76S7cpmFwiQ9sMPwbvHrFaj0+yW7CDrOCmY/RSNBQPhcSfZNt5jjsFSWYl1+XKjo4g9SFi3DkddnamnxyC4/uJVii3x8UZHMT0pmP0UtQWTkkKu04k9DJ654h0/HkB2k5lcWvvTK81eMH1dLjbHx+Mz6SFQM5GP0H6qbP82GgvGqjV5TU1GR9krnZODb/hwOQ9jcmnz5uEaMABverrRUfaoUB4y1mFSMPupBWgiCgsmjHaSQXAUY5s3DxUGhRiNrE4nycuXUzdunNFR9ijR6yXH7ZYr+jtICqYLRONZmIqkJHwWS/gUzLHHovx+bN98Y3QUsQupCxag/H4aTD49tu0Ev+wg6xgpmC4QjQXjt1opD5edZIBvzBgCSUmyXdmk0ubNw5eYSNOQIUZH2aNtO8jWS8F0iBRMF4jG62IgvHaSYbfjO+qoYMGY/GFpUUdr0ubNo/7AA8FmMzrNHhW5XDhtNmrkIWMdIgXTBaJxBAOwJTWV7OZmYr1eo6N0iPeYY7Bu3Yp11Sqjo4gdxK9fT0xNjel3j0FwBLNBHjLWYVIwXaACSAOi7Wuabc+G6REm02Qe2a5sSmnz5gGYfv0FrWUHWSdJwXSBbVuVo22aLNx2kukePfANHizrMCaTPncurn798GRmGh1lj3La2kjw+ymRHWQdJgXTBaL1sGV1YiJuqzVsFvohuJvMNncuOJ1GRxGAtbmZpKVLw2Z6DOSKmM6QgukC0VowWinKUlLCZgQDwfMwyuvF/t13RkcRQOrChVj8/rAqGNmi3HFSMF0gWgsGgtNkvcKoYHzjxqETEmQdxiTS5s7Fl5CAs7jY6Ch7VeRyUR4bS4vJd7qZiRRMF6hq/zYaC2ZLaiqpbW0ktrUZHaVjHA68hx8evDZGtisbS2tS582jYcwYdBi8aBfJAn+nScF0AR9QTXQWzLadZOG2DmPdvBnL2rVGR4lq8Rs3EltVFRbTY/ZAgF4tLVIwnSQF00Wi9SxMuO0kg+B5GEAuvzRYuNyeDNC7uRkryA6yTpKC6SLRWjD1cXE0OxxhNYIJ9O6Nv39/HLIOY6i0efNoLirCk51tdJS9kiti9o0UTBeJ1utiUIrSlJSwWuiH4CjGNns2tLQYHSUqWVpaSF6yJCxGLxAsGI9SlMbFGR0lrEjBdJFoHcFAcKG/Z2NjWC2ae449FuV2Y//+e6OjRKXUH3/E4vVSb/Lr+bcpcrnYlJBAQB4y1iny0eoiFUA8kGR0EAOUpqSQ4PGQ1tpqdJQO8x18MDouTk71GyRt7lx8cXE0hcH2ZJCHjO2rvRaMUipWKfWDUmqxUmq5Uuru7ggWbqL1yZYQngv9xMbiPewwKZhupjwe+vznP+R+9BH1hxyCttuNjrRXyV4vWR6PFMw+6MgIxg2M11qPAEYCk5RS4TGu7UZRfdgyDLcqQ/vtyhs2YNmwwegoUSFh7VpGXnopvV55hcopU1h3881GR+qQQpcLkB1k+2Kvp5u01hpwtX/X3v4WPpPt3aSs/dvDgW+NDGIAV2wsdXFxHLZhA98XFNAUJguh27Yrx917L81PPgnyjI8uY2lrI3HNGpJWrCBxxQqSVqwgtrIST3o6y//6V+oPOcToiB2jNZMrgl8+yg6yzuvQ8VmllBVYCPQDntBaz9vFr7kMuKxr44WPVcB7wF3AN0C0LR0/d9BB/OG777hr+nQeOfpotraPaswsUFREy//9H/H33IOlqgrXiy+i09ONjhV+AgHiNm0iacUKklauJGnFChI2bED5/QC05ebiHDqUraefTtWkSfjap1RNT2v+sG4dEysreaV3b+rkC5BO61DBaK39wEilVCrwnlJqmNZ62S9+zVPAUwBKqagc4VwEzAfeBEbz87pMNFjUsyf3HnccN8ycyZ3Tp/OPI45gea75Jwzbrr2WQO/eJFx1FcmTJuF87TUCffsaHcvU7LW1wTJpL5TEVauwtZ8T8SUk4Bw8mNLf/AbnkCE4hwzBG46lrTWXb9jAaWVlvNWzJ/8rLDQ6UVjq1AVAWusGpdTXwCRg2d5+fbRpAk4D5gFvAMcSvEYmWpRkZHDnxIncOHMmN331Fc+OHcusMHix9pxyCoEePUg87zySJ07E9dJL+A4+2OhYprC7qS6AgNVKS9++VB977PYyae3dGyJgK+/FGzdy9pYtfJCfz7/79pUnWO6jvRaMUioL8LaXSxxwHPDXkCcLU8uAS4FXgAeAm4yN0+1qExO5Z8IErvn2Wy6bO5dcp5O3RoxAm/wT1HfQQTRNn07S2WeTdOqpNP/zn3hOP93oWN2rE1NdziFDaB44kEAEThv1fPFFDtu0iU9zc3m8f38pl/3QkRFMHvBC+zqMBXhTa/1xaGOFt1eBg4EbgbnAO8bG6XatDgePHH00F86fz0nLl5PlcvHUwQfjtVqNjrZHgcJCmqZNI/HCC0m8/HJaNm6k7YYbIvYFZqeprhUrglNd7TcbbJvq2nLuubiGDME5eHB4TnV1Uo/XX6fg6aeZkZ3N3wYONP0XRmbXkV1kS4BR3ZAlolwPHAA8R3BUs9rYON3Ob7Hw7EEHUZmUxDmLFpHR3MyjRx6JMzbW6Gh7pNPScL79NgnXXUf8Aw9gLSmh+dFHweEwOtp+sbS1kbh6dbBI2kcnv5rqmjAhONU1eHDETHV1Rt6771L4xBPUHHUUDwYCBKRc9pv5H8IQprzAGcCPwLvAQUCzoYkMoBSfDBlCVWIiv589e/sOs/LkZKOT7ZnDQfMTT+AvKiL+gQewlJbieuEFdLjsfgoEsKxZg23hQmw//sjI77/feaorLy8qpro6I+ejj+j76KPUHnYYq++8k8Ddcp68K0jBhFAZcDYwA3im/b+j0fzevamLj+f6b77hzunTefyII1iZY/KrQZWi7cYbCfTpQ8I115A8cSLON94gUFBgdLJfUZWVwTLZ9rZoEar9cGAgOZnWAQOibqqrM7KnTaPfww9TN3Ysq+6+OywefhYu5CMZYl8DtwMPAnOAx42NY5j1mZncNXEiN379Nbd89RX/GzuW74qKjI61V54zziDQsyeJ559P8oQJuF5+Gd9BBxkXqKUF2+LF28vE+uOPWEtLAdA2G/6hQ3GfcQa+Aw7Ad8ABBPr1Y8WqVcblNbnML7+k/wMP0DhqFKvuuw8d5lOhZiMF0w3+CowDHgYWEH2HMLepTkzk7okTuXbWLK6YM4dsl4t3i4tNv4juO/hgmqZNI+mcc0iaOpXmJ57Ac8opof+NAwGsa9ZgbZ/qsi1ciHXFiu1TXf7evfEdeCBtV1yB/4AD8BUXQ5jcomAGGbNmMfAvf6Fp2DBWPPhg1E8ThoIUTDe5kGC5ROMhzB21OBw8dPTR/PaHHzh16VJynE6eHjcOn9l3mPXrF9xhdsEFJF5ySXCH2XXXdWk57m2qyz96NG3XXRccnYwejc7K6rLfO9qkzZnDwDvvxDlwICseeoiAFHNISMF0kybgVKL3EOaO/FYrT48bR2VSEmcuXkxm+w4zl8m/gtQZGTjffZeEa64h/t57gzvM/vY32JcbgX851bVwIday4I1226e6zjwT3+jR26e6om1XV6ikLFjA4DvuoKWoiOWPPIJf7hgLGSmYbhTthzB3ohQfDhtGZWIil8+Zw53Tp/PIUUdRafYdZjExNP/nPwQKC4l7+GEsW7bgev559J7uXttxqqt9umunqa4+ffCNHUvb6NEy1RViyYsWMeTWW2nt2ZNlf/87/qRofIJT95GC6WbRfgjzl+YVFFCXkMAfv/mGu6ZP57Ejj2S12Z/RrhStt96Kv6CAhOuuI2nyZFyvv06gd+/gT1dUbC8Smeoyj6SlSxl6yy24c3NZ9thj+MLgQtZwJwVjgF8ewox2a7OygjvMZs7k1i+/5Klx45gTBpcLes4+O7jD7IILSJ4wAd/BB+9+qmvbrq6+fWWqywCJq1Yx9Kab8GRksOyxx/CmpRkdKSpIwRjgl4cw/+b14g6DJ/uFUlVSEndPmMB1s2Zx1ezZ5LhcvD9smPl3mB12WHDx/5JLsC5eHJzqOuAA/KNHy1SXSSSsW8fQ66/Hl5zM0scew5OZaXSkqCEFY5AdD2FeMm8eTxx6qOlfTEOtOSaGB8eP55J58zh9yRJynE7+N3YsfrPvMBswgKZZs4yOIXYhrqSEYdddRyAuLlguZj/gG2FkrG6gbYcwD960iYmro+22sl3zW6389+CDeXv4cA4vKeGWr78mwe02OpYIQ7GbN1N83XVoq5Wljz2GOz/f6EhRRwrGYH8FFvTsyTk//siAqiqj45iDUrxfXMy/DzmE/tXV3Pn552Q7nUanEmEkZutWiq+7DgIBlj72GG29ehkdKSpJwZjAfw8+mJrERK7+7jtSWluNjmMaswsLeXD8eJLa2rhr+nT6V1cbHUmEgZjKSoqvvRaL282yRx+lNQw2jEQqKRgTaHU4eOzww4n3ePjDd99hDQSMjmQaq3NyuHviRFocDm774gvGbtxodCRhYo6aGoZdey02l4tlf/87Lf36GR0pqknBmERpWhrPjB3L4KoqzvzpJ6PjmEpFcjJ3TZhASUYGV3//PbGPPgpaGx1LmIy9ro5h112Hva6O5Y88QvPAgUZHinpSMCYyu7CQzwcMYMrKlRy4ebPRcUzFFRvLA8ccw/cFBcTfey8J114LXq/RsYRJ2BoaGPbHPxJTWcmKhx/GOXSo0ZEEUjCm88ro0azNzOSyOXPIa2w0Oo6p+KxWnjzkEFpvuomYV14h6cwzUfIxinpWp5Nh119PbGkpKx54gKYRI4yOJNpJwZiM32rln4cfjsdq5bpZs4iRr9J31n5Ni+uJJ7DNmUPypElYNm0yOpUwiLW5mWE33ED8xo2svP9+GseMMTqS2IEUjAnVxcfzxGGHked0csm8ebLesAues8/G+fbbqMpKkidOxLpggdGRRDeztLQw5KabSFizhlV3303D2LFGRxK/IAVjUityc3lrxAg5hLkH265p0QkJJJ98MvYPPzQ6kugmFrebIbfdRvLy5ay+807qDj/c6EhiF6RgTOyjIUPkEOZeBAYMoGn6dHzFxSRdfDGx//ynjPginHK7GfynP5GyaBFrbr+d2qOPNjqS2A0pGDNTSg5hdoDOzMT53nu4p04l/q67iL/hBtlhFqGU18ugO+8k7YcfWHfLLVRPmGB0JLEHUjAm1+pw8Lgcwty7uDian36a1uuuI/aFF0g65xxUU5PRqURX8vkYePfdZHz/Peuuv57KKVOMTiT2QgomDGxJS+NZOYS5dxYLrX/+M65//APbt9+SdPzxWEpLjU4luoLfz4D77yfzm2/Y8Ic/UHHKKUYnEh0gBRMmvpdDmB3mOfdcnG++iaWsjOQJE7AuWmR0JLE/AgH6P/QQ2TNmsPHyy9l61llGJxIdJAUTRuQQZsf5jjySps8+Q8fEkHziidg/+cToSGJfaE3fv/+dnE8/ZdNvf0vpeecZnUh0ghRMGJFDmJ0TGDSIpunT8Q8eTOKFFxLz5JOywyycaE3hP/9J3gcfsOXcc9ly0UVGJxKdJAUTZuQQZufo7GyaPvgA7wknkHDHHcTffDP4fEbHEnujNQX/+Q893nqLsjPOYNPll0f9E1/DkRRMGJJDmJ0UH4/r2WdpvfpqYp99lsRzzwV5gJmp9X7uOXq++irlU6dScvXVUV0uaR4PDy1eTI+WFqOjdJoUTJja8RBmfzmEuXcWC6133UXz3/6G/euvST7hBFRZmdGpxC70fOklej/3HBVTprD+j3+M6nKJ9/l4cMkShjU2khyGU+JSMOFqh0OY18ghzA5zX3QRrtdfx7pxIykTJmBdssToSGIH+W+8QcFTT1F13HGsu+kmsETvS5Td7+cvy5ZR1NzMnUOHsjIlxehInaZ0CObwbTabTgnDD4ZRkpKS9vn/HeTx8F5FBUscDs7NycEXBV/tFRUV7ff7KHS5uH/JEpJ9Pv4yZAhzMzO7IJk51dfXGx2hQ86srua2sjJmpKRwW0EBfgP/LdfV1Rn2ewNYtObfNTVMbm3l2owM3k9IMDTPnlRUVOB2u3f5lxW9Xx5EiFUOB7elpzPW7ebmhgaj44SNksRErjrgADbHx/OXpUs5RQ5kGmpqbS23lZUxMzmZPxlcLobTmnvr65nc2spdqammLpe9kYKJAO8nJvJCUhKXNTUxubnZ6Dhhoy4mhj+OGsWczEyuXruWq9auxSK78rrd8XV1/HnLFr5PSuLmgoKoGIXvyQ2NjZzrcvGv5GSeS042Os5+kYKJEPempfGjw8HDtbX0DcPFQKO0Wa3cNWwYb/bqxWmlpdyzdCmxso252xxXX889mzczPzGRGwoL8UbxmgvARU4n1zQ18VpCAg9HwDJDdP9tRhCvUlyZlUWbUvynupp4uRSzwwJK8Z9+/XhswADG1tby+KJFZLjdRseKeEc1NHD/pk0sTkjgusJC3FFeLic1N3N3fT3T4uK4PT09InbPRfffaISpsNm4OjOTIq+Xv9bWyiHMTvqwRw/uGD6cHq2tPLFwIUUul9GRIk6C38+AlhZOq6nhoU2bWBEfzzVFRbRZrUZHM9Thra38rbaWOTExXJOZGTFrULKLzAT2ZxfZrvy+sZFbGhq4Oy0t7Odwd6UrdpHt8f27XDywZAkJPh93Dx3K/IyMkP5+odadu8iU1mR7vfR0u+np8QTf3G56tH+b5vdv/7Ur4uK4vG9fXDZbt+XrqO7cRTbC7ea1qio22myclZODM8xGcnvaRSYFYwJdXTBozVPV1Rzd2srZOTksjI3t2vdvsFAXDECm2819S5ZQ1NzMP/v358MePUL+e4ZKVxdMrN+/vTx6bCuS9m/zPR4cO7ym+IByh4Myh4PSmBhKHQ7KYmLY4nCwPi7OtAv63VUwfb1e3q6sxGmxcFpODtVhOJKTgjG5Li8YICkQ4MPycuK15oS8vLD8h7s73VEwALE+H39esYKDa2t5s1cvnurbl4BJXxD3pNMFozWZPt/20ujxi9FI5i82QTgtFkpjYihzONjS/u22Mql0OExbInvSHQWT6/PxbmUldq05LSeHzXZ7yH/PUJCCMblQFAxE7iHM7ioYCB54u3LtWk4tK+O7zEzuHzIk7NYLdlUwjkCA/B1GHtvLpL1Q4nZ4XQgAlXb79tL4ZZk0Wq0RsSC9o1AXTIrfz9tVVeT5fJyVk8NyhyOkv18oScGYXKgKBmCqy8VjtbU8lZzM/WlpIft9ulN3Fsw2p5SWcuXataxNSuL24mLqY2K6PUOnaE2K10t+ayvJtbW/KpKcX2xlb7FYgtNXO4w+tn1b7nBE3fbhUBZMXCDAK1VVDPN4uCA7m7lhPoW9p4Ix3+qa6FLvJyYy2u3msqYmFjkcfBbGp4KN9F7PnlTExnLH8uX8e+FCbhs+nI2JiYZmsgUCZLe1kd/aSn77t3mtreS1tZHX2krCDgvqAFV2O6UOB/MSEyn7RYnU2WwRNwoxI5vWPFlTw0iPhyszM8O+XPZGRjAmEMoRDIBda96oqGCA18vJeXmsD9O53m2MGMFs09/p5L4lS4j1+7ln2DAWpKeH9PdL9HrJ21Yi7W957YWS1dbGjpN1HouFrbGxlMfFsTUujvLYWLbGxbHa62Wrw0FblI1C9kcoRjBKa/5eW8upLS3ckp7O6wZ/gdJVZIrM5EJdMBBcUPy4vJx6q5WTc3NpCeMXGyMLBiCrrY37lyyhoKWFxwYM4JP8/H1+X5ZAgCy3e/soJG9bibSXStIvFtTr7PadCmT7f8fFUetwoHcxCgmXyy7NpMsLRmv+3NDAJU4nD6ek8K8Ien2UKTKx/RDmy1VV/LW2lqszM2VKZB9Vx8ZyzejR/N/y5dywejX5ra38r6holy/uAHE+H3ltbfTYNvrYYSort60N2w5f5HmVoqK9OFYmJ28fhZS3F0qrCc+MiL27wunkEqeTZxMT+VcEnk3bHfnXGkXmxMXxSGoqtzQ08KPTGZGHMLtLq83G7cXFXL12Leds3kx+ayvv9eixy1FI6i8W1BttNsrj4liTlMQ3WVk7jUKqY2LCciu02L0zXS5ua2jgg/h47klLi6ov7KRgosyTycmMcrv5U309SxyOiDuE2Z0CFguPDxhAWVwcV6xfz5HV1QD4laIyJobyuDi+zcraaRSyNTaW5jBfAxMdd2xLCw/W1fFNbCw3ZGTsdpQbqWQNxgS6Yw1mp98vzA9hGr0Gsyv9nU6SvV7K4+KojInBb6I1LlmD6byuWIM5qK2Nl6qrWWm385vs7LBe99wTeeCY2InTYuH3WVkkBwL8s7oaq1yKud/WJiWxMD2drXFxpioXYYxBHg//q66m1Grl4qysiC2XvYnOP7XY/iTMcfIkTCG6VC+fj5eqqmixWDg/O5v6MJsh6EqyBhPFth3CvLz9EOY0OYQpxH7J9Pt5qaoKB3B6djZbo3zXn4xgoty96ekscjh4RJ6EKcR+SQwEeKGqily/n4uzslgrmzmkYKKdRyl+L0/CFGK/xGjN09XVDPR6uSIzkx/NflddN5GCEfIkTCH2g0VrHqup4RC3m5syMpgZF2d0JNOQghHAz4cwT2xp4WKn0+g4QoQHrflLfT3Ht7ZyT2oq78k65k6kYMR2TyYn83lcHH+qr+eAtjaj4whhetc3NnKey8UTyck8Izdj/IoUjPiZUtyQmUmpzca/a2rI/sVFi0KIn13odHJtUxNvJCTwkBws3yUpGLETp8XCFVlZJAUCfFpezoSWFqMjCWE6JzY3c1d9PdPj4rgtPT2q7hfrDCkY8SurHQ6m5uZSYbPxVHU1f6upIfkXD68SIlod1trK32trmR8Tw9UZGfilXHZLCkbs0hqHg1Nyc3k8JYWTm5uZXl7OEa2tRscSwlDD3W6eqqlhnd3OJVlZuKP0CpiOko+O2C2vUjyamsopubm4LBZerKrivtpaOSsjolJfr5cXqquptVi4MDubJimXvZKPkNirpTExnJCXx3+TkznH5WJaeTkHyS4zEUVyfT5erKrCD5yfnU1VFN8v1hlSMKJD3ErxQFoaZ+bkoIHXKyu5va6OGBnNiAiX4vfzYnU1KYEAF2Vns1GugOkwKRjRKQtiY5mcl8fLiYlc6nTycUUFw91uo2MJERKxgQDPVVdT4PVyaVYWyxwOoyOFFSkY0WktFgv/l5HB+dnZJAQCvFtRwR8bGrDLFTMigti05smaGkZ5PFybmckcefprp3W4YJRSVqXUIqXUx6EMJMLHt3FxTMrP5/2EBK5tbOT98nIGejxGxxJivymteai2lvFtbdyelsZn8fFGRwpLnRnBXAusDFUQEZ6aLBZuzMzk0qwssv1+Piov5/eNjVhkNCPCldbc3tDAaS0t/C0lhVe7+ZHmkaRDBaOU6glMAf4X2jgiXM2Ij2dCfj4z4uO5trGRXnLNjAhT8YEAR7W28nxiIv+Q+8X2S0cft/YYcDOw2ypXSl0GXAZgkf3hUaneauWqzEwKfT42yU4bEaZarNbg2S+l5AqY/bTXJlBKnQBUaa0X7unXaa2f0lqP0VqPUfKXEr2UokTKRYQ5p8WCltex/daRocahwElKqY3A68B4pdTLIU0lhBAi7O21YLTWt2mte2qtC4Czga+01ueFPJkQQoiwJoslQgghQqKji/wAaK1nAjNDkkQIIUREkRGMEEKIkJCCEUIIERJSMEIIIUJCCkYIIURISMEIIYQICSkYIYQQISEFI4QQIiSkYIQQQoSEFIwQQoiQkIIRQggRElIwQgghQkIKRgghREhIwQghhAgJKRghhBAhIQUjhBAiJKRghBBChIQUjBBCiJCQghFCCBESUjBCCCFCQgpGCCFESEjBCCGECAkpGCGEECEhBSOEECIkpGCEEEKEhBSMEEKIkJCCEUIIERJSMEIIIUJCCkYIIURISMEIIYQICSkYIYQQISEFI4QQIiSkYIQQQoSE0lp3/TtVqhrY1OXveP9lAjVGhwgj8vHqHPl4dY58vDrHrB+vPlrrrF39REgKxqyUUgu01mOMzhEu5OPVOfLx6hz5eHVOOH68ZIpMCCFESEjBCCGECIloK5injA4QZuTj1Tny8eoc+Xh1Tth9vKJqDUYIIUT3ibYRjBBCiG4iBSOEECIkoqJglFKTlFKrlVLrlFK3Gp3H7JRSzyqlqpRSy4zOYnZKqV5Kqa+VUiuUUsuVUtcancnslFKxSqkflFKL2z9mdxudyeyUUlal1CKl1MdGZ+mMiC8YpZQVeAKYDAwBzlFKDTE2lek9D0wyOkSY8AE3aK2HAOOAq+Tf1165gfFa6xHASGCSUmqcsZFM71pgpdEhOiviCwY4CFintd6gtfYArwMnG5zJ1LTWs4A6o3OEA611udb6x/b/dhJ8EehhbCpz00Gu9u/a299kt9FuKKV6AlOA/xmdpbOioWB6AFt2+H4p8gIgQkApVQCMAuYZHMX02qd8fgKqgBlaa/mY7d5jwM1AwOAcnRYNBSNEyCmlEoF3gOu01k1G5zE7rbVfaz0S6AkcpJQaZnAkU1JKnQBUaa0XGp1lX0RDwZQBvXb4fs/2HxOiSyil7ATL5RWt9btG5wknWusG4GtkzW93DgVOUkptJDi9P14p9bKxkTouGgpmPtBfKVWolHIAZwMfGpxJRAillAKeAVZqrf9udJ5woJTKUkqltv93HHAcsMrQUCaltb5Na91Ta11A8LXrK631eQbH6rCILxittQ/4AzCd4ALsm1rr5camMjel1GvAHGCgUqpUKfU7ozOZ2KHA+QS/svyp/e14o0OZXB7wtVJqCcEvAGdorcNq+63oGLkqRgghREhE/AhGCCGEMaRghBBChIQUjBBCiJCQghFCCBESUjBCCCFCQgpGCCFESEjBCCGECIn/B3pPmVDWpM5rAAAAAElFTkSuQmCC " > </div> @@ -14875,7 +15113,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [15]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [19]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_3</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -14955,7 +15193,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [16]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [20]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_4</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15035,7 +15273,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [17]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [21]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_5</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15115,7 +15353,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [18]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [22]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_6</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15195,7 +15433,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [19]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [23]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_7</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15275,7 +15513,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [20]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [24]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_8</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15355,7 +15593,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [21]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [25]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_9</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15435,7 +15673,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [22]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [26]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_10</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15516,10 +15754,10 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [23]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [27]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_x</span><span class="p">)</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_x</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_x</span><span class="p">))</span> <span class="nb">print</span><span class="p">(</span><span class="n">FWHM_x</span><span class="p">)</span> <span class="n">stdx</span> <span class="o">=</span> <span class="n">FWHM_x</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> <span class="nb">print</span><span class="p">(</span><span class="n">stdx</span><span class="p">)</span> @@ -15551,11 +15789,11 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> -<pre>[2.16735397 2.54663532 5.98601925 1.70412489 2.66017748 2.50988123 +<pre>[2.16735397 2.56194289 5.98601925 1.70412489 2.66017748 2.50988123 4.23516813 3.04640581 2.161933 2.35194783] -1.2025192371430922 -2.936964690381042 -2.5282582730707905 +1.2020310334918178 +2.9384954478212486 +2.5359120602718237 </pre> </div> </div> @@ -15569,7 +15807,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-RenderedImage jp-OutputArea-output "> -<img 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XFExbGYmVkd3Z4RSBogaeLSLDyShXlwYH65c3ozsz6k20QQEW8Cb0laY2lWkBPJFOAF4KaIuLPOZPtIul/SFZJGLc16zMxs6ZStGloIPCDpJuDlrsKIOLK7GXMi2ULSmsDVkjaLiAcLk/wGuCQiXpN0KHA+sFPtciSNA8YBjB49umTYZmbWnbKJ4Kr8WmoRMTdXMX0SeLBQPrsw2dnADxrMPx4YDzB27FhXL5mZ9ZJSiSAizpe0ErBRLno0It7obj5Jw4E3chIYBOwCnFwzzdoRMTMP7glMLR29mZkts1KJQNKOpCqb6YCAUZK+EBG3dDPr2sD5kgaQrkdcHhHXSjoJmBQRE4AjJe0JLALmAActxXaYmdlSKls1dArw8Yh4FEDSRsAlwAebzRQR9wNb1ik/ofD+OOC4sgGbmVnvKvtA2cCuJAAQEY+RbgU1M7N+ruwZwSRJZwMX5eHPAZOqCcnMzFqpbCI4DDgc6Lpd9Fbgp5VEZGZmLVX2rqHXgFPzy8zMliNNE4GkB2jSJEREbN7rEZmZWUt1d0awe0uiMDOztmmaCCLiqVYFYmZm7VHq9lFJ20q6W9JCSa9LelPS/KqDMzOz6pV9juAMYH/gcWAQcAjwk6qCMjOz1indQ1lETAMGRMSbEXEuqfE4MzPr58o+R/BKbnRuiqQfADNxf8dmZsuFsgfzA/O0R5D6IxgF7FNVUGZm1jplzwg+CFwXEfOBJTqgNzOz/qvsGcEewGOSLpS0u6SqO703M7MWKZUIIuKLwAbAr0h3D/01N0JnZmb9XOlf9hHxhqQbSE1ODAL2Jt1GamZm/VjZB8o+Jek80nME+5D6Fn5vhXGZmVmLlD0j+DxwGXBobom0FEmrALcAK+d1XRER366ZZmXgAtIF6dnAZyNietl1mJnZsinbDPX+S7n814CdImKhpIHAbZJuiIg7CtMcDLwUERtI2o/Uuf1nl3J9ZmbWQ5U+FBbJwjw4ML9qm7XeCzg/v78C2FmSqozLzMwWq/zpYEkDJE0BXgBuiog7ayYZAcwAiIhFwDxgaJ3ljJM0SdKkWbNmVRy1mVnnKJ0IJA2StHFPV5DbJtoCGAlsLWmzni4jL2d8RIyNiLHDhw9fmkWYmVkdZe8a2gOYAvw2D28haUJPVhQRc4GJLNlY3TOkJivID6qtQbpobGZmLVD2jOBEYGtgLkBETAHW624mScMlrZnfDwJ2AR6pmWwC8IX8fl/gjxHRsHtMMzPrXWVvH30jIubVXMMtc7BeGzhf0gBS0rk8Iq6VdBIwKSImAOcAF0qaBswB9isfvpmZLauyieAhSf8KDJC0IXAk8OfuZoqI+4Et65SfUHj/d+DTJeMwM7NeVrZq6CvApqTnAi4B5gNHVRSTmZm1UNkHyl4Bvgl8M1fzDM6/5M3MrJ8re9fQLyWtLmkw8ADwsKT/rDY0MzNrhbJVQ5vkTmn2Bm4g3TF0YFVBmZlZ65RNBANzW0F7AxMi4g3K3TVkZmZ9XNlE8DNgOjAYuEXSuqQLxmZm1s+VvVh8OnB6oegpSR+tJiQzM2ulsheL15J0Tu6hDEmbsPhpYDMz68fKVg2dB9wIrJOHH8PPEZiZLRfKJoJhEXE58Ba83Vz0m5VFZWZmLVM2EbwsaSj5TiFJ25L6DTAzs36ubFtDR5NaCV1f0u3AcFJLoWZm1s+VvWvoHkk7ABsDAh7NzxKYmVk/V/aMoOu6wEMVxmJmZm1QeZ/FZmbWtzkRmJl1uNJVQ5JGAOsW54mIW6oIyszMWqdUIpB0MvBZ4GEWPz8QQMNEIGkUcAGwVp52fET8uGaaHYFfA0/moqsi4qTy4ZuZ2bIqe0awN7BxRLzWg2UvAo7JdxwNASZLuikiHq6Z7taI2L0HyzUzs15U9hrBE8DAniw4ImZGxD35/QJgKjCiZ+GZmVnVyp4RvAJMkfQHUr/FAETEkWVmljSG1In9nXVGf0jSfcCzwNciou4tqpLGAeMARo8eXTJsMzPrTtlEMCG/ekzSasCVwFG5l7Oie4B1I2KhpF2Ba4AN6y0nIsYD4wHGjh3rTnHMzHpJ2SeLz5e0ErBRLir1ZHHu1exK4OKIuKrOcucX3l8v6aeShkXEi+XCNzOzZVX2rqEdgfNJvZQJGCXpC81uH5Uk4BxgakSc2mCa9wLPR0RI2pp0zWJ2TzbAzMyWTdmqoVOAj0fEowCSNgIuAT7YZJ7tSB3cPyBpSi47HhgNEBFnkRquO0zSIuBVYL+IcLWPmVkLlU0EA7uSAEBEPJarfRqKiNtIZw/NpjkDOKNkDGZmVoGyiWCSpLOBi/Lw54BJ1YRkZmatVDYRHAYcDnTdLnor8NNKIjIzs5YqmwhWBH7cddFX0gBg5cqiMjOzlin7ZPEfgEGF4UHA73s/HDMza7WyiWCViFjYNZDfr1pNSGZm1ko96bx+q64BSR8k3e5pZmb9XNlrBEcBv5L0LOmW0PeSmqU2M7N+rmwTE3dLej+p83pw5/VmZsuNnnRe/wbwYIWxmJlZG7jPYjOzDudEYGbW4UolAknbSRqc3x8g6VRJ61YbmpmZtULZM4IzgVckfQA4BvgrqWN6MzPr58omgkW5eei9gDMi4ifAkOrCMjOzVil719ACSceR+hf4iKQV6GFn9mZm1jeVPSP4LKnT+i9FxHPASOCHlUVlZmYtUyoR5IP/lSxucfRF4OqqgjIzs9Ype9fQvwFXAD/LRSOAa0rMN0rSREkPS3pI0lfrTCNJp0uaJun+YptGZmZWvbJVQ4eT+iCeDxARjwPvKTHfIuCYiNgE2BY4XNImNdN8Ctgwv8aR7lAyM7MWKZsIXouI17sGJK0IdNvJfETMjIh78vsFwFTS2UTRXsAFkdwBrClp7ZJxmZnZMip719CfJB0PDJK0C/DvwG96siJJY4AtgTtrRo0AZhSGn85lM2vmH0c6Y2D06NE9WXXHG3PsdW1Z7/Tv79aW9ZpZz5Q9IzgWmAU8ABwKXA98q+xKJK1Guth8VETM72mQABExPiLGRsTY4cOHL80izMysjrLNUL8F/Dy/ekTSQFISuDgirqozyTPAqMLwyFxmZmYt0JO2hm6S9JikJyQ9KemJEvMJOAeY2tXxfR0TgM/nu4e2BeZFxMwG05qZWS8re43gHOA/gMnAmz1Y/nakp5EfkDQllx0PjAaIiLNI1Uy7AtOAV4Av9mD5Zma2jMomgnkRcUNPFx4Rt5G6tmw2TZBuTzUzszYomwgmSvohcBWpqQkAum4NNTOz/qtsItgm/x1bKAtgp94Nx8zMWq3sXUMfrToQMzNrj7J3Da0l6RxJN+ThTSQdXG1oZmbWCg0TQe6S8r158DzgRmCdPPwYcFSlkZmZWUs0OyP4A9B17/+wiLgceAsgIhbRs9tIzcysj2qYCPJDXYflwZclDSU3NNf14Ff14ZmZWdWaXiyOiK6D/dGkJ4DXl3Q7MBzYt+LYzMysBcreNXSPpB2AjUkPiD0aEW9UGpmZmbVEqUQg6V9qijaSNA94ICJe6P2wzMysVco+UHYw8CFgYh7ekdTu0HqSToqICyuIzczMWqBsIlgR+IeIeB7ScwXABaQnjm8BnAjMzPqpsh3TjOpKAtkLuWwO4GsFZmb9WNkzgpslXQv8Kg/vk8sGA3OrCMzMzFqjbCI4nHTw3y4PXwBcmZuQdjtEZmb9WNnbRwO4Ir/MzGw5UrbRuW0l3S1poaTXJb0paak6oTczs76l7MXiM4D9gceBQcAhwE+6m0nSLyS9IOnBBuN3lDRP0pT8OqFs4GZm1jvKJgIiYhowICLejIhzgU+WmO28EtPdGhFb5NdJZeMxM7PeUfZi8SuSVgKmSPoBMJMSSSQibpE0ZhniMzOzipU9IzgQGAAcAbwMjCLdRdQbPiTpPkk3SNq00USSxkmaJGnSrFmzemnVZmZW9q6hp/LbV4Hv9OL67wHWjYiFknYFrgE2bBDDeGA8wNixY6MXYzAz62hl7xraXdK9kuZImi9pQW/cNRQR8yNiYX5/PTBQ0rBlXa6ZmZVX9hrBj4B/IbU22mu/xnNXmM9HREjampSYZvfW8s3MrHtlE8EM4MGeJgFJl5BaKh0m6Wng28BAgIg4i9S5zWGSFpGqnfbrzURjZmbdK5sIvg5cL+lPwGtdhRFxauNZICL272b8GaRnFMzMrE3KJoLvAguBVYCVqgvHzMxarWwiWCciNqs0EjMza4uyzxFcL+njlUZiZmZtUTYRHAb8VtKrvXn7qJmZtV/ZB8qGVB2ImZm1R9NEIOn9EfGIpK3qjY+Ie6oJy8zMWqW7M4KjgXHAKXXGBbBTr0dkZmYt1TQRRMS4/NfdUZqZLadK90dgZmbLJycCM7MO50RgZtbhyjZDLUkHdPUpLGl0bi3UzMz6ubJnBD8FPkTqwB5gASU6rzczs76vbFtD20TEVpLuBYiIl3IfxmZm1s+VPSN4Q9IA0rMDSBoOvFVZVGZm1jJlE8HpwNXAeyR9F7gN+F5lUZmZWcuUbWvoYkmTgZ0BAXtHxNRKIzMzs5ZoekYg6d1dL+AF4BLgl8DzuawpSb+Q9IKkBxuMl6TTJU2TdH+jNo3MzKw63Z0RTCZdFxAwGngpv18T+BuwXjfzn0fqivKCBuM/BWyYX9sAZ+a/ZmbWIk3PCCJivYh4H/B7YI+IGBYRQ4Hdgd91t/CIuAWY02SSvYALIrkDWFPS2uXDNzOzZVX29tFtI+LfugYi4gZJP+iF9Y8AZhSGn85lM2snlDSO1BIqo0ePXuoVjjn2uqWe13qmnft6+vd3a8t6O3GbO1G7PueqPuOydw09K+lbksbk1zeBZyuJqIGIGB8RYyNi7PDhw1u5ajOz5VrZRLA/MJx0C+lV+f3+Teco5xlgVGF4ZC4zM7MWKXv76BzgqxWsfwJwhKRLSReJ50XEEtVCZmZWnbLXCJaKpEuAHYFhkp4Gvg0MBIiIs4DrgV2BacArwBerjMfMzJZUaSKIiKbVRxERwOFVxmBmZs25PwIzsw5Xtj+CkZKuljQrPyl8paSRVQdnZmbVK3tGcC7pwu7awDrAb3KZmZn1c2UTwfCIODciFuXXeaRbSM3MrJ8rmwhm564qB+TXAcDsKgMzM7PWKJsIvgR8BniO1PzDvvhWTzOz5ULZB8qeAvasOBYzM2uDpolA0glNRkdE/Fcvx2NmZi3W3RnBy3XKBgMHA0MBJwIzs36uaSKIiFO63ksaQmpv6IvApcApjeYzM7P+o9trBLlLyqOBzwHnA1tFxEtVB2ZmZq3R3TWCHwL/AowH/jEiFrYkKjMza5nubh89hvQk8bdIndPMz68FkuZXH56ZmVWtu2sEbpTOzGw55wO9mVmHcyIwM+twTgRmZh2u0kQg6ZOSHpU0TdKxdcYflPs4mJJfh1QZj5mZLamyriolDQB+AuwCPA3cLWlCRDxcM+llEXFEVXGYmVlzVZ4RbA1Mi4gnIuJ10tPIe1W4PjMzWwpVJoIRwIzC8NO5rNY+ku6XdIWkUY0WJmmcpEmSJs2aNau3YzUz61jtvlj8G2BMRGwO3ERqwqKuiBgfEWMjYuzw4e4czcyst1SZCJ4Bir/wR+ayt0XE7Ih4LQ+eDXywwnjMzKyOKhPB3cCGktaTtBKwHzChOIGktQuDewJTK4zHzMzqqOyuoYhYJOkI4EZgAPCLiHhI0knApIiYABwpaU9gETAHOKiqeMzMrL7KEgFARFwPXF9TdkLh/XHAcVXGYGZmzbX7YrGZmbWZE4GZWYdzIjAz63BOBGZmHc6JwMyswzkRmJl1OCcCM7MO50RgZtbhnAjMzDqcE4GZWYdzIjAz63BOBGZmHc6JwMyswzkRmJl1OCcCM7MO50RgZtbhnAjMzDpc5YlA0iclPSppmqRj64xfWdJlefydksZUHZOZmS1WaSKQNAD4CfApYBNgf0mb1Ex2MPBSRGwAnAacXGVMZmb2TlWfEWwNTIuIJyLideBSYK+aafYCzs/vrwB2lqSK4zIzs6zSzuuBEcCMwvDTwDaNpomIRZLmAUOBF4sTSRoHjMuDCyU9WknES2cYNfHa29qyb9Q/zit7dd/0k20uy/9TdeTPeFn2zbr1CqtOBL0mIsYD49sdRz2SJkXE2HbH0Rd53zTmfdOY901jVeybqquGngFGFYZH5rK600haEVgDmF1xXGZmllWdCO4GNpS0nqSVgP2ACTXTTAC+kN/vC/wxIqLiuMzMLKu0aijX+R8B3AgMAH4REQ9JOgmYFBETgHOACyVNA+aQkkV/0yerrPoI75vGvG8a875prNf3jfzj28yss/nJYjOzDudEYGbW4ZwIloGkUZImSnpY0kOSvtrumPoKSatIukvSfXnffKfdMfUlkgZIulfSte2Opa+RNF3SA5KmSJrU7nj6EklrSrpC0iOSpkr6UG8st988R9BHLQKOiYh7JA0BJku6KSIebndgfcBrwE4RsVDSQOA2STdExB3tDqyP+CowFVi93YH0UR+NCD9QtqQfA7+NiH3znZir9sZCfUawDCJiZkTck98vIP1jj2hvVH1DJAvz4MD88p0JgKSRwG7A2e2OxfoPSWsA25PutCQiXo+Iub2xbCeCXpJbTd0SuLPNofQZufpjCvACcFNEeN8kPwK+DrzV5jj6qgB+J2lyblrGkvWAWcC5uVrxbEmDe2PBTgS9QNJqwJXAURExv93x9BUR8WZEbEF6onxrSZu1OaS2k7Q78EJETG53LH3YhyNiK1KrxYdL2r7dAfURKwJbAWdGxJbAy8ASTfsvDSeCZZTrv68ELo6Iq9odT1+UT18nAp9scyh9wXbAnpKmk1rj3UnSRe0NqW+JiGfy3xeAq0mtGFtqtPPpwpn1FaTEsMycCJZBbi77HGBqRJza7nj6EknDJa2Z3w8CdgEeaWtQfUBEHBcRIyNiDOkp+j9GxAFtDqvPkDQ433hBrvb4OPBge6PqGyLiOWCGpI1z0c5Ar9yY4ruGls12wIHAA7kuHOD4iLi+fSH1GWsD5+fOiVYALo8I3ypp3VkLuDp3SbIi8MuI+G17Q+pTvgJcnO8YegL4Ym8s1E1MmJl1OFcNmZl1OCcCM7MO50RgZtbhnAjMzDqcE4GZWYdzIrDlUm4V9hM1ZUdJOrPJPDdLWupOwSWdJ+nJ3GrmFElH5vLpkoYVpttR0rVKXpT0rly+tqSQ9OHCtLMkDZV0Yh63Qc32xLLEbAZOBLb8uoQluz3dL5f3ivyMRK3/jIgt8uv0ZvPnvrnvALqaEv5n4N78l/zg0OyImJ3HP8A7t+nTwEPLsAlmgBOBLb+uAHbLD950NQq4DnCrpDMlTWrWT4Kk/XOb+A9KOrlQvlDSKZLuY/EBfFn8mXzgz39P452J4fbCtNcAe+U41gfmAW6q2ZaZE4EtlyJiDnAXqeEySL+kL8+/wr8ZEWOBzYEdJG1enFfSOsDJwE7AFsA/Sdo7jx4M3BkRH4iI2+qs+oeFqqF/LJRP7Crnnc1P387iRLA1qW2dUXn4n0mJost8UhMDm+Xtuaz7PWHWPScCW54Vq4eK1UKfkXQPqRpmU2CTmvn+Cbg5ImZFxCLgYlI78ABvkhoZbKRYNfRAofyjXeXAIYXyu4Etc7s6A3MfDk/kawG1ZwSQGqrbD9iblDTMlpkTgS3Pfg3sLGkrYNWImCxpPeBrwM4RsTlwHbBKD5b594h4s7cCjIhXgMeBLwH35OI7gF2B9wCP1sxyLal9q7+5yXPrLU4EttzKv64nAr9g8dnA6qR23OdJWovFVUdFd5GqjIblC8L7A3+qMNQ/A0cBf8nDfyF1ZXlH1DQGlhPHN4DvVhiPdRgnAlveXQJ8IP8lIu4jVQk9AvySJateiIiZpA4/JgL3AZMj4tcVxng78D4WJ4J7SJ35/LnexBFxaVcXqWa9wa2Pmpl1OJ8RmJl1OCcCM7MO50RgZtbhnAjMzDqcE4GZWYdzIjAz63BOBGZmHe7/AyYBIwpFvSlcAAAAAElFTkSuQmCC " > </div> @@ -15583,10 +15821,10 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [24]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [28]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_y</span><span class="p">)</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_y</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_y</span><span class="p">))</span> <span class="nb">print</span><span class="p">(</span><span class="n">FWHM_y</span><span class="p">)</span> <span class="n">stdy</span> <span class="o">=</span> <span class="n">FWHM_y</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> <span class="nb">print</span><span class="p">(</span><span class="n">stdy</span><span class="p">)</span> @@ -15618,11 +15856,11 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> -<pre>[2.37950509 2.36817223 5.74471173 2.24643126 3.07476263 2.03828481 +<pre>[2.37950509 2.39373303 5.74471173 2.24643126 3.07476263 2.03828481 4.78060292 2.29083287 2.9600544 2.6776296 ] -1.1646255434323523 -3.056098753225378 -2.528567342321698 +1.1631400032813368 +3.0586548336966284 +2.5356813151856628 </pre> </div> </div> @@ -15657,7 +15895,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [25]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [29]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xr</span> <span class="o">=</span> <span class="p">[]</span> @@ -15677,7 +15915,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [26]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [30]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_1r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15757,7 +15995,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [27]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [31]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_2r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15837,7 +16075,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [28]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [32]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_3r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15917,7 +16155,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [29]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [33]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_4r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -15997,7 +16235,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [30]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [34]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_5r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -16077,7 +16315,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [31]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [35]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_6r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -16157,7 +16395,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [32]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [36]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_7r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -16237,7 +16475,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [33]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [37]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_8r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -16317,7 +16555,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [34]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [38]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_9r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -16397,7 +16635,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [35]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [39]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_10r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -16478,10 +16716,10 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [36]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [40]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_xr</span><span class="p">)</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xr</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_xr</span><span class="p">))</span> <span class="nb">print</span><span class="p">(</span><span class="n">FWHM_xr</span><span class="p">)</span> <span class="n">stdxr</span> <span class="o">=</span> <span class="n">FWHM_xr</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> <span class="nb">print</span><span class="p">(</span><span class="n">stdxr</span><span class="p">)</span> @@ -16545,7 +16783,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [37]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [41]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_yr</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_yr</span><span class="p">))</span> @@ -16619,7 +16857,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [38]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [42]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xg</span> <span class="o">=</span> <span class="p">[]</span> @@ -16639,7 +16877,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [39]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [43]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_1g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -16719,7 +16957,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [40]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [44]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_2g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -16799,7 +17037,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [41]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [45]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_3g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -16879,7 +17117,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [42]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [46]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_4g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -16959,7 +17197,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [43]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [47]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_5g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -17039,7 +17277,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [44]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [48]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_6g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -17119,7 +17357,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [45]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [49]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_7g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -17199,7 +17437,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [46]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [50]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_8g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -17279,7 +17517,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [47]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [51]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_9g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -17359,7 +17597,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [48]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [52]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_10g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -17440,10 +17678,10 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [49]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [53]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xg</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_xg</span><span class="p">)</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xg</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_xg</span><span class="p">))</span> <span class="nb">print</span><span class="p">(</span><span class="n">FWHM_xg</span><span class="p">)</span> <span class="n">stdxg</span> <span class="o">=</span> <span class="n">FWHM_xg</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> <span class="nb">print</span><span class="p">(</span><span class="n">stdxr</span><span class="p">)</span> @@ -17452,7 +17690,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <span class="n">medianxg</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_xg</span><span class="p">)</span> <span class="nb">print</span><span class="p">(</span><span class="n">medianxg</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_xg</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> -<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección x para la image verde'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección x para la imagen verde'</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Valor FHWM'</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'No de imagénes con ese valor'</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> @@ -17493,7 +17731,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-RenderedImage jp-OutputArea-output "> -<img src="data:image/png;base64,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 " > </div> @@ -17507,7 +17745,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [50]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [54]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_yg</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_yg</span><span class="p">))</span> @@ -17519,7 +17757,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <span class="n">medianyg</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_yg</span><span class="p">)</span> <span class="nb">print</span><span class="p">(</span><span class="n">medianyg</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_yg</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> -<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección y para la image roja'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección y para la imagen verde'</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Valor FHWM'</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'No de imagénes con ese valor'</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> @@ -17560,7 +17798,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-RenderedImage jp-OutputArea-output "> -<img 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 " > </div> @@ -17581,7 +17819,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [51]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [55]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xb</span> <span class="o">=</span> <span class="p">[]</span> @@ -17601,7 +17839,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [52]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [56]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_1b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -17681,7 +17919,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [53]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [57]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_2b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -17761,7 +17999,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [54]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [58]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_3b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -17841,7 +18079,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [55]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [59]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_4b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -17921,7 +18159,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [56]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [60]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_5b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -18001,7 +18239,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [57]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [61]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_6b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -18081,7 +18319,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [58]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [62]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_7b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -18161,7 +18399,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [59]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [63]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_8b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -18241,7 +18479,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [60]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [64]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_9b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -18321,7 +18559,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [61]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [65]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_10b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> @@ -18402,10 +18640,10 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [62]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [66]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> -<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xb</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_xb</span><span class="p">)</span> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xb</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_xb</span><span class="p">))</span> <span class="nb">print</span><span class="p">(</span><span class="n">FWHM_xb</span><span class="p">)</span> <span class="n">stdxb</span> <span class="o">=</span> <span class="n">FWHM_xb</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> <span class="nb">print</span><span class="p">(</span><span class="n">stdxb</span><span class="p">)</span> @@ -18469,7 +18707,7 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [63]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [67]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_yb</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_yb</span><span class="p">))</span> @@ -18536,12 +18774,13 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div> <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> -<h3 id="Comparemos-los-cuatro-valores">Comparemos los cuatro valores<a class="anchor-link" href="#Comparemos-los-cuatro-valores">¶</a></h3> +<h3 id="Comparemos-los-cuatro-valores">Comparemos los cuatro valores<a class="anchor-link" href="#Comparemos-los-cuatro-valores">¶</a></h3><p>En dirección x</p> + </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [64]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [68]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">stdx</span><span class="p">,</span><span class="n">stdxr</span><span class="p">,</span><span class="n">stdxg</span><span class="p">,</span><span class="n">stdxb</span><span class="p">)</span> @@ -18566,9 +18805,9 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> -<pre>1.2025192371430922 1.1372820062135576 1.1920847689204435 1.3018950466931847 -2.936964690381042 2.8341979943625044 2.824878448558046 2.9826105946190706 -2.5282582730707905 2.463149381278507 2.4248660798025896 2.517525641845777 +<pre>1.2020310334918178 1.1372820062135576 1.1920847689204435 1.3018950466931847 +2.9384954478212486 2.8341979943625044 2.824878448558046 2.9826105946190706 +2.5359120602718237 2.463149381278507 2.4248660798025896 2.517525641845777 </pre> </div> </div> @@ -18577,10 +18816,16 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div> +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<p>En dirección y</p> + +</div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> <div class="jp-Cell-inputWrapper"> <div class="jp-InputArea jp-Cell-inputArea"> -<div class="jp-InputPrompt jp-InputArea-prompt">In [65]:</div> +<div class="jp-InputPrompt jp-InputArea-prompt">In [69]:</div> <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">stdy</span><span class="p">,</span><span class="n">stdyr</span><span class="p">,</span><span class="n">stdyg</span><span class="p">,</span><span class="n">stdyb</span><span class="p">)</span> @@ -18605,9 +18850,9 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e <div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> -<pre>1.1646255434323523 1.0760536200525121 1.124040162412368 1.2195655968098804 -3.056098753225378 3.1061821513502625 3.0993105893913597 3.1088833661340964 -2.528567342321698 2.816983594395095 2.7883844225138326 2.607229344995009 +<pre>1.1631400032813368 1.0760536200525121 1.124040162412368 1.2195655968098804 +3.0586548336966284 3.1061821513502625 3.0993105893913597 3.1088833661340964 +2.5356813151856628 2.816983594395095 2.7883844225138326 2.607229344995009 </pre> </div> </div> @@ -18630,9 +18875,4296 @@ El objetivo de esta tarea es medir de forma aproximada la resolución espacial e </div> <div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> -<p>Para la escala de grises y cada uno de los canales, en algunas estrellas, y para cada canal, debà cambiar el punto inicial p0 para que la gaussiana fuera mas apropiada. También, elegà los valores de p0 de tal manera que los valores de sigma_x y sigma_y fueran siempre positivos.</p> +<p>Para la escala de grises y para los canales, debà cambiar el punto inicial p0 para que la gaussiana fuera mas apropiada, e.g. para la Estrella n, debà usar cuatro valores de p0, uno para cada canal y para la gris. También elegà los valores de p0 de tal manera que los valores de sigma_x y sigma_y fueran siempre positivos.</p> <p>El valor para el FWHM si cambia dependiendo del canal del que se parta para hacer el ajuste. Mirando los valores de la desviación estándar, el promedio y la mediana se ve que hay diferencias, sin embargo, los valores podrian considerarse como iguales para los cuatro casos. Igual teniendo en cuenta que el valor inicial p0 para cada estrella debio ser modificado para cada canal.</p> +</div> +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h1 id="Ahora,-incluyendo-las-incertidumbres">Ahora, incluyendo las incertidumbres<a class="anchor-link" href="#Ahora,-incluyendo-las-incertidumbres">¶</a></h1> +</div> +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h2 id="Escala-de-grises">Escala de grises<a class="anchor-link" href="#Escala-de-grises">¶</a></h2> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [70]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- listas para guardar los valore del Full Width at Half Maximum</span> +<span class="n">FWHM_xi</span> <span class="o">=</span> <span class="p">[]</span> +<span class="n">FWHM_yi</span> <span class="o">=</span> <span class="p">[]</span> +</pre></div> + + </div> +</div> +</div> +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-1">Estrella 1<a class="anchor-link" href="#Estrella-1">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [71]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_1</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_1</span> <span class="o">=</span> <span class="n">str_1</span><span class="p">[</span><span class="mi">283</span><span class="p">:</span><span class="mi">288</span><span class="p">,</span><span class="mi">890</span><span class="p">:</span><span class="mi">895</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_1</span><span class="p">,</span> <span class="n">cmap</span> <span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">71</span><span class="p">,</span> <span class="mf">1.2</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_1</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xi</span><span class="p">,</span><span class="n">FWHM_yi</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="n">str_1</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-2">Estrella 2<a class="anchor-link" href="#Estrella-2">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [72]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_2</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_2</span> <span class="o">=</span> <span class="n">str_2</span><span class="p">[</span><span class="mi">252</span><span class="p">:</span><span class="mi">257</span><span class="p">,</span><span class="mi">949</span><span class="p">:</span><span class="mi">954</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_2</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">57</span><span class="p">,</span> <span class="mf">1.3</span><span class="p">,</span> <span class="mf">2.5</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> + +<span class="c1">#p0 = [60, 30.4, 11, 0.01, 1, 0, 0]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_2</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xi</span><span class="p">,</span><span class="n">FWHM_yi</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="n">str_2</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-3">Estrella 3<a class="anchor-link" href="#Estrella-3">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [73]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_3</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_3</span> <span class="o">=</span> <span class="n">str_3</span><span class="p">[</span><span class="mi">309</span><span class="p">:</span><span class="mi">324</span><span class="p">,</span><span class="mi">619</span><span class="p">:</span><span class="mi">636</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_3</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">70</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_3</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xi</span><span class="p">,</span><span class="n">FWHM_yi</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="n">str_3</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-4">Estrella 4<a class="anchor-link" href="#Estrella-4">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [74]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_4</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_4</span> <span class="o">=</span> <span class="n">str_4</span><span class="p">[</span><span class="mi">18</span><span class="p">:</span><span class="mi">23</span><span class="p">,</span><span class="mi">607</span><span class="p">:</span><span class="mi">612</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_4</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">11</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.9</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_4</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xi</span><span class="p">,</span><span class="n">FWHM_yi</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="n">str_4</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-5">Estrella 5<a class="anchor-link" href="#Estrella-5">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [75]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_5</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_5</span> <span class="o">=</span> <span class="n">str_5</span><span class="p">[</span><span class="mi">347</span><span class="p">:</span><span class="mi">356</span><span class="p">,</span><span class="mi">542</span><span class="p">:</span><span class="mi">552</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_5</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">12</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_5</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xi</span><span class="p">,</span><span class="n">FWHM_yi</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="n">str_5</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-6">Estrella 6<a class="anchor-link" href="#Estrella-6">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [76]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_6</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_6</span> <span class="o">=</span> <span class="n">str_6</span><span class="p">[</span><span class="mi">295</span><span class="p">:</span><span class="mi">300</span><span class="p">,</span><span class="mi">307</span><span class="p">:</span><span class="mi">312</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_6</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">70</span><span class="p">,</span> <span class="mf">2.3</span><span class="p">,</span> <span class="mf">5.9</span><span class="p">,</span> <span class="mf">0.78</span><span class="p">,</span> <span class="mf">1.7</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_6</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xi</span><span class="p">,</span><span class="n">FWHM_yi</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="n">str_6</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-7">Estrella 7<a class="anchor-link" href="#Estrella-7">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [77]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_7</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_7</span> <span class="o">=</span> <span class="n">str_7</span><span class="p">[</span><span class="mi">142</span><span class="p">:</span><span class="mi">154</span><span class="p">,</span><span class="mi">387</span><span class="p">:</span><span class="mi">399</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_7</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_7</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xi</span><span class="p">,</span><span class="n">FWHM_yi</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="n">str_7</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-8">Estrella 8<a class="anchor-link" href="#Estrella-8">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [78]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_8</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_8</span> <span class="o">=</span> <span class="n">str_8</span><span class="p">[</span><span class="mi">459</span><span class="p">:</span><span class="mi">465</span><span class="p">,</span><span class="mi">322</span><span class="p">:</span><span class="mi">327</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_8</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mf">3.43</span><span class="p">,</span> <span class="mf">6.5</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_8</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xi</span><span class="p">,</span><span class="n">FWHM_yi</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="n">str_8</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-9">Estrella 9<a class="anchor-link" href="#Estrella-9">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [79]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_9</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_9</span> <span class="o">=</span> <span class="n">str_9</span><span class="p">[</span><span class="mi">277</span><span class="p">:</span><span class="mi">284</span><span class="p">,</span><span class="mi">1071</span><span class="p">:</span><span class="mi">1076</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_9</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_9</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xi</span><span class="p">,</span><span class="n">FWHM_yi</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="n">str_9</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-10">Estrella 10<a class="anchor-link" href="#Estrella-10">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [80]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_10</span> <span class="o">=</span> <span class="n">gr_img</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_10</span> <span class="o">=</span> <span class="n">str_10</span><span class="p">[</span><span class="mi">43</span><span class="p">:</span><span class="mi">49</span><span class="p">,</span><span class="mi">883</span><span class="p">:</span><span class="mi">889</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_10</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gist_gray'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">43</span><span class="p">,</span> <span class="mf">3.4</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_10</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xi</span><span class="p">,</span><span class="n">FWHM_yi</span><span class="p">,</span><span class="n">incer</span><span class="o">=</span><span class="n">str_10</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h2 id="Los-valores-para-el-Full-Width-at-Half-Maximum-(FHWM)">Los valores para el Full Width at Half Maximum (FHWM)<a class="anchor-link" href="#Los-valores-para-el-Full-Width-at-Half-Maximum-(FHWM)">¶</a></h2><p>Considere el valor en dirección x & en dirección y. Saque la desviación estándar, el promedio, la mediana y el histograma</p> + +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [81]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xi</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_xi</span><span class="p">))</span> +<span class="nb">print</span><span class="p">(</span><span class="n">FWHM_xi</span><span class="p">)</span> +<span class="n">stdxi</span> <span class="o">=</span> <span class="n">FWHM_xi</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">stdxi</span><span class="p">)</span> +<span class="n">meanxi</span> <span class="o">=</span> <span class="n">FWHM_xi</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">meanxi</span><span class="p">)</span> +<span class="n">medianxi</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_xi</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">medianxi</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_xi</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección x para escala de grises considerando incertidumbre'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Valor FHWM'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'No de imagénes con ese valor'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> +<pre>[2.08205473 2.51426496 6.04578332 1.73007771 2.65743574 2.01051951 + 4.34098536 2.32367671 2.93761278 2.52380595] +1.2442375593713781 +2.916621675050629 +2.519035453328353 +</pre> +</div> +</div> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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M3sZxExsSfrsrgi4gHSju/xiJidy14l7ZBXoUXSieSvEfFMD5YxiXRAdSrpmvs00vW33rqKdFnkAVKz1H9o37x1CKmp6XHStamzerqg/CXfjXSN+iHSkf4ZpMsJACeTvkB/Ju3UziRde5xHOjj6SF7uP0kHU43zv5+UpH+S5/0R4CMR8VJPY4TXfupyPnBSRNweEf8ktVCdp3R228wtpG3uKeA7wJ4R8XSO/dC8Xs+Svgttf6VBuoY+OM/rZtLn01QP6nQX4G5J84Efka55vhAR/yY1xR9Bum9hKulmJ0jXkU+QNI90g1HTSxtLsG6/JG1vtwNTSAeQRZ8lHUjck+d3Ka2bIU8gNWs+RPqeX0ra+fVUq3qZQboX5xjSd3oGKcktl/++TDqreoa08256EkPrbflp0ud1BOmGqiNJz5N4qgcxr5nXcy7pZrnrSE3+jfqyniHd+7AV6eTpiibzaykiriRtz9eQ9lnXNIyyuPv8nmq3L/kAsBfpc3ychTfRtnImsLFS8/jvmgw/nrTvfCgvr/EzOYy0L5pNupTQbB6L4/eky0zPkk5IPhYRLzcbsZvtuSUteqnSzIqUfup2UES8u+xYOpWkg0mJu7dnUWYdz8/eN7NKkbSW0pMul5O0EenM+fKy4zKrg45+IpOZVdLypLvO1yU1m14E/KzMgMzqws37ZmZmHcLN+2ZmZh3CzftL0bBhw2LMmDFlh2FmtkyZPHnyUxExvPsxbXE56S9FY8aMYdKkSWWHYWa2TJG0uE++sx5y876ZmVmHcNI3MzPrEE76ZmZmHcJJ38zMrEM46ZuZmXUIJ30zM7MO4aQP5FcS3irpdkl3Szq+yTgrSLpY0jRJt0gaU0KoZmZmS8xJP3kReG9EbE56jekukrZtGOdA4NmIWB84hfTKRjMzs2WGkz4QyfzcOyj/Nb6UYHfgnNx9KbCzJPVTiGZmZr3mJ/JlkgYAk4H1gZ9GxC0No4wAZgBExAJJc4DVgaca5jMOGAcwevToXsU05ugrejX9smb6ibuWHYKZWa35TD+LiFciYgtgJLC1pE2XcD6nR8TYiBg7fLgfHW1mZtXhpN8gImYDE4FdGgY9CowCkDQQWBV4ul+DMzMz6wUnfUDScEmr5e7BwPuB+xpGGw/sl7v3BK6JiMbr/mZmZpXla/rJWsA5+br+csAlEfFHSScAkyJiPHAmcJ6kacAzwF7lhWtmZrb4nPSBiLgD2LJJ+bGF7v8An+jPuMzMzPqSm/fNzMw6hJO+mZlZh3DSNzMz6xBO+mZmZh3CSd/MzKxDOOmbmZl1CCd9MzOzDuGkb2Zm1iGc9M3MzDqEk76ZmVmHcNI3MzPrEE76ZmZmHcJJ38zMrEM46ZuZmXUIJ30zM7MO4aRvZmbWIZz0zczMOoSTvpmZWYeoTdKXNEDSxLLjMDMzq6raJP2IeAV4VdKqZcdiZmZWRQPLDqCPzQfulHQ18FxXYUQcWl5IZmZm1VC3pP/b/GdmZmYNapX0I+IcScsDG+ai+yPi5TJjMjMzq4paJX1JOwLnANMBAaMk7RcR15cYlpmZWSXUKukDPwA+EBH3A0jaELgQeHupUZmZmVVAbe7ezwZ1JXyAiHgAGNTdRJJGSZoo6R5Jd0s6rMk4O0qaI2lq/ju2j2M3MzNbqup2pj9J0hnA+bn/M8CkHky3ADgiIqZIGgpMlnR1RNzTMN4NEbFbH8ZrZmbWb+qW9A8Gvgh0/UTvBuBn3U0UETOBmbl7nqR7gRFAY9I3MzNbZtUq6UfEi8DJ+W+JSBoDbAnc0mTwOyXdDjwGfCUi7m4y/ThgHMDo0aOXNAwzM7M+V4ukL+lOIFoNj4jNejiflYHLgMMjYm7D4CnAOhExX9KHgd8BGzRZ1unA6QBjx45tGZOZmVl/q0XSB3p9nV3SIFLCvyAiXveAn+JBQERMkPQzScMi4qneLtvMzKw/1CLpR8TDvZlekoAzgXsjoumlAUlrAk9EREjamvTLh6d7s1wzM7P+VIuk30XStsBPgLcCywMDgOciYpVuJt0O2Jf03P6puewYYDRARPwc2BM4WNIC4AVgr4hw872ZmS0zapX0gVOBvYDfAGOBz7LwkbwtRcSNpCf4tRvn1Dx/MzOzZVLdHs5DREwDBkTEKxFxFrBL2TGZmZlVQd3O9J/PL9yZKul7pN/e1+7AxszMbEnULSHuS1qnQ4DngFHAx0uNyMzMrCLqdqb/duCK/PO648sOxszMrErqdqb/EeABSedJ2k1S3Q5qzMzMllitkn5EHACsT7p7f2/gX/kFPGZmZh2vdmfCEfGypCtJj+UdDOwBHFRqUGZmZhVQqzN9SR+SdDbwT9INfGcAa5YalJmZWUXU7Uz/s8DFwOfzG/fMzMwsq1XSj4i9y47BzMysqmrVvG9mZmatOembmZl1iNolfUmDJW1UdhxmZmZVU6ukL+kjwFTgT7l/C0njSw3KzMysImqV9IHjgK2B2QARMRVYt7xwzMzMqqNuSf/liJjTUBalRGJmZlYxtfrJHnC3pE8DAyRtABwK/K3kmMzMzCqhbmf6XwI2AV4ELgTmAoeXGZCZmVlV1OpMPyKeB74OfF3SAGBIRPyn5LDMzMwqoVZn+pJ+LWkVSUOAO4F7JH217LjMzMyqoFZJH9g4IuaS3qx3JenO/X1LjcjMzKwi6pb0B0kaREr64yPiZXz3vpmZGVC/pP8LYDowBLhe0jqkm/nMzMw6Xt1u5Psx8ONC0cOSdiorHjMzsyqp1Zm+pDUknSnpyty/MbBfyWGZmZlVQq2SPnA2cBWwdu5/AP9O38zMDKhf0h8WEZcArwJExALgle4mkjRK0kRJ90i6W9JhTcaRpB9LmibpDklb9X34ZmZmS0+trukDz0lanXzHvqRtgcZn8TezADgiIqZIGgpMlnR1RNxTGOdDwAb5bxvgtPzfzMxsmVC3pP9lYDywnqSbgOHAnt1NFBEzgZm5e56ke4ERQDHp7w6cGxEB3CxpNUlr5WnNzMwqr1ZJP5+p7wBsBAi4P/9Wv8ckjQG2BG5pGDQCmFHofySXLZL0JY0DxgGMHj16cRbd8cYcfUVpy55+4q6lLdvMrL/U7Zo+EbEgIu6OiLuWIOGvDFwGHJ6f7Lckyz89IsZGxNjhw4cvySzMzMyWitol/SWVn+R3GXBBRPy2ySiPAqMK/SNzmZmZ2TLBSZ90Zz5wJnBvRJzcYrTxwGfzXfzbAnN8Pd/MzJYltbqmDyBpBLAOhXWLiOu7mWw70ot57pQ0NZcdA4zO0/8cmAB8GJgGPA8c0KeBm5mZLWW1SvqSTgI+Rbrrvuv3+QG0TfoRcSPpxr924wTwxT4I08zMrBS1Svqkt+ttFBEvlh2ImZlZ1dTtmv6DwKCygzAzM6uiup3pPw9MlfRX4LWz/Yg4tLyQzMzMqqFuSX98/jMzM7MGtUr6EXGOpOWBDXPRYj+Rz8zMrK5qlfQl7QicA0wn3Y0/StJ+PfjJnpmZWe3VKukDPwA+EBH3A0jaELgQeHupUZmZmVVA3e7eH9SV8AEi4gF8N7+ZmRlQvzP9SZLOAM7P/Z8BJpUYj5mZWWXULekfTHpqXtdP9G4AflZeOGZmZtVRt6Q/EPhR10tzJA0AVig3JDMzs2qo2zX9vwKDC/2Dgb+UFIuZmVml1C3prxgR87t6cvdKJcZjZmZWGXVL+s9J2qqrR9LbgRdKjMfMzKwy6nZN/3DgN5IeIz2cZ03Sq3bNzMw6Xq2SfkTcJuktwEa5yI/hNTMzy2qV9AFykr+r7DjMzMyqpm7X9M3MzKwFJ30zM7MOUaukL2k7SUNy9z6STpa0TtlxmZmZVUGtkj5wGvC8pM2BI4B/AeeWG5KZmVk11C3pL4iIAHYHTo2InwJDS47JzMysEup29/48SV8D9gW2l7QcfrWumZkZUL8z/U8BLwKfi4jHgZHA98sNyczMrBpqlfRzor+MhW/Wewq4vLyIzMzMqqNWSV/SfwGXAr/IRSOA3/Vgul9JelJS04f6SNpR0hxJU/PfsX0WtJmZWT+pVdIHvghsB8wFiIh/Am/qwXRnA7t0M84NEbFF/juhV1GamZmVoG5J/8WIeKmrR9JAILqbKCKuB55ZmoGZmZmVrW5J/zpJxwCDJb0f+A3whz6a9zsl3S7pSkmbtBpJ0jhJkyRNmjVrVh8t2szMrPfqlvSPBmYBdwKfByYA3+iD+U4B1omIzYGf0OY+gYg4PSLGRsTY4cOH98GizczM+katfqcfEa8Cv8x/fTnfuYXuCZJ+JmlYRDzVl8sxMzNbmmp1pp+fvX+1pAckPSjpIUkP9sF815Sk3L01qd6e7u18zczM+lOtzvSBM4H/ASYDr/R0IkkXAjsCwyQ9AnyT/CS/iPg5sCdwsKQFwAvAXvlxv2ZmZsuMuiX9ORFx5eJOFBF7dzP8VODUJY7KzMysAuqW9CdK+j7wW9LjeAGIiCnlhWRmZlYNdUv62+T/YwtlAby3hFjMzMwqpVZJPyJ2KjsGMzOzqqrb3ftrSDpT0pW5f2NJB5Ydl5mZWRUs80lf0j6S1sy9ZwNXAWvn/geAw0sIy8zMrHKW+aQP/BU4OXcPi4hLgFcBImIBi/HTPTMzszpb5pN+RMwEDs69z0lanfySHUnbAnPKis3MzKxKanEjX0R0JfYvA+OB9STdBAwnPVjHzMys49Ui6XeJiCmSdgA2AgTcHxEvlxyWmZlZJdQq6Uv6WEPRhpLmAHdGxJNlxGRmZlYVtUr6wIHAO4GJuX9H0nP415V0QkScV1ZgZmZmZatb0h8IvDUinoD0u33gXNKT+q4HnPTNzKxjLfN37zcY1ZXwsydz2TOAr+2bmVlHq9uZ/rWS/gj8Jvd/PJcNAWaXFpWZmVkF1C3pf5GU6LfL/ecCl0VEAH4uv5mZdbRaJf2c3C/Nf2ZmZlZQq2v6kraVdJuk+ZJekvSKpLllx2VmZlYFtUr6wKnA3sA/gcHAQcBPS43IzMysIuqW9ImIacCAiHglIs4Cdik7JjMzsyqo1TV94HlJywNTJX0PmEkND2zMzMyWRN0S4r7AAOAQ4DlgFOlufjMzs45XqzP9iHg4d74AHF9mLGZmZlVTqzN9SbtJ+oekZyTNlTTPd++bmZkltTrTB34IfIz0Vr0oORYzM7NKqdWZPjADuMsJ38zM7PXqdqZ/JDBB0nXAi12FEXFyeSGZmZlVQ93O9L8DPA+sCAwt/HVL0q8kPSnprhbDJenHkqZJukPSVn0WtZmZWT+o25n+2hGx6RJOezbpiX7nthj+IWCD/LcNcFr+b2Zmtkyo25n+BEkfWJIJI+J64Jk2o+wOnBvJzcBqktZakmWZmZmVoW5n+gcDX5H0IvAyINLL91bpg3mPIN0o2OWRXDazOJKkccA4gNGjR/fBYs3qZczRV5S27Okn7lrasstSVn13Yl0vC2p1ph8RQyNiuYgYHBGr5P6+SPiLE8PpETE2IsYOHz68PxdtZmbWVi3O9CW9JSLua3VzXURM6YPFPEp6rG+XkbnMzMxsmVCLpA98mdSk/oMmwwJ4bx8sYzxwiKSLSDfwzYmImd1MY2ZmVhm1SPoRMS7/32lJ5yHpQmBHYJikR4BvAoPyfH8OTAA+DEwj/SzwgN5FbWZm1r9qkfT7QkTs3c3wAL7YT+GYmZn1uVrdyGdmZmatOembmZl1iFol/fyo3H0kHZv7R0vauuy4zMzMqqBWSR/4GfBOoOv6/Dzgp+WFY2ZmVh11u5Fvm4jYStI/ACLiWUnLlx2UmZlZFdTtTP9lSQNIv81H0nDg1XJDMjMzq4a6Jf0fA5cDb5L0HeBG4LvlhmRmZlYNtWrej4gLJE0Gdia9bGePiLi35LDMzMwqoRZJX9IbC71PAhcWh0VEu1fmmpmZdYRaJH1gMuk6voDRwLO5ezXg38C6pUVmZmZWEbW4ph8R60bEm4G/AB+JiGERsTqwG/DncqMzMzOrhlok/YJtI2JCV09EXAm8q8R4zMzMKqMuzftdHpP0DeD83P8Z4LES4zEzM6uMup3p7w0MJ/1s77e5u+3b88zMzDpFrc708136h5Udh5mZWRXV7UzfzMzMWnDSNzMz6xBO+mZmZh2iVklf0khJl0uaJelJSZdJGll2XGZmZlVQq6QPnAWMB9YC1gb+kMvMzMw6Xt2S/vCIOCsiFuS/s0k/2zMzM+t4dUv6T0vaR9KA/LcP8HTZQZmZmVVB3ZL+54BPAo8DM4E9gQNKjcjMzKwi6vZwnoeBj5Ydh5mZWRXVIulLOrbN4IiIb/VbMGZmZhVVl+b955r8ARwIHNWTGUjaRdL9kqZJOrrJ8P3zTwGn5r+D+ip4MzOz/lCLM/2I+EFXt6ShpOfvHwBcBPyg1XSFaQYAPwXeDzwC3CZpfETc0zDqxRFxSJ8FbmZm1o/qcqaPpDdK+jZwB+lgZquIOCoinuzB5FsD0yLiwYh4iXSwsPtSDNfMzKzf1SLpS/o+cBswD3hbRBwXEc8uxixGADMK/Y/kskYfl3SHpEsljWoRyzhJkyRNmjVr1mKEYGZmtnTVIukDR5CewPcN4DFJc/PfPElz+2gZfwDGRMRmwNXAOc1GiojTI2JsRIwdPtzPBTIzs+qoyzX93h68PAoUz9xH5rLiMooP+TkD+F4vl2lmZtav6nKm31u3ARtIWlfS8sBepGf4v0bSWoXejwL39mN8ZmZmvVaLM/3eiogFkg4BrgIGAL+KiLslnQBMiojxwKGSPgosAJ4B9i8tYDMzsyXgpJ9FxARgQkPZsYXurwFf6++4zMzM+oqb983MzDqEk76ZmVmHcNI3MzPrEE76ZmZmHcJJ38zMrEM46ZuZmXUIJ30zM7MO4aRvZmbWIZz0zczMOoSTvpmZWYdw0jczM+sQTvpmZmYdwknfzMysQzjpm5mZdQgnfTMzsw7hpG9mZtYhnPTNzMw6hJO+mZlZh3DSNzMz6xBO+mZmZh3CSd/MzKxDOOmbmZl1CCd9MzOzDuGkb2Zm1iGc9M3MzDqEk76ZmVmHcNLPJO0i6X5J0yQd3WT4CpIuzsNvkTSmhDDNzMyWmJM+IGkA8FPgQ8DGwN6SNm4Y7UDg2YhYHzgFOKl/ozQzM+sdJ/1ka2BaRDwYES8BFwG7N4yzO3BO7r4U2FmS+jFGMzOzXhlYdgAVMQKYUeh/BNim1TgRsUDSHGB14KniSJLGAeNy73xJ9y+ViBffMBpiNSDXi9xu00zttpk++pxrVy996LW66WVdr9MXwdjrOen3sYg4HTi97DgaSZoUEWPLjqNqXC+tuW6ac7205rqpPjfvJ48Cowr9I3NZ03EkDQRWBZ7ul+jMzMz6gJN+chuwgaR1JS0P7AWMbxhnPLBf7t4TuCYioh9jNDMz6xU37/PaNfpDgKuAAcCvIuJuSScAkyJiPHAmcJ6kacAzpAODZUnlLjlUhOulNddNc66X1lw3FSefrJqZmXUGN++bmZl1CCd9MzOzDuGkX2OSRkmaKOkeSXdLOqzsmKpC0oqSbpV0e66b48uOqUokDZD0D0l/LDuWKpE0XdKdkqZKmlR2PFUhaTVJl0q6T9K9kt5ZdkzWnG/kq7cFwBERMUXSUGCypKsj4p6yA6uAF4H3RsR8SYOAGyVdGRE3lx1YRRwG3AusUnYgFbRTRPjhPIv6EfCniNgz/wJqpbIDsuZ8pl9jETEzIqbk7nmknfiIcqOqhkjm595B+c93tQKSRgK7AmeUHYtVn6RVgfeQfuFERLwUEbNLDcpactLvEPmtgFsCt5QcSmXkJuypwJPA1RHhukl+CBwJvFpyHFUUwJ8lTc6P3DZYF5gFnJUvCZ0haUjZQVlzTvodQNLKwGXA4RExt+x4qiIiXomILUhPYNxa0qYlh1Q6SbsBT0bE5LJjqah3R8RWpDdyflHSe8oOqAIGAlsBp0XElsBzwOteT27V4KRfc/l69WXABRHx27LjqaLcFDkR2KXkUKpgO+CjkqaT3jb5XknnlxtSdUTEo/n/k8DlpDd0drpHgEcKLWWXkg4CrIKc9Gssv/r3TODeiDi57HiqRNJwSavl7sHA+4H7Sg2qAiLiaxExMiLGkJ46eU1E7FNyWJUgaUi+IZbcfP0B4K5yoypfRDwOzJC0US7aGfDNwhXlu/frbTtgX+DOfO0a4JiImFBeSJWxFnCOpAGkg99LIsI/T7N21gAuT8fSDAR+HRF/KjekyvgScEG+c/9B4ICS47EW/BheMzOzDuHmfTMzsw7hpG9mZtYhnPTNzMw6hJO+mZlZh3DSNzMz6xBO+mYly29C/GBD2eGSTmszzbWSxvZimWdLeii/LW6qpENz+XRJwwrj7Sjpj0qekvSGXL6WpJD07sK4syStLum4PGz9hvWJ3sRsZr3npG9WvgtJD8Ip2iuX94n8PIJGX42ILfLfj9tNH+m3vTcDXa9MfRfwj/yf/GCWpyPi6Tz8ThZdp08Ad/diFcysDzjpm5XvUmDX/GCTrpcjrQ3cIOk0SZMk3S3p+GYTS9o7v+P9LkknFcrnS/qBpNtZmKx742/kJJ//n8KiBwE3Fcb9HbB7jmM9YA7g19GalcxJ36xkEfEMcCvpJS6QzpAvyWfXX4+IscBmwA6SNitOK2lt4CTgvcAWwDsk7ZEHDwFuiYjNI+LGJov+fqF5/22F8old5Sz6et2bWJj0tyY9e35U7n8X6aCgy1zSo1k3zetzcfc1YWZLm5O+WTUUm/iLTfuflDSF1JS+CbBxw3TvAK6NiFkRsQC4gPRuc4BXSC9baqXYvH9noXynrnLgoEL5bcCW+bnzgyJiPvBgvnbfeKYP6YU9ewF7kA4QzKxkTvpm1fB7YGdJWwErRcRkSesCXwF2jojNgCuAFRdjnv+JiFf6KsCIeB74J/A5YEouvhn4MPAm4P6GSf5IevfDv/1KZ7NqcNI3q4B81jwR+BULz/JXIb2bfI6kNVjY/F90K6nZf1i+WW9v4LqlGOrfgMOBv+f+vwOHATdHw4s88kHCUcB3lmI8ZrYYnPTNquNCYPP8n4i4ndSsfx/wa17ffE5EzASOJh0w3A5MjojfL8UYbwLezMKkPwUYyaLX84vxXRQRU5oNM7P+57fsmZmZdQif6ZuZmXUIJ30zM7MO4aRvZmbWIZz0zczMOoSTvpmZWYdw0jczM+sQTvpmZmYd4v8DNxFsOcQDvmkAAAAASUVORK5CYII= +" +> +</div> + +</div> + +</div> + +</div> + +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [82]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_yi</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_yi</span><span class="p">))</span> +<span class="nb">print</span><span class="p">(</span><span class="n">FWHM_yi</span><span class="p">)</span> +<span class="n">stdyi</span> <span class="o">=</span> <span class="n">FWHM_yi</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">stdyi</span><span class="p">)</span> +<span class="n">meanyi</span> <span class="o">=</span> <span class="n">FWHM_yi</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">meanyi</span><span class="p">)</span> +<span class="n">medianyi</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_yi</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">medianyi</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_yi</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección y para escala de grises considerando incertidumbre'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Valor FHWM'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'No de imagénes con ese valor'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> +<pre>[2.28885987 2.38436131 5.84888198 2.31351194 3.02717611 2.48594945 + 4.90151913 3.05066236 2.11458987 2.29051452] +1.2080118897663938 +3.0706026542016884 +2.4351553795125156 +</pre> +</div> +</div> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h2 id="Canal-rojo">Canal rojo<a class="anchor-link" href="#Canal-rojo">¶</a></h2> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [83]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xir</span> <span class="o">=</span> <span class="p">[]</span> +<span class="n">FWHM_yir</span> <span class="o">=</span> <span class="p">[]</span> +</pre></div> + + </div> +</div> +</div> +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-1">Estrella 1<a class="anchor-link" href="#Estrella-1">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [84]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_1r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_1r</span> <span class="o">=</span> <span class="n">str_1r</span><span class="p">[</span><span class="mi">283</span><span class="p">:</span><span class="mi">288</span><span class="p">,</span><span class="mi">890</span><span class="p">:</span><span class="mi">895</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_1r</span><span class="p">,</span> <span class="n">cmap</span> <span class="o">=</span><span class="s1">'Reds'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">70</span><span class="p">,</span> <span class="mf">1.2</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_1r</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xir</span><span class="p">,</span><span class="n">FWHM_yir</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_1r</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img src="data:image/png;base64,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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-2">Estrella 2<a class="anchor-link" href="#Estrella-2">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [85]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_2r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_2r</span> <span class="o">=</span> <span class="n">str_2r</span><span class="p">[</span><span class="mi">252</span><span class="p">:</span><span class="mi">257</span><span class="p">,</span><span class="mi">949</span><span class="p">:</span><span class="mi">955</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_2r</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Reds'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">24</span><span class="p">,</span> <span class="mf">1.3</span><span class="p">,</span> <span class="mf">2.5</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_2r</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xir</span><span class="p">,</span><span class="n">FWHM_yir</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_2r</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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1y9aRNPDh0qx+hGEAlkA8uvr+fW5cvZ5HDwwLhx+OXJVncjFizgyLfewpWYyIc33kjVwIEH/bmCMTE0ZWbSlJlJWTt/bvb5SNg5wt7lzVFTQ//Vq4lratrt4/0Wy26B3ZSeTnNqKhV2Ow0pKbQmJMiTcxT4b9++9HG5OKu0lLLYWN7Ny9O7JNFBEsgGldfczD1Ll1Jrt3P3hAmyHqQzs9fLUW++yYjvvqMkP58vLrkEdzfv/w7ExNCYlUVjVla7f27xeknYNazr6tqmxNNLSojdo+PWZ7HQlJJCY0oKDampNKak0JSSQkP491zx8RLYvcSzgweT43Zz1ebNVNjtLJQdGRFBnuUNKN3l4v4lS/CZTNw5aRJN0jGpK0d1NTOee4700lKWnHQSS08+2RBruX6rlYacHBpyctr9c4vbTWJdHaaSEpLr6kiqryepvh5HfT05paXE7nHhvddqpTEcznuGdWNKCu64OAnsCKEpxYP5+fx1xQruLCriWpuNjQ6H3mWJA5BANpgEr5f7liwhzu/nD4cdRmVcnN4lRbX+q1ZxzMsvoynFJ1ddxfbCQr1L6jC/3U59nz40xse3++dWtxtHQ8NeYZ1cV0ducTF2t3u3j/fYbLsF9m5vqal4YmN74ssSHeQxm7mjsJB/LFvGQ6tXc9WECVTKEbuGJoFsILZAgLuXLaOP08mdkyaxVV7R6kYFAkz66CPGf/op1Xl5fHbFFTSnp+tdVpfy2u3UZGdTk53d7p/bXK62oG57C4d3vy1bsHk8u328225vN6h3/rdXwqDH1Vut3FZYyFPLlvHQqlX8fvx4nLL8ZVjynTEIUzDILStWkF9fz0Njx7JajsDTjb2pieNeeoncDRtYd+SRLDzzTAJReJOWJzaWqthYqvr02fsPNQ37roG9yyg7pbaWAZs2Yd3jvl5XbGwooJOTaUxJYWNhIWX9+/fQVxO9tsXHc/eoUTyyahX3rF3LrYWFBAyw5CL2JoFsBJrG79eu5fCqKp4qKGDhPtYERffL2rKF459/HrvTyVcXXMCGKVP0LsmYlMIdF4c7Lo7K9k6N0zRiW1v3Cuuk+nrSqqsZtGEDE779lk/OOIN148b1fP1RZllKCo8OG8atGzZw/caNPDp8uPQDGJAEsgH8+scfOaG0lNcHD+YTGTHoQ9MY9fXXHPHOO7SkpvL+zTdTK9tFDp5SuOLjccXHU5Gbu9cf21wuTn3lFX7x1lskNDez6KijJCC62ac5OfRxu/n1tm2UxcbyhjzXGI4Ess4ucjo5u7yc2Xl5vDp0qN7lRCWL2830115j6JIlFBcW8uVFF+GVZrpu5YmN5T+XXMLJb7/Nzz75hISmJr486SQ52KSb/d+AAfR1ubhi61YqYmP5KjNT75LELiSQdfQLl4v7Ghv5LjOTfxQUyAhBB8kVFcx47jmSKyr4YdYsls+YIaHQQwIWC/89+2ycCQlMWrCA+OZmPjnjDALSdNR9lOKR4cPJ8Hi4taiIKpuNtUlJelclwuSZRydTPR7+Vl/PYquVR8aOlTNndTBo6VJ+9fDDxDY3879rrmH5zJkSxj3NZOKLX/yCr048kYKVKzn9//4P6x7brUTX8pnN/HHkSKrsdu5fs4Y+LpfeJYkwefbRwUifjxfr6thisXBxaipeueGnR5kCAY545x1mvPACdX378s7tt1Mml3boRykWTZ/Ox2eeSd7WrZz77LPE73EsqOhaTVYrtxYWojSNh1atwuHz6V2SQAK5x/Xz+3m1tpZGk4nz09JolBFZj4praOAXf/0rY774gtU/+xn/vf56nCkpepclgLXjx/PORReRUlvLBU8/TWp1td4l9WplcXHcOWoU2W43965ZQ0wwqHdJUU/SoAelBQK8XltLjKZxbmoqFTIy7lF9Nm7k9AcfJL20lLmXXMLCM88kKOuVhlI8bBhvXHEFFr+f8555hj7bt+tdUq+2JjmZR0aMYExjIzdt2AC7XAcqep4Ecg+JDwZ5pa6O7GCQX6elsTkKD5rQjaYx9rPP+PkTT+CJj+e9W25h86RJelcl9qEiN5dXf/tbPLGxnP388wwuKtK7pF7ty6wsXhg4kBmVlVxYXKx3OVFNArkHxGgaL9TVMdLn4zcpKSyzWvUuKWpYXS5OePZZDn//fbaOG8d7t9xCvRy8YngNaWm8+tvfUpOVxa/+/W9GL1qkd0m92mv9+jE7O5uLtm1jRkWF3uVELZmv62ZK0/hrQwPTvF6uS07mCznPt8eklpZywnPPkVBby8LTT2f1McfI1rII0pqQwBuXX84vX3uNE997j4TmZr6V72H3UIrHhw0jy+3mpg0bqLTZWCm9FT1ORsjdSdO4u6mJU10uHkhM5D9y2ESPGfrDD5z65z9j8Xr56PrrWX3ssfJEHoF8NhvvXnghq8eP56i5c5nxwQcoaT7qFn6TibtGjqQsNpb71q4lz+nUu6SoI4HcjX7b0sLlTifPx8fzdDdfZi9CTD4fR73+Ose+/DJVAwfyzu23UzFkiN5liUMQNJv55Iwz+O7ooxn3ww/88tVXscg2nW7hjInh1sJCfErx8OrVJO9xQYjoXhLI3eSM1lbubG7m/dhY/uRwyOisByTU1vLLxx5j5DffsHzGDD6+5hpccoVl76AU82fOZO4ppzC0qIizXngBe2ur3lX1SpWxsdxRWEia18v9a9ZgDQT0LilqSCB3g2Pdbh5taGC+1cr1ycloEsbdLnfdOk5/6CGSKiuZ85vf8MOpp6LJtrJeZ9mUKXx47rlkl5Zy3j//SWJDg94l9UrrHQ4eyM8nv6mJ29avR8l2qB4hgdzFxnu9PFtfz9qYGC5LTcUnYdy9gkEmfPwxJz/1FC3Jybx3220Ujx2rd1WiG20oLOTtSy8loamJC55+mnTpCu4W32Rk8M/Bgzm6uprLt2zRu5yocMBAVkq9pJSqUkqt6YmCItkQn49/19ZSYTJxQWoqTjmFq1vZWlo46R//YNL//sfGyZP54A9/oFFur4kKJYMG8dqVVwJw3j//SZ4ERrf4T24uH/bpwzklJfy8vFzvcnq9jiTGy8DMbq4j4mUHArxeV4dPKc5NS6NWpku7Vca2bZz+0EP03biReeeey1cXXohf9ndHlZrsbF656ipaHA7OfPFFhq9erXdJvY9SPDlkCN+npnLdxo1MqqvTu6Je7YCBrGnafEC+C/vhCAZ5tbYWRzDI+WlpbJfjGLtV/oIF/PLRRwH44KabKJLL7aNWc3Iyr115JRW5ucx6/XXGf/ut3iX1OkGTiXsLCiiOj+futWsZ1NKid0m9VpfNqSqlrlBKLVFKLQlG2T7By1paGOb3c2lqKmvlSMxuNb66mumvvUbZsGG8c9ttVPfvr3dJQmfuuDjeuuwyfszP5/j//pe+27bpXVKv47JYuLWwEI/JxO82bdK7nF6rywJZ07TnNE2bqGnaRFOUrZ0e7vWyNiaGhTab3qX0atZAgN+tXUt9VhZzrrwSj+ztFmH+mBg+PvtsWhITmT57tlyS0A1q7HZm5+QwpqGBRNkH3i2iKzm7gUXTGOfzsVjWL7vd2Zs3k+Ny8c055xCUmQixB5/VyoLjjiOvuJghciFFt1iQno4ZOKy2Vu9SeiUJ5ENU4PMRp2kskUDuVnktLZy2ZQuf9+1L+fDhepcjDGr1xInUpqczfc4clBxo0eU2JCZSY7VyZE2N3qX0Sh3Z9vQG8B0wXClVqpS6tPvLihyTwkfLyQi5G2kaV69Zg9ti4UUJY7EfQbOZ+SecQHpVFaOWLdO7nF5HU4qF6elMrqsjRl7wdLmOdFmfo2lajqZpMZqm5Wqa9mJPFBYpJnm9lJrN7JBtTt3m+LIyCuvreWn4cBplnV4cwMZRoyjPy+OouXOxyFnMXW5hWhqxwSAT5JS0LidT1odC05jo9crouBs5vF4uWb+etSkpfJabq3c5IhIoxVcnnkhiUxMTZBtUl1uRkoLTbGaqTFt3OQnkQ9A3ECAnGJRA7kaXrF9PvN/PUyNHypngosNKBw1i04gRHP7113IJRRfzmUwsSk1lSk2NnHHdxSSQD8HO9WNp6Ooeo+rqmFFWxnsDB7ItMVHvckSEmTdzJjaPhyO++krvUnqdhenppPp85Dc16V1KryKBfAgmeb00K0WRnMzV5SzBIFevWUNFbCxvyH3G4iDUZGezZvx4xn/7LY76er3L6VW+T03Fr5R0W3cxCeRDMMnrZZnVSlCmUrvcr7ZupZ/TydMFBXikYU4cpG+OPx6U4si5c/UupVdxxsSwIjlZ1pG7mATyQUoIBhnh98v6cTfIdjo5Z9MmFmRlsURubxKHoDk5maVTpjBq+XIyduzQu5xeZWF6Ov1cLvKcTr1L6TUkkA/SeK8XM7J+3OU0javWrSOgFM8WFOhdjegFvj/6aDw2G9PnzNG7lF5lYVoaAFPl1K4uI4F8kCZ5vQSAZXKEY5c6qqKCiTU1/HvYMGrtdr3LEb2AOy6O7372MwZv2EDe5s16l9NrVNvtbEhIkHXkLiSBfJAmeb2si4nBGWUXaXSnOJ+P3xQV8aPDwcdyi5PoQsumTKEpKYmj58yRiye60ML0dPKbmsiUU7u6hKTJQTBrGuPlQokud+HGjSR5PDw1apQ0yoku5Y+JYcHxx9OnpITha9boXU6vsSA9HRMww+PRu5ReQQL5IOT7fMRrmgRyFxrW0MDJ27fzcf/+/JiUpHc5ohdaM3481VlZTPv0U0wyousSW+PjKbfbmSmB3CUkkA+CHAjStUzBIFevXUudzca/hw7VuxzRS2kmE/NmziS1pobRixfrXU7vEL5s4kivl/hgUO9qIp4E8kGY5PVSZjZTLvtju8Qvtm1jSFMTz+bn45ImOdGNNo8YQcmAAUz9/HNiZFTXJRamp2MHfiYXeRwyCeSDMMnrZYkER5dIc7m44McfWZyRwcLsbL3LEb2dUnx90kkktLQwacECvavpFVY7HNQqxQnyAueQSSB3Uh+/nz5yoUSXubKoCJOm8XRBAURyI5emoWTKLiKU9+vHhpEjmTxvHnEtLXqXE/GCJhOf22wc7/FgkQ72QyKHMHfSzvVjCeRDN7mykqmVlfzfsGFUxsXpXc5Bi2tsZOpbbzFg5UoqBw2iun9/qvv3p6p/f5oyMiL7hUYvNX/mTIYWFXHEl1/yxSmn6F1OxJtts3GW281hPh8L5bnxoEkgd9IkrxenUhTJlPUhsfn9XLVuHdsSEnh/4EC9yzloJr+fGc89R/aWLZTk5xPjdjNy/nwsPh8QOpSiun9/qvv1o2rAAKr798eZnCwhrbO6jAxWTprEuB9+YOnUqTSET50SB2e+zYYLONHtlkA+BBLInTTJ62VZTAwBeUI9JOdt2kSm281Nhx2GP4IPV5n69ttkb9nC3MsuY/OECQCYAgFSysvJ3LaNjPDbmLlzMYentJ0Ox26j6Or+/XHL9ZI9buGxxzJy2TKO+uwzPjrnHL3LiWitSjHPZmOmx8OdmiYvOA+SBHInxAeD5Pv9/C0hQe9SItqA5mZOLS7m09xc1qWm6l3OQRuxYAEjv/mG5TNmtIUxQNBspjYvj9q8PIqOPBIAs9dLWmnpbiHdf82atgvem1NT20bQVf37U9OvH97YWF2+rmjhdDhYcuSRTPnqKxYddRSVubl6lxTRPg0H8ii/nzUyg3hQJJA7YeeFErJ+fPCUpnH1mjW0WCy8NHy43uUctMwtWzjqrbcoyc9n0axZB/z4gNVK1aBBVA0a1PZ7MS4XGSUlbQGdWVzM4GXL2v68Pitrt1F0TV4eAfnZ61I/TJ/O2B9+4Og5c3jrssv0LieifWazEQBmejwSyAdJArkT2i6UkCfFg3ZCSQkFDQ08VlhIc4Q+jrGNjZzw3HM4k5L4/NJL0Q5yyt0XG0v5sGGUDxvW9nv2lhbSt28ns7iYjG3b6LthA8MWLQJC3ax1ffrsFtJ1ffsSlP3wB81rt/PtMcdw3McfM2DjRop3+V6Izqk1mVgcE8NMj4dHZRbxoEggd8Ikr5f1FgstEbzmqadkj4eLN2xgZWoqX/Ttq3c5B8Xk9zPj+eexuly8f/PNeOLju/TzuxMSKC0ooHSXqyfjGhpCU93FxWRu28bAFSvIX7gQAL/FQm1u7k8hPWAADVlZB/0iIRqtOPxwJi5cyNGzZ/PykCF6lxPRPrXZuLulhbxAgBJ5odhpEsgdtPNCiXdkXe+gXbZ+PfZAgH+MHBmxTR9T/vMfcjZvZu4ll1DXQ2uOrcnJFCcnUzxmTOg3NI3Empq29ejMbdsY9v33jJo3DwCvzUZNv35to+jNqak0pqZG7GPe3QIWC/NPOIFT3nyT/FWrkFuTD96ccCCf4PHwQgRvZdSLBHIHjfD7SZALJQ7amJoajikv543BgymN0Oms4d9+y6j581lx3HFsnjRJv0KUojkjg+aMDDZPnBj6rWCQ5MrK3dajR339NRa/n+MBV1wcFX37siM3l4rcXHbk5tIil3i0KRo9msPmzWPap5/yVGEhPplhOChbLRY2mM3MdLslkA+CBHIHyYEgBy8mEODqtWspj4vjrcGD9S7noGQWFzPtjTcoHTGCH375S73L2YtmMlGfk0N9Tg4bDz8cCE2vp+zYQWJRETmlpWSXlnL4vHmYwtuvmhMTqdgloHfk5uLu4in4iGEy8fWJJ3LWSy9xSnk570rH9UGbbbdztdNJcjBIg7yw6RQJ5A6a5PWyw2SiTNZFOu3MLVvo29rKHZMm4Y3Axy+2qYkZzz6LMymJuZdeihYhX0PQYqE2L48tDgcrDzsMAIvPR2Z5eVtA55SWMmT9+rbtVw2pqW0j6R25uVTm5uK12fT8MnpM8bBhFA8ZwgXFxczJzsZpkafHg/GpzcZ1TifHeTyyxNdJ8hPXQZO83tDoWNbhOqWv08mZmzfzdU4Oy9PT9S6n00yBAMc//zw2p5MPbr4ZT4ROt+/kj4mhvH9/yvv3b/s9q9tNdllZW0Bnl5YyYvVqADSlqEtPbwvoirw8qnJy8PfSbS1fz5zJRU89xVnbt/PSLlvURMetsFjYYTIxUwK50ySQO6BPIEDfQIB/Rut03sHSNH63di0es5nn8/P1ruagHPHOO/TZtInPL76Y2rw8vcvpFl67ne2DB7N9l+WE2JYWcsIhnV1ayoBNmxi1fDkAAZOJmqwsduTlhaa7+/alJju7V2y/qszN5YvMTM4oLeWDvn2pi5LZga6kKcVnNhunu93YNA2PDGI6TAK5AybK+vFB+Vl5OWNra3mqoID6CHxiG/7ddxR+/TUrjz2WTZMn611Oj3IlJLBl+HC27Dy8RdNIbGpqC+ic0lKGr17N2PAeaZ/FQlWfPqFRdN++VOTlUZueDhG4hvjiwIFMq67mwuJi/hrBh9foabbNxoUuF0d5vXwegf/29SKB3AE7L5RY10un6bpDgs/H5evXsz4pidn9+uldTqdlFBdz1OuvUzp8ON+feqre5ehPKZqTkmhOSuLHkSNDv6dpJNfVhaa5S0rILitj9JIlTPz2WwA8NlsonHdpHGtMSTH8ss+O2Fg+6tOHWWVlvJOXR4l0C3fat1YrzUox0+ORQO4ECeQOmOT1slwulOiUizZsINHn445Jk9Ai7HGzNzVxwnPP4XI4+PyyyyKmiavHKUVDWhoNaWkUhfdIq2CQtOrqtoDOKS1lwsKFWAIBAFrj4toCes24cdRnZOj5FezTK/37M7Oigsu2bOHuUaP0LifieJXiC6uVEzwe/qBpBCPsOUAvEsgHEB8MUuDz8WSEN/P0pPz6ek4qKeG9AQPY6nDoXU6nmAIBZrzwAvaWFj646Sbc8n3vFC28vlyTlcWa8B5pk99PRkVFKKBLSsgpLeXwr7+mcMkSXrz+ejwGbPxpsFp5My+PS4qLyW9spEj2bHfaHJuNX3o8jPf5WCLLfR3SLYGsaRqB8CviSDfG48EM/GCxdNvXNH78+G75vHowBQJc9eKLNDgcrDnjDMZ3wz/EK6+8sss/Z5trr4Uff4RXXuH088/vvr+nBy1ZskTvEtr4gO1Azdq15F96KecvW0bxXXfpXdZuVoc7zBdmZvKrigquKS3l/vx8w0+162ndunV7/d7nVite4ASPh8Wy3Nchkddx0cMm+3wEgaXyA9UhUxYtIru6mo9nzMAbaa+K//1vePJJuO466CVhbFStI0dS8etfk/7RRyQtWKB3Oe3yxMTwfmEhI6qrGVtWpnc5EafZZOLbmBhO9Hj0LiViSCAfwCSfjyKLheYI7BbtacmNjRzzzTcUDR3K+kjrTl26FH7zGzj6aPjLX/SuJiqUX3YZrUOG0P+BBzA3NeldTru+HjKEHYmJnLViBSp8wpnouNk2G0MCAYb4/XqXEhEkZfbDpGlM8PlkuqUjNI2fz5mDBnx8wgl6V9M51dVw6qmQkQFvvw1yQlOP0KxWiu++G0t9PXmPPaZ3Oe0KmEy8PXYseY2NHLV1q97lRJxPwx3WMkruGAnk/cj3+0nUNBZJIB9QwYYNjNi0iS+nTaMxkhpg/H4488xQKL//fiiURY9pHTGCiksuIf2TT0gO31ZlNIvz8tiUlsZpq1YRIyO9TtlhNrPcYmGmBHKHSCDvx2SfD5ADQQ7E6vFw8mefsSMzk+8i7QCNm2+Gr7+G556DCRP0riYq7bj4YlqHDaP/gw9iaWjQu5y9KcWb48aR1trKjI0b9a4m4nxqszHR7yezlzT6dicJ5P2Y5POxw2SiRNaP9+vY+fNJbG7mw5NOIhhJj9Wrr8ITT8A118AFF+hdTdTSYmLYevfdmJuayDPo+v36rCxW9OnDKWvXEi+jvU6ZE562PiF84qHYtwh69ux5k73e0PqxbHfYp5wdOzhi8WIWjx9Pad++epfTccuXw+WXw/Tp8OijelcT9VzDhrHjsstI++wzUr74Qu9y2vXW2LHEer38Yu1avUuJKEVmM8XhyybE/kkg70NOIEBuMMgima7eJxUMMmv2bJxxccz92c/0LqfjampCTVzp6aEmLukRMISKCy/EmZ9Pv4cfxlJXp3c5eylJSWHBoEHM2LCBVKdT73Iih1LMsdk4yuslXjrV90sCeR/a1o/lyXqfJi9bRu6OHcw+/njcdrve5XSM3w9nnQUVFaEmrsxMvSsSYZrFEpq6djrp98gjEL6j2UjeHT0agNNXrdK5ksgy22bDBhwj09b7JYG8D5O8XlqBtbIFpl2Jzc0c//XXbBo4kFUFBXqX03G33AJffgn//CeEj3YUxuEePJjy3/yG1C+/JGXuXL3L2UttfDxzhw/nyC1byK2v17uciLE4Joba8GUTYt8kkPdhks/HspgY/LJ+3K6T5s7F7Pfz35kzI2eN/fXX4fHH4eqr4aKL9K5G7EPFeefRMmoU/f/8Zyw1NXqXs5f/jhyJKyaGM1eu1LuUiBEI35F8nNeLxYAzH0YhgdyOuGCQkX6/rB/vw9DNmyksKmLe1KnUpabqXU7HrFgBl10GRx0VCmVhXBYLxXffjcnlov/DDxtu6tpps/HRyJGMLytjeGWl3uVEjE9tNpI1jSPCy4FibxLI7Rjv82FB1o/bY/H5+MWcOVSnpfHNEUfoXU7H1NaGmrhSU+E//5EmrgjgHjCAst/+lpR580idPVvvcvby6fDh1MXGcs7y5YZ7wWBUX1uttCKndu2PBHI7dl4osUSeuPdy9IIFpDY08N+ZMwlEwvr6ziauHTvgvfcgK0vvikQHVZ5zDi2jR9Pv0UeJqa7Wu5zd+CwW3hkzhiG1tUwsKdG7nIjgUor54TuS5UVM+ySQ2zHJ52O9XCixl4zqao78/nuWFxaydcAAvcvpmNtugy++gGeegUg7RSzamc1svesulNdL/wcfNNyT+IKBAylNSuKsFSswy3aeDplts5EbDDJKjiBtlyTOHkyaxkS5UGJvmsYpc+bgtVqZfeyxelfTMW++GTr046qr4OKL9a5GHARP//6U/e53JC9YQNrHH+tdzm6CJhNvjR1LTnMz0zdv1ruciDDXZiOATFvviwTyHkbIhRLtGr9qFQO3b+fTY46hNT5e73IObOVKuOQSOPJI+Otf9a5GHIKqs86iedw48h57jJiKCr3L2c3yvn3ZkJHBr1atwiajvgOqNZlYFBPDTNmP3C4J5D3IhRJ7i2tt5YQvvmBbbi7Lxo7Vu5wD29nElZISauKS72VkM5lCU9fBIAMeeMBYU9fhiyeS3W5mFhXpXU1EmGOzMcrvp59cNrEXCeQ9TPL5qDCZ2C7rx21O+OIL7B4PH554IprR9xwHAnDOOVBWFmriys7WuyLRBby5uZT+/vckff896R98oHc5u/kxI4PFeXn8fN06Et1uvcsxvDnhF8gnyLT1XiR19iAXSuxuwPbtTFi1ioWHHUZVJBwzefvtMHcuPP00HHaY3tWILlR92mk0TZxI3hNPYN2xQ+9ydvP2mDHYAgFmrVmjdymGV2yxsN5slnXkdkgg7yI7ECAvGJT14zBzIMAps2dTn5TEV0cdpXc5B/b22/DnP8OVV8Kll+pdjehqJhPFf/wjAAPuvRcM1Nm8IymJrwcP5rgffySjuVnvcgxvts3GYT4fKQb6HhqBBPIuZP14d0d+9x2ZNTV8NHMmPqO/SFm9OtRJPWUK/O1velcjuom3Tx9Krr0Wx5IlZLz3nt7l7Oa9wkICSsnFEx0wx2bDAhwno+TdSCDvYueFEmsi4cCLbpZaX8/RCxeyZsQINg4Zonc5+1dXB7/8JSQlwTvvSBNXL1dz6qk0Hn44uU8+ibW0VO9y2jTExTFnxAimFhfT34DXRxrJSouFcpNJuq33IIG8i8k+H8vlQgnQNH4+Zw4Bk4n/HX+83tXsXyAA554LJSXw7ruQk6N3RaK7KUXxHXegmUwMvO8+Q01df1xQQLPNxtnLl+tdiqFpSvGpzcYxHg92I3XN60wCOUwulPjJ8E2bGLZlC19Mn06zw6F3Ofv3xz/Cp5/CP/4BkXK2tjhkvuxsSm64gcRly8h8+229y2njslr5YNQoCisqGGWwxjOjmWO1EgccJaPkNhLIYeP8frlQAjAFAsz84guq09L4YcIEvcvZv3fegYcegiuugMsv17sa0cNqf/ELGqZOpe9TT2Hbvl3vctp8MXQo1fHxnLViBUpGf/u00GqlSSnptt6FBHLYZK9XLpQAJi1fTkZtLXOOOYag2ax3Ofu2Zk3oTuMjjoAnn9S7GqEHpdh2++1oVmuo69ogB034zWbeGTOGgXV1HL5tm97lGJZPKb60Wpnh8WCSFy6ABHKbST4fGywWmqL4QBC7280x8+ezpX9/Ngwdqnc5+1ZfH2riSkwMjZJtNr0rCpF7XnucLzOT7TfdROLKlWS9+abe5bT5dsAAtqWkcMbKlZgN8kLBiGbbbGRoGhPk3w4ggQz8dKFEtO8/nr5wIbEuF7OPO86wB6OoYBDOOw+2bw+FcZ8+epcUquXEE8FuD71QeOYZ2LpV76qiRt2JJ1I/bRp9n3kGe3Gx3uUAoaalN8eOJbOlhWM2bdK7HMP6wmrFC9JtHSaBDAz3+3FoWlSvH6fU13PE4sWsGD2aHQY+bvLY+fNh9uzQNPXUqXqXAy4X/OpXMGcOHHNM6FKLq66CQYNg+HC49tpQva2telfaeynFtttuI2i3M+BPfwrdgW0Aq3NyWJuVxamrVxMrI8B2NZtMLLRaQ+vIMm0tgQw/HQgSzSPkGV99RdBkYu706XqXsk8F69dz9MKFcNll8Jvf6F1O6Ankyith6VL48MPQkZ1btsCGDaHDSQYPhuefh5NOgtRUOOGE0M1TRUXy5NPF/OnpbPvDH0hYs4bs117Tu5yQ8MUTDo+Hk9at07saw5pjtTI4EGCoTO1LIENo/bjSZGK7kZuYulFeaSmFRUUsOPxww25zyqyu5rT//peSPn3gqaeMMaX+1FPw73/DPffAKaeEfk8pGDYMrrkGPvkkdPPUp5/C734HpaVwww1QUAADBoS6w997Dxob9fwqeo3644+n7phj6PPss9gNcj/x1rQ0vuvfnxOLikhyufQux5A+DfeASLe1BDIQ3RdKKE3jpLlzaUpI4JvDD9e7nHbZ3W7OfecdvFYrr592mjGauObNg+uvh1/8IrQXel9iY2HGDHjsMVi7FrZtg+eeg4kT4a234LTTIC0Npk2DBx+EZcsMddBFRFGK7bfcQiA+noF/+hPKIFPX74wZgyUY5NTVq/UuxZB2mM0st1iYKYEsgZwVCNAvii+UKFy3jrzycuYefTQ+Ax6KojSNMz74gJSGBt487TRjjOBLSuCMM2DIEHjlFehMZ36/fqE90+++CzU1MH8+3HILOJ1wxx0wYULotLFf/xpefx2qq7vv6+iF/KmpbL/lFuKLisj+97/1LgeAysREvhw6lJ9t2kR2U5Pe5RjSHJuNCX4/mVE+bX3AZxKlVJ5S6iul1Dql1Fql1LU9UVhPieYLJSw+HzO+/JLyrCxWjB6tdzntOmb+fIZv3sz/jj+ebXl5epcDbneoicvthg8+CJ2ffbBiYuCoo+CBB0Lr0BUVoSnw448PNYKddx5kZcGkSaFR+MKFhmlYMrL6446j7vjjyXn+eWJ//FHvcgD4oLAQr9nMGStX6l2KIc0Jz3qdEOXd1h15ae8HbtQ0rQA4HPidUqqge8vqOZN8PlqB1VF4ocSUxYtJbmpiznHHoRlwuj5//Xp+tmABS8eMYZERTg3TNPjtb2HJklBwjhjRtZ8/KwsuuABefRUqK2HxYrj33tAU/YMPwpFHQnp6aHT+4ouhNWnRru1/+AMBh4OB99xjiKnrJrudT/LzOWz7dgbX1OhdjuGsN5vZajZH/bT1AQNZ07QdmqYtC/93M1AE9O3uwnrKZK+XFVF4oUS808m0hQspGjqULQMG6F3OXjJqajj9o48o6dOHj2bONMb6/tNPw8svh0arv/xl9/5dJlNonfnOO2HBgtD09n/+A6efDt99F+o0z8uDwkK46Sb46ivp3N6FPzmZbbfeStzGjeS89JLe5QDwSX4+jXZ76OIJ+V7tTinmWK0c5fUSH8U9FJ1aQ1ZKDQDGAT90SzU9TdMY6fezIgrXj0evXYvd6+Vzg25zmvbtt6BpvHHaafiNMntxxx2h5qt77un5vzslJRTGL7wQWsNevRr+8pfQlPljj4X2QH/7bc/XZWANP/sZ9dOnh9aSDRCAnpgYPi4oIL+qipzmZr3LMZwvbTZswMQo3rPd4UBWSiUA7wLXaZq2V2eCUuoKpdQSpdSSYKS8wlEKH6D/P9We1xhujrIYYDqvPQ0OBxa/H7cROqp3ys8PNV/pfbyqUjBqVKh7u64u9OtbbwWDdsnrydzaijsvzxgzLLtoNtLPtUFYwi+anHr/+9JRh75ypVQMoTB+TdO099r7GE3TntM0baKmaRNNEfSAtipFggFePfe08vBpXH0rKnSupH3F/ftj1jT6GWmddNasUPOV3jVpWmj6fPLk0Lnen30WuvUqSvfR74vyeEhYtYrmiRP1LqVNdlMTzTYbLRLIe8kMD+SqIig/ulpHuqwV8CJQpGna491fUs9qMZmIj8JAbkhKojU2lj4GvbN1e9++BEwmBhroWr22wz8++ki/GurqQnuXf/e7n47qPO44/eoxsITVqzF5PDRNmqR3KW1ympvZkZiodxmGtDOQqyWQ92sqcAFwjFJqRfjtpG6uq8e0KBWVgYxSlOXk0NeggeyzWinLyWGAkQI5Pz+09/i//9Xn7//mGxg7Fj7+GB59NPQ+M1OfWiJA4uLFaGYzzePH611Km5ymJiqMsJfegDKDQZqUwmWw5YWe1JEu6wWapilN00ZrmjY2/PZJTxTXE5xROmUNoWnrzJoaw64jF/frR9/ycmKM0uShVGiU/OWX0JNNOYFAaPvT0UeD1Rpq3rrxRv3Xsg3OsXgxzoICggkJepcCgN3nI8XlYocEcrsyg8Gonq4GOakrFMiR0oTWxcpycjAHg2RVVupdSruK+/XDEgySW1amdyk/mTULvN7Q+dQ9obQUjj0W7r4bzjkndLSmgdZEjcrU0kL8unWGmq7eeUqXTFm3L0MCWQI5aqesgfKcHMC4jV3bcnMJKmWsdeQpU0JnT3/4Yff/Xf/9L4wZEzqI5OWXQ8d0yuiqQxKXLUMFAjQbKJBzdgayfA/blRkMRvX6MUgg44ziQG5wOHDGxhp2Hdljt7MjK8tY68gWC5x8Mvzvf9BdU+lud+i2qFmzoH//UGf3hRcabuuOkTkWLyZos9FSWKh3KW1ympsJEjrbWuxNpqwlkGmJ4jVklKI8J8ewndYQmrbOKyvDbKR17lmzQtuNFi7s+s+9YQMccQT8/e9w7bWhU7mGD+/6v6eXS1y8mJbRo9EMtL0op6mJmoQE/LI9bS+xmoZD0ySQ9S5Ab23bnqI0lMt2NnYZpXFqD8X9+hHj9xtrFD9jRuh86a6ctta00LT0hAmhk7g++gieeMIYV01GGEttLXGbNxtq/RhCgSzrx+3LkD3IgAQyTqWwAHa9C9FJebixK7uqSu9S2rXzhidDrSMnJIQarT78sGteyDU1wfnnw8UXh252WrkSfv7zQ/+8USpx6VIAmidP1rmSXWga2c3Nsn68D3IoSEh0f/WEAhmI2mnrnY1dRp22bo2LoyIjg/5GCmQIbX/auhXWrj20z7N4MYwfD2++CffdB59/Dn17zd0tunAsWoQ/IQFnV9/GdQhSXC7sfr/sQd4HGSGHRPdXT2gNGSAuSrc+NTgcOOPiDNtpDaFp6/6lpZiM9D36xS9C7w/2kJBgMHS4x5Qpoeaw+fNDNzvJ+uIhcyxeTPOECYZ6LKXDev8yAwFAAjm6v3pkhIxSlGVnG3aEDKFAtnm95BjpRUOfPqGzpA9mHbmyEk46CW6+OTTSXrECpk7t8hKjkbWsDFt5uaG2O4EE8oFkBoMEgVoJ5OjWEu2BTPjErupqQzd2Acba/gShMF20CDrzYmbu3NDe4q+/hmeegXfeCV2tKLqEY/FiAMM1dGU3N+M2m6mLjdW7FEPKDAapVYpAlG/tk0AO/wBE615kCJ/YpWmGbexqSUigOjXVeIE8a1bofUcum/D5QlcknnBC6GCRxYvhyitlb3EXS1yyBG9aGu6BA/UuZTdtZ1jL97tdmcEgVQZaYtBL1Adya3iKJKpHyAZv7ALY1q8fA0pKUEZaRx45EgYOPPA68tatcNRR8MgjcPnloTA20IEVvYamhdaPJ040XPDlNDXJdPV+yKEgIVH/CMiUNTTubOwycCBv7dePWLebrOpqvUv5iVKhUfLnn0NLS/sf89ZboRua1q+Ht9+GZ5+FuLgeLTNa2DdvJqaujiYjbXcCLIEAGU6nBPJ+yDnWIVH/CLR1WUdxILc1dhmpaWoPhl5H9njgs892/32nEy67DM4+OzSSXrECzjhDlxKjxc71Y6M1dGW2tGDSNCrkUJD2aZqMkMOi/hFo67I20lSoDspzcgzd2NWYlER9UpLxAvnII0NNWbtOW69aFbqR6aWX4LbbYN48GDBAtxKjhWPxYty5uXjDSzBG0Uc6rPcrSdOwQdRfLAESyPiUwkN0T1lD6AhNIzd2QWiUPGD7dmMdcxoTE9rC9PHH4PfDP/4R2g7V0BDqqH7wwdDHiO7l95OwbJnhRsfw05YnORSkfXJK10/kESC6r2Dcqe0qRoOvIye0tobWY41k1iyorQ3tJb76ajjmmNDxl8ceq3dlUSO+qAiL02m47U4Quge5wW7HJS/M2iWB/BN5BIDWaL7xKazR4aAlLs7QndY715GZN0/fQvY0cyZYrbB8OTz2WGi0nJmpd1VRJXHJEoBQh7XBSIf1/kkg/0QeAXa58SmaKUW5wRu76lJSaEpICB0zaSSJiaH7kZcsgRtuAHli6XGORYtoHToUvwEPWcmRSyX2SwL5J/IIIFPWOxm9sQulQqPkefOMtY4McNxxMHq03lVEJeV2k7BqlSGnqxM8HhI9Hgnk/cgIBvEAjQbbO64HCWRCndbRPmUNxj+xC0LryJSXw5YtepciDCJh1SpMXq8hG7qyd3ZYy5anfWrb8iSBLIEMoRFytG97gsho7DLsOrLQjWPxYoJmM83jxuldyl7kUokDywwGZctTmDwKhEbIMmUNjYmJhm/sqk5Ph/R0460jC90kLl5M68iRBOPj9S5lLznNzfiVoiYhQe9SDEsOBfmJPApIILdRirKcHEPfjYxSMG2ajJAFAOaWFuKLigy5fgyhKeuqxEQCEjj7lBkISCCHyaNAeMpaAhkIXcWYYeTGLoDp06G4GIx2apfocQlLl6KCQUOuH4NseToQs6aRpmkSyGHyKBAaIVuBGAllyiOgsYtp00LvZdo66jkWLyZgs9FiwNuzVDBIVnOznGG9H2nBICZky9NO8igQ2ocMcnwmhDqtwdiNXRQWQnKyBLLAsXgxLWPHolmtepeyl/TWVqzBoIyQ96NtD7LchQxIIAO7XDAhgUxTYiIt8fHGDmSzOXSpg6wjRzVLTQ2xW7YYeroapMN6f3YGsnRZh8ijwE+BLI1dRMRVjEBoHXnjRjB6naLbOMLHZRq1oStH9iAfkJzStTt5FPjpTuR42YsM/NTYFWPkxi5ZR456iYsX409MpHX4cL1LaVd2UxPOmBia7Ha9SzEsGSHvTh4FfgpkmbIOaTuxq7JS71L2bfx4iI+XQI5ijiVLaJ4wIbSEYUBtZ1jLCVT7lBkM0qQULnmMAAlkQKas97TzxC4jHxCCxRK67lDWkaOStbQUW3m5YaerQbY8dYQcCrI7S3d80kAgQENDQ3d86m6xIxzEJqeTBre7x//+0tLSHv8790vTaI2JIXbbNkrD4WwkO3+2bJMnE3v//TRu2YKWmqpvUQbmM/LSw0FK+f57AOrHjevyr6+yC2aG7IEAaa2tbFKqSz6f0VUd5DbJZKDsEP7/3kZemgDN4fdyuF2YUlQ4HG0H4xuVf8oUACzffadzJaKnJS1Zgjc9HVf//nqX0q6+ra0AlBrwOE8jyQakLfMnEshAS/i9rCH/pNLhIKu5+cAfqKPA+PFodjvmb7/VuxTRk4JBkpYupXHCBMOuz+Y6nQCUxMXpXImxSSDvTgIZcAN+QDYn/KTS4SDN6cQSCOhdyr7ZbPgnTsSycKHelYgeFLdlCzENDTROnKh3KfuUGx4hl0sg71MskIQE8q4kkAGUohmZst5VpcOBSdPIMPooeepUzKtXQ2Oj3qWIHpIU3n9s9ECutNvxGLQD3Aiywu8lkH8igRzmRKasd7Xz/N2sCFhHVsEglh9+0LsU0UMcS5fiysvDm5V14A/WSV5rK6UyOt6v7PB7CeSfSCCHNSslI+RdVIa3a2QbfITsnzgRLSZGpq2jhd+PY/ny0PqxUWkauU6nBPIBSCDvTQI5rBlIlBFym1abjWabzfAjZOLiCIwbJ53WUSKhqAhLa6uhp6tTvF7iAwFp6DoACeS9SSCHOZE15D1VOhzGD2TAP3Uq5uXLIdzZKnqvnevHTePH61zJvuXJlqcOyQaCQLXehRiIBHKYTFnvrTIxMTICecoUlN+PZfFivUsR3Sxp6VKcQ4fiT07Wu5R92rnlSaas9y+bUBgbeB9Hj5NADmtBpqz3VOFwkNbaitXv17uU/fIfdhiaySTryL2cye0mcfVqQ09XQ6jD2mMyUSWXSuyX7EHemwRyWAsgE0y729nYlWnwxi4SEwmMGYNFDgjp1RJXr8bk80VEIJfFxaEZ9NASo5BA3psEclizUnIwyB52BnJETFtPnYp56VLQ4Sxy0TOSliwhaDbTNGaM3qXsl2x56hgJ5L1JIIe1EDo5xizT1m0iKpCnTEF5PKFQFr1S0pIltIwcSdDAYWcOBslxuSSQO0ACeW8SyGFt51nrWoWxuGNiaLTbDX/JBEDgiCPQlJJp617K3NxM/IYNhp+uznG5MGuabHk6gGTAhgTyniSQw1rC6z0ybb27igjZ+qQlJxMcOVICuZdyLFuGCgaNfSAIP215KpMtT/sle5DbJ4Ec1nYFo0xZ7yYSbn3ayT9lCpZFi6AX3v8b7ZKWLiVgt9MyapTepezXzmsXZYS8fxLI7ZNADts5ZS0j5N1VOhwku1zYIyDk/FOnolpbMa9YoXcpooslLVlC85gxaDExepeyX3lOJ/UxMbQYvE69SSC3TwI5bOeUtawh765t61METFv7jzgCQPYj9zIxNTXEFRcbfv0YQlue5ISuA5NAbp8EclhbU5dMWe+m7danCJi21jIyCAwfLuvIvUxSuHM+YgJZpqsPKBvwAA0612E0EshhO+NGpqx3V7Xz1qcIuW/Yf8QRWL7/HgJyIF9vkbRkCf7ERJxDhuhdyn7F+f2ker0SyB0gW57aJ4EctnPKWiabdue1WKiLi4uIETKE15GbmzGvWaN3KaIraBpJS5aEuqvNZr2r2a+88BnW0tB1YBLI7ZNADmtr6pIp671Eyq1PEOq0BllH7i3sZWXYKisNv90JQtPVIFueOkICuX0SyGFOQleByZT13iJlLzKA1qcPgYEDMcs6cq/gCF+3GCnrxwGlKI+N1bsUw5NAbp8E8k5KyQUT+1CZmIjD4yHO69W7lA7xT5kSauwKBvUuRRyipKVL8WRk4O7XT+9SDijP6aTCbsdvkqfV/TEDGUggt0d+cnYhVzC2L5LOtIbQOrKpvh7T+vV6lyIORTBI0tKlodFxBNycJB3WHZNBKHgkkPcmgbyLFqVkH3I7dgZyJJxpDRCQdeReIW7zZmIaGiJiulppGn1bWymR9eMDkj3I+yaBvItm5GCQ9lQnJhIkckbIwX79CPbti+W77/QuRRyCpPD6cVMENHSlezzYg0EZIXeABPK+SSDvwolMWbfHZzZTFx8fMYGMUqF15IULQb6fEStpyRJc/frhzczUu5QD2rnlSQL5wCSQ900CeRfNMmW9T5HUaQ3hdeSqKkybN+tdijgIyu/HsXJlRGx3gp+2PMmxmQe2M5Arda3CmCSQd9GCTFnvS9utTxEy4pT9yJEtYd06zK2tEbF+DKFAbjWbqbVa9S7F8LKBRsCldyEGJIG8ixbkLOt9qXQ4iPd6SfB49C6lQ4JDhhDMzJRzrSOUY+lSNKUiYv0YQlPWpXFxEdENrjfZg7xvEsi7aFZKDgbZh0jrtJZ15MiWtGQJzmHD8Id/7oyur2x56jAJ5H2TQN7FzoNBTPIEvpe2W58iJZAJTVubysowlZToXYroBJPbTeKaNREzXW0NBMhyu2XLUwdJIO+bBPIudp5nLf+s9laTmEhAqYgLZACzrCNHlMSVKzH5fBEzXd3H5cIElMkIuUMkkPdNAnkXO298kmnrvQVMJmoSEiLm1ieAYH4+wZQUWUeOMElLlhC0WGgaM0bvUjokV2556rBYIAkJ5H05YCArpexKqUVKqZVKqbVKqT/1RGF62Bk18TJl3a5IuvUJAJOJwBFHSKd1hElaupSWkSMJRsglDXk7tzxJIB9QVvi9BHL7OjJC9gDHaJo2BhgLzFRKHd6tVemk7QpGXaswrra9yBH0gsU/dSrmrVtR5eV6lyI6wNzURPyGDRGzfgyhLU/VNhtui0XvUgxPDgXZvwMGshayM6tiwm+R84zcCY3hKesBERQ4PWmHw0Gs38/hW7fqXUqH+Y88EgD7o4/K7U8RIOc//0FpGo2TJuldSockezyMrauThq4OOiL8Xl4et69Da8hKKbNSagVQBczVNO2Hdj7mCqXUEqXUEi1CA+0HpdgC3BoISKd1O74bPJj1WVlc8c03HFdUpHc5HRIoLMT9u99h+7//I+6KKyBCrpCMRlnvvUfeiy9SPWMGzYWFepdzQPE+Hw8vX47D5+NfgwbpXY7hjQIeAD4FVutci1F1KJA1TQtomjYWyAUmK6VGtfMxz2maNlHTtIkqQjfH+5TibouF0ZrG2TKa2os7JobHjjuO5Xl5nL9oEactW2b86WulcN93H66778b67rvEn302RFBjWrRI++wzBj72GHVTp7L5zjsNf8CGLRDg/hUr6Od08qcxY1iXnKx3SYYWB7xF6ISuX9NLp1i7QKe6rDVNawC+AmZ2SzUG8I7JxDKluMfvx2b0sNGBz2LhH0cfzddDh/KL1au5+LvvMBn9xYtSeK67jtannsIyfz4Js2ahamr0rkqEJS9cyJD77qNp7Fh+vP9+NIOvxVqCQe5atYr8xkYeGjWKJWlpepdkeE8AI4DzCU2zivZ1pMs6QymVHP7vWOB4oNfe/K4pxZ0WC/2AKwIBvcsxpKDJxMtHHMGHo0cz/ccfufrrr4nx+/Uu64C8552H89VXMa9fT8LMmZi2b9e7pKjnWL6c4XfcQevQoWz4858J2mx6l7RfJk3j1jVrmFxbyxP5+XyTlXXg/ynKnQVcDjwMfKFzLUbXkRFyDvCVUmoVsJjQGvLH3VuWvr40mZirFLcGAiTJKLl9SvH+uHG8MnkyY0tKuGnuXOIi4Jxr/8yZtLz/Pqq2loQTTsC0Zo3eJUWt+KIiht98M+4+fSh6/HECRm+M0jSuLSpielUVzw4dypy+ffWuyPAGAs8B3wJ361xLJOhIl/UqTdPGaZo2WtO0UZqm3dsThentTouFNOBGGSXv1xf5+TwzfTqDa2q4bc4cksOHJBhZ4LDDaPnkEzCZSDz5ZDnJSwdxmzaRf8MN+B0Oip54Ar/R12A1jcs3beKk8nJeGzCAd/r317siw4shtG4cAM4BjD+Hpj85qWsfVppMvGkycXUgQB8ZJe/X4gEDeOy440hvaeHO2bPJaWzUu6QDCubn0/zppwRzckg47TRi/vc/vUvqtcxOJ46lS+nzyisMu/12xp96KmN+/Ws0s5miJ5/Em5mpd4kHdE5xMWdu28aHubm8PHiw3uVEhAeBScClgCwOdYyxuyd0do/Fwq+8Xu7w+/ldTIze5RhaUU4OD8+cyQ2ff87ts2fz+LHHsjUjQ++y9kvLzaXlk0+IP/ts4n79a1yPP473wgv1LiuiKa+XuE2bSCgqCr2tW0fstm2o8Itad58+NBcWsuPMM6k9+mi8OTk6V3xgPy8t5ZLNm/k8O5t/DB9u+A5wIzgRuAn4B/C+zrVEEgnk/ShWimfNZq4KBHgyGGSDSSYU9mdbWhoPnHgiN82dy62ffcZTRx/NaoOvs2mpqbS8/z7xF19M3HXXoaqr8dx4ozzpdkQwiH37dhKKikhct46EdeuI27QJk88HgDclhZaCAmqPO46WggJaRoww/tT0Hn5WUcHv16/nu/R0Hi0oQJOfiwPKAf4FrARu1LmWSCOBfACPmM1cGAhwbyDAWRLIB1TlcPDASSdx49y5XPvFF7x45JF8Z/RDE+Ljcb72GnHXXEPsAw9gqqzE9fDDYDbrXZlxaBrW6moS1q1rG/nGr1+PJdwzEIiLo2X4cHaceSYt+fm05Ofjzc6O6Bc2h1dXc8vataxKSeG+wkIC8u//gEzAq4T2HZ9N6Nxl0XESyAdQoxSPm83cEwhweDDI9/KP8oAaY2N5aOZMrvnqK37zzTckulx8NnKk3mXtX0wMrU8/TTAjA/vf/46qraX1mWfA4Ntwuou5qYmE9etDAbxuHQnr12MN790Oms20Dh1KzYwZofAtKMDVv3+vegEzuq6OP65ezabERO4aMwZfL/rautNtwDHAxfTivbHdSAK5A540m/lNIMCDfj/HxMRE9Kv+nuKyWnn8uOO44ptvOHfJEpLcbv4zfryxHzulcN97L1pmJrF//COqthbnK6+Aw6F3Zd3K5PEQt3HjT6PfoiJiS0ra/tzVrx+NEyaEpp0LCnAOGYLWi1+oDGtq4r6VKymPjeX2sWNxGfygEqM4EvgT8Brwsr6lRCz5SeuAVqV4wGLhKb+fk4NB/ievljvEZzbz9LRpXPDDD5y8Zg1JLhf/N2WK4af+PFdfTTAjg7irrybhlFNwvv02WgR0AndIIEBccTHx4WnnhHXriNu8GVN4e583PZ2WggKqTj4ZZ34+LSNGEEiMnvvPYrdu5cHly2mMieHWceNoslr1LikipAKvA1uAK3WuJZJJIHfQyyYT1yjFfYEAc0wmAkYe6RmIZjLx78MPpzE2llNXriTB4+Hp6dPxGnzU4TvrLJypqcRfdBEJM2fifO89ggMG6F1W52gappIS0r74om30G79hA2aXCwB/QgIt+fmUn3ceLfn5OAsK8Bq8M7472XbsIP+662hRilvGj6fWbte7pMigabxE6K7jI/jpGlvRecZ+VjQQv1LcZTbzpt/P+cEg/5JRcscpxYdjx9IUG8sF33/PzZ99xhPHHovT4NOe/uOPp+XDD4k/6ywSTjgB5zvvEDDwLUSqpgbzsmWYly/HsnQp5mXLMNXW4gCCVivOoUOpOvnk0NRzfj7uvDww+GxFT4mpqaHgmmswu93cOn48O+Li9C4pYswqKWEWcB2wTOdaIp3qjqsSTSaTZu2NUz2axjyfj76aRqHViquLRslnn312l3yeSDBx2zZ+M38+VYmJPHb88dQdxHGJTzzxRNcXth+mjRtJ+NWvUE1NOF97Df9RR/Xo398upxPzypVYli0LhfCyZZi3bQNC57EHhw/HP2ECgXHj2JSaSuvgwWiyl75dlqYmCn73O+zl5az729+44e239S4pYgxuauLJxYv5VNM4Re9iIoimae2GhwRyJx0VDDLX5+MOs5nHumjaNZoCGWBERQXXfPklrpgYHj3+eHZ0cm9qTwcygCorI+H00zFt2ULrc8/hmzWr5/5ynw9zURHmpUvbRr+m9etR4Vu2gnl5+MePJzB+fCiER4+GXdZ9iyLk7mo9mFpbKbj2WuI3bmT9o4/SOGkSd911l95lRYRYv5+nFy3CHggwwuOhVu+CIsi+AlmmrDvpG5OJT0wmbg4EeMlspl7WkjttfXY2D8+cyY1z53LHnDn89Zhj2Gzwpimtb19aZs8Onep18cW4/vIXvJde2g1/kYZpyxbMy5aFRr9Ll2JevRrldgMQTEkhMH48vp//HP+4cQTGj+89DWc9THm9DL/tNhKKitj4wAM0Tpqkd0kR5eoNG8hpbeUPEyZQu3Sp3uX0ChLIB+GPZjOLg0FuDgS43eDNSUa1PTWV+086iZvmzuUPn33G00cfzcrcXL3L2i8tOZmW994j/tJLibvpJkxVVbhvvfWQtnKpioqfwnf58tC6b0ND6O+LjSUwZgyeSy4hMH48gQkTCPbvb+ytY5HC72foPfeQvHgxm+68k7rp0/WuKKIcV17OjB07+NegQaxKSdG7nF5D0uQgrDWZeNVk4qpAgGfMZkrkCfKgVCcm8sCJJ3LD559zzZdf8uLUqXxr9IP74+JwvvIKsddfj/3Pf0ZVVeF69NGOHYrR1IRlxYq2NV/L0qWYyssB0Mxmgvn5+GbNCk09jxtHMD8f5AVf1wsGGfzII6R9/TVbr72W6pNO0ruiiJLrdHLNhg2sTE7m9YED9S6nV5F/7QfpPouFM71e7vL7uVyaZQ5aU2wsD8+cye+/+oorFiwgyeVi9qhRepe1fxYLriefRMvIwP7Xv4ZO9XruOdh1m4zHg3ntWsxLl7aNfk0bN7ZdshAYOBD/EUcQmDAhNPU8ejRIZ2/30zT6//3vZP7vf5RccgkVZ52ld0URJSYQ4I7Vq/GaTDw8ahRBGYx0KQnkg1SiFE+bzVwXCPBEMMha2T5y0NwxMfz12GO5fMECzlq6FIfLxdsTJxr7IH+lcN91F8HMTOJuuw3T6afjOe+8n7qe16xBeb0ABDMyCIwfj/e000JTz+PGoaWm6vwFRKfc//s/+rz1FjvOOIPS7ugB6OUu37SJIS0t3DlmDDWyT7vLSSAfgr+YzVwcCHBfIMCvJJAPid9s5p/TptFkt3PiunUkud28OHWq4U/18l55JVp6OnFXXUX8woVoCQn4x47Fc+WVbaNfLTdX1n0NIPvtt8l74QWqTjqJ4muvle9JJx1RVcWpJSW8m5fHD1F8gEx3kkA+BPVK8RezmQcDAY4KBvnG4OFhdJpSvDZ5Mo2xsZy+fDkJHg9PTZ+O1+BLAr7TT6d50iRwuQgOHdqrLlnoLdJnz2bgE09QN20am2+9VQ5E6aQMt5ub1q1jY2IiLw4dqnc5vZb8VB6ip81mSoEH/H7ohj3dUUcpPh49mpeOOIJR5eXc8tlnJIS3/BhZsH9/giNGSBgbUMr8+Qx58EEaJk5k45/+JI1ynWQKBrl99WosmsYDhYX45MVMt5FH9hC5leI+i4XJmsYvwwc1iEM3f9gw/n700eTV13PH7NmktcgJuaLzHEuWMOyPf6RlxAg2PPxwr76lqrtcsHUroxobeSI/n3JpPOxWEshd4FWTiXXhiycsMkruMsv79ePR448nyeXijtmz6Vtfr3dJIoIkrF3LiFtuwZ2Xx/rHHiMoYdJpY+vqOHfrVubk5PBVdrbe5fR6EshdIKAUd5rNDNU0LpJRcpfamJXFgyeeiNI0bp8zh6GVlXqXJCJA7ObN5N9wA76UFNY98QT+Xn6ndXdI9nq5dc0aSuPi+MeIEXqXExUkkLvIJyYTC5XiTr+feBkld6nSlBQeOOkkmux2bp47F8vs2XqXJAzMVlZGwfXXE7TZWPfkk/jS0/UuKeIoTePmtWtJ9Pt5oLAQt/RG9AgJ5K6iFHdYLGQDvw9f9i66Tk1CAg+eeCKlycnEX3AB1ldf1bskYUAx1dUUXHstyutl3RNP4OnTR++SItJp27czubaWfw4dypZdLioR3UsCuQt9bzLxgcnEDYEA6TJK7nLNdjuPnHAC/unTifv977E9/rh0tos2lsZGCq67jpiGBooefxzXoEF6lxSRhjc2cummTXyTkcFHBj9fvreRQO5id5nNxAO3yii5W3hiYnC+8Qbe008n9r77iL39dpB1+6hncjoZceON2MvKWP/IIzgLCvQuKSLF+f3csWYNtTYbjxcUyOEpPUw25HWxjSYTL5tMXBEI8A+zma3yA931rFZan32WYEYG9meeQVVX0/r009BL7+AW+6c8HkbccgsJGzaw4cEHaZowQe+SIpOmcX1REZluNzdMmECLwQ/k6Y1khNwN7rdY8AN3+/16l9J7mUy4H3gA1913Y333XeLPPhuam/WuSvQ0v59hd91F0rJlbLrjDuqPOkrviiLWieXlHF1ZycuDBrEuOVnvcqKSBHI32KEUfzebOTsYZKxMp3YfpfBcdx2tTz2FZf58EmbNQtXU6F2V6CnBIEMefJDUb75hy403UjNzpt4VRaz+LS1ctWEDS1NTeWvAAL3LiVoSyN3kMbOZWuB+GSV3O+955+F89VXM69eTMHMmpu3b9S5JdDdNY8ATT5AxZw7bL7+cytNO07uiiGUNX6noslh4ZORIY9+y1stJIHeTJqV42GzmOE3jWBkldzv/zJm0vP8+qraWhBNOwLRmjd4liW6U++KL5LzzDuVnn03ZRRfpXU5E++3GjQx0Onlk5Ejq5WhRXUkgd6NnzWa2ERolK9me0+0Chx1GyyefgMlE4sknY164UO+SRDfIefNN8l56iaqf/5xtv/+9dAIfgmmVlfy8rIw3+/dnaVqa3uVEPaV1Q1DY7XYtLy+vyz9vJDqluZnHKiu5PiuLj/exwT4+Pr6Hq4psgw6wvzS9tZW7Fi4ks7WVxydNYlGUHw7R0NCgdwldZuaOHfxh/XrmZWRw38iRBLshjGtra7v8cxpRX6+XtzZuZKvdzsWDB+M/hMfS4/F0YWW9W3FxMW63u90HW0bI3eyjhASKrFZuqK0lRkbJPaImLo7bp02jOCmJm3/4geO2btW7JNEFjqqq4sb161mcksKDBQXdEsbRwqJpPLJtGxpwa79+hxTGoutIIHczTSn+kpZGnt/P2Y2NepcTNVpsNu4+8khWZGVx1YoVnL5+vZzqFcEm1NVxx7p1FDkc3C138h6yqysqKHS5uDc3lzLZv28Y8lPdA76Ji+Pb2FiurqsjQRq8eozHYuHhww/n67w8zi0q4rJVqzBJKEecgsZG7l29mpK4OG4fPVouOjhEU5qbubi6mv+kpjJX9hsbigRyT1CKR9PSSA0GuVTu9O1RAZOJv0+YwAdDhnDSli1cv3gxFjnWNGIMamnhoVWrqLXZ+MPYsXJ61CFK9/l4YPt2frTb+UuU91YYkQRyD1ltt/O/hAQuaWggXfYm9yhNKf5dWMi/Ro1ialkZd373HbE+n95liQPo29rKn1euxG02c/PYsdTL1OohMWkaD5SUEBsM8od+/fDItL/hyHekBz2emkqMpnF1XZ3epUSlD4cO5W8TJlBQU8O9CxaQ5HbrXZLYh3S3m7+sXIlJ07h5zBgq7Xa9S4p4F1dXc3hLC4/07csWeTwNSQK5B223WnkzKYmzmpoY4PXqXU5UmtevHw8dfjh9m5t5cP58spxOvUsSe3B4vfx55UoSfT5uGTOG7bIt8JCNdTq5qqKC2UlJvJ+Sonc5Yh8kkHvYP1JS8CjFDVGy19GIlmdnc8+RR5Lg9fLgvHkM6EX7dCNdnN/PI6tWkeN2c8fo0fy4j737ouMcfj8Pbd/ODquV+3Nz5SAVA5NA7mG1FgsvJidzotPJGJky1c3G1FRunzYNv8nE/d98w6jqar1LinrWQID7V69mcEsL94wcySrpAD50msY9paVk+Hzc0q8fLdKhbmgSyDp4KSWFGrOZm2tqZG+sjsocDm6fPp2a2Fj++O23HFFWpndJUcscDHL32rWMbmjg4fx8fkhP17ukXuHM2lqObWriyZwc1sbF6V2OOAAJZB04TSaeSknhMLeb6a2tepcT1WpjY7lz2jQ2Jydz46JFzJBTvXqc0jRuWb+eI2pr+duwYXyZlaV3Sb3CcJeLm3bsYH5iIq/IC5yIIIGsk7eTktgWE8NNtbVyWIXOWqxW7pk6laXZ2Vy5YgVnFRXJzEVP0TSu2biR4yoreX7QID7q21fvinqF2ECAR7Zvp9Fs5q68PLlSMUJIIOvEpxSPp6YywuvlJDksRHdei4VHDjuML/r146z167kivOVGdK9Ltm5lVnk5b/Trxxv9++tdTq9xW3k5/T0ebu/Xj3qLRe9yRAdJIOtodkICq202rqqowCpHauouaDLxj/HjeXfYMGZu3cqNixYRI6d6dZuztm/n/G3b+KhPH54/wA1eouNOrq9nVn09z2dmsjghQe9yRCdIIOtIU4o/p6XRx+fjrJoavcsRAErx2siRvFRYyBHl5dz57bfEyaleh07TSPZ6Gd7UxPSqKq7YtInfbN7Ml5mZ/G3YMNmK00X6eTzcUVbGsrg4npW1+Igjcxk6+z4ujoWJiVxWVcUHaWk0y7YEQ/h4yBAabTZ+v3Qp933zDfdPmUK9nG60T0rTSPF6yXa7yXa7ydrlbeev7XvMAi1IT+fh/Hy5RrGLxASDPLJ9Oz6luLVfPwLyuEYcCWQDeDInhzc2buSiqir+npOjdzki7Ju8PJqsVv7www88MG8e906dSkWUTgGaNI00j6ctXPcM3Sy3G+sea+6NMTFU2O1si4/nh7Q0Ku12Ku12Kux2Km02nHJRRJe6rqKCApeLa/r3p1LO/Y5IEsgGsCE2lk9SUjivupq30tKokn9MhrEyK4u7jzySO777jofmzeO+KVPY0guPHjQHg2TsJ3AzPR4sewRundVKpc3GpsREFqanUxEb+1Po2my4pZmox0xvbOT8mhpeS0tjXlKS3uWIg6S0bugktdvtWl5eXpd/3t4qPj6ePl4vH6xfz8cpKdwrj91+DdKhAahPczN3ffstiV4vjxx2GKsyM3u8hoPV0NBATDBI5i5hu2fgpns87LpYEgRqbTYqbbZQ0O7yvjL83ttLl1dqI+xY20yvl//8+CM7YmK4YMgQfDrc4uTxeHr874xUxcXFuN3udtcT5CWsQZRbrbydlsY5NTW8mpEht7EYTHliIrdNm8Yfv/2WO779lr9NnMi3ubl6l9XG6veT0dpKpstFRmtr6L/D79NbWkjf4zKTgFJUhwN3RUrKXoFbZbPhl+v5DM+saTxcUoJV07ilf39dwlh0HQlkA3khK4tZdXX8fscOrh84UO9yxB7qY2O586ijuO3777lh8WKSPB5mDx7cI3+33ecLha3TSYbLRabTGQrc8H8n7RG4PqWoiYujOi6ORWlpewVutdVKUJ68I97llZVMcDq5Iy+PbTab3uWIQySBbCANFgsvZ2by+4oKxjqdrJBr5wyn1WrlvqlTuX7xYi5ftYpkj4c38vMPbduOphHv8+02qt3zfeIeW688JhPV4cDd2qcP1XFxVIV/XRUXR4Pd3ta93CC3WfVKE1tauKKqiv+mpPBxL+xriEYSyAbzWno6Z9XUcF15ORcNGSL7Mw3Iazbzl8mT+c2KFZyxYQPJbjfPjh277xGnpuHwetsN2p1v8X7/bv+Ly2xuC9wNqal7BW6jzSY/G1EsJXylYonVyoN9+uhdjugiEsgG4zabeTY7mz+WlnJ0UxNfS8ekIQVNJp4ZN44Gu50zNmzA4fXy/tChoSnkPcI2s7UV+x4nfjljYqgKh+uajAyqY2N3C9wWq1UCV7RP07i3pITkQICrBw7E1Uub66KRBLIBfZCayvnV1VyzYwffOByywd+olOKNggIabTYuWbWKw3bsaPujJquV6rg4yhITWZGZSVV8PNWxsVTHx1MVG0urbG0TB+n8mhqmNTfzUJ8+bIiN1bsc0YUkkA0ooBRP5uTw1+JiTqmr4/20NL1LEvvxyeDBbExNJcnjaRvlyh5c0R0KWlu5rqKCLx0O3pTnhV5HnjUM6iuHg5Vxcfy2ooLZKSm4pSPW0DZJU43oZvHhKxVrLBbuzs2VJY1eSJ7ljUop/paTQ6bfzznV1XpXI4TQk6ZxZ1kZfbxebuvXjyaZgemVJJANbFlCAvMcDi6pqiJpjy5cIUT0+GV9PSc1NPBMVhbLZTtkryWBbHBPZmcTFwxyaVWV3qUIIXQwqrWV28vK+D4hgZci6MhW0XkSyAa3OTaWj1JSOLumhpw9TmMSQvRu6T4ffy0upsZi4ZZ+/eSqyl5OAjkCPJOdTRC4qqJC71KEED0kJhjk8W3bSAwEuHbAABpk3bjXk0COAJVWK2+kp3NyfT3DXC69yxFCdLdwE9eY1lbu6NePH2W/cVSQQI4QL2Vm0mI2c80uh08IIXqnc2pr+WV9Pc9lZvKFnNYXNTocyEops1JquVLq4+4sSLSv2WLhxcxMjmxuZmJLi97lCCG6yeSWFm4qL+frxESezsrSuxzRgzozQr4WKOquQsSBvZmeTkVMDNeVl4Om6V2OEKKL9fV6+cu2bWyz2bi9Xz80aeKKKh0KZKVULnAy8EL3liP2x2My8XR2NmZCt70IIXqXwtZWgsB1AwbglEsjok5H2/aeAP4AJO7rA5RSVwBXAFikG7DbfJSSwkcpKfLKWYheaE5yMvMTE2mVMI5KBxwhK6V+DlRpmrZ0fx+nadpzmqZN1DRtoll+mLqNppSEsRC9mIRx9OrIlPVU4BSlVDHwJnCMUurVbq1KCCGEiDIHDGRN027TNC1X07QBwNnAl5qmnd/tlQkhhBBRRPYhCyGEEAbQqe4rTdO+Br7ulkqEEEKIKCYjZCGEEMIAJJCFEEIIA5BAFkIIIQxAAlkIIYQwAAlkIYQQwgAkkIUQQggDkEAWQgghDEACWQghhDAACWQhhBDCACSQhRBCCAOQQBZCCCEMQAJZCCGEMAAJZCGEEMIAJJCFEEIIA5BAFkIIIQxAAlkIIYQwAAlkIYQQwgAkkIUQQggDkEAWQgghDEACWQghhDAACWQhhBDCACSQhRBCCAOQQBZCCCEMQAJZCCGEMAAJZCGEEMIAJJCFEEIIA5BAFkIIIQxAAlkIIYQwAAlkIYQQwgAkkIUQQggDkEAWQgghDEACWQghhDAApWla139SpaqBbV3+iQ9dOlCjdxERRB6vzpHHq3Pk8eocebw6x6iPV39N0zLa+4NuCWSjUkot0TRtot51RAp5vDpHHq/Okcerc+Tx6pxIfLxkyloIIYQwAAlkIYQQwgCiLZCf07uACCOPV+fI49U58nh1jjxenRNxj1dUrSELIYQQRhVtI2QhhBDCkCSQhRBCCAOIikBWSs1USm1QSm1SSt2qdz1Gp5R6SSlVpZRao3ctRqeUylNKfaWUWqeUWquUulbvmoxOKWVXSi1SSq0MP2Z/0rsmo1NKmZVSy5VSH+tdSyRQShUrpVYrpVYopZboXU9H9fo1ZKWUGdgIHA+UAouBczRNW6drYQamlJoGtAD/1jRtlN71GJlSKgfI0TRtmVIqEVgK/FJ+vvZNKaWAeE3TWpRSMcAC4FpN077XuTTDUkrdAEwEHJqm/VzveoxOKVUMTNQ0zYgHg+xTNIyQJwObNE3bommaF3gTmKVzTYamadp8oE7vOiKBpmk7NE1bFv7vZqAI6KtvVcamhbSEfxkTfuvdI4NDoJTKBU4GXtC7FtG9oiGQ+wIlu/y6FHnCFN1AKTUAGAf8oHMphheegl0BVAFzNU2Tx2zfngD+AAR1riOSaMBnSqmlSqkr9C6mo6IhkIXodkqpBOBd4DpN05r0rsfoNE0LaJo2FsgFJiulZGmkHUqpnwNVmqYt1buWCHOkpmnjgROB34WX4QwvGgK5DMjb5de54d8TokuE10HfBV7TNO09veuJJJqmNQBfATN1LsWopgKnhNdE3wSOUUq9qm9JxqdpWln4fRXwPqGlS8OLhkBeDAxVSg1USlmBs4H/6lyT6CXCDUovAkWapj2udz2RQCmVoZRKDv93LKGGy/W6FmVQmqbdpmlarqZpAwg9d32padr5OpdlaEqp+HCDJUqpeGAGEBE7Rnp9IGua5geuBj4l1HDztqZpa/WtytiUUm8A3wHDlVKlSqlL9a7JwKYCFxAauawIv52kd1EGlwN8pZRaRegF81xN02Q7j+gqWcACpdRKYBHwP03T5uhcU4f0+m1PQgghRCTo9SNkIYQQIhJIIAshhBAGIIEshBBCGIAEshBCCGEAEshCCCGEAUggCyGEEAYggSyEEEIYwP8DJqVM/yDfijgAAAAASUVORK5CYII= +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-3">Estrella 3<a class="anchor-link" href="#Estrella-3">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [86]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_3r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_3r</span> <span class="o">=</span> <span class="n">str_3r</span><span class="p">[</span><span class="mi">309</span><span class="p">:</span><span class="mi">324</span><span class="p">,</span><span class="mi">619</span><span class="p">:</span><span class="mi">636</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_3r</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Reds'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">11</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">9</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_3r</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xir</span><span class="p">,</span><span class="n">FWHM_yir</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_3r</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-4">Estrella 4<a class="anchor-link" href="#Estrella-4">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [87]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_4r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_4r</span> <span class="o">=</span> <span class="n">str_4r</span><span class="p">[</span><span class="mi">18</span><span class="p">:</span><span class="mi">23</span><span class="p">,</span><span class="mi">607</span><span class="p">:</span><span class="mi">612</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_4r</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Reds'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">12</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.9</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_4r</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xir</span><span class="p">,</span><span class="n">FWHM_yir</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_4r</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-5">Estrella 5<a class="anchor-link" href="#Estrella-5">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [88]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_5r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_5r</span> <span class="o">=</span> <span class="n">str_5r</span><span class="p">[</span><span class="mi">347</span><span class="p">:</span><span class="mi">356</span><span class="p">,</span><span class="mi">542</span><span class="p">:</span><span class="mi">552</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_5r</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Reds'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">15</span><span class="p">,</span> <span class="mf">3.4</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_5r</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xir</span><span class="p">,</span><span class="n">FWHM_yir</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_5r</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-6">Estrella 6<a class="anchor-link" href="#Estrella-6">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [89]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_6r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_6r</span> <span class="o">=</span> <span class="n">str_6r</span><span class="p">[</span><span class="mi">295</span><span class="p">:</span><span class="mi">300</span><span class="p">,</span><span class="mi">307</span><span class="p">:</span><span class="mi">312</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_6r</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Reds'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mf">3.3</span><span class="p">,</span> <span class="mf">5.9</span><span class="p">,</span> <span class="mf">0.78</span><span class="p">,</span> <span class="mf">1.7</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_6r</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xir</span><span class="p">,</span><span class="n">FWHM_yir</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_6r</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-7">Estrella 7<a class="anchor-link" href="#Estrella-7">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [90]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_7r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_7r</span> <span class="o">=</span> <span class="n">str_7r</span><span class="p">[</span><span class="mi">142</span><span class="p">:</span><span class="mi">154</span><span class="p">,</span><span class="mi">387</span><span class="p">:</span><span class="mi">399</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_7r</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Reds'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">14</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_7r</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xir</span><span class="p">,</span><span class="n">FWHM_yir</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_7r</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-8">Estrella 8<a class="anchor-link" href="#Estrella-8">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [91]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_8r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_8r</span> <span class="o">=</span> <span class="n">str_8r</span><span class="p">[</span><span class="mi">459</span><span class="p">:</span><span class="mi">465</span><span class="p">,</span><span class="mi">322</span><span class="p">:</span><span class="mi">327</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_8r</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Reds'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">11</span><span class="p">,</span> <span class="mf">3.43</span><span class="p">,</span> <span class="mf">6.4</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_8r</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xir</span><span class="p">,</span><span class="n">FWHM_yir</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_8r</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-9">Estrella 9<a class="anchor-link" href="#Estrella-9">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [92]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_9r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_9r</span> <span class="o">=</span> <span class="n">str_9r</span><span class="p">[</span><span class="mi">277</span><span class="p">:</span><span class="mi">284</span><span class="p">,</span><span class="mi">1071</span><span class="p">:</span><span class="mi">1076</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_9r</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Reds'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">13</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_9r</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xir</span><span class="p">,</span><span class="n">FWHM_yir</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_9r</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-10">Estrella 10<a class="anchor-link" href="#Estrella-10">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [93]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_10r</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_10r</span> <span class="o">=</span> <span class="n">str_10r</span><span class="p">[</span><span class="mi">43</span><span class="p">:</span><span class="mi">49</span><span class="p">,</span><span class="mi">883</span><span class="p">:</span><span class="mi">889</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_10r</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Reds'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">700</span><span class="p">,</span> <span class="mf">3.4</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_10r</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xir</span><span class="p">,</span><span class="n">FWHM_yir</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_10r</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h2 id="Los-valores-para-el-Full-Width-at-Half-Maximum-(FHWM)">Los valores para el Full Width at Half Maximum (FHWM)<a class="anchor-link" href="#Los-valores-para-el-Full-Width-at-Half-Maximum-(FHWM)">¶</a></h2><p>Considere el valor en dirección x & en dirección y. Saque la desviación estándar, el promedio, la mediana y el histograma</p> + +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [94]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xir</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_xir</span><span class="p">))</span> +<span class="nb">print</span><span class="p">(</span><span class="n">FWHM_xir</span><span class="p">)</span> +<span class="n">stdxir</span> <span class="o">=</span> <span class="n">FWHM_xir</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">stdxir</span><span class="p">)</span> +<span class="n">meanxir</span> <span class="o">=</span> <span class="n">FWHM_xir</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">meanxir</span><span class="p">)</span> +<span class="n">medianxir</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_xir</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">medianxir</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_xir</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección x para la image roja'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Valor FHWM'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'No de imagénes con ese valor'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> +<pre>[2.14842142 2.30506295 5.5142339 1.72950246 2.50843131 2.50290019 + 4.66146595 2.89684851 3.00258943 2.56531965] +1.1220401417419346 +2.9834775770762554 +2.536875478494914 +</pre> +</div> +</div> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [95]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_yir</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_yir</span><span class="p">))</span> +<span class="nb">print</span><span class="p">(</span><span class="n">FWHM_yir</span><span class="p">)</span> +<span class="n">stdyir</span> <span class="o">=</span> <span class="n">FWHM_yir</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">stdyir</span><span class="p">)</span> +<span class="n">meanyir</span> <span class="o">=</span> <span class="n">FWHM_yir</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">meanyir</span><span class="p">)</span> +<span class="n">medianyir</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_yir</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">medianyir</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_yir</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección y para la image roja'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Valor FHWM'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'No de imagénes con ese valor'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> +<pre>[2.35625354 2.5658509 5.16479204 2.28766176 2.92976514 2.03093264 + 5.33874947 2.09118186 2.16308877 2.33888428] +1.1882827213448535 +2.9267160396079794 +2.347568909171641 +</pre> +</div> +</div> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h2 id="Canal-verde">Canal verde<a class="anchor-link" href="#Canal-verde">¶</a></h2> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [96]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xig</span> <span class="o">=</span> <span class="p">[]</span> +<span class="n">FWHM_yig</span> <span class="o">=</span> <span class="p">[]</span> +</pre></div> + + </div> +</div> +</div> +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-1">Estrella 1<a class="anchor-link" href="#Estrella-1">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [97]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_1g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_1g</span> <span class="o">=</span> <span class="n">str_1g</span><span class="p">[</span><span class="mi">283</span><span class="p">:</span><span class="mi">288</span><span class="p">,</span><span class="mi">890</span><span class="p">:</span><span class="mi">895</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_1g</span><span class="p">,</span> <span class="n">cmap</span> <span class="o">=</span><span class="s1">'Greens'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">71</span><span class="p">,</span> <span class="mf">1.5</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_1g</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xig</span><span class="p">,</span><span class="n">FWHM_yig</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_1g</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-2">Estrella 2<a class="anchor-link" href="#Estrella-2">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [98]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_2g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_2g</span> <span class="o">=</span> <span class="n">str_2g</span><span class="p">[</span><span class="mi">252</span><span class="p">:</span><span class="mi">257</span><span class="p">,</span><span class="mi">949</span><span class="p">:</span><span class="mi">955</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_2g</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Greens'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">22</span><span class="p">,</span> <span class="mf">1.3</span><span class="p">,</span> <span class="mf">2.5</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_2g</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xig</span><span class="p">,</span><span class="n">FWHM_yig</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_2g</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-3">Estrella 3<a class="anchor-link" href="#Estrella-3">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [99]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_3g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_3g</span> <span class="o">=</span> <span class="n">str_3g</span><span class="p">[</span><span class="mi">309</span><span class="p">:</span><span class="mi">324</span><span class="p">,</span><span class="mi">619</span><span class="p">:</span><span class="mi">636</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_3g</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Greens'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">50</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_3g</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xig</span><span class="p">,</span><span class="n">FWHM_yig</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_3g</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img src="data:image/png;base64,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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-4">Estrella 4<a class="anchor-link" href="#Estrella-4">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [100]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_4g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_4g</span> <span class="o">=</span> <span class="n">str_4g</span><span class="p">[</span><span class="mi">18</span><span class="p">:</span><span class="mi">23</span><span class="p">,</span><span class="mi">607</span><span class="p">:</span><span class="mi">612</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_4g</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Greens'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">14</span><span class="p">,</span> <span class="mf">3.4</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.9</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_4g</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xig</span><span class="p">,</span><span class="n">FWHM_yig</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_4g</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-5">Estrella 5<a class="anchor-link" href="#Estrella-5">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [101]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_5g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_5g</span> <span class="o">=</span> <span class="n">str_5g</span><span class="p">[</span><span class="mi">347</span><span class="p">:</span><span class="mi">356</span><span class="p">,</span><span class="mi">542</span><span class="p">:</span><span class="mi">552</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_5g</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Greens'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">17</span><span class="p">,</span> <span class="mf">3.4</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_5g</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xig</span><span class="p">,</span><span class="n">FWHM_yig</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_5g</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-6">Estrella 6<a class="anchor-link" href="#Estrella-6">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [102]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_6g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_6g</span> <span class="o">=</span> <span class="n">str_6g</span><span class="p">[</span><span class="mi">295</span><span class="p">:</span><span class="mi">300</span><span class="p">,</span><span class="mi">307</span><span class="p">:</span><span class="mi">312</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_6g</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Greens'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">32</span><span class="p">,</span> <span class="mf">3.5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.78</span><span class="p">,</span> <span class="mf">1.7</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_6g</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xig</span><span class="p">,</span><span class="n">FWHM_yig</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_6g</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img src="data:image/png;base64,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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-7">Estrella 7<a class="anchor-link" href="#Estrella-7">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [103]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_7g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_7g</span> <span class="o">=</span> <span class="n">str_7g</span><span class="p">[</span><span class="mi">142</span><span class="p">:</span><span class="mi">154</span><span class="p">,</span><span class="mi">387</span><span class="p">:</span><span class="mi">399</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_7g</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Greens'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">11</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_7g</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xig</span><span class="p">,</span><span class="n">FWHM_yig</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_7g</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-8">Estrella 8<a class="anchor-link" href="#Estrella-8">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [104]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_8g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_8g</span> <span class="o">=</span> <span class="n">str_8g</span><span class="p">[</span><span class="mi">459</span><span class="p">:</span><span class="mi">465</span><span class="p">,</span><span class="mi">322</span><span class="p">:</span><span class="mi">327</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_8g</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Greens'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">16</span><span class="p">,</span> <span class="mf">3.43</span><span class="p">,</span> <span class="mf">6.4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_8g</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xig</span><span class="p">,</span><span class="n">FWHM_yig</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_8g</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-9">Estrella 9<a class="anchor-link" href="#Estrella-9">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [105]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_9g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_9g</span> <span class="o">=</span> <span class="n">str_9g</span><span class="p">[</span><span class="mi">277</span><span class="p">:</span><span class="mi">284</span><span class="p">,</span><span class="mi">1071</span><span class="p">:</span><span class="mi">1076</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_9g</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Greens'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_9g</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xig</span><span class="p">,</span><span class="n">FWHM_yig</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_9g</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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WyZM4dPHniAppN8PC8tFrafdx4fPvwwzZGRnPuvfzHr1Vfx99HNwB1+fjw9YwYOq5X7V60ixG7XuyTD8813j0Fctn49/WpreX3WLBpDQvQux/OkZNTKlSz4y1/wb2/ns3vvJXv+fNyncdtOXb9+LHroIXIuvJBBOTlc8dhjJOfmerBo46gNCeHv06cT29LC3VlZWNxuvUsyNBVWXjJ+/34y8/NZNm4c+d+bXPYFgU1NzHn+eaa8/z7FI0aw8Ne/5rCHLp1wW61svvBCFj30EO0hIZz/3HNkvvUWtrY2j7y+keyNi+O1SZMYVV7O1Vu26F2OoakJdi+IbWzk2tWrKYyP55MeztuYSb+CAma+9hoBLS2svfJK8mbM8MpSjOqUFD56+GEyPvuMsV9+SdKuXay+/npKfewmnjVDhpBcX8+cggJKIiNZPWSI3iUZkupZeZjV5eLm5cuRwCuzZ5/WkMhoLC4Xkz7+mAv+/nc6goL4+KGHyPPymjG3zcamBQtY/OCDuGw2LnzmGaa8+y5+PjbH8+748eT27csNmzYxrLJS73IMSYWVh83fuJEBVVW8NWMGtTpciuotYVVVXPTEE6QvW0bBlCl89PDD1CYladZ+5aBBfPirX7Fj1ixGrlnDZX/4Awn79mnWvre5LRb+OXUqVSEh3Lt6NTE++mDhdKiw8qBRBw9y9o4drBo5km2DBuldjscMzs7msj/+kciKCpbfeitrrr0Wpw4bsJ3+/my44go+/dnPEFJy0ZNPcubChVh95DTO1oAAnp4xAz+3m/tWrSJAbcn5DhVWHhLZ3MyPv/6a4pgYPpw8We9yPMKvvZ0Zb7zB2a+8Qm1iIgsfeYTCCRP0LouyoUP54JFHyJ82jbFffcWljz9OnAdvXtZTWUQEz02dSkpdHbetX+/zK/pPhgorD7C43dy4YgV+Ticvn3MOTh+47y/20CEuffxxhn3zDZvPP59Pfv5zmmNi9C7rW87AQNZecw2f//Sn2Ox25j/xBBMXL8biA72RHf368d/x45l06BAX++iyjVNh/neVAZy/eTPDysp4bdYsKiMj9S7n9LjdjF65kjM+/pi2sDA+ve8+yoYP17uqYyoZMYIPfv1rzvrgA8YvXUr/HTtYeeONms6necOStDSS6+q4bMcOSiIj2eyDy19OlupZnabhpaXM3byZ9cOHs2nYML3LOS2BjY3Mfe45zlq4kEOjRrHwkUcMHVTdOoKDWfXjH/PFT35CUFMTl/zpT6QvWYIw80UNQvDqmWeyLzaWO9avJ7muTu+KdKfC6jSEtbVx44oVVERG8t+pU/Uu57T0y8/n8j/8gcTdu8m66iq+vOMO7Ca7w/DgmDG8/+ijFKWnM+mTT5j/17+SeJwzvY3OYbXyTGYmrTYb969aRVh7u94l6UqF1SkSUvLjlSsJttt55Zxz6DDpLcpWl4sFGzZw4bPP0h4SwscPP0y+lxZ5asEeGsqKW25h+a23ElZdze+XLOH8/HyESbeyNAQH88z06US0t/PTNWuwmrm3eJpUWJ2is7dtY2RxMR+cdRalBpp4PhlxDQ08sGgR527fTl5mJh8//DC1PnJcSeGECXzwm9+wo18/rt6yhV8tX06fpia9yzolRbGxvHzmmaRWVnJ9dnavfUKoJthPwcCKCi7OzmbzoEFkjRihdzmnZNKePVydlYVbCP517rlwySV6l+RxbeHh/D0zkylFRVyXnc3jn33Ge+PHs2LYMKTJeo4bBg4kub6eeXl5HIqKYoUJ5hI97YRhJYRIBt4E4um8Cu0lKeXfvV2YUQXb7dy8fDl1ISG8Y8JrtAI6Orhq7VrO3LOHfQkJvDp7NnVhYYzTuzBvEYJ1gwaRn5DAzd98w4+zs8koLubfZ55Jjcnm5D4YO5ak+nquy8mhLCKCpXoXpLGeDAOdwM+llCOAM4G7hBDm7E6cLim5dtUqIltbefnss2kz2TVaKZWV/N/ChUzau5fPMjJ4+qKLqPPhEzmPVBcczN9mzuSVM85gUHU1f/r8c6bv3WuqIZW0WHh+yhTKwsO5e80aBvSy+asThpWUskxKuaXr503ALsA3JjZO0rT8fNKLivj4jDM4GB+vdzknZWp+Pr9YtAg/t5unL7qIzzMycPvoYYDHJASrhg7l/y68kKLoaG7ZuJEHvv6aQBNt12n39+fpGTMQwNtNTQSZKGxP10l9tQohBgDpwMaj/N5tQogcIUSO9NG/wGn5+RT16cNKk12jFdLezhXr1rG3b1/+eNll7OvbV++SdFUdGsqfzz6bNzMyGFVWxp3r1iFM9DVbGRbGS2edRarLxbkmCtrT1eOwEkKEAh8C90kpG7//+1LKl6SUGVLKDGGyeZye8JOShLo69vbta7rJ2TN378bmcvHBWWfRGhiodzmGIIVgeWoqb2dkML60lEu2b9e7pJOyPTGRBiGY6XDoXYpmevQ0UAhhozOo3pFSfuTdkoxpqNuNze2mxGTLFISUZOblsS8hgcMmq10LXw0bRkpdHfN37qQ4KopN/fvrXVKPuC0WVttszHI4OufdTPYN9FScsGclOrtJrwC7pJRPeb8kYxrVtajQbGuqUktK6NPYyOqRI/UuxZiE4M2JE9kTF8dt69eTYqJtLV/bbCS63QzvJRPtPRkGTgGuA2YJIbZ1/Tjfy3UZzii3G6fFQrnJNipn5uXRFBjoU+dreZrTauXZzExaAgK4b9UqQk2yrWVl166JWb1kKNiTp4FrpZRCSjlGSjmu68cSLYozklEuF2VRUaY6pjiquZkxBw+yLi0Np4nq1kNDUBDPZGYS0dbGPVlZWE2wPafUamWP1dpr5q162bPrUzfK7TbdEHBqfj5ISVZamt6lmEJRbCyvnnkmIyoquGbzZr3L6ZGVNhuTHQ4CTfQ081SpsOqBGLebvlKaanLd6nIxZdcudvbv71NnwXvbukGDWJKWxrm7d3cuGjW4r202goDJvaB3pcKqB8w4uT62qIiItjbWmHTvop7+m57Ojr59uSE7m6FVVXqXc1zrbTba6R3zViqsesCMYTU9L4/qsDDyk5P1LsV03BYLz02dSnVICD9dvZooA9800yYE39hsvWLeSoVVD4x0uSgXgqagIL1L6ZGE2lqGlZWRNWIE0kBbahJ372bKe++RvHOn3qWcUGtAAE9Pn06A08l9q1djM/DZ7l/bbKS6XCT6+BIG43wlG9got5s8A73pTyQzPx+HxcJ6A91cbGtvZ+brrzNq1SrO+de/iC4p0bukEzocGckLU6YwqLaWmzZuNOym5+4lDL7euzLPO1AnVilJc7vJNUlYBTgcnLlnD1sGD6bZQD3BiYsXE1Jfz/Jbb8UeEsLcf/6TYBMswNyanMzCsWOZWlTE3F279C7nqHZZrZT1gq035ngH6mio200AkGeSdUoT9+4lqKODNQZasR5fWMioVavIy8ykcMIElt59N/5tbcx5/nn8TLAAc/GoUWxKSeGqrVsZffiw3uX8kBB87e/PdIcDi0F7f56gwuoEuifXTdGz6toHWBwTQ6FBjrCxOBxMf/NNmiMj2bRgAQC1SUl8dcstxJSUcPYrrxj/fHQheGnyZEoiIrhr7VriG3+wj193X9tsREnJOAPPrZ0uE7wD9TXK7aYD2GuCsBpYUUFyTU1nr8ogG1vHf/EFUeXlZF1zDY4jTnwoHj2adVdeSf/cXCZ/8IGOFfaM3WbjmRkzcAP3r15tuDOwVtlsuPHtJQzGfwfqbJTLRYHFgsMgb/7jmZ6XR5vNRvbQoXqXAkBUaSnjvviCvZMmUTx69A9+P3/GDHbMns3or79m1MqVOlR4cqpCQ/lnZiYJjY2GOwOrzmJhm49vvVFhdQJmeRIY0tbG+P372ThsGHYDXAsm3G6mv/UWHUFBrL/iimN+3DeXXkrR2LFM/uAD+u/YoWGFpyY/IYF3Jkww5BlYK/39meB0Em70YfUpMv67UEfRbjeJUpJrgsn1swoKsLndhplYH7VyJfEHDrD+iitoP87FDNJiYeVNN1GTnMzsl18m9tAhDas8NcuHD2f14MHM37mTiQcP6l3Ot7622fADMn20d6XC6ji6J9eN3rMSUpKZn8+evn0pi47WuxzCqquZ+MknHBw1in0TJ57w450BAXxx1120h4Qw57nnCKmt1aDK0yAEr0+axN7YWG430NXum/38aBTCZ+etjP0u1JlZngSOKC4mtqnJGL0qKcl8+22kEKy95poeT/S3RkTwxd13Y7Pbmfvcc9gMvqTBabXy98xMWvz9ud8gZ2A5hWBN99YbA82neYqx34U6G+VyUSEE1QYPq8y8PBqCgtg2cKDepTBswwaSCgrYuGABzSfZy6vt14/lt95KVFkZZ//73wiDbx9pCA7m79OnG+oMrK9tNpLdboYYoBZPM/a7UGcj3W52GjyoopuaGHXwIOvT0nDpPLcW1NjI5IULKRsyhPzMzFN6jZKRI1l79dWk5OUx5f33Dd9DKDziDKyLc3P1Lud/p4cabGmFJxj7naij7m02Rg+rqfn5IIQhDtib8t572Do6WHPttXAaf2+7pk1j2znnMHL1akabYEnDukGD2JiSwpyCAoLtdl1rKbZa2Wex+OQSBmO/E3U0xO0mENhp4CeBfi4XUwoKyO3fX/eblQds28bgLVvYfP751CcknPbrbVywgML0dCYvXEj/bdtOv0Av+2T0aIIcDs7dvVvvUljp788Uh4MAg/dKT5YKq2MY3TXmN3LPalxhIeFtbbrfXOPf2srUd9+lpl8/tp93nmde1GLh6xtvpLJ/f2a/+iqxBloicDSHoqLY2q8f5xYUEKBzr+Zrm41g4Awf610Z952os5Fd22z2GDisMvPzqQwPpyApSdc6zvzoI4IaG1l1/fUevVDD6e/Psp/8hPbQUOY89xyhBl/SsHjUKMI6Opit83HI62w2OvC9rTc9uuT0ZEkpses8dj9dIxwOCoSg+YiJygQPDG88pU9FBUPLyvjynHOI98B18Lfffvup/cFVq2DtWnjgAS59/PHTruOoLrgAzjqLH/3nP7BuHZzEmfIRERHeqekYKkpKmF9YiPXee3H7+3u1rTVr1hzz93JaWpjtcvFESIhXa/C0pqamY/6ecbsNOhstJbkG3g+YkZOD02plW3q6fkW0tcGtt8LgwfC733mvnREjYOFCKCiAyy8HA/cY8ubPJ6i+nkGrVulax+qgINIcDvr40CkMKqyOIlpKksCwYeVvtzNm+3Z2jhpFW3CwfoX89rewbx+89BJ4u46zz4YXX4Qvv4R77jHskobKkSOpHjqUtE8/RegYFGu6TrjINMBiVU9RYXUUo7veCEYNq9E7dhDQ0UFORoZ+RWzeDH/7G9x8M8yapU2bN98MDz8M//oXPPmkNm2eLCHInz+fkOpqBqxbp1sZu2w2Ki0WFVa+rjusdhgxrKRkYnY2ZQkJlOo1se5wdAZHnz7wxBPatv2HP8AVV8CDD8KHH2rbdg8dTk+nrn9/0hYv1u1gQSkEWYGBTGtv95nTQ1VYHcVoKakAKg0YVsnFxcRXVpI9caJ+B+z97W+wfTs8/zxERWnbtsUCr78OkyfDtdfCxo3att8TQpB/8cWEl5WRpGN9a4KCiHa7GeUjq9lVWB2FkSfXM7KzaQ8IYOdRDrPTxO7dnZPpl14KXccUay4oCBYvhsREuOgiOHBAnzqOo+SMM2hMTGTE4sW6za9ldc1bTfeRoaAKq++xSslIg4ZVcHMzI/Py2D5uHA4vPxY/Kre78+lfUBD885/at3+kuDj4/HPo6Ohc2lBfr2893yMtFnZddBFRBw+SuHWrLjXUWK3k2mw+M2+lwup7hgKBGHO+Kn3rVqxut34T6y+9BFlZnZPbRlhzlpoKH30Ee/bAZZcZbknDgSlTaImNZcSiRbr1rlYHBTHebifMB05hUGH1Pd3bbIzWsxJuNxk5ORQNGEB1XJz2BZSUwC9+AbNnw403at/+scycCf/+N6xYAXfeaaglDdLPj13z5hG7dy998vJ0qWFNYCB+wFk+0LtSYfU9o6XEARQYLKyG7NtHZEMDOT04edPjpOwMAqezs3dlsL8bbrgBHnkEXnkF/vIXvav5jsIZM2iLjGTkokW6tL8lIIBmIXxiKKjC6nvGSEmBEIa7zSYjO5um0FAK9LgS/r//hc8+61w2MGiQ9u33xGOPwdVXd67Dev99vav5ltvfn4ILLiA+L48YHfYMOoRgfWAg09vaDNXrPBUqrL5nlJSGm6+KrKtj6N69bBk/3qMbhXukpgZ++lOYOBHuvVfbtk+GEPDqqzBlClx/PWzYoHdF39p/9tnYQ0M75650sCYwkGSXi4Em33qjwuoIUVKSDOw0WFhNyMlBCsHmCRO0b/z++6GuDl5+GQx8thcAgYGwaBEkJXUuaSgs1LsiAJyBgeyZM4d+W7YQqcNRN6t9ZAmDCqsjGHHlutXpJH3rVnYPH06TxicI8MUX8NZb8NBDMGaMtm2fqthYWLIEXC44/3xszc16VwTAnvPOwxEUpEvv6pDNxgE/PzLb2jRv25NUWB3BiHsCR+TnE9Laqv3EelMT3H575/KARx7Rtu3TNWxYZw+rsJCpTz+NxQDDH0doKHvPOYfkjRsJO3xY8/bXBAYy2W7H38TzViqsjtC9zabCQGGVkZ1NTXQ0hVrfXPOrX0FxcecTtoAAbdv2hMxMePVV4vPzmfjvfxticnn33Lm4/PxI++QTzdteHRhIsJRkmPicORVWRxgtpaHmq+LLy0kpLu5cBKrliaUbNnSuUL/rLjjrLO3a9bRrryX30ksZuGYNIz7+WO9qsEdGUjhrFgPWriW4qkrTtjcEBuIAUw8FVVh16d5mY6T5qozsbBx+fmwbN067Ru32zhMVkpLAWyd/aijv0ks5MHUqYz74gP46HtnSrWDePCSQ9umnmrbbYrGQExBg6vVWKqy6DAGCMM58lX97O2N27GDnqFG0a3nA3uOPw65dnWdG6XxjjkcIwabbbqMyNZVJL75IbEGBruW0xsRwIDOTQatWEajxtfNrAgMZ6XAQZ/DLY49FhVWX7m02RulZjd2xA3+HQ9uJ9dxc+NOf4Ec/grlztWvXy9w2G2t//nNa4uKY9uSThJaV6VrProsuQjidDF+yRNN21wQFATDNpENBFVZdurfZ7DZCWElJRnY2h/v25XC/ftq06XLBLbdARAQ884w2bWqoIzSUNb/4BQCZf/0r/se5mMDbmhMSKJ48mSHLl2taR57NRrXFYtr1ViqsunRvs+kwQFilHDxIn6qqzgP2tPLss7BpU+d/Y2O1a1dDzQkJZD3wACHV1Ux96iksOp7SkD9/Pja7nWFffKFZm92nh05tb0cY4OnoyVJh1WWUgc6wGr9lS+cBe6NGadJeZF1d51qqCy6Aq67SpE29VA8fzsY77qBPQQGTXnpJtyUNDcnJlGRkMGzZMvxaWzVrd3VQELFuNyMNdpxOT5wwrIQQgUKITUKI7UKIPCGEF+9c0keUlKRgjMl1i9PJ8N272ZWWhlOLA/ak5MJPP+3cSvPCC8Y7UcELDk2Zwo4rrmDA2rWM1PEc9/z58/FvaWHIV19p1mb36aFmXMLQk56VHZglpRwLjAPmCCHO9GpVGhtloJXrAw8cINBuZ1damibtjd22jcGFhfDnP0NysncbW7as82QEA6x5yp8/n8Lp0xn94Yf0z8rSpYbawYMpHz2a1M8/x6rROenVVit5Jj099IRhJTt1b7Cydf0w34D3OMYYaE9g2q5d2P39KdTgKJaQpibOW7aMgykpcMcd3m2soaHz3Kn33uscamZne7e9ExGCnFtuoWLECCb961/E7dqlSxl58+cT2NjIoJUrNWtzTWAgGXY7ISY7PbRHc1ZCCKsQYhtQCSyXUhrwSpFTN0hKWoEKvQsBkg8doiQpCZfN5vW2xuTmEtTezrI5c7y/Qv7jj6G8HN58s7OtX/7Su+31gNvPj7X3348zKIj0t97SpYaqtDRqBwxgwNq1mrW5ITAQGzDGZLfe9OgrVErpklKOA5KASUKIH8z8CiFuE0LkCCFypMmeNOwVgmA6Pzm9lSYlkVRSglWDCdBDKSkAJJaWer0tpk7tnA977jlob4drrvF+mz0QVl5OQHMzJXqcwAogBBank3YNT9ToXhJqtAMmT+Skvp1KKeuBr4E5R/m9l6SUGVLKDGGyv4TsrnozDBCyO0eOJKCjgyH79nm9rdJ+/ShLSCAjJ8f7T8WGDOlcaLpxI4wda5hz3Ed9+CH20FD2nHeeLu0Ll4uwsjIatVpPB4R3/Vs3mex92pOngXFCiMiunwcB5wD67lnwsFwhsAMTDTCGLxo4kJbgYEZqccGAEORkZJBQUQHffOP99h54AGy2zkWnBjjIL2bvXhK3baPgggtwarml6QihlZVYXS5Nwyq06+u8WcvN8R7Qk2r7Al8LIXYA2XTOWX3m3bK01SEE24UwRM9KWq0UpKUxfPduTYaCuaNHY/f3hxdf9HpbzJzZOdE+Y4b32+qBUQsXYg8NZa9OvSqA8JISABo0DKvua7mafC2spJQ7pJTpUsoxUspRUsrHtChMazlCMEFKLAYIrF2pqfg7HAwqKvJ6W46AAHaMHdt5KURNjdfbo2t/mt5i9uyh744d7Jo3D6eONYV3zRc2JiZq1mZo19d4s68NA3uLbCEIA4YbIKyKBg6kPSCAVI0ep+dkZHQeDfPGG5q0ZwSjFy6kPSyMfeeeq2sd4YcP0xodrekwNNztplkI3CqszCmnq0s80QBh5fbzY+/QoQzfvRuhwTxaZXx8560wL77YeUW8j4vdvZuE3FwK5s3D2bWiWy/hpaWa9qqgc87KbPNVoMLqW3uBeowRVgAFqamEtLaSXFysTYN33AF798LXX2vTno5GLVxIe3g4e885R99C3G7CS0tpSNJ20UyY2226J4GgwupbUgg2G2SSHWDfkCE4rVZStTos7rLLICamc3+gD4srKCBh5052zZuHS+deVXBtLTa7XfuelZSmm1wHFVbfkSMEo6Uk0ACB1REYSOGgQZ3zVlrUExjYufZp0SLQ4fYVrYz64APaIiLYp3eviiMm1zV8EghdPSsVVuaWY7FgA8YaIKygcygYVV9PfIVGG4Fuv73zEL5XXtGmPY3F5ecTn5/ProsuwmWAG3v0DCuzPQkEFVbf0b2S3SjzVnuGD0eCdkPBIUPgnHPgpZfAAHftedrohQtpi4xk/9ln610KABGlpdhDQ7GHh2vabqiUaoLd7MqEoASYYJCwagkN5VBKimZLGAC4804oKem81diH9MnLo8+uXZ29Ki3OCeuB8NLSzl6Vxr0cNQz0ETlCGGLbTbfdqakkVFR0nuaphQsvhMREbVa0a0VKRnX3qmbP1ruaTlL+L6w0ZJGyc4JdDQPNL9tiYSidp4cawa7UVEDDoaDN1nlxxBdfgAYr6LUQn5dHn4IC8i++2DC9qoDGRgKamzXdZgP/W72uelY+IKfrO45RhoL10dGUx8drOxS89dbOoclLL2nXprd09apao6PZP2uW3tV8S6/JdbNuYgYVVj+wRQjcGOO4mG67U1NJLi4muLn5xB/sCUlJMG9e51NBu12bNr0kPjeXuN27yb/4YtwG6VWBvk8CQfWsfEKjEOzGGMfFdNuVmopFSobv2aNdo3feCVVVhjgv/ZRJyeiuXlXhzJl6V/Md4YcP4wgIoDUmRtN2w0x6lhWosDqqbIuls2dlkN5VRUIC9RERDNfy6vNzzoFBg8y9ov3LL4ndu5f8+fNxa3BM9MmIKCnR7UkgqGGgz8gRggTAy3e99JwQFKSlMXj/fvy1GpZZLJ2LRNesgfx8bdr0JCnhN7+hJSaGQoOcn3Wk8MOHNR8Cwv/mrNQw0EcY6ZjjbgWpqfi5XAzW4Ljjb914I2h1MJ+nffEFbNxoyF6VX2srwbW1mu8JhCOeBqphoG8w0jHH3Q6lpNASHKzdEgaAuLjODc5vvgktLdq1e7q6elX070+RQXtVoP3kOnSeZQWqZ+UzHEKwzUAnMABIi4U9w4czbM8eLFpuhbnjjs6jiN97T7s2T9eSJZ33Ev7qV7j9/PSu5gciup8Eanw0DHQOA11Aq+pZ+Q4jHXPcrSA1lUC7nQEHDmjX6NSpMHKkeYaCUsJvfwsDBnReqmpA4aWluPz8aO7TR/O2v93ErMLKd2QLQSiQaqCwKhw0iA6bjTQth4JCdPaucnI6fxjdZ5911vnII52r8Q0ovLSUpoQEpA43/Jj1LCtQYXVMRjrmuJvTZmPfkCGdSxi0nE+77joIDjZ+76q7VzVoEFx/vd7VHJMeewK7mXUTM6iwOqZ9QB3GCiuAgrQ0wpqb6afFLcrdIiI6b1B+912or9eu3ZP1ySewZYuhe1WWjg5CKit1DSszrrEC8Nrso9luZf6BI4457v5cDmg5V3QMFQEBXCQEiRs3ss7lOvEf6KENGzYc9/dDzjqLMS+/TNFjj1F++eUea9djpGTMgw9i7dePrUOGQNfns0/LpR490Ke8HIuU7LFadaktTEpqTBpW5qxaIzkWi2GOOe7WFhBAQd++jD90SNMV9i2pqTSnpRG/aJFhVvYfKXrNGkL27qXkxhvBgE8Au8VWVQFQHRenS/uhbjeNKqx8T7YQ+AHjDPbm3JKSQkJjI4kNDZq2W75gAcFFRYRt26ZpuyfkdpP0yiu0JSdTpfM9gCcSW1mJFILa2Fhd2jfzMNCcVWtkc9c/aoaBFocCbE3u3AiUfuiQpu3WnH02ztBQEhYt0rTdE4levZqQffsoueEGQ/eqoLNnVRcVhVOnObUwkx68ByqsjqtcCIox3iR7fUgI+2NjmXDwoKbtugMDqZo7l+ivv8avtlbTto/J7Sb5lVdoS0mh2gA31pxIbFWVbkNAW9eUhupZ+agci8VwPSuALf37M7CmhmiNt8FULFiAxemkz+efa9rusUSvWkVwYSElN91k+F6VcLmIqanRdb4KzLnVBlRYnVCOEAwGog3Wu9qSkgJoPxRsGzCAhvR04hcv1v+q+a5eVeuAAVQb5Wz144iqq8PqclGjV1iZeBMzqLA6oe7FoUY55rhbeUQEpRERnU8FNVaxYAGBhw8TuWmT5m0fKWblSoKLijqfAOqwGvxkdT8JrNIprMy8iRlUWJ3Qt8cc692LOIqtKSkMLy8nROOjh2unT6cjKor4jz7StN3vcLlIevVVWgcOpMZAZ6sfT3dY6dazMvHBe6DC6oSahKDAYCcwdNvSvz9WKRlbXKxpu9Jmo3LePKLWr8dfq9uivydmxQqCDxzonKsyQa8KOpctNIaFYQ8M1KX9b89fV8NA35UjRGfPymCBdSAmhtrgYF2GgpUXXwxSEv/JJ5q3jctF0muv0TpoEDUGO1v9eGKrq3XrVcER56+rnpXvyrZYiAdiDHYAnRSCrSkpjCotxV/j697tfftSf+aZ9Pn0U4TGbcd+9RXBBw9SfNNNnccvm4GUxFRVUaXDsTDdzHz+Oqiw6pHuuwQHVlfrXMkPbU5JIcDlYqSWG5u7VCxYgH91NVFZWdo16nSS9NprtAwZQq0BTwE9lvDGRgI6OnRbtgBq6UKvsFMI2oFBXROkRrInIYFmf39dhoJ1kydjj4/v3C+okdjlywk6dKhzrspEb7rYykpAv8l16Fy60AGY9SZI8/xr66j7mGMj9qxcFgvbk5MZV1KCResnllYrFRddRGR2NoFaTPJ396qGDqU2M9P77XmQ3ssWoHPpQpPFYspTQkGFVY/lWCwMrKnRPhB6YGtKCqF2O8N0eDJXOW8ebqtVk95V3JdfElRSYq65qi6xVVW0BgXRGhKiWw2hJt7EDCqseixHCAKcTs1POuiJ3MREOqxWXYaCjthY6jIzifv8cyxeXO8lunpVzcOGUWeyXhV0hlVNXJyuvZpvz183KRVWPdR9l+BAA85bddhs7ExM1PyMq27lCxZga2wkeuVKr7UR+8UXBJaWUnLzzaYcxui5gblbqJSmPcsKVFj12H4haPH3Z5AB562gc69gTEsL/WtqNG+7ccIE2lJSSPj4Y6+8vnA6SXr9dZpTU6mbOtUrbXhTcEsLwa2tui5bAHOfZQUqrHpOCIpiYw05yQ6wLTkZtxBM0GEoiBBUzJ9P2M6dBO/d6/GXj1uyhMDDhyk2ca8K9DsdtFuY223a1eugwuqkFMbGklRXp/kCzJ5oCQxkd3y85qcwdKs6/3zc/v4en2gXDgf9Xn+d5rQ06s86y6OvrRUjLFuAzhXsqmfVSxTGxWGVkhQdhlo9sSUlhaT6euIbGzVv2xkeTvXs2cQtW4bFgyv94z7/nMDyctP2qqCzZ9Vhs9EQHq5fEVKa+vx1UGF1UopiYgAMO2+1VaczrrpVLFiAtbWV2OXLPfJ6wuEg6Y03aBo5kvrJkz3ymnr4dnJdx6AIlBIbqKeBvUVjcDDVISGGnbeqCQ3lQEyM5scdd2seOZKWoUM7J9o98FSyz2efEVBRYdongN2+XbagI7NvYoaTCCshhFUIsVUI8Zk3CzK6othYw/asoHMoOKSqiojWVu0bF4LyBQsI2buX0Ly803upjg76dfeqzjjDQwVqz7+9nfDGRt0n181+lhWcXM/qXmCXtwoxi8K4OPo0NRHa3q53KUf17XHHGp9x1a36nHNwBQcTf5rLGPp8+ikBlZUU33KLuXtVXd/Y9A4rs59lBT0MKyFEEnAB8LJ3yzG+oq773lLLy3Wu5OhKIyOpCAtj6t692HR4aukOCaHqvPOIXbGCoMLCU3qNyG++Iem112gcPZqGSZM8XKG2Eg4fBvTdEwgQa/ITF6DnPatngF8Ax9wYJ4S4TQiRI4TIkQY7pM6T9sfFURYezjWbNhmzdyUEi8eNY2B1Nfd/9RWBDofmJRz+0Y9whoUx8q67CNnV88548P79pN13H2k/+xnuwECKfvYzU/eqQpqamL5iBWV9+1Lb9XBGDxYpubehgSqLhXx/f93qOF0nDCshxIVApZRy8/E+Tkr5kpQyQ0qZIUz8BXYiTquVF6dPJ7S9nZvWrTPc6aEAGwYP5uVp0xhWUcEDy5Zpfka7PTGRnS+8gCs4mBH33EPY1q3H/XhbTQ2D/vxnxvz4x4Tu2sWBe+5h23/+Q+vw4RpV7AVScuGiRfh3dLD4sst0fRJ4fXMz4zo6+H1UlM/PWU0BLhJCHADeA2YJId72alUGdygmhg8yMkgvLmZWQYHe5RzVhsGDeW7mTFJqa/nlF18QrvGEuz0pibwXXqAjLo4R999P5IYNP/gYS3s7/V57jfQrryTu888pv+wytr7/PmVXX400cQ8AYHxODkP37GHluedSreM2mwSnkwfr61kdGMji4GDd6vCEE4aVlPJhKWWSlHIAcBWwUkp5rdcrM7jlaWlsS0riquxsko1yO/H3bE1J4emzzyauqYn/W7qUmOZmTdvv6NOHvOefp3XAAIb/8pf/2+jsdhO7dCnjrrqKlH//m/qJE9n+n/9w4L77cEZEaFqjN0TV1HD20qUUDh5Mts5PMn9XV4cf8KvoaFMPqUGtszp1QvDq1Km0BARwx+rV+OswN9QTuxIT+du55xJqt/N/S5aQoPERN86oKPL/8Q+aR4xg2KOPkvTyy4y++WaG/v73OKKj2fncc+z5059oT07WtC5vES4XFy9ciMvPj08vuUTX4d+5ra3MaWvjmfBwig1+W3VPnNTfpJRylZTyQm8VYzZNgYG8NG0aCQ0NXJ2drXc5x7S/Tx/+MmcOVrebh5cuJVnj7UKusDB2Pf00DRkZJL/6Krb6evb+5jfkvvwyTenpmtbibVPXrCGppISl8+bRpOP2mhC3m8fq6thls/FvPbf5eJDqWZ2mXYmJLB09mhl79pBx4IDe5RxTcXQ0f5o7F4fVykNffMGQrs21WnEHBVHw179S8Ne/su2996g+7zzTnfZ5In1LSpi2ahW5Y8aQP3q0rrU8UF9PvMvFw9HROE0+/OvmW18tOvk4PZ39sbHcuG6d5vNCJ6MiIoLH586lMSiIB778khFda4C0Iv39qZs6FXdAgKbtasHW0cH8hQtpDg3liwv1HXyMsdu5obmZt0ND2epDf9cqrDzAZbHw4vTpANy+Zo0hz2nvVhsayp/mzqUiLIz7vvqKdJ32EfoSm93O3E8/Jaamhk8uvRR7UJButVil5M+1tVRZrfw1MlK3OrxBhZWHVIeF8ebkyQytrOTibdv0Lue4GoOC+MucORyMieGuVauYvH+/3iWZkr/dzllr1nD3U08xZts21mVmcmDQIF1rurmpiZEOB7+NijL1avWjMf8jAgPZOGgQIw8f5sIdO8jv25fdffvqXdIxtQYE8Ldzz+WnK1dyW1YWhR9+SMWll+pdlin4t7cz8ZtvOGP9eoLb2tg/ZAhZM2dS0rUvUy9JTif3NzTwVWAgS3Ts3XmLCisPe+eMMxhSWcntWVk8etFFNAcG6l3SMdltNp6ePZufrF5N+pNPYm1p4fD11+tdlmEFtLUx6ZtvmLR+PUHt7ewdNoysGTM4bIRlF1Ly+9paJPBrH1hTdTQqrDzMbrPx4vTpPPL559y0bh3Pzppl6C8cp58fz82cyZ/Ky+n/4ov4NTdz6M47DV2z1gLb2pi0fj2TvvmGwPZ29gwfTtbMmZT166d3ad+6oLWVWe3tPBYZyWEfWFN1NL75WemsezvONZs2MauggJVpaXqXdFwui4V9jz6KKySEfm+/jbWlhaKf/9znlhacrKDWVs5Yv56J33xDgN1OQVoaWTNmUJGYqHdp3xHudvPbujpybTZeDwvTuxyvUWHlJcvT0hhx+DBXZWezNz6e4uhovUs6PouFogcewBUcTL933sHa0sL+Rx5B+uh36eMJamnhzHXryNi4kYCODvJHjmTt9OlUGnQO8pf19cS43dzYpw8uH+4R976vRK10bcd5bPFi7li9mt9deCEdNpveVR2fEBy66y6cYWH0f/FFrG1t7HnsMaQPrdU5nuDm5s6Q2rQJm8PRGVIzZlAVH693acc0wW7n2uZmXg4LY6fJN3+fiAorL+rejvPAl19ydXY2b5jkKqnD11+POziYgU89ReqDD7L7z3/GbfId+8cT0tTE5LVrmZCdjdXpJH/0aNZOn67raQk9YZOSP9XWUmq18qQPbAA/ERVWXta9HeeC3FzyEhPJGTBA75J6pPyyy3CGhDDkj39kxH33setvf8PlI3vMuoU2NjJ57VrGZ2djdbnYOWYMa6dPp1bnUz176rbGRoY7HNwUG0trL5hfVGGlgY/T00ktK+PGdesoio2lJjRU75J6pHruXNzBwQx99FFG3nMPu55+GofR5956IKyhgbOyskjfvBmL203u2LGsnT6dOh1P8zxZUTU13NzQwJKgIFb4cK/3SL4fxwZgpu0431c7fToFTzxBYHExI3/yE/wNevZ8T4TX1zPn00+56+mnGZ+dTe7Ysbxw7718esklpgoqpOT8Tz6hQwh+ExWldzWaUWGlETNtx/m+hkmT2PXMM9hqahh1550E6nRzzqmKqKtj7iefcNczz5C+eTM70tN54b77+Hz+fOpM2FMctX07AwsL+WtkJJW96Glt7/lMDcBM23G+r2nMGPL++U9G3H8/I++8k13PPEPrkCF6l3VcAaWlXLBoEWO2bkUKwdYJE9gwbRoNJt7gG9TayjlLl1KSlMQ7PrxM4WhUz0pj75xxBhXh4dyelWXM23GOo3X4cHY+/zzSamXkXXcRunOn3iUdVWBJCYP/+EfSr7qK0du3s2XiRJ6//36+mDfP1EEFMHvZMgLb21ly8cW4VVgp3tS9HcfIt+McT/uAAeS9+CLO8HBG3Hsv4Tk5epf0rcBDhxj8+98z7uqriV2+nPJLL+Wf99/PsgsvpNEHHu33Lypi3JYtfDNlCpUJCXqXozkVVjo48nac2Qa9Hed47H37svOFF7D37UvaAw8QlZWlaz1BBw4w5Le/Zdw11xCzciVll1/OloULOXDffTT7yHILq8PB+YsXUxcVRdaMGXqXowsVVjrpvh3nSgPfjnM8jtjYzptrBg9m+P/9H7Fffql5DUGFhQx99FHG/uhHRK9Zw+Grr2brhx9y8Kc/xdF1c7avmJKVRUxNDUvnzcPp4yvVj0WFlV5McjvO8TjDw8l79lkax4xhyO9+R59FizRpN3j/foY+8ghjr7uOqPXrOXzttWz58EMO3XWXT6wD+76YqirOWrOGnaNHUzh0qN7l6EZ446p3q9UqQ0JCPP66eovywpqWKe3tvF1ZyXshITys41qfzMzMU/6zNqeTe7KySC8t5b30dD4fOdKDlf1PSm0t83NzmVhcTJvNxpfDh/NFWhrNx9m7WFhY6JVatCKk5B95eQxuaeGa9HTqjuhVFZhwCuFEGhoacDqdR31yoJYu6GxdYCAvhIdzV2MjWUFBLDHhamSHnx9/nz6d29et46qtWwlyOFg4dqzHzsQaUFPD/NxcJpSU0GKz8fHo0SxLTaWlF2ywvqCykvTGRv48ePB3gqo3UmFlAE9FRDC5vZ0/19Sw3d+fUhMu9HNZLLwwZQrtNhsX79xJkMPB2xkZyNMIrIHV1SzIzSW9tJQWf38+HDOGL1NTae0lb9rIjg7uOniQbeHhfGbwTdVaMN+7wgc5heCnsbEsKSvj2epqroiPN+W5RNJi4dUzzqDVZuOCXbsIcjh4+cwzcZ/kJtvBVVUsyM1l7OHDNPn788HYsSwfPpy2XhJS3X564ABBLhd/HTTotELfV6iwMohiPz9+FR3NP2pquK+hgSfNunhRCN4bP542f38u276dQIeD56dOxWm1nvCPDq2sZH5uLmPKymgKCOC/48bx1fDhtBv9HDAvmFhfz3nV1byalMRBE04NeIMKKwP5JCSEae3t3N3YyLrAQL4x8GUTxyUEi0ePps1m47qcHO5ftYpnp0/Hfozh7fCKCubn5jKqvJzGgADeTU9nxbBh2HthSAEEuFw8uH8/hwIDeSspSe9yDEOFlcH8JiqKCXY7L1RXc3NcHFtMPIn8ZWoqbTYbt3zzDQ+uWMFTM2f+b75JStK6QmpERQX1gYG8M348Xw8bdsxQ6y1uLCmhn93OPSNH0tELzqnqqd79VWFArRYLN8bF8WZVFe9WVnJvTAxfmHgYkDV4MO1+fvxk3ToeXr6cJ2bPJqmujgW5uaRWVlIXFMRbGRl8PWQIjl4eUgCDWlq4+vBhPo+LY4sPbBHyJLXO6iR4Y53VsUS7XLxSVcW4jg5+HxnJq17eNnI666x6YvThw9y7ejVSCAKdTmqDg/l05EhWDxmCowfzWafKTOushJS8mJtLv/Z2rklPp/EEw2C1zkoxhFqrlav69OHvNTX8pr6eZKeT30dFmXanfW5iIn+dPZvLt23jmwEDWD14cI8m3XuTiysqGNXczGNDhpwwqHojFVYGZrdY+ElsLL+qr+eWpiYSXS7ujYmh3aTzGHv69OGP556rdxmGFNvRwZ0HD5IdEcEyk5wBrzVzftX3Im4h+H1UFL+JiuLctjberawkxuXSuyzFw+4tKsLmdvO3QYPUbdjHoMLKJF4PC+P22FjSHA4+rqhgoAk3PitHd1ZtLbNqang9OZmSoCC9yzEsFVYm8mVwMFf16UOI283HFRVk2O16l6ScpiCXi58XFlIYFMR/DHYtvdGosDKZbQEBLIiPp85i4Z2KCs5vbdW7JOU03HzoEAkdHfx18GCcJp2L1Ir62zGhQzYbC+LjyQ0I4IXqam5rbDTd8cgKDGtu5oqyMhbFx5PrIyeaepMKK5Oqt1r5UZ8+fBYczK/q63msrg6LCizTsErJL/fvp95m48X+/fUuxxTU0gUTswvB3TExlFit3NG1tOGemBja1HDC8C4tKyO1pYVHhw2jSa3c7xH1VW1yUgj+FBXFI1FRzGpr47+VlcSppQ2G1sdu59ZDh9gQGckKM90ErTMVVj7irbAwbo2NZajDwcfl5QxRSxuMSUp+VliIALWm6iSpsPIhK4KDuaJPHwKk5KPyciaZ7BLV3mB6bS3T6up4JTmZcrMeAaQTFVY+JjcggAUJCVRZrbxdWclFLS16l6R0CXE6ub+oiL3Bwbzft6/e5ZiOCisfVOLnx4KEBLYGBPCPmhrubGhQSxsM4PZDh4jp6OAvgwfjUg9BTpr6G/NRjRYL1/Xpw+LgYB5qaODxujqsKrB0M6KpiQXl5XyYkMCusDC9yzGlHj0zFUIcAJoAF+CUUmZ4syjFMzqE4N6YGIr9/Li7sZG+Tid3xcbSqr6ra8rqdvOL/fup9vfnpZQUvcsxrZP5qp0ppRyngspcpBA8ERnJQ9HRZLa3835FBX3U0gZNXVlWxtDWVp4aOJBWtabqlKlvsb3Eu6Gh3BwXxyCnk4/Lyxne0aF3Sb1Cv/Z2bi4uZnV0NFlqTdVp6WlYSeBLIcRmIcRtR/sAIcRtQogcIUSON45KVk7fqqAgLo+PxwYsrqjg0uZmvUvyaXF2O0/l59MhBM8MHKh3OabX07CaKqUcD8wF7hJC/ODAbinlS1LKDCllhlAL3Qwrz9+fCxIS2Orvz1O1tfylpoYAt1vvsnxObEcHz+blEelw8LMRI6g08S1FRtGjsJJSlnb9txL4GJjkzaIU76rq2gT9bHg4V7W0sKiigoTGRr3L8hlRHR38PS+P2I4OfjZihHr65yEnDCshRIgQIqz758C5wE5vF6Z4l1sInoyM5Pq4OBJcLh5bupRJBw/qXZbpRToc/CMvj3i7nQdGjCBPBZXH9KRnFQ+sFUJsBzYBn0spv/BuWYpWVgcFcX5CAiUREdyTlcV12dn4qaeFpyTc4eCZvDz62u08mJbGdnVGlUed8DmqlLIQGKtBLYpOyvz8+OP06Vy5dStzCwoYXF3NP6ZNoyY0VO/STCPM4eDv+fmktLfzi9RUtqoLSj1OLV1QAHBZrfwnI4NnMjPp29jIH5YsYVxJid5lGZuUDG9u5uZDh3g5N5cBra08NHw4OZGRelfmk9QKNeU7Nqek8OuoKO5Zs4afr1rFpyNHsnDsWNxq1TsAfm434xsamFpXx9TaWuI7OnABO8LDeWLQIBVUXqTCSvmByrAwHpszhx/l5DAvL4+hVVU8N3Uq9cHBepemizCnkzPr6phWW8uZ9fWEuFy0WSxsiozk39HRrI+KokHdoOx1KqyUo3JYrbx+xhns6dOHm775hj9+/jnPT51KXi852iShvZ2pXQE1rrERPympsdn4KjaWrKgoNkdE0GG16l1mr6LCSjmu9QMHciAqinuysvjFihV8PGYMi0eNQvrasFBKhre0MK22lqm1tQztuuKsqOs+v6zoaHaFhiLVgmfdqLBSTuhwZCS/nTuXGzZu5NIdOxhaVcWLU6bQZPKTLm1uN+kNDZ0BVVdHnyPmn54dMIC1UVGUqhuSDUOFldIjdj8//nXWWezu04frsrP5w5Il/HPqVPb26aN3aSclzOlkctfkePf8U2vX/NNLav7J0FRYKT0nBKuGDqUoJoZ71qzhV8uX89/0dJampRn64oOE9vZve0/d80/VR84/RUbS4WvDWh+kwko5aQejo/n1+edz64YNXLNlC8MrK3lp8mRajbJZV0oG1taSXlLCqP371fyTjxDeOM7FarXKkJAQj7+u3qKiovQuwWsyM39wkMaJScm5u3dz9ebN1IaE8I9p0zig05lNfi4XaRUVjC8pYXxJCdGtrbiFYHtYGFnR0T45/1RQUKB3CR7X0NCA0+k86ncR1bNSTp0QfJmayv6YGO7OyuLRZct4Z8IEVgwbpsmwMNhuZ9zhw4wvLmZMWRlBDgftfn7k9u3L++PGsT0xkR2HD3u9DkUbKqyU07Y/Lo5fX3ABd6xbxw3Z2QyvrOTVM8+k3QsT1bHNzYwvKWFCcTHDKyuxSkl9YCAb+vdnS1IS+X374lDrn3ySCivFI5oDAnhy5kwuzMvjsu3b6V9Xxz8yMyk53e0nXfNP44uLGV9SQkp9PQAlERF8PmIEW5KTKYyJUfNPvYAKK8VjpBB8OmoU+2Jj+cnatfx26VJenzSJtYMHn9TrdM8/TSguJr209Nv5pz1xcbwzfjxbkpOpVOdE9ToqrBSP25WQwCMXXMBP1q7l9g0bGF5ZyZsTJ+I4zs0uwXY740pLGV9Scsz5p2aTL0JVTo8KK8UrGoKC+Mvs2VyyYwcX79zJoJoa/pGZSfkRB9LFNTeTruaflB5SYaV4jdtiYeG4ceyJi+OOdet4bOlS/pueTmRrq5p/Uk6aCivF63b068evL7iAu7KyuGHTJjX/pJwSFVaKJmpCQvjjOecwrKqK4qgomo2y2l0xDRVWimZcViu7EhL0LkMxKbV7U1EUU/DK3kA/Pz8Z6YNnUdfU1OhdgtdER0frXYJXtLS06F2C1wT44FC6ubkZl8t11CcsqmelKIopqLBSFMUUVFgpimIKKqwURTEFFVaKopiCCitFUUxBhZWiKKagwkpRFFNQYaUoiimosFIUxRRUWCmKYgoqrBRFMQUVVoqimIIKK0VRTEGFlaIopqDCSlEUU1BhpSiKKaiwUhTFFFRYKYpiCiqsFEUxBRVWiqKYggorRVFMQYWVoiimoMJKURRT6FFYCSEihRALhRAFQohdQojJ3i5MURTlSH49/Li/A19IKS8TQvgDwV6sSVEU5QdOGFZCiAggE7gBQErZAXR4tyxFUZTv6skwcCBQBbwmhNgqhHhZCBHy/Q8SQtwmhMgRQuRIKT1eqKIovVtPwsoPGA+8IKVMB1qAh77/QVLKl6SUGVLKDCGEh8tUFKW360lYlQAlUsqNXb9eSGd4KYqiaOaEYSWlLAeKhRDDu/7XbCDfq1UpiqJ8T0+fBt4DvNP1JLAQuNF7JSmKovxQj8JKSrkNyPBuKYqiKMemVrArimIKKqwURTEFFVaKopiCCitFUUxBhZWiKKagwkpRFFNQYaUoiimosFIUxRRUWCmKYgoqrBRFMQUVVoqimIIKK0VRTEGFlaIopqDCSlEUU1BhpSiKKaiwUhTFFFRYKYpiCiqsFEUxBRVWiqKYggorRVFMQYWVoiimILxx1bsQogo46PEXPrpYoFqjtrSkPi/z8dXPTcvPq7+UMu5ov+GVsNKSECJHSulz14Spz8t8fPVzM8rnpYaBiqKYggorRVFMwRfC6iW9C/AS9XmZj69+bob4vEw/Z6UoSu/gCz0rRVF6ARVWiqKYgmnDSggxRwixWwixTwjxkN71eIoQ4lUhRKUQYqfetXiSECJZCPG1ECJfCJEnhLhX75o8QQgRKITYJITY3vV5/U7vmjxNCGEVQmwVQnymZx2mDCshhBV4DpgLjACuFkKM0Lcqj3kdmKN3EV7gBH4upRwBnAnc5SP/ZnZglpRyLDAOmCOEOFPfkjzuXmCX3kWYMqyAScA+KWWhlLIDeA+4WOeaPEJKuQao1bsOT5NSlkkpt3T9vInOL/5++lZ1+mSn5q5f2rp++MxTKyFEEnAB8LLetZg1rPoBxUf8ugQf+MLvLYQQA4B0YKPOpXhE1zBpG1AJLJdS+sTn1eUZ4BeAW+c6TBtWikkJIUKBD4H7pJSNetfjCVJKl5RyHJAETBJCjNK5JI8QQlwIVEopN+tdC5g3rEqB5CN+ndT1/xQDE0LY6Ayqd6SUH+ldj6dJKeuBr/GdOccpwEVCiAN0TrXMEkK8rVcxZg2rbGCoEGKgEMIfuAr4ROealOMQQgjgFWCXlPIpvevxFCFEnBAisuvnQcA5QIGuRXmIlPJhKWWSlHIAne+xlVLKa/Wqx5RhJaV0AncDy+icqH1fSpmnb1WeIYR4F9gADBdClAghbta7Jg+ZAlxH53fnbV0/zte7KA/oC3wthNhB5zfR5VJKXR/x+yq13UZRFFMwZc9KUZTeR4WVoiimoMJKURRTUGGlKIopqLBSFMUUVFgpimIKKqwURTGF/wf1/LVOrzrTvgAAAABJRU5ErkJggg== +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-10">Estrella 10<a class="anchor-link" href="#Estrella-10">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [106]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_10g</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_10g</span> <span class="o">=</span> <span class="n">str_10g</span><span class="p">[</span><span class="mi">43</span><span class="p">:</span><span class="mi">49</span><span class="p">,</span><span class="mi">883</span><span class="p">:</span><span class="mi">889</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_10g</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Greens'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mf">3.3</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mf">0.9</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_10g</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xig</span><span class="p">,</span><span class="n">FWHM_yig</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_10g</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h2 id="Los-valores-para-el-Full-Width-at-Half-Maximum-(FHWM)">Los valores para el Full Width at Half Maximum (FHWM)<a class="anchor-link" href="#Los-valores-para-el-Full-Width-at-Half-Maximum-(FHWM)">¶</a></h2><p>Considere el valor en dirección x & en dirección y. Saque la desviación estándar, el promedio, la mediana y el histograma</p> + +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [107]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xig</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_xig</span><span class="p">))</span> +<span class="nb">print</span><span class="p">(</span><span class="n">FWHM_xig</span><span class="p">)</span> +<span class="n">stdxig</span> <span class="o">=</span> <span class="n">FWHM_xig</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">stdxr</span><span class="p">)</span> +<span class="n">meanxig</span> <span class="o">=</span> <span class="n">FWHM_xig</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">meanxig</span><span class="p">)</span> +<span class="n">medianxig</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_xig</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">medianxig</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_xig</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección x para la imagen verde considerando incertidumbre'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Valor FHWM'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'No de imagénes con ese valor'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> +<pre>[2.06044976 2.35963715 5.94635051 1.72778985 2.5844445 1.98904453 + 4.28449873 2.285111 2.91261108 2.30037517] +1.1372820062135576 +2.845031227650905 +2.330006159119047 +</pre> +</div> +</div> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [108]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_yig</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_yig</span><span class="p">))</span> +<span class="nb">print</span><span class="p">(</span><span class="n">FWHM_yig</span><span class="p">)</span> +<span class="n">stdyig</span> <span class="o">=</span> <span class="n">FWHM_yig</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">stdyig</span><span class="p">)</span> +<span class="n">meanyig</span> <span class="o">=</span> <span class="n">FWHM_yig</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">meanyig</span><span class="p">)</span> +<span class="n">medianyig</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_yig</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">medianyig</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_yig</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección y para la imagen verde considerando incertidumbre'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Valor FHWM'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'No de imagénes con ese valor'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> +<pre>[2.26459585 2.48867213 5.80659834 2.30828238 2.99444242 2.4728795 + 4.85154451 2.99813054 2.0964853 2.50275735] +1.1775361127169395 +3.0784388321736786 +2.495714741576891 +</pre> +</div> +</div> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h2 id="Canal-azul">Canal azul<a class="anchor-link" href="#Canal-azul">¶</a></h2> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [109]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xib</span> <span class="o">=</span> <span class="p">[]</span> +<span class="n">FWHM_yib</span> <span class="o">=</span> <span class="p">[]</span> +</pre></div> + + </div> +</div> +</div> +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-1">Estrella 1<a class="anchor-link" href="#Estrella-1">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [110]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_1b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_1b</span> <span class="o">=</span> <span class="n">str_1b</span><span class="p">[</span><span class="mi">283</span><span class="p">:</span><span class="mi">288</span><span class="p">,</span><span class="mi">890</span><span class="p">:</span><span class="mi">895</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_1b</span><span class="p">,</span> <span class="n">cmap</span> <span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">71</span><span class="p">,</span> <span class="mf">1.7</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_1b</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xib</span><span class="p">,</span><span class="n">FWHM_yib</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_1b</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img src="data:image/png;base64,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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-2">Estrella 2<a class="anchor-link" href="#Estrella-2">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [111]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_2b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_2b</span> <span class="o">=</span> <span class="n">str_2b</span><span class="p">[</span><span class="mi">252</span><span class="p">:</span><span class="mi">257</span><span class="p">,</span><span class="mi">949</span><span class="p">:</span><span class="mi">955</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_2b</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">50</span><span class="p">,</span> <span class="mf">2.9</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_2b</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xib</span><span class="p">,</span><span class="n">FWHM_yib</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_2b</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-3">Estrella 3<a class="anchor-link" href="#Estrella-3">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [112]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_3b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_3b</span> <span class="o">=</span> <span class="n">str_3b</span><span class="p">[</span><span class="mi">309</span><span class="p">:</span><span class="mi">324</span><span class="p">,</span><span class="mi">619</span><span class="p">:</span><span class="mi">636</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_3b</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">14</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_3b</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xib</span><span class="p">,</span><span class="n">FWHM_yib</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_3b</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-4">Estrella 4<a class="anchor-link" href="#Estrella-4">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [113]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_4b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_4b</span> <span class="o">=</span> <span class="n">str_4b</span><span class="p">[</span><span class="mi">18</span><span class="p">:</span><span class="mi">23</span><span class="p">,</span><span class="mi">607</span><span class="p">:</span><span class="mi">612</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_4b</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">9</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">1.23</span><span class="p">,</span> <span class="mf">1.46</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_4b</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xib</span><span class="p">,</span><span class="n">FWHM_yib</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_4b</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-5">Estrella 5<a class="anchor-link" href="#Estrella-5">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [114]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_5b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_5b</span> <span class="o">=</span> <span class="n">str_5b</span><span class="p">[</span><span class="mi">347</span><span class="p">:</span><span class="mi">356</span><span class="p">,</span><span class="mi">542</span><span class="p">:</span><span class="mi">552</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_5b</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">8</span><span class="p">,</span> <span class="mf">1.7</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">3.5</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_5b</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xib</span><span class="p">,</span><span class="n">FWHM_yib</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_5b</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-6">Estrella 6<a class="anchor-link" href="#Estrella-6">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [115]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_6b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_6b</span> <span class="o">=</span> <span class="n">str_6b</span><span class="p">[</span><span class="mi">295</span><span class="p">:</span><span class="mi">300</span><span class="p">,</span><span class="mi">307</span><span class="p">:</span><span class="mi">312</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_6b</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">123</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mf">5.9</span><span class="p">,</span> <span class="mf">0.78</span><span class="p">,</span> <span class="mf">1.7</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_6b</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xib</span><span class="p">,</span><span class="n">FWHM_yib</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_6b</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-7">Estrella 7<a class="anchor-link" href="#Estrella-7">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [116]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_7b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_7b</span> <span class="o">=</span> <span class="n">str_7b</span><span class="p">[</span><span class="mi">142</span><span class="p">:</span><span class="mi">154</span><span class="p">,</span><span class="mi">387</span><span class="p">:</span><span class="mi">399</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_7b</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">100</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_7b</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xib</span><span class="p">,</span><span class="n">FWHM_yib</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_7b</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-8">Estrella 8<a class="anchor-link" href="#Estrella-8">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [117]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_8b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_8b</span> <span class="o">=</span> <span class="n">str_8b</span><span class="p">[</span><span class="mi">459</span><span class="p">:</span><span class="mi">465</span><span class="p">,</span><span class="mi">322</span><span class="p">:</span><span class="mi">327</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_8b</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">30</span><span class="p">,</span> <span class="mf">3.43</span><span class="p">,</span> <span class="mf">6.4</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_8b</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xib</span><span class="p">,</span><span class="n">FWHM_yib</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_8b</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img src="data:image/png;base64,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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-9">Estrella 9<a class="anchor-link" href="#Estrella-9">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [118]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_9b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_9b</span> <span class="o">=</span> <span class="n">str_9b</span><span class="p">[</span><span class="mi">277</span><span class="p">:</span><span class="mi">284</span><span class="p">,</span><span class="mi">1071</span><span class="p">:</span><span class="mi">1076</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_9b</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mf">6.4</span><span class="p">,</span> <span class="mf">7.3</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_9b</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xib</span><span class="p">,</span><span class="n">FWHM_yib</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_9b</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h4 id="Estrella-10">Estrella 10<a class="anchor-link" href="#Estrella-10">¶</a></h4> +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [119]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">str_10b</span> <span class="o">=</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> +<span class="n">str_10b</span> <span class="o">=</span> <span class="n">str_10b</span><span class="p">[</span><span class="mi">43</span><span class="p">:</span><span class="mi">49</span><span class="p">,</span><span class="mi">883</span><span class="p">:</span><span class="mi">889</span><span class="p">]</span> +<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">str_10b</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> + +<span class="n">p0</span> <span class="o">=</span> <span class="p">[</span><span class="mi">41</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> +<span class="n">determinar</span><span class="p">(</span><span class="n">str_10b</span><span class="p">,</span><span class="n">p0</span><span class="p">,</span><span class="n">FWHM_xib</span><span class="p">,</span><span class="n">FWHM_yib</span><span class="p">,</span> <span class="n">incer</span> <span class="o">=</span> <span class="n">str_10b</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img src="data:image/png;base64,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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h2 id="Los-valores-para-el-Full-Width-at-Half-Maximum-(FHWM)">Los valores para el Full Width at Half Maximum (FHWM)<a class="anchor-link" href="#Los-valores-para-el-Full-Width-at-Half-Maximum-(FHWM)">¶</a></h2><p>Considere el valor en dirección x & en dirección y. Saque la desviación estándar, el promedio, la mediana y el histograma</p> + +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [120]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_xib</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_xib</span><span class="p">))</span> +<span class="nb">print</span><span class="p">(</span><span class="n">FWHM_xib</span><span class="p">)</span> +<span class="n">stdxib</span> <span class="o">=</span> <span class="n">FWHM_xib</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">stdxib</span><span class="p">)</span> +<span class="n">meanxib</span> <span class="o">=</span> <span class="n">FWHM_xib</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">meanxib</span><span class="p">)</span> +<span class="n">medianxib</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_xib</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">medianxib</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_xib</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección x para la image azul'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Valor FHWM'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'No de imagénes con ese valor'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> +<pre>[2.03980921 2.48058525 6.47800722 1.73482965 2.87264966 2.01388379 + 4.54315531 2.65219429 2.08840686 2.23133449] +1.4045244740696985 +2.9134855727199147 +2.355959870242411 +</pre> +</div> +</div> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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gX4QEQ8BCBpS+Bi4B3dzRQR9wLbNyk/ofD+OOC4sgGbmVnfKvtA2ZDOJAAQEQ+TbgU1M7N+ruwZwVRJZwMX5OFPAVOrCcnMzFqpbCI4HDgC6Lxd9Gbgh5VEZGZmLVX2rqGXgFPzy8zMBpBuE4GkGXTTJEREbNvnEZmZWUv1dEawT0uiMDOztuk2EUTEo60KxMzM2qPU7aOSdpZ0p6Qlkl6W9KqkRVUHZ2Zm1Sv7HMEZwEHAn4GhwGHAD6oKyszMWqd0D2URMQsYFBGvRsS5pMbjzMysnyv7HMELudG56ZK+DTyB+zs2MxsQyu7MD8nTHknqj2A08NGqgjIzs9Ype0bwDuCXEbEIWKEDejMz67/KnhHsCzws6aeS9pFUdaf3ZmbWIqUSQUR8Btgc+Bnp7qG/5EbozMysnyt9ZB8Rr0i6jtTkxFBgf9JtpGZm1o+VfaDsQ5LOIz1H8FFS38JvqjAuMzNrkbJnBP8CXAp8NrdEWoqktYGbgLXyui6PiK81TLMWMJl0QXo+8ImImF12HWZmtmrKNkN90Eou/yVgj4hYImkIcIuk6yLitsI0hwLPRsTmkg4kdW7/iZVcn5mZ9VKlD4VFsiQPDsmvxmatxwPn5/eXA3tKUpVxmZnZMpXfBippEDCNdNfRDyLi9oZJRgJzACJiqaSFwHDgmYblTAQmAowZM6bqsPvc2C//sm3rnv2tvdu2bjNb/ZU+I5A0VNJWvV1BbptoO2AUsKOkbXq7jLycSRExLiLGdXR0rMwizMysibJ3De0LTAd+lYe3kzSlNyuKiOeAG1ixsbrHSE1WkB9U24B00djMzFqg7BnBicCOwHMAETEd2LSnmSR1SNowvx8KvB94sGGyKcCn8/sDgN9HRJfdY5qZWd8qe43glYhY2HANt8zOeiPg/HydYA3gsoi4RtJJwNSImAKcA/xU0ixgAXBg+fDNzGxVlU0E90v6JDBI0hbAUcAfe5opIu4Ftm9SfkLh/d+Bj5WMw8zM+ljZqqHPAW8jPRdwMbAIOKaimMzMrIXKPlD2AvAV4Cu5mmfdfCRvZmb9XNm7hi6StL6kdYEZwAOS/rPa0MzMrBXKVg1tnTul2R+4jnTH0CFVBWVmZq1TNhEMyW0F7Q9MiYhXKHfXkJmZrebKJoIfAbOBdYGbJG1CumBsZmb9XNmLxacDpxeKHpW0ezUhmZlZK5W9WPxGSefkHsqQtDXLngY2M7N+rGzV0HnAr4GN8/DD+DkCM7MBoWwiGBERlwGvQWouGni1sqjMzKxlyiaC5yUNJ98pJGlnYGFlUZmZWcuUbWvoC6RWQjeTdCvQQWop1MzM+rmydw3dJWlXYCtAwEP5WQIzM+vnSndVma8L3F9hLGZm1gaVdl5vZmarPycCM7OaK101JGkksElxnoi4qYqgzMysdUolAkknA58AHmDZ8wMBdJkIJI0GJgNvzNNOiojvNUyzG/Bz4K+56MqIOKl8+GZmtqrKnhHsD2wVES/1YtlLgWPzHUfDgGmSro+IBxqmuzki9unFcs3MrA+VvUbwCDCkNwuOiCci4q78fjEwExjZu/DMzKxqZc8IXgCmS/odqd9iACLiqDIzSxpL6sT+9iaj3yXpHuBx4IsR0fQWVUkTgYkAY8aMKRm2mZn1pGwimJJfvSZpPeAK4Jjcy1nRXcAmEbFE0oeBq4Etmi0nIiYBkwDGjRvnTnHMzPpI2SeLz5e0JrBlLir1ZHHu1ewK4MKIuLLJchcV3l8r6YeSRkTEM+XCNzOzVVX2rqHdgPNJvZQJGC3p093dPipJwDnAzIg4tYtp3gQ8FREhaUfSNYv5vfkAZma2aspWDZ0CfCAiHgKQtCVwMfCObubZhdTB/QxJ03PZ8cAYgIg4i9Rw3eGSlgIvAgdGhKt9zMxaqGwiGNKZBAAi4uFc7dOliLiFdPbQ3TRnAGeUjMHMzCpQNhFMlXQ2cEEe/hQwtZqQzMyslcomgsOBI4DO20VvBn5YSURmZtZSZRPBYOB7nRd9JQ0C1qosKjMza5myTxb/DhhaGB4K/LbvwzEzs1YrmwjWjoglnQP5/TrVhGRmZq3Um87rd+gckPQO0u2eZmbWz5W9RnAM8DNJj5NuCX0TqVlqMzPr58o2MXGnpLeQOq8Hd15vZjZg9Kbz+leA+yqMxczM2sB9FpuZ1ZwTgZlZzZVKBJJ2kbRufn+wpFMlbVJtaGZm1gplzwjOBF6Q9HbgWOAvpI7pzcysnyubCJbm5qHHA2dExA+AYdWFZWZmrVL2rqHFko4j9S/wHklr0MvO7M3MbPVU9ozgE6RO6/81Ip4ERgHfqSwqMzNrmVKJIO/8r2BZi6PPAFdVFZSZmbVO2buG/g24HPhRLhoJXF1ivtGSbpD0gKT7JR3dZBpJOl3SLEn3Fts0MjOz6pWtGjqC1AfxIoCI+DPwhhLzLQWOjYitgZ2BIyRt3TDNh4At8msi6Q4lMzNrkbKJ4KWIeLlzQNJgoMdO5iPiiYi4K79fDMwknU0UjQcmR3IbsKGkjUrGZWZmq6hsIviDpOOBoZLeD/wM+EVvViRpLLA9cHvDqJHAnMLwXFZMFkiaKGmqpKnz5s3rzarNzKwbZRPBl4F5wAzgs8C1wFfLrkTSeqSLzcdExKLeBgkQEZMiYlxEjOvo6FiZRZiZWRNlm6F+DfhxfvWKpCGkJHBhRFzZZJLHgNGF4VG5zMzMWqA3bQ1dL+lhSY9I+qukR0rMJ+AcYGZnx/dNTAH+Jd89tDOwMCKeKP0JzMxslZR9svgc4PPANODVXix/F9LTyDMkTc9lxwNjACLiLFI104eBWcALwGd6sXwzM1tFZRPBwoi4rrcLj4hbSF1bdjdNkG5PNTOzNiibCG6Q9B3gSlJTEwB03hpqZmb9V9lEsFP+O65QFsAefRuOmZm1Wtm7hnavOhAzM2uPsncNvVHSOZKuy8NbSzq02tDMzKwVukwEuUvKN+XB84BfAxvn4YeBYyqNzMzMWqK7M4LfAZ33/o+IiMuA1wAiYim9u43UzMxWU10mgvxQ1+F58HlJw8kNzXU++FV9eGZmVrVuLxZHROfO/gukJ4A3k3Qr0AEcUHFsZmbWAmXvGrpL0q7AVqQHxB6KiFcqjczMzFqiVCKQ9JGGoi0lLQRmRMTTfR+WmZm1StkHyg4F3gXckId3I7U7tKmkkyLipxXEZmZmLVA2EQwG3hoRT0F6rgCYTHri+CbAicDMrJ8q2zHN6M4kkD2dyxYAvlZgZtaPlT0juFHSNaQuKgE+msvWBZ6rIjAzM2uNsongCNLOf5c8PBm4Ijch7XaIzMz6sbK3jwZweX6ZmdkAUrbRuZ0l3SlpiaSXJb0qaaU6oTczs9VL2YvFZwAHAX8GhgKHAT/oaSZJP5H0tKT7uhi/m6SFkqbn1wllAzczs75RNhEQEbOAQRHxakScC+xVYrbzSkx3c0Rsl18nlY3HzMz6RtmLxS9IWhOYLunbwBOUSCIRcZOksasQn5mZVazsGcEhwCDgSOB5YDTpLqK+8C5J90i6TtLbuppI0kRJUyVNnTdvXh+t2szMyt419Gh++yLw3324/ruATSJiiaQPA1cDW3QRwyRgEsC4ceOiD2MwM6u1sncN7SPpbkkLJC2StLgv7hqKiEURsSS/vxYYImnEqi7XzMzKK3uN4LvAR0itjfbZ0XjuCvOpiAhJO5IS0/y+Wr6ZmfWsbCKYA9zX2yQg6WJSS6UjJM0FvgYMAYiIs0id2xwuaSmp2unAvkw0ZmbWs7KJ4EvAtZL+ALzUWRgRp3Y9C0TEQT2MP4P0jIKZmbVJ2UTwDWAJsDawZnXhmJlZq5VNBBtHxDaVRmJmZm1R9jmCayV9oNJIzMysLcomgsOBX0l6sS9vHzUzs/Yr+0DZsKoDMTOz9ug2EUh6S0Q8KGmHZuMj4q5qwjIzs1bp6YzgC8BE4JQm4wLYo88jMjOzluo2EUTExPzX3VGamQ1QpfsjMDOzgcmJwMys5pwIzMxqrmwz1JJ0cGefwpLG5NZCzcysnyt7RvBD4F2kDuwBFlOi83ozM1v9lW1raKeI2EHS3QAR8Wzuw9jMzPq5smcEr0gaRHp2AEkdwGuVRWVmZi1TNhGcDlwFvEHSN4BbgG9WFpWZmbVM2baGLpQ0DdgTELB/RMysNDIzM2uJbs8IJL2+8wU8DVwMXAQ8lcu6Jeknkp6WdF8X4yXpdEmzJN3bVZtGZmZWnZ7OCKaRrgsIGAM8m99vCPwN2LSH+c8jdUU5uYvxHwK2yK+dgDPzXzMza5FuzwgiYtOIeDPwW2DfiBgREcOBfYDf9LTwiLgJWNDNJOOByZHcBmwoaaPy4ZuZ2aoqe/vozhHxb50DEXGdpG/3wfpHAnMKw3Nz2RONE0qaSGoJlTFjxvTBqutj7Jd/2Zb1zv7W3m1Zbzu167uGen7f7TLQ/qfK3jX0uKSvShqbX18BHq8koi5ExKSIGBcR4zo6Olq5ajOzAa1sIjgI6CDdQnplfn9Qt3OU8xgwujA8KpeZmVmLlL19dAFwdAXrnwIcKekS0kXihRGxQrWQmZlVp+w1gpUi6WJgN2CEpLnA14AhABFxFnAt8GFgFvAC8Jkq4zEzsxVVmggiotvqo4gI4IgqYzAzs+65PwIzs5or2x/BKElXSZqXnxS+QtKoqoMzM7PqlT0jOJd0YXcjYGPgF7nMzMz6ubKJoCMizo2Ipfl1HukWUjMz6+fKJoL5uavKQfl1MDC/ysDMzKw1yiaCfwU+DjxJav7hAHyrp5nZgFD2gbJHgf0qjsXMzNqg20Qg6YRuRkdE/E8fx2NmZi3W0xnB803K1gUOBYYDTgRmZv1ct4kgIk7pfC9pGKm9oc8AlwCndDWfmZn1Hz1eI8hdUn4B+BRwPrBDRDxbdWBmZtYaPV0j+A7wEWAS8E8RsaQlUZmZWcv0dPvosaQnib9K6pxmUX4tlrSo+vDMzKxqPV0jcKN0ZmYDnHf0ZmY150RgZlZzTgRmZjVXaSKQtJekhyTNkvTlJuMn5D4OpufXYVXGY2ZmK6qsq0pJg4AfAO8H5gJ3SpoSEQ80THppRBxZVRxmZta9Ks8IdgRmRcQjEfEy6Wnk8RWuz8zMVkKViWAkMKcwPDeXNfqopHslXS5pdFcLkzRR0lRJU+fNm9fXsZqZ1Va7Lxb/AhgbEdsC15OasGgqIiZFxLiIGNfR4c7RzMz6SpWJ4DGgeIQ/Kpf9Q0TMj4iX8uDZwDsqjMfMzJqoMhHcCWwhaVNJawIHAlOKE0jaqDC4HzCzwnjMzKyJyu4aioilko4Efg0MAn4SEfdLOgmYGhFTgKMk7QcsBRYAE6qKx8zMmqssEQBExLXAtQ1lJxTeHwccV2UMZmbWvXZfLDYzszZzIjAzqzknAjOzmnMiMDOrOScCM7OacyIwM6s5JwIzs5pzIjAzqzknAjOzmnMiMDOrOScCM7OacyIwM6s5JwIzs5pzIjAzqzknAjOzmnMiMDOrOScCM7OaqzwRSNpL0kOSZkn6cpPxa0m6NI+/XdLYqmMyM7NlKk0EkgYBPwA+BGwNHCRp64bJDgWejYjNgdOAk6uMyczMllf1GcGOwKyIeCQiXgYuAcY3TDMeOD+/vxzYU5IqjsvMzLJKO68HRgJzCsNzgZ26miYilkpaCAwHnilOJGkiMDEPLpH0UCURlzOChvhqptTn18A9t1stf/8Wft+r5edvsbZ8B33wG2/SrLDqRNBnImISMKndcQBImhoR49odR7v48/vz1/nzw8D7DqquGnoMGF0YHpXLmk4jaTCwATC/4rjMzCyrOhHcCWwhaVNJawIHAlMappkCfDq/PwD4fURExXGZmVlWadVQrvM/Evg1MAj4SUTcL+kkYGpETAHOAX4qaRawgJQsVnerRRVVG/nz11vdPz8MsO9APvg2M6s3P1lsZlZzTgRmZjXnRFCSpNGSbpD0gKT7JR3d7phaTdLaku6QdE/+Dv673TG1g6RBku6WdE27Y2k1SbMlzZA0XdLUdsfTapI2lHS5pAclzZT0rnbH1Bf6zXMEq4GlwLERcZekYcA0SddHxAPtDqyFXgL2iIglkoYAt0i6LiJua3dgLXY0MBNYv92BtMnuEVHXB8q+B/wqIg7Id0Ku0+6A+oLPCEqKiCci4q78fjFpRzCyvVG1ViRL8uCQ/KrV3QaSRgF7A2e3OxZrLUkbAO8l3elIRLwcEc+1Nag+4kSwEnILqdsDt7c5lJbL1SLTgaeB6yOibt/Bd4EvAa+1OY52CeA3kqblZl/qZFNgHnBurho8W9K67Q6qLzgR9JKk9YArgGMiYlG742m1iHg1IrYjPSW+o6Rt2hxSy0jaB3g6Iqa1O5Y2endE7EBqUfgISe9td0AtNBjYATgzIrYHngdWaFq/P3Ii6IVcL34FcGFEXNnueNopnxLfAOzV5lBaaRdgP0mzSS3p7iHpgvaG1FoR8Vj++zRwFamF4bqYC8wtnAVfTkoM/Z4TQUm5aexzgJkRcWq742kHSR2SNszvhwLvBx5sa1AtFBHHRcSoiBhLegL+9xFxcJvDahlJ6+YbJchVIh8A7mtvVK0TEU8CcyRtlYv2BAbEzSK+a6i8XYBDgBm5jhzg+Ii4tn0htdxGwPm5w6E1gMsiona3UNbYG4Grcnchg4GLIuJX7Q2p5T4HXJjvGHoE+Eyb4+kTbmLCzKzmXDVkZlZzTgRmZjXnRGBmVnNOBGZmNedEYGZWc04ENiDllmI/2FB2jKQzu5nnRkkr3SG5pPMk/TW3zDld0lG5fLakEYXpdpN0jZJnJL0ul28kKSS9uzDtPEnDJZ2Yx23e8HliVWI2AycCG7guZsVuTw/M5X0iP0/R6D8jYrv8Or27+XPf3LcBnU0Z/zNwd/5LfnBpfkTMz+NnsPxn+hhw/yp8BDPAicAGrsuBvfODP50NBW4M3CzpTElTu+tTQdJBud39+ySdXChfIukUSfewbAe+Kv5I3vHnv6exfGK4tTDt1cD4HMdmwEKgrs1BWx9yIrABKSIWAHeQGkeDdCR9WT4K/0pEjAO2BXaVtG1xXkkbAycDewDbAe+UtH8evS5we0S8PSJuabLq7xSqhv6pUH5DZznLN2F9K8sSwY6k9ntG5+F/JiWKTotITRxskz/PpT1/E2Y9cyKwgaxYPVSsFvq4pLtI1TBvA7ZumO+dwI0RMS8ilgIXktqhB3iV1PBgV4pVQzMK5bt3lgOHFcrvBLbPbfcMyf09PJKvBTSeEUBq7O5AYH9S0jBbZU4ENpD9HNhT0g7AOhExTdKmwBeBPSNiW+CXwNq9WObfI+LVvgowIl4A/gz8K3BXLr4N+DDwBuChhlmuIbV59bc6NoNu1XAisAErH13fAPyEZWcD65PakV8o6Y0sqzoquoNUZTQiXxA+CPhDhaH+ETgG+FMe/hOpO8zboqExsJw4/gv4RoXxWM04EdhAdzHw9vyXiLiHVCX0IHARK1a9EBFPkDocuQG4B5gWET+vMMZbgTezLBHcRer454/NJo6ISzq7TTXrC2591Mys5nxGYGZWc04EZmY150RgZlZzTgRmZjXnRGBmVnNOBGZmNedEYGZWc/8fINvjf5JzpA4AAAAASUVORK5CYII= +" +> +</div> + +</div> + +</div> + +</div> + +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [121]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHM_yib</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">FWHM_yib</span><span class="p">))</span> +<span class="nb">print</span><span class="p">(</span><span class="n">FWHM_yib</span><span class="p">)</span> +<span class="n">stdyib</span> <span class="o">=</span> <span class="n">FWHM_yib</span><span class="o">.</span><span class="n">std</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">stdyib</span><span class="p">)</span> +<span class="n">meanyib</span> <span class="o">=</span> <span class="n">FWHM_yib</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> +<span class="nb">print</span><span class="p">(</span><span class="n">meanyib</span><span class="p">)</span> +<span class="n">medianyib</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_yib</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">medianyib</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_yib</span><span class="o">.</span><span class="n">flatten</span><span class="p">())</span> +<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Valores FHWM en la dirección y para la image azul'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Valor FHWM'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'No de imagénes con ese valor'</span><span class="p">)</span> +<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> +<pre>[2.24913538 2.40876589 6.29473725 2.35285375 3.26496698 2.4854407 + 4.0776676 3.29395504 2.90445187 2.50468865] +1.1699287444022204 +3.183666310642008 +2.7045702615231875 +</pre> +</div> +</div> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + + + +<div class="jp-RenderedImage jp-OutputArea-output "> +<img 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 +" +> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h3 id="Comparemos-los-cuatro-valores">Comparemos los cuatro valores<a class="anchor-link" href="#Comparemos-los-cuatro-valores">¶</a></h3><p>En dirección x</p> + +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [122]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">stdxi</span><span class="p">,</span><span class="n">stdxir</span><span class="p">,</span><span class="n">stdxig</span><span class="p">,</span><span class="n">stdxib</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">meanxi</span><span class="p">,</span><span class="n">meanxir</span><span class="p">,</span><span class="n">meanxig</span><span class="p">,</span><span class="n">meanxib</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">medianxi</span><span class="p">,</span><span class="n">medianxir</span><span class="p">,</span><span class="n">medianxig</span><span class="p">,</span><span class="n">medianxib</span><span class="p">)</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> +<pre>1.2442375593713781 1.1220401417419346 1.233085493598224 1.4045244740696985 +2.916621675050629 2.9834775770762554 2.845031227650905 2.9134855727199147 +2.519035453328353 2.536875478494914 2.330006159119047 2.355959870242411 +</pre> +</div> +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<p>En dirección y</p> + +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [123]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">stdyi</span><span class="p">,</span><span class="n">stdyir</span><span class="p">,</span><span class="n">stdyig</span><span class="p">,</span><span class="n">stdyib</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">meanyi</span><span class="p">,</span><span class="n">meanyir</span><span class="p">,</span><span class="n">meanyig</span><span class="p">,</span><span class="n">meanyib</span><span class="p">)</span> +<span class="nb">print</span><span class="p">(</span><span class="n">medianyi</span><span class="p">,</span><span class="n">medianyir</span><span class="p">,</span><span class="n">medianyig</span><span class="p">,</span><span class="n">medianyib</span><span class="p">)</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> + + +<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain"> +<pre>1.2080118897663938 1.1882827213448535 1.1775361127169395 1.1699287444022204 +3.0706026542016884 2.9267160396079794 3.0784388321736786 3.183666310642008 +2.4351553795125156 2.347568909171641 2.495714741576891 2.7045702615231875 +</pre> +</div> +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<h2 id="Comparando-los-valores-con-y-sin-incertidumbre">Comparando los valores con y sin incertidumbre<a class="anchor-link" href="#Comparando-los-valores-con-y-sin-incertidumbre">¶</a></h2> +</div> +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<p>Para x</p> + +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [124]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- crear un array con todas las cantidades calculadas anteriormente para el FWHM</span> +<span class="n">valuesx</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="n">stdx</span><span class="p">,</span><span class="n">stdxr</span><span class="p">,</span><span class="n">stdxg</span><span class="p">,</span><span class="n">stdxb</span><span class="p">,</span> <span class="n">meanx</span><span class="p">,</span><span class="n">meanxr</span><span class="p">,</span><span class="n">meanxg</span><span class="p">,</span><span class="n">meanxb</span><span class="p">,</span> <span class="n">medianx</span><span class="p">,</span><span class="n">medianxr</span><span class="p">,</span><span class="n">medianxg</span><span class="p">,</span><span class="n">medianxb</span><span class="p">],</span> + <span class="p">[</span><span class="n">stdxi</span><span class="p">,</span><span class="n">stdxir</span><span class="p">,</span><span class="n">stdxig</span><span class="p">,</span><span class="n">stdxib</span><span class="p">,</span> <span class="n">meanxi</span><span class="p">,</span><span class="n">meanxir</span><span class="p">,</span><span class="n">meanxig</span><span class="p">,</span><span class="n">meanxib</span><span class="p">,</span> <span class="n">medianxi</span><span class="p">,</span><span class="n">medianxir</span><span class="p">,</span><span class="n">medianxig</span><span class="p">,</span><span class="n">medianxib</span><span class="p">]])</span> +<span class="n">valuesx</span><span class="o">.</span><span class="n">shape</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[124]:</div> + + + + +<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain"> +<pre>(2, 12)</pre> +</div> + +</div> + +</div> + +</div> + +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [125]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- crear un data frame con esa información</span> +<span class="n">FWHMxx</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">valuesx</span><span class="p">,</span> + <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'stdxL'</span><span class="p">,</span><span class="s1">'stdxR'</span><span class="p">,</span><span class="s1">'stdxG'</span><span class="p">,</span><span class="s1">'stdxB'</span><span class="p">,</span><span class="s1">'meanxL'</span><span class="p">,</span><span class="s1">'meanxR'</span><span class="p">,</span><span class="s1">'meanxG'</span><span class="p">,</span><span class="s1">'meanxB'</span><span class="p">,</span><span class="s1">'medianxL'</span><span class="p">,</span><span class="s1">'medianxR'</span><span class="p">,</span><span class="s1">'medianxG'</span><span class="p">,</span><span class="s1">'medianxB'</span><span class="p">],</span> + <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s1">'Sin-incertidumbre'</span><span class="p">,</span><span class="s1">'Con-incertidumbre'</span><span class="p">])</span> +<span class="c1"># -- crear un data frame con la diferencia entre valores con y sin incertidumbre</span> +<span class="n">resta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="nb">abs</span><span class="p">(</span><span class="n">FWHMxx</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'Sin-incertidumbre'</span><span class="p">]</span> <span class="o">-</span> <span class="n">FWHMxx</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'Con-incertidumbre'</span><span class="p">])</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">12</span><span class="p">),</span> + <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'stdxL'</span><span class="p">,</span><span class="s1">'stdxR'</span><span class="p">,</span><span class="s1">'stdxG'</span><span class="p">,</span><span class="s1">'stdxB'</span><span class="p">,</span><span class="s1">'meanxL'</span><span class="p">,</span><span class="s1">'meanxR'</span><span class="p">,</span><span class="s1">'meanxG'</span><span class="p">,</span><span class="s1">'meanxB'</span><span class="p">,</span><span class="s1">'medianxL'</span><span class="p">,</span><span class="s1">'medianxR'</span><span class="p">,</span><span class="s1">'medianxG'</span><span class="p">,</span><span class="s1">'medianxB'</span><span class="p">],</span> + <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s1">'diferencia'</span><span class="p">])</span> +<span class="c1"># -- combinar ambos data frame</span> +<span class="n">FWHMxx</span> <span class="o">=</span> <span class="n">FWHMxx</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">resta</span><span class="p">)</span> +</pre></div> + + </div> +</div> +</div> +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<p>Para y</p> + +</div> +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [126]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># -- lo mismo pero en dirección y</span> +<span class="n">valuesy</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="n">stdy</span><span class="p">,</span><span class="n">stdyr</span><span class="p">,</span><span class="n">stdyg</span><span class="p">,</span><span class="n">stdyb</span><span class="p">,</span> <span class="n">meany</span><span class="p">,</span><span class="n">meanyr</span><span class="p">,</span><span class="n">meanyg</span><span class="p">,</span><span class="n">meanyb</span><span class="p">,</span> <span class="n">mediany</span><span class="p">,</span><span class="n">medianyr</span><span class="p">,</span><span class="n">medianyg</span><span class="p">,</span><span class="n">medianyb</span><span class="p">],</span> + <span class="p">[</span><span class="n">stdyi</span><span class="p">,</span><span class="n">stdyir</span><span class="p">,</span><span class="n">stdyig</span><span class="p">,</span><span class="n">stdyib</span><span class="p">,</span> <span class="n">meanyi</span><span class="p">,</span><span class="n">meanyir</span><span class="p">,</span><span class="n">meanyig</span><span class="p">,</span><span class="n">meanyib</span><span class="p">,</span> <span class="n">medianyi</span><span class="p">,</span><span class="n">medianyir</span><span class="p">,</span><span class="n">medianyig</span><span class="p">,</span><span class="n">medianyib</span><span class="p">]])</span> + +<span class="n">FWHMyy</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">valuesy</span><span class="p">,</span> + <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'stdyL'</span><span class="p">,</span><span class="s1">'stdyR'</span><span class="p">,</span><span class="s1">'stdyG'</span><span class="p">,</span><span class="s1">'stdyB'</span><span class="p">,</span><span class="s1">'meanyL'</span><span class="p">,</span><span class="s1">'meanyR'</span><span class="p">,</span><span class="s1">'meanyG'</span><span class="p">,</span><span class="s1">'meanyB'</span><span class="p">,</span><span class="s1">'medianyL'</span><span class="p">,</span><span class="s1">'medianyR'</span><span class="p">,</span><span class="s1">'medianyG'</span><span class="p">,</span><span class="s1">'medianyB'</span><span class="p">],</span> + <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s1">'Sin-incertidumbre'</span><span class="p">,</span><span class="s1">'Con-incertidumbre'</span><span class="p">])</span> + +<span class="n">resta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="nb">abs</span><span class="p">(</span><span class="n">FWHMyy</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'Sin-incertidumbre'</span><span class="p">]</span> <span class="o">-</span> <span class="n">FWHMyy</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'Con-incertidumbre'</span><span class="p">])</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">12</span><span class="p">),</span> + <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'stdyL'</span><span class="p">,</span><span class="s1">'stdyR'</span><span class="p">,</span><span class="s1">'stdyG'</span><span class="p">,</span><span class="s1">'stdyB'</span><span class="p">,</span><span class="s1">'meanyL'</span><span class="p">,</span><span class="s1">'meanyR'</span><span class="p">,</span><span class="s1">'meanyG'</span><span class="p">,</span><span class="s1">'meanyB'</span><span class="p">,</span><span class="s1">'medianyL'</span><span class="p">,</span><span class="s1">'medianyR'</span><span class="p">,</span><span class="s1">'medianyG'</span><span class="p">,</span><span class="s1">'medianyB'</span><span class="p">],</span> + <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="s1">'diferencia'</span><span class="p">])</span> +<span class="n">FWHMyy</span> <span class="o">=</span> <span class="n">FWHMyy</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">resta</span><span class="p">)</span> +</pre></div> + + </div> +</div> +</div> +</div> + +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [127]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHMxx</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[127]:</div> + + + +<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html"> +<div> +<style scoped> + .dataframe tbody tr th:only-of-type { + vertical-align: middle; + } + + .dataframe tbody tr th { + vertical-align: top; + } + + .dataframe thead th { + text-align: right; + } +</style> +<table border="1" class="dataframe"> + <thead> + <tr style="text-align: right;"> + <th></th> + <th>stdxL</th> + <th>stdxR</th> + <th>stdxG</th> + <th>stdxB</th> + <th>meanxL</th> + <th>meanxR</th> + <th>meanxG</th> + <th>meanxB</th> + <th>medianxL</th> + <th>medianxR</th> + <th>medianxG</th> + <th>medianxB</th> + </tr> + </thead> + <tbody> + <tr> + <th>Sin-incertidumbre</th> + <td>1.202031</td> + <td>1.137282</td> + <td>1.192085</td> + <td>1.301895</td> + <td>2.938495</td> + <td>2.834198</td> + <td>2.824878</td> + <td>2.982611</td> + <td>2.535912</td> + <td>2.463149</td> + <td>2.424866</td> + <td>2.517526</td> + </tr> + <tr> + <th>Con-incertidumbre</th> + <td>1.244238</td> + <td>1.122040</td> + <td>1.233085</td> + <td>1.404524</td> + <td>2.916622</td> + <td>2.983478</td> + <td>2.845031</td> + <td>2.913486</td> + <td>2.519035</td> + <td>2.536875</td> + <td>2.330006</td> + <td>2.355960</td> + </tr> + <tr> + <th>diferencia</th> + <td>0.042207</td> + <td>0.015242</td> + <td>0.041001</td> + <td>0.102629</td> + <td>0.021874</td> + <td>0.149280</td> + <td>0.020153</td> + <td>0.069125</td> + <td>0.016877</td> + <td>0.073726</td> + <td>0.094860</td> + <td>0.161566</td> + </tr> + </tbody> +</table> +</div> +</div> + +</div> + +</div> + +</div> + +</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell "> +<div class="jp-Cell-inputWrapper"> +<div class="jp-InputArea jp-Cell-inputArea"> +<div class="jp-InputPrompt jp-InputArea-prompt">In [128]:</div> +<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> + <div class="CodeMirror cm-s-jupyter"> +<div class=" highlight hl-ipython3"><pre><span></span><span class="n">FWHMyy</span> +</pre></div> + + </div> +</div> +</div> +</div> + +<div class="jp-Cell-outputWrapper"> + + +<div class="jp-OutputArea jp-Cell-outputArea"> + +<div class="jp-OutputArea-child"> + + + <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[128]:</div> + + + +<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html"> +<div> +<style scoped> + .dataframe tbody tr th:only-of-type { + vertical-align: middle; + } + + .dataframe tbody tr th { + vertical-align: top; + } + + .dataframe thead th { + text-align: right; + } +</style> +<table border="1" class="dataframe"> + <thead> + <tr style="text-align: right;"> + <th></th> + <th>stdyL</th> + <th>stdyR</th> + <th>stdyG</th> + <th>stdyB</th> + <th>meanyL</th> + <th>meanyR</th> + <th>meanyG</th> + <th>meanyB</th> + <th>medianyL</th> + <th>medianyR</th> + <th>medianyG</th> + <th>medianyB</th> + </tr> + </thead> + <tbody> + <tr> + <th>Sin-incertidumbre</th> + <td>1.163140</td> + <td>1.076054</td> + <td>1.124040</td> + <td>1.219566</td> + <td>3.058655</td> + <td>3.106182</td> + <td>3.099311</td> + <td>3.108883</td> + <td>2.535681</td> + <td>2.816984</td> + <td>2.788384</td> + <td>2.607229</td> + </tr> + <tr> + <th>Con-incertidumbre</th> + <td>1.208012</td> + <td>1.188283</td> + <td>1.177536</td> + <td>1.169929</td> + <td>3.070603</td> + <td>2.926716</td> + <td>3.078439</td> + <td>3.183666</td> + <td>2.435155</td> + <td>2.347569</td> + <td>2.495715</td> + <td>2.704570</td> + </tr> + <tr> + <th>diferencia</th> + <td>0.044872</td> + <td>0.112229</td> + <td>0.053496</td> + <td>0.049637</td> + <td>0.011948</td> + <td>0.179466</td> + <td>0.020872</td> + <td>0.074783</td> + <td>0.100526</td> + <td>0.469415</td> + <td>0.292670</td> + <td>0.097341</td> + </tr> + </tbody> +</table> +</div> +</div> + +</div> + +</div> + +</div> + +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<p>Al incluir la incertidumbre los valores de FWHM si cambian. No se puede afirmar que el valor sea mas o menos preciso, sin embargo al darle un peso a cada pixel que conforma la imagen de la estrella, es mas facil manejar imagenes con mayor ruido como la Estrella 3 y 7.</p> + +</div> +</div> +<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt"> +</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown"> +<p>El módelo es extremadamente sensible a cualquier cambio, cambio de los parametros iniciales p0</p> + </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs "> <div class="jp-Cell-inputWrapper"> diff --git a/Entrega.ipynb b/Entrega.ipynb index 33b7a9c467299d82a2b29020b99f4d4ac0969b8c..c30e82126f71fb4f54ce76dd6efb6ad6f7ae831a 100644 --- a/Entrega.ipynb +++ b/Entrega.ipynb @@ -54,6 +54,7 @@ "source": [ "import numpy as np\n", "import imageio as iio\n", + "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import matplotlib.patches as patches\n", "\n", @@ -97,7 +98,7 @@ } ], "source": [ - "# -- visualize the image\n", + "# -- visualizar la imagen\n", "fig, ax = plt.subplots(figsize=(20, 7))\n", "ax.imshow(img)\n", "plt.show()" @@ -120,8 +121,8 @@ } ], "source": [ - "# -- shape of the image\n", - "# -- the last number indicates the number of channels: RedGreenBlue\n", + "# -- shape de la imagen\n", + "# -- el ultimo numero indica el numero de canales, al ser una imagen hace referencia a RedGreenBlue\n", "img.shape" ] }, @@ -130,7 +131,7 @@ "metadata": {}, "source": [ "## Combinar los canales\n", - "Para combinar los canales, vamos a promedioar los tres canales para asà \"crear\" la imagen en escala de grises." + "Para combinar los canales, vamos a promediar los tres canales para asà \"crear\" la imagen en escala de grises." ] }, { @@ -150,8 +151,8 @@ } ], "source": [ - "# -- mean of the image, in the axis = 2, in the third number of the shape tuple\n", - "# -- now, there is no third dimension\n", + "# -- promedio de la imagen en axis = 2 (la dimension de los canales), el tercer numero de la tupla\n", + "# -- ahora, no hay tercera dimension\n", "gr_img = img.mean(axis=2)\n", "gr_img.shape" ] @@ -175,9 +176,9 @@ } ], "source": [ - "# -- visualize the gray image\n", - "# -- use a color map that is gray\n", + "# -- visualizar la imagen en escala de grises\n", "fig, ax = plt.subplots(figsize=(20, 7))\n", + "# -- usar un mapa de color en grises\n", "ax.imshow(gr_img, cmap ='gist_gray')\n", "plt.show()" ] @@ -283,7 +284,7 @@ "metadata": {}, "outputs": [], "source": [ - "def Error(tpl,x,y,z):\n", + "def Error(tpl,x,y,z,incer):\n", " '''\n", " Calcula el error entre el valor z dado por la imagen y el determinado por el método de mÃnimos cuadrados\n", " o cualquier otro. Al ser el resultado dos dimensional, fue necesario convertirlo en unidimensional.\n", @@ -291,8 +292,9 @@ " # x son las posiciones reportadas\n", " # y son los valores medidos en las posiciones x\n", " # tpl es una tupla con los parámetros para calcular el modelo\n", + "\n", " zmodel = function(tpl,x,y)\n", - " errors = (zmodel.flatten() - z.flatten())\n", + " errors = (zmodel.flatten() - z.flatten()) / np.sqrt(abs(incer))\n", " return errors" ] }, @@ -302,7 +304,7 @@ "metadata": {}, "outputs": [], "source": [ - "def calculator(star,p0,Error):\n", + "def calculator(star,p0,Error,incer=1):\n", " '''\n", " Extrae las coordenadas x & y de la imagen y calcula la mejor gaussiana mediante el método de mÃnimos\n", " cuadrados\n", @@ -310,7 +312,7 @@ " x = np.arange(0,star.shape[0],1)\n", " y = np.arange(0,star.shape[1],1)\n", " x, y = np.meshgrid(y,x)\n", - " best,suss = leastsq(Error, p0, args=(x,y,star))\n", + " best,suss = leastsq(Error, p0, args=(x,y,star,incer))\n", " return best,x,y" ] }, @@ -331,21 +333,23 @@ "metadata": {}, "outputs": [], "source": [ - "def determinar(star,p0, FWHMx = FWHM_x, FWHMy = FWHM_y):\n", + "def determinar(star,p0, FWHMx = FWHM_x, FWHMy = FWHM_y,incer=1):\n", " '''\n", " Determina la mejor gaussiana dado un punto inicial, usando la función calculator.\n", " Determina el valor del FWHM en dirección x & y, guarda el valor en una lista.\n", + " Este es determinado usando la formula de https://en.wikipedia.org/wiki/Full_width_at_half_maximum\n", " Genera una gráfica donde se muestra el contorno de la gaussiana determinada encima de la imagen.\n", " '''\n", - " best_star,x,y = calculator(star, p0, Error)\n", + " best_star,x,y = calculator(star, p0, Error,incer)\n", " print(best_star)\n", " FWHM_star_x = 2*np.sqrt(2*np.log(2))*best_star[1]\n", " FWHM_star_y = 2*np.sqrt(2*np.log(2))*best_star[2]\n", " FWHMx.append(FWHM_star_x)\n", " FWHMy.append(FWHM_star_y)\n", " print(FWHM_star_x,FWHM_star_y)\n", + " \n", + " # -- plot el contorno de la gaussiana encontrada encima de la imagen de la estrella\n", " fig, ax = plt.subplots(figsize=(20, 7))\n", - "\n", " ax.imshow(star,cmap='gist_gray')\n", " ax.contour(x, y, function(best_star,x,y), 3, colors='r')\n", " plt.show()" @@ -411,7 +415,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Estrella 2" + "#### Mirar como es para una sola dimesión" ] }, { @@ -421,7 +425,171 @@ "outputs": [ { "data": { - "image/png": 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+ "text/plain": [ + "array([[ 76.33333333, 72.33333333, 92. , 89. ,\n", + " 76. ],\n", + " [ 75.33333333, 123.33333333, 182. , 136. ,\n", + " 70. ],\n", + " [ 84.33333333, 176.33333333, 247. , 176. ,\n", + " 78. ],\n", + " [ 82.33333333, 143.33333333, 191. , 141. ,\n", + " 78. ],\n", + " [ 84.33333333, 80.33333333, 84. , 86. ,\n", + " 83. ]])" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "str_1" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[92.0, 182.0, 247.0, 191.0, 84.0]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# -- extraer valores de cada columna para formar un vector con cada columna\n", + "# -- el tercer vector es el que parte la estrella en dos\n", + "wa = list(zip(*str_1))\n", + "list(wa[2])" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# -- grafiquemos esos puntos\n", + "# -- no se ve tan linda como la del profe\n", + "plt.scatter(np.arange(0,len(wa[2]),1),wa[2],c='green')\n", + "plt.ylabel('Intensidad del pixel')\n", + "plt.xlabel('No del pixel fila')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<matplotlib.legend.Legend at 0x7fd6ab2abd68>" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def function1(params, x):\n", + " '''\n", + " Define función gaussiana generalizada en una dimension.\n", + " '''\n", + " A = params[0]\n", + " sigma_x = params[1]\n", + " #sigma_y = params[2]\n", + " x0 = params[2]\n", + " #y0 = params[4]\n", + " theta = params[3]\n", + " K = params[4]\n", + " \n", + " a = np.cos(theta)**2/(2*sigma_x**2) #+ np.sin(theta)**2/(2*sigma_y**2)\n", + " #b = -np.sin(2*theta)/(4*sigma_x**2) + np.sin(2*theta)/(4*sigma_y**2)\n", + " #c = np.sin(theta)**2/(2*sigma_x**2) + np.cos(theta)**2/(2*sigma_y**2)\n", + "\n", + " z = A*np.exp( - (a*(x-x0)**2 )) + K\n", + " return z\n", + "\n", + "def Error1(tpl,x,y):\n", + " '''\n", + " Calcula el error entre el valor y dado por la imagen y el determinado por el método de mÃnimos cuadrados\n", + " o cualquier otro.\n", + " '''\n", + " # x son las posiciones reportadas\n", + " # y son los valores medidos en las posiciones x\n", + " # tpl es una tupla con los parámetros para calcular el modelo\n", + " ymodel = function1(tpl,x)\n", + " errors = (ymodel - y)\n", + " #print(errors)\n", + " return errors\n", + "\n", + "\n", + "p0 = [10, 10, 50, 4,0]\n", + "x = np.arange(0,len(wa[2]),1)\n", + "y = np.array(wa[2])\n", + "best,suss = leastsq(Error1, p0, args=(x,y))\n", + "plt.scatter(x,function1(best,x),c='orange',label='Fit')\n", + "plt.scatter(x,wa[2], c = 'green',label='Original')\n", + "plt.legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Continuación en dos dimensiones para las demas estrellas" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 2" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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"text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -435,14 +603,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "[199.01253816 1.08145645 1.00567015 2.34913877 2.25632274\n", - " -1.64457802 71.94966219]\n", - "2.546635316348273 2.3681722290552565\n" + "[199.17204186 1.08795697 1.01652482 2.3507139 2.25572616\n", + " -1.63067875 71.03541102]\n", + "2.5619428907503394 2.393733033767761\n" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "<Figure size 1440x504 with 1 Axes>" ] @@ -455,11 +623,13 @@ ], "source": [ "str_2 = gr_img.copy()\n", - "str_2 = str_2[252:257,949:955]\n", + "str_2 = str_2[252:257,949:954]\n", "plt.imshow(str_2, cmap='gist_gray')\n", "plt.show()\n", "\n", - "p0 = [50, 1.3, 2.5, 4, 1, 0, 0]\n", + "p0 = [50, 1.3, 2.5, 4, 1, 0.5, 0]\n", + "\n", + "#p0 = [60, 30.4, 11, 0.01, 1, 0, 0]\n", "determinar(str_2,p0)" ] }, @@ -472,7 +642,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -528,7 +698,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -584,7 +754,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -640,7 +810,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -696,7 +866,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -752,7 +922,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -808,7 +978,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -864,7 +1034,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -921,23 +1091,23 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[2.16735397 2.54663532 5.98601925 1.70412489 2.66017748 2.50988123\n", + "[2.16735397 2.56194289 5.98601925 1.70412489 2.66017748 2.50988123\n", " 4.23516813 3.04640581 2.161933 2.35194783]\n", - "1.2025192371430922\n", - "2.936964690381042\n", - "2.5282582730707905\n" + "1.2020310334918178\n", + "2.9384954478212486\n", + "2.5359120602718237\n" ] }, { "data": { - "image/png": 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QzMysWcom+f2BA4DuLpN/AX5WSURmZtY0ZXvXvAgcmx9mZjZENEzyku4Eot78iNi46RGZmVnT9FaTnzQoUZiZWSUaJvmIeGiwAjEzs+Yr1YVS0paSbpW0SNJLkpZIWlBy3WGSbpd06cBCNTOzvirbT/54YDLwADAS2Bf4acl1DwJm9j00MzMbqNI3DYmIB4FhEbEkIk4DdultHUljgV2BU/ofopmZ9VfZfvLP5wHKZkj6AfAY5T4gfgQcBoyut4CkKcAUgPHjx5cMx8zMyihbk98rL/tF0njy44CPNlpB0iRgbkRMb7RcRJwUERMjYmJXV1fJcMzMrIyyNfl3AZdFxALg2yXX2Qr4sKQPAcsBK0o6KyL27EecZmbWD2Vr8rsB90v6paRJknr9cIiIr0fE2IiYAHwK+JMTvJnZ4CqV5CPic8BbgF+Tetn8LQ9YZmZmbaxscw0R8bKkK0jDHIwE9iB1pSyz7jXANX0Pz8zMBqLsj6E+KOl0Uj/5j5K6RL65wrjMzKwJytbkPwP8Ctgvj0hpZmZDQNmhhidXHYiZmTVf6V+8mpnZ0OMkb2bWwUoneUkjJa1fZTBmZtZcZXvX7AbMAK7M05tIuqTCuMzMrAnK1uSPBDYH5gNExAxg7UoiMjOzpimb5F+OiGd7lNW996uZmbWHsv3k75b0b8AwSW8FDgRuqC4sMzNrhrI1+S8BGwIvAucCC4CDK4rJzMyapOyPoZ4HvgF8Q9IwYFRE/LPSyMzMbMDK9q45R9KKkkYBdwL3SPpqtaGZmdlAlW2u2SDfMGQP4ApSz5q9qgrKzMyao2ySHyFpBCnJXxIRL+PeNWZmba9skj8RmA2MAq6VtBbp4quZmbWxshdefwL8pFD0kKQdqgnJzMyapeyF19UknZrvDIWkDYDPVhqZmZkNWNnmmtOBq4A18vT9uJ+8mVnbK5vkx0TE+cArABGxGFhSWVRmZtYUZZP8c5JWIfeokbQl0HMsGzMzazNlx645BLgEWFfS9UAX8LHKojIzs6Yo27vmNknbAesDAu7LfeXNzKyNla3Jd7fD311hLGZm1mS+x6uZWQdzkjcz62Clm2skrQmsVVwnIq6tIigzM2uOUkle0tHAJ4F7WNo/PgAneTOzNla2Jr8HsH5EvFhhLGZm1mRl2+RnASOqDMTMzJqvbE3+eWCGpD+S7vMKQEQcWElUZmbWFGWT/CX5YWZmQ0jZX7yeIWlZYL1cVOoXr5KWI12cfUPe1wUR8V/9DdbMzPqmbO+a7YEzSHeHEjBO0mdLdKF8EdgxIhbl2wdeJ+mKiLip/yGbmVlZZZtrjgHeHxH3AUhaDzgXeFejlSIigEV5ckR++N6wZmaDpPSNvLsTPEBE3E/J3jaShkmaAcwFro6Im/scpZmZ9UvZJD9N0imSts+Pk4FpZVaMiCURsQkwFthc0kbF+ZKmSJomadq8efP6FLyZmTVWNsnvT/q164H5cU8uKy0i5gNTgV16lJ8UERMjYmJXV1dfNmlmZr0o2yY/HPhxRBwLqQmG1GOmIUldwMsRMV/SSGBn4Oj+BmtmZn1Ttib/R2BkYXok8IcS660OTJX0V+BWUpv8pX0L0czM+qtsTX65iOjuJUPuErl8bytFxF+BTfsbnJmZDUxfbuS9WfeEpHcBL1QTkpmZNUvZmvzBwK8lPUr6MdSbSUMPm5lZGys7rMGtkt5GupE3+EbeZmZDQl9u5P0ycFeFsZiZWZP5Hq9mZh3MSd7MrIOVSvKStpI0Kj/fU9KxktaqNjQzMxuosjX5E4DnJb0TOBT4G3BmZVGZmVlTlE3yi/OwwbsDx0fET4HR1YVlZmbNULZ3zUJJXwf2AraRtAy+sbeZWdsrW5P/JOkuT5+PiMdJwwb/sLKozMysKUol+ZzYL2TpyJNPAhdXFZSZmTVH2d41/w5cAJyYi9YEflNRTGZm1iRlm2sOALYCFgBExAPAqlUFZWZmzVE2yb8YES91T0gajm/IbWbW9som+T9LOgIYKWln4NfA76oLy8zMmqFskv8aMA+4E9gPuBz4ZlVBmZlZc5QdavgV4OT8MDOzIaJUkpe0FXAksFZeR0BExDrVhWZmZgNV9hevpwJfBqYDS6oLx8zMmqlskn82Iq6oNBIzM2u6skl+qqQfAheRhjcAICJuqyQqMzNrirJJfov8d2KhLIAdmxuOmZk1U9neNTtUHYiZmTVf2bFrVpN0qqQr8vQGkvapNjQzMxuoukk+3+bvzXnydOAqYI08fT9wcKWRmZnZgDWqyf8RODY/HxMR5wOvAETEYtyV0sys7dVN8hHxGLB/nnxO0irkQckkbQk8W314ZmY2EA0vvEZEdyI/BLgEWFfS9UAX8LGKYzMzswEq27vmNknbAeuThjS4LyJerjQyMzMbsLJj13ykR9F6kp4F7oyIuc0Py8zMmqHsj6H2Ad4DTM3T25PGsVlb0nci4pcVxGZmZgNUNskPB94eEU9A6jcPnEn6Jey1gJO8mVkbKnvTkHHdCT6bm8ueBmq2zUsaJ2mqpHsk3S3poIEGa2ZmfVO2Jn+NpEtJt/0D+GguGwXMr7POYuDQfNF2NDBd0tURcc+AIjYzs9LKJvkDSIl9qzx9JnBhRARQc1yb3M/+sfx8oaSZwJqAk7yZ2SAp24UygAvyo88kTQA2BW6uMW8KMAVg/Pjx/dm8mZnVUXaAsi0l3SppkaSXJC2RtKDkuisAFwIHR8Rr1omIkyJiYkRM7Orq6lv0ZmbWUNkLr8cDk4EHgJHAvsBPe1tJ0ghSgj87Ii7qb5BmZtY/ZZM8EfEgMCwilkTEacAujZaXJNK9YWdGxLGNljUzs2qUvfD6vKRlgRmSfkC6oNrbB8RWwF7AnZJm5LIjIuLyfkVqZmZ9VjbJ7wUMA74IfBkYR+ptU1dEXEca58bMzFqkbO+ah/LTF4BvVxeOmZk1U9neNZMk3S7paUkLJC0s27vGzMxap2xzzY+Aj5BGnYzqwjEzs2Yq27tmDnCXE7yZ2dBStiZ/GHC5pD8DL3YXumukmVl7K5vkjwIWAcsBy1YXjpmZNVPZJL9GRGxUaSRmZtZ0ZdvkL5f0/kojMTOzpiub5PcHrpT0grtQmpkNHWV/DDW66kDMzKz5GiZ5SW+LiHslbVZrfkTcVk1YZmbWDL3V5A8h3dDjmBrzAtix6RGZmVnTNEzyETEl/615iz8zM2tvpceTNzOzocdJ3sysgznJm5l1sLJDDUvSnpK+lafHS9q82tDMzGygytbkfwa8h3Qzb4CFlLiRt5mZtVbZsWu2iIjNJN0OEBHP5Hu+mplZGytbk39Z0jBS33gkdQGvVBaVmZk1Rdkk/xPgYmBVSUcB1wHfqywqMzNrirJj15wtaTqwEyBgj4iYWWlkZmY2YL2NXfOmwuRc4NzivIh4uqrAzMxs4HqryU8ntcMLGA88k5+vDPwDWLvK4MzMbGAatslHxNoRsQ7wB2C3iBgTEasAk4DfD0aAZmbWf2UvvG4ZEZd3T0TEFcB7qwnJzMyapWw/+UclfRM4K09/Gni0mpDMzKxZytbkJwNdpG6UF+XnkxuuYWZmLVe2C+XTwEEVx2JmZk3mUSjNzDqYk7yZWQdzkjcz62Blx5MfK+liSfMkzZV0oaSxJdb7RV7+roGHamZmfVW2Jn8acAmwOrAG8Ltc1pvTgV36FZmZmQ1Y2STfFRGnRcTi/Did1I2yoYi4FvD4NmZmLVL2x1BPSdqTpQOUTQaeakYAkqYAUwDGjx/f7+1M+NplzQhnSHk9HvPs7+/akv228ly36phfjzrxdS5bk/888AngceAx4GPA55oRQEScFBETI2JiV1evXw7MzKwPyv4Y6iHgwxXHYmZmTdbbePLfajA7IuK7TY7HzMyaqLfmmudqPAD2AQ7vbeOSzgVuBNaX9LCkfQYQq5mZ9VHDmnxEHNP9XNJo0vg1nwPOA46pt15hfQ9iZmbWQr22yedbAB5CGl74DGCziHim6sDMzGzgemuT/yHwEeAk4B0RsWhQojIzs6borU3+UNIvXL9JunHIgvxYKGlB9eGZmdlA9NYm7wHMzMyGMCdxM7MO5iRvZtbBnOTNzDqYk7yZWQdzkjcz62BO8mZmHcxJ3sysgznJm5l1MCd5M7MO5iRvZtbBnOTNzDqYk7yZWQdzkjcz62BO8mZmHcxJ3sysgznJm5l1MCd5M7MO5iRvZtbBnOTNzDqYk7yZWQdzkjcz62BO8mZmHcxJ3sysgznJm5l1MCd5M7MO5iRvZtbBnOTNzDqYk7yZWQdzkjcz62CVJnlJu0i6T9KDkr5W5b7MzOy1KkvykoYBPwU+CGwATJa0QVX7MzOz16qyJr858GBEzIqIl4DzgN0r3J+ZmfUwvMJtrwnMKUw/DGzRcyFJU4ApeXKRpPsqjKmvxgBPtjqINtWSc6OjB3uP/dLUczNEjrkv/H9VQ36d+3tu1qo3o8okX0pEnASc1Oo4apE0LSImtjqOduRzU5/PTWM+P/VVcW6qbK55BBhXmB6by8zMbJBUmeRvBd4qaW1JywKfAi6pcH9mZtZDZc01EbFY0heBq4BhwC8i4u6q9leRtmxGahM+N/X53DTm81Nf08+NIqLZ2zQzszbhX7yamXUwJ3kzsw7mJF+DpHGSpkq6R9Ldkg5qdUztQtJykm6RdEc+N99udUztRtIwSbdLurTVsbQTSbMl3SlphqRprY6nnUhaWdIFku6VNFPSe5q17Zb3k29Ti4FDI+I2SaOB6ZKujoh7Wh1YG3gR2DEiFkkaAVwn6YqIuKnVgbWRg4CZwIqtDqQN7RAR/iHUa/0YuDIiPpZ7Iy7frA27Jl9DRDwWEbfl5wtJ/7Brtjaq9hDJojw5Ij989T6TNBbYFTil1bHY0CBpJWBb4FSAiHgpIuY3a/tO8r2QNAHYFLi5xaG0jdwcMQOYC1wdET43S/0IOAx4pcVxtKMAfi9peh7OxJK1gXnAabmZ7xRJo5q1cSf5BiStAFwIHBwRC1odT7uIiCURsQnpV8ybS9qoxSG1BUmTgLkRMb3VsbSprSNiM9LItAdI2rbVAbWJ4cBmwAkRsSnwHNC0odmd5OvI7c0XAmdHxEWtjqcd5a+UU4FdWhxKu9gK+LCk2aRRV3eUdFZrQ2ofEfFI/jsXuJg0Uq2lwRsfLnwjvoCU9JvCSb4GSSK1j82MiGNbHU87kdQlaeX8fCSwM3BvS4NqExHx9YgYGxETSMN4/Cki9mxxWG1B0qjciYHcFPF+4K7WRtUeIuJxYI6k9XPRTkDTOnm4d01tWwF7AXfmtmeAIyLi8taF1DZWB87IN4VZBjg/ItxV0HqzGnBxqj8xHDgnIq5sbUht5UvA2blnzSzgc83asIc1MDPrYG6uMTPrYE7yZmYdzEnezKyDOcmbmXUwJ3kzsw7mJG9DSh4d9AM9yg6WdEKDda6R1O+bI0s6XdLf8+iJMyQdmMtnSxpTWG57SZcqeVLSG3P56pJC0taFZedJWkXSkXneW3ocTwwkZrNuTvI21JxL+qFR0adyeVPk3wD09NWI2CQ/ftJo/Uj9km8CuoeLfS9we/5L/tHLUxHxVJ5/J68+po8DQ+1WmdamnORtqLkA2DX/aKR7ALk1gL9IOkHStEbj3EuanMc0v0vS0YXyRZKOkXQHS5PzQNxATur573G8OulfX1j2N8DuOY51gWcBD8drTeEkb0NKRDwN3EIa5ApSDfj8XHv+RkRMBDYGtpO0cXFdSWsARwM7ApsA75a0R549Crg5It4ZEdfV2PUPC8017yiUT+0u59XDC1/P0iS/OWmslnF5+r2kD4FuC0g/a98oH8+vej8TZuU4ydtQVGyyKTbVfELSbaSmkQ2BDXqs927gmoiYFxGLgbNJ43gDLCENSFdPsbnmzkL5Dt3lwL6F8luBTfM4LSPyGPyzctt7z5o8pAHNPgXsQfpAMGsKJ3kbin4L7CRpM2D5iJguaW3gK8BOEbExcBmwXB+2+c+IWNKsACPieeAB4PPAbbn4JuBDwKrAfT1WuZQ0XtI/PKy1NZOTvA05uVY8FfgFS2vxK5LG4X5W0mosbc4puoXUjDMmX1ydDPy5wlBvAA4GbszTN5JuDXhT9Bg0Kn8oHA4cVWE89jrkJG9D1bnAO/NfIuIOUjPNvcA5vLY5hIh4jHQzhqnAHcD0iPhthTFeD6zD0iR/G+lGKzfUWjgizuu+7aRZs3gUSjOzDuaavJlZB3OSNzPrYE7yZmYdzEnezKyDOcmbmXUwJ3kzsw7mJG9m1sH+H6Wv6raXBKdBAAAAAElFTkSuQmCC\n", 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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -949,7 +1119,7 @@ } ], "source": [ - "FWHM_x = np.array(FWHM_x)\n", + "FWHM_x = abs(np.array(FWHM_x))\n", "print(FWHM_x)\n", "stdx = FWHM_x.std()\n", "print(stdx)\n", @@ -966,18 +1136,18 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[2.37950509 2.36817223 5.74471173 2.24643126 3.07476263 2.03828481\n", + "[2.37950509 2.39373303 5.74471173 2.24643126 3.07476263 2.03828481\n", " 4.78060292 2.29083287 2.9600544 2.6776296 ]\n", - "1.1646255434323523\n", - "3.056098753225378\n", - "2.528567342321698\n" + "1.1631400032813368\n", + "3.0586548336966284\n", + "2.5356813151856628\n" ] }, { @@ -994,7 +1164,7 @@ } ], "source": [ - "FWHM_y = np.array(FWHM_y)\n", + "FWHM_y = abs(np.array(FWHM_y))\n", "print(FWHM_y)\n", "stdy = FWHM_y.std()\n", "print(stdy)\n", @@ -1020,7 +1190,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -1037,7 +1207,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -1093,7 +1263,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1149,7 +1319,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -1205,7 +1375,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -1261,7 +1431,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1317,7 +1487,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1373,7 +1543,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -1429,7 +1599,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -1485,7 +1655,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1541,7 +1711,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -1598,7 +1768,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1626,7 +1796,7 @@ } ], "source": [ - "FWHM_xr = np.array(FWHM_xr)\n", + "FWHM_xr = abs(np.array(FWHM_xr))\n", "print(FWHM_xr)\n", "stdxr = FWHM_xr.std()\n", "print(stdxr)\n", @@ -1643,7 +1813,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -1697,7 +1867,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -1714,7 +1884,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -1770,7 +1940,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -1826,7 +1996,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1882,7 +2052,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1938,7 +2108,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -1994,7 +2164,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -2050,7 +2220,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 49, "metadata": {}, "outputs": [ { @@ -2106,7 +2276,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -2162,7 +2332,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -2218,7 +2388,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 52, "metadata": {}, "outputs": [ { @@ -2275,7 +2445,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -2291,7 +2461,7 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -2303,7 +2473,7 @@ } ], "source": [ - "FWHM_xg = np.array(FWHM_xg)\n", + "FWHM_xg = abs(np.array(FWHM_xg))\n", "print(FWHM_xg)\n", "stdxg = FWHM_xg.std()\n", "print(stdxr)\n", @@ -2312,7 +2482,7 @@ "medianxg = np.median(FWHM_xg)\n", "print(medianxg)\n", "plt.hist(FWHM_xg.flatten())\n", - "plt.title('Valores FHWM en la dirección x para la image verde')\n", + "plt.title('Valores FHWM en la dirección x para la imagen verde')\n", "plt.xlabel('Valor FHWM')\n", "plt.ylabel('No de imagénes con ese valor')\n", "plt.show()" @@ -2320,7 +2490,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -2336,7 +2506,7 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -2357,7 +2527,7 @@ "medianyg = np.median(FWHM_yg)\n", "print(medianyg)\n", "plt.hist(FWHM_yg.flatten())\n", - "plt.title('Valores FHWM en la dirección y para la image roja')\n", + "plt.title('Valores FHWM en la dirección y para la imagen verde')\n", "plt.xlabel('Valor FHWM')\n", "plt.ylabel('No de imagénes con ese valor')\n", "plt.show()" @@ -2374,7 +2544,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ @@ -2391,7 +2561,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 56, "metadata": {}, "outputs": [ { @@ -2447,7 +2617,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 57, "metadata": {}, "outputs": [ { @@ -2503,7 +2673,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 58, "metadata": {}, "outputs": [ { @@ -2559,7 +2729,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -2615,7 +2785,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 60, "metadata": {}, "outputs": [ { @@ -2671,7 +2841,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -2727,7 +2897,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -2783,7 +2953,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 63, "metadata": {}, "outputs": [ { @@ -2839,7 +3009,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -2895,7 +3065,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 65, "metadata": {}, "outputs": [ { @@ -2952,7 +3122,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 66, "metadata": {}, "outputs": [ { @@ -2980,7 +3150,7 @@ } ], "source": [ - "FWHM_xb = np.array(FWHM_xb)\n", + "FWHM_xb = abs(np.array(FWHM_xb))\n", "print(FWHM_xb)\n", "stdxb = FWHM_xb.std()\n", "print(stdxb)\n", @@ -2997,7 +3167,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 67, "metadata": {}, "outputs": [ { @@ -3044,21 +3214,22 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Comparemos los cuatro valores" + "### Comparemos los cuatro valores\n", + "En dirección x" ] }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 68, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "1.2025192371430922 1.1372820062135576 1.1920847689204435 1.3018950466931847\n", - "2.936964690381042 2.8341979943625044 2.824878448558046 2.9826105946190706\n", - "2.5282582730707905 2.463149381278507 2.4248660798025896 2.517525641845777\n" + "1.2020310334918178 1.1372820062135576 1.1920847689204435 1.3018950466931847\n", + "2.9384954478212486 2.8341979943625044 2.824878448558046 2.9826105946190706\n", + "2.5359120602718237 2.463149381278507 2.4248660798025896 2.517525641845777\n" ] } ], @@ -3068,18 +3239,25 @@ "print(medianx,medianxr,medianxg,medianxb)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En dirección y" + ] + }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 69, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "1.1646255434323523 1.0760536200525121 1.124040162412368 1.2195655968098804\n", - "3.056098753225378 3.1061821513502625 3.0993105893913597 3.1088833661340964\n", - "2.528567342321698 2.816983594395095 2.7883844225138326 2.607229344995009\n" + "1.1631400032813368 1.0760536200525121 1.124040162412368 1.2195655968098804\n", + "3.0586548336966284 3.1061821513502625 3.0993105893913597 3.1088833661340964\n", + "2.5356813151856628 2.816983594395095 2.7883844225138326 2.607229344995009\n" ] } ], @@ -3107,12 +3285,3097 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Para la escala de grises y cada uno de los canales, en algunas estrellas, y para cada canal, debà cambiar el punto inicial p0 para que la gaussiana fuera mas apropiada. También, elegà los valores de p0 de tal manera que los valores de sigma_x y sigma_y fueran siempre positivos.\n", + "Para la escala de grises y para los canales, debà cambiar el punto inicial p0 para que la gaussiana fuera mas apropiada, e.g. para la Estrella n, debà usar cuatro valores de p0, uno para cada canal y para la gris. También elegà los valores de p0 de tal manera que los valores de sigma_x y sigma_y fueran siempre positivos.\n", "\n", "\n", "El valor para el FWHM si cambia dependiendo del canal del que se parta para hacer el ajuste. Mirando los valores de la desviación estándar, el promedio y la mediana se ve que hay diferencias, sin embargo, los valores podrian considerarse como iguales para los cuatro casos. Igual teniendo en cuenta que el valor inicial p0 para cada estrella debio ser modificado para cada canal." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ahora, incluyendo las incertidumbres" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Escala de grises" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [], + "source": [ + "# -- listas para guardar los valore del Full Width at Half Maximum\n", + "FWHM_xi = []\n", + "FWHM_yi = []" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 1" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[191.03306608 0.88416723 0.97198929 2.00370142 2.04447666\n", + " -0.30033141 70.9737103 ]\n", + "2.0820547263026454 2.28885986684923\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_1 = gr_img.copy()\n", + "str_1 = str_1[283:288,890:895] \n", + "plt.imshow(str_1, cmap ='gist_gray')\n", + "plt.show()\n", + "\n", + "p0 = [71, 1.2, 11, 1, 1, 0, 0]\n", + "determinar(str_1,p0,FWHM_xi,FWHM_yi,incer=str_1.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 2" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[200.04931224 1.06771002 1.01254502 2.37072665 2.22891783\n", + " -1.63770305 71.38762112]\n", + "2.514264960806871 2.3843613096910805\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_2 = gr_img.copy()\n", + "str_2 = str_2[252:257,949:954]\n", + "plt.imshow(str_2, cmap='gist_gray')\n", + "plt.show()\n", + "\n", + "p0 = [57, 1.3, 2.5, 4, 1, 0.5, 0]\n", + "\n", + "#p0 = [60, 30.4, 11, 0.01, 1, 0, 0]\n", + "determinar(str_2,p0,FWHM_xi,FWHM_yi,incer=str_2.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 3" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[165.09149595 2.56740779 2.48379149 8.25953555 6.79491264\n", + " 1.52624294 97.1682973 ]\n", + "6.045783318082368 5.848881983108898\n" + ] + }, + { + "data": { + "image/png": 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7HEuTEC0A18TjnJRM8guvl3myHlQIkQf/LinhI5+PW7Zvl92M9kFC1OKGpVL8MhrlTaeTv7ndZpcjhGgvlOKOTp2IKsUfamuxS7fuHkmIWliJ1jwRDlNjs3G9jIMKIfJsi8PBLzp14pB4nOvq6swux5IkRK1Kax4Mh+lhGFzp91Nvk6dKCJF/7wQCvBII8KO6OsZEImaXYzkqn/vZ2mw27c5xl2S+thZ05XiJyUWJBH+MRvltIMCf/P6cXivXjwWgrKws59fo1atXzq8BUFpamvNr5OP7BRDKwxZv27Zty/k18nWdSB5CJJang7Kj0WizP9drGLy1ZQvlhsGJnTuzpZlr1PPx8wWQyvEOS9FolHQ6vcdwkeaNBR2YTvP7aJRPXC4ekW39hBAmi9psXFNZSYnWPLJ9OzYZH91JQtRivFrzZCRCo1JcV1qKlnFQIYQFLHE6ub2sjMMTCW6U3Yx2khC1mN9HoxxgGFzl87FVtvUTQljIS34///b5uDEY5PA8dTtbnYSohZydSHBRMskDbjefynpQIYQF3VFWxjKHg0fq6ugsh3hLiFpFn3Sah6JRptnt/E7WgwohLCpqs3F1ZSV+GR8FJEQtwaU1/4hESCnFlT4faRkHFUJY2LLM+Oi4RIKb2vn4qISoBfwqFmOYYXCt18t6WQ8qhCgAL/v9/Mvn44ZgkPHteHxU7tgmOzmZ5JpEgr+6XLwjRw4JIQrIHWVlLHU4+FNdHVXtdHxUQtRE3QyDR6NR5tps/MLjMbscIYRokVhm/agvMz7aHvfXlSmgJrFrzd8jEZxac5nfT0LGQUULBaJRBmzaRP+NG6kMhfAmEoQ8HsKZX6HMr7DHQ8jtJuz1EnK7iblcsg+zyJplTie3lZfzcF0dNwWD3JeHHb2sRELUJLfG44xNp7nC62WlrAcVzVAaDjNw0yYGbNxI/02b6JrZEDzhcFDn9xP0eum6fTuBWAx/PL7XWZNpm60pVD0eGp1Ogm43Ibd7n79HXS7Z+EPs1X98PsbG41wfDPKly8Vn7ahnTULUBIenUtwcj/Os08nLedi3VhQeRzpNt23b6LVlC71qa+m3eTNVmcORY04nK7p0YfrAgSyvrmZNp06kd3sjprTGG4/jj8V2hmogGm36PRbb+XFvOEx1YyOBeJxAPI5jL8FrKEXI5WJ1ZSVf9O7NrB49iMjPrtjF/5WVMSyR4I91dRzbuTPb2knjQDagb6W2bNr+WihEP8NgVEkJkX3U68nTuznZgL5lsr0Bvc0w6N7QQN/t23f+6llfj8MwAAh6PKyqqmJZdTXLunZlXceOGFmaxf2NDcK1xptMEojHKcmE6q6/l8ZiDNm0iU7hMEmbjXlduzK9Vy9md+9OfB+T4mQD+pax4gb0zTUwmWRSbS2PBALcW1bWLjagl5Zonh2QTnNkOs3/c7v3GaCiOCmtqW5s/EZg9q6rw5WZ2Rh2OllVWcmHQ4eyplMn1nTuzPZAID9jmEoRdbmIulxsKSnZ8+doTd9t2xizejWj165lxPr1JOx25nbrxhe9evFVt24kZLetdmup08m7Hg8XhcP8qaSE/ESoueSnPc+uSCSIAc9KV1i74E0kOGTTpv8F5vbt+DLvmmMOB6sqKpjUvz8rKytZ2aEDNYEAWqm8HYXWYkqxsmNHVnbsyAsjRjBgyxZGr1nDqDVrGLV2LTGHg9nduzO9Vy/mde1Kqp106Yn/eSwQYGIsxvcjER4xu5g8kO7cVmpNF2ip1ixsbOR1p5Nrm3HEmXTntoyVunPthsGxy5dz9vz5lCQSJGw21lRUsKqykpWVlazo0IGNJSXovXTLFtp5osowOLC2ltGrV3PYunWUxOOEnU5m9+jBB5WVzOnQgXSONxKR7tyWyUV37g6vbtlCx3SaQ/1+jDzck6U7t504N5EgADwurdDipTUjN2zgvLlzqQ4GWdC5My8PHcryyspvTf4pJtpmY2GXLizs0oVnRo1i8ObNjFm9mhHr1jF+5UoanU4+r6ri0+pq5ldWZm1MV1jT44EAj2/fzimpFG8U+SYy0hJtpZa23pTWfBkKUa8UxwcCzfo/0hJtGbNbon23beP8OXM4cMsW1peW8s9hw5jbtWurxjMLrSW6N450ml5LljBh82bG1NTgS6epc7mY2qULn1VXs6CiImtLZ6Ql2jK5bInatOazmhpqgBObeb9rC2mJtgNHplIMMAyu8nrNLkVkWcdwmO9/9RWHr1lDg9vN3w87jE/69pXWFpCy2/myqoovq6pwpdMctmULEzZt4rj16zl17Vq2ut1Mrq7msy5dWFJeLptAFAlDKf4eCPCbhgYOS6WYUcSTzYr3kVnMVYkEW5Ti1SLv2mhPvIkEZyxcyElLloBS/Pegg3jzwAOJynO8Rwm7naldujC1Sxc8qRSjams5ctMmTl2zhjNXr6bG62Vyly581LUrq9vZrjfF6F8+Hzc3NnJdPM7FEqKiLXoaBielUtzvdsv2fkVg10lD/kSCKb178+9DDmF7MyaLiSYxh4PPunbls65d8SWTjKmtZcKmTXxn9WrOWrWKf/bvzwv9+8suSQUsarPxpMvFTfE4vdNpVhfpnAAJ0Ty4LRYjCTwlE4oKm9aMqanh8qVLd04aen74cFZXVppdWUGLOJ181K0bH3XrRkkiwZWLF3PB8uUMqq/nvkMOoVFeNwXrcZeLH8fjXJtIcEuRDmVJiObY6FSK85JJ7ne72SBjZAVrQH09ly9axJDt21lfWsq9Eya0etKQ2Lugy8UDBx/MwvJyrlm4kD9Oncpvhw9nWXm52aWJVqix2XjJ6eT8RIK73W7qi/AeWHyPyEJsWvOHaJT1SnF/jmcli9zoFInw0zlzeHDqVLqHQjw6ZAi3nnwyc7t1kwDNFaV4t2dPfjp2LFop7vviCyauXQvt8JitYvCo240fuCyRMLuUnJCWaA5dkkgw1DC4xOuVLf4KjC+Z5HvLl3P66tVo4MX+/flP375EnU5Ki/DdtBUtKyvj+nHj+NlXX3HdggUcWFfHI0OGEC/SsbVitdBuZ5LDwVWJBI8U4byQvK4TVUrl/GK+PE3u2N+uNZWGwZQtW1jgdHJORUWrWi35WifqyMPMub59++b8Gj179mzz17AbBhMWLeK02bPxx+N8MWAAr44YQd0ua9369evX5uvsT3V1dc6vAbldK7jDypUr2/T/ldYcM20ax0+dSk3Hjjx7xhls3cM49OLFi9t0neaoyxw/V+jXgNyvEQZoyJw8dFQyyX/DYa71enkhB71yyWQy619zV7JO1AS3BoOUaM0dJSXS7VcItGbYmjV898svqWpsZHF1NS+NHs3ajh3Nrqzd00rx4bhxrK2u5gdvvcX1zz7Lv08+ma8HDjS7NNFMnzgcfG2zcV08zgtFdii89EvlwNBkkvOjUZ7w+VgqawYtr/eWLfzsrbf40aRJGErxpxNO4P6JEyVALWZZnz48fNFF1HbowEWvvcYpn3yCLXNcnLA4pXjE42GwYXBMjncXyjdpiWaZ0prfNjay1Wbj/jxsdyVarzIY5KyZMxm9YgWNHg/PHX44kw84QHYasrD60lL+cu65nPbxxxw5YwY9Nm3i+dNOIyivNct7xenkF0pxXTzOR0XUuJAQzbJzolFGJpNcX1ZGUG7GljVw0yZ+9P77OAyDt4YN492hQ4nJesSCkHY4ePX441nTrRtnv/8+Nz79NM+dfjq5HxEVbZFUisfdbv5fLMaQdJqvi2SCmNzls6jUMPi/UIgZTicv52lSkGi5Q9as4cZ336XB5+OX3/0ur44cKQFagOYMHsyfzj+fmNvNVf/6F99ZsUKWwVjcUy4XIeDaPG2ynw8Soln001CIDobBHaWlsl2ZRY1bupRrJ01iXWUl9552GltLSswuSbRBTadO/PHCC1kwYACXLVzIrTNn4svxTE3Reg02G8+5XHw3maS6SMazJUSzZFAyyaWRCM96vcwvov7+YnLCvHlc+tlnLOralQcmTiQkvQVFIe5289zpp/PE4MGMrqnhgcmT6d3YaHZZYi/+4nZjA66Kx80uJSskRLMhM5moUSl+Ly0b69Ga706fzjlffsmMPn145IQTiMsbneKiFK/168cdY8fiTqX4w+TJHLVundlViT1Ya7fzutPJJYkEgSLofm9ziCql7EqpOUqpN7NRUCE6IxZjXDLJPSUl1MlkIkuxGQaXfPYZJ86fz8cHHsjfjj6aVJFMaBDftrBDB26aMIGlFRX8ZO5crpk3D0c6bXZZYjePut2Ua835RbAVYDbu+DcAi7LwdQqSzzD4RTDIPIeD54v0lIJC5UyluGbSJA5ftozXDz2Uf44bh5Y3OUWv3uPhzjFj+E+/fpy8Zg2/nzqVTpGI2WWJXcxyOJhmt3NNPI69wFujbbqjKKW6A6cAf89OOYXnxnCYrobB7aWlGDKZyDK8iQQ3vPsuQ9eu5flx43jj0EOLapcUsW+GzcbTgwdz98iRdA2HefCzzzi0ttbsssQuHnG76WUYnFrgE8Ha+rb8IeAWYK/TrJRSVymlZiqlZrbxWpYTMAyuDId5yeNhliyRsA6tueLjj+lXU8Pfjz6aTwYPNrsiYZIvqqv5yfjxbPN6ufPLLxm9ebPZJYmMd51OVtlsXFDgXbqtDlGl1KlArdZ61r4+T2v9uNZ6pNZ6ZGuvZVUnxuN4gGfytOm9aJ7jv/6aoevW8dKYMczIw2bxwto2BQLcOm4cK8rKuGXWLIZt2WJ2SQIwlOIjh4NRqRS2Au7SbUtL9HDgdKXUauBF4Bil1HNZqapAnBqLsdFmY5bM9LSM3rW1nDVjBnN69eIjaYGKjKjTyf8bPZoNfj+3z5jBgdu2mV2SAL5wOCgFDirgyV+tDlGt9W1a6+5a697AucBHWusLslaZxQUMg6Picd7yeGRjBYvwJhJc9fHHNPh8PDV+vIyBim8IuVz8YuxYtno8/OLLL+mdOaZLmGda5hjGMe0xRNu7EzJdua/Lgn1r0JqLJk+mMhTib0cfTUSeF7EH9W43d44dS8zh4JZZs3AX2YkihWaDzcY6pRhbwM9DVkJUa/2J1vrUbHytQnGadOVaysT16xm5ahWvjhzJiqoqs8sRFrbN6+WB4cPpGg5zxYIFZpfT7k1zOBiTShXsvsfSEm2FEq2lK9dC+gSDXLNkCV937857Q4eaXY4oAPM7duSV/v05ce1axm3caHY57doXDgfVWtO7QPfSlRBthYnpNB7gDekyNJ07leL2efMIOhw8eeSR7fNNjdaUbdyIf9s2VAF3i+Xb8wccwNLycq6bN4+O0ajZ5bRbhT4uKueJtsKZ6TQbbTZmSleu6a5bvJju4TC3jhhBsJ3tGFW6cSN9p02j7xdfUJJZtqGVIlZSQqSigkh5edPve/iV8Pna/cSrtM3G/YceykOffspNc+Zw59ixsmGKCZbYbNRlxkVfLMD19hKiLVSiNcen0zzr87XPVo+FHLtxIyds3MjzffvyVYcO9DS7oDzwNDTQZ/p0+k6bRsdVqzCUYtNBBzH/1KYpCb66up2//Nu302nlSjzB4Le+TsrlIlJeTqisjHBZGeHy8m/9ipSVYTiK+xaxye/nsYMP5sa5czl7+XJeGjDA7JLaHa0U0+32pnHRAlTcr5AckK5ca+geDvPjRYuYV1HBc337ml1OTjnicXrMmkXfadPoumABNsNgW69ezDjvPFaNHk20vHyf/9+WTOKrr/9GwPrq6vDV1+Peto3Oq1fjr6/HsYebWDQQ+Eawrj3oIFYfckhRtWI/6t6dQ2tr+cGSJXzVsSNLKyrMLqndmeZwcFIsRkfDYGuB7W8tIdpCZ6bTbFBKunJN5EynuX3ePBI2G/ccfDBGgb3omkOl01QvXEjfzz+n5+zZOONxQh068PXEiawcO5aGbt2a/bUMp5NQp06EOnX61r9Fd4wFao07HMZfX//NXw0NO/9ctXIlg6dMYe3gwUw+91yCe/h6BUkp/jJ0KAfU1XHz7NncOGECUXl959UXmR6P0akUbxVYl66EaAvs6Mp9wuGQrlwTXbV0Kf2CQe4cPpxtxdQjoDVVGzcyZM4chsyfj7exkbjPx8qxY1k5diy1AwZArt4wKEU8ECAeCLC9e/c9f0o6zZBPP+WwN97g+3fdxeyTT2buccdhFEHghJ1OHjj0UO6eOpUffv01Dw0fbnZJ7cpcu50oMDad5i2zi2mhvIeoI8djLG63O2df+7REAg/wpteLLw/75QYCgZxfA3L/nABUZWnt5sg1azh93TreHjyYNUOGsOtX7ZenfXKPOeaYrH4918aNdHjvPTq++y7e1asxnE5ixx3H1jPPJHbMMfjdbg7O6hX/J9nSEzQmTmTzTTfR4a67GPX66wxbsIBtv/kNsdGj9/pf5s2b18YqmyfSxuPOwj178m4iwSkzZrB20CBmHnDAtz6nxd+vVojFYjm/BkA8Hs/5NZp7bzGAOQ4H49LpVt2P8vG87I20RFvgO4kEG5XiS7udcrOLaYc6BoNcPm0aKzp04KVhw8wup00cDQ1UfPghHd95h5JMyDQOH87m885j+zHHUDVokMkV7l26SxdqH30U78cf0+H//T+qzzuP4Nlns/3WWzE6dDC7vDZ5b+RIBq1fz/c//ZRVXbqwrazM7JLajY9cLv4vEqF/KsXyAprQVnyDSTlSojXHJpO84XJJV64J7IbBtVOmAPDo+PGk7XaTK2o5FY9T8eGHDPjZzxg2cSJ9fv977MEg6665hrmvvsriv/6VLd/5DunSUrNLbZbo0Uez4d13qb/2WgKvv073444j8K9/QYEumofMOaTHHQdKcckHH2Ar4MdSaJ73eIgDl+WpJZ4thRP3JjshmcQDvFpgg97F4rtz5tB/61b+NGECW0tKzC6n+bSmZM4cOrzzDpUffYQjFCLRsSM13/se204+mciAAQU901V7vdT99KeEzjiDDnfeSafbbqPk5ZfZetddJC3cmt6X7aWlvHjUUVz6/vucPGMGb+2jq1pkz1abjdfcbs6Nx/mtz0e4QCYMSog20xm7dOWK/Bq6YQOnLFzIhwMHMqNXL7PLaTZ7KETv3/2ODpMmkfb52H700Ww76SQaR4yAIvs5Sg4YwOYXXiDwyitU3n033U47jYbLL6f++uvNLq1VZg0YwIFr13LirFks7tGDFV27ml1Su/CEx8P34nG+H4/zZIFsnlIYUW+yEq05TrpyTVERiXDV1KmsrajgnyNGmF1Os7k2buTAK66g4uOP2XD55cx55x1W/eIXNI4aVXQBupNShM4+m/WTJhE6+2zKH3+c7iecQJcvvzS7slZ5afx4tpWUcPEHH+AtsC7GQjXb6WS2w8HlsVjBbEgvIdoM0pVrDmUYXD1lCu5UikfHjydZIJMNAvPmcdBll+HaupUlf/wjG666CqOYluLsh1FRwdZ77mHjv/6FEQgw+u67GXX33XgzWxMWirjLxVMnnEBZJMJ5n3xSMDf1QveEx8PAdJrxJs64bQkJ0WaQrlxzfGf+fA6sqeHp0aPZVCCzJDu8+y6Drr2WtN/PwiefJDhypNklmSZ+2GFseOMNFlx0EZ3mzuWY666j36uvFtQm+Wuqqnhz1CgOXbGCMYsXm11Ou/Ca281WpZpaowVAQnQ/AtKVa4pBmzdzxvz5TOnblyl5Wv/ZJoZBt8ceo98vf0no4INZ+OSTxHq2h91898PpZPlZZ/HRn/7E1oMPZshTT3HkT39KRQEF0qThw1nSrRvnfPYZ3cJhs8spenGleM7j4aREgu4FcLKLhOh+nChduXkXiMW4ZsoUNpeU8PSoUWaXs18qFqPfnXfS7ckn2XLaaSz54x9JFUjLOV+iVVVMv+MOpt96K65gkAm33sohf/4zzj1sjm812mbj2eOOI2W3c8tXX+GQZS8591Rm+OPSAmiNSojuh3Tl5t8FM2ZQEo/z6PjxxC2+pZxz2zYOvPZaKj/8kLXXXceqO+5AW7xm0yjF5jFj+PCRR1h++un0nDSJY6+7ju4ff2z58cb6QIDnjzmGgY2NXLRsmdnlFL0NdjvvuFycH4vhsfjPhoToPkhXbv4dsn4941av5vUhQ1hXWWl2OfvkXbqUwZdeinfFCpb9/vdsvvDCgl7zmS9pr5cFl13Gp/fdR7iqihEPP8y4O+8ksH692aXt07y+fXm7e3fOWbWKYVu3ml1O0fu7x0MHrflOHrYnbAsJ0X04LtOV+5q0LPLCbhhc/OWXrC8r440hQ8wuZ5+8K1cy+Ic/RBkGix57jPojjzS7pILT2Lcvk++5h7nXXEPZqlUcfeONdJs82eyy9unxQYNY6/dz8/z50q2bY1OdThbb7Vxs8S5dCdF9GJxOkwJmFsjSikJ3yIYNdAyHeWn4cGtv65dK0eeuuzBcLhY88QSRAt2ZxxJsNtaceCIfPfoo2wcO5NAHH6T688/Nrmqv4g4HTx5wAB3jcQ7Zts3scoqbUrzhcjE8lcJv4S5dCdF96JdOs9ZmIyVddHkxYfly6r1evmrBWZlm6PLCCwQWLmTNzTeTzNLpNO1dvLyc6XfeSd3AgYx84AFLd+3O7tCBiN3O4TU1ZpdS9GY5ndiBQyy8ZlRCdB/6GgYrC2T/xkJXFo1yyIYNTO3Tx9KHbFfW1tL98cfZfuSRbD/+eLPLKSopr5cvb72VtMvFkCeesOxko6TdzvTOnRlXUyMb1OfYrEwv4GEWXlts3buV2bSmbzrNSit3KxaRcStXYteayf37m13KXinDYOJ//oPh8bDm5z+XSUQ5kCgvZ/G551I1Zw5VM2aYXc5eTa2qoiyZ5OC6OrNLKWr1NhvL7HZGSIgWnk5aUwLSEs0HrRm/YgXLOnVio4XXV478/HO6r13LmptuIlng52Za2aqJEwl2786QJ5/EZtFuvJkdOxKz2aRLNw9mORyMSCYt2zMhCbEXfTPdNNISzb2+W7fSvaGByRbemah861YmvP8+yw84gG0nn2x2OUVNOxzMv+IKAps30+/1180uZ4/iDgczO3ViXE0NyqI392Ixw+Ggs9b0smjXuYToXvTNbDclLdHcm7BiBXG7nS+sesyZYTDxlVdI2+28e+aZ0o2bB1uGDWPTqFEMfOklPBadBTulqooO8TgH1tebXUpRm5VZYjjCor0SkhB70dcwSAFrJURzypVKMWb1amb06kXMolsrHjp9Oj1XreKjU04hZOHu5mLz9WWXodJpBj/zjNml7NGMzp1JKsURmzebXUpRW2y3E8a6k4skIfaibzrNGlneknMj167Fl0zymUW7csu2b+eod99l5YABzCug80yLQaRLF5Z/5zv0+PRTKhctMrucb4k4HMzu2JFxNTWWHa8rBmmlmO10WnZykYToXvQ1DFZJKzTnJixfTk0gwBIrrrfUmpNfeQUNvHvWWdKNa4JlZ59NtEMHDv7b38CCJ3pMqaqiKhZjYGOj2aUUtVkOB0NSKUvuoyspsSeZ5S0rZFJRTnUMBhlcU8OUfv0suTfxITNm0HvFCj6eOJHG8nKzy2mX0h4PCy6+mPKVK+n50Udml/MtX3TuTEopDpcu3Zya4XDgBA6xYGtUQnQPZHlLfoxfuRIDLHleaGl9Pce8/TZr+vZl7mGHmV1Ou7Zh/Hi2HXggg599FkcoZHY53xByufiqspIjpEs3p2ZbeHJRXjeFtdvtlOV4Yobb7W7z1zgwc2rABq8Xb+Zcu9058rCfrmcv1842v9+f82vs/rwrrTly1SqW9OhBqmtXsvFT0b179yx8FUBrjn7hBexaM+dHP6J7587f+Ochedgc3+v15vwaADoPN/5YFjYQb7jrLirPOYcx779P7a237vFzFixY0Obr7M+6deu+9bEvunXjR/PmMTAWY3UW7m+uPE2wy8d1VJZ6mLbZ7ay22RiZSu3xaxo5Xv6yr9eJNLX2oE9m7GWVbDyfMwPXr6cyGOSLAw80u5Rv6Tt5Mt3mzWPO979PaLcAFeaIDx5M/Xe/S+Xzz+Navtzscr5henU1aWDcpk1ml1LUZjqdjEylLNfilxDdgz6pFElgnYyJ5syYhQuJuN3M69vX7FK+wVtXx4jnn6fmgANYctxxZpcjdrHlhhsw/H6qfvc7S91IG9xuFnbowFgJ0Zya6XRSbRh0tdimCxKie9AnlWK93U7agpNdioE3FuOQlSuZOXAgKSu19rVm9D/+gT2Z5IsrrgAZE7eUdGUlW667jsC0aQQ+/NDscr7h865d6RkM0j0YNLuUorVjM3qrLXWRu8Qe9EmlWGmlm3uRGbFsGc502nJdub0//5zuc+bw1Xe/S7BLF7PLEXtQd+65xPr3p+ree1GZuQtW8EXm50Vao7mzwOEgChxmsclFEqK705re6bSMh+bQmEWL2NChA+s6dTK7lJ089fUc9txzbOnfn8UnnWR2OWJvHA5qbrsN1/r1VP7jH2ZXs9N2r5fFFRWM27jR7FKKVkopvtqxGb2FSIjuppNhENCa1TIemhPVW7fSq7a2qRVqle5yrRn19NM44nGmXXEFWrpxLS0ydiyNxx9Px7/9DYeF1md+Xl1N38ZGqsJhs0spWjOdToamUrgsNCYud4vd9Mn0t0tLNDfGLFpEymZj5gEHmF3KTj2//JKeM2cy78wzaezWzexyRDPU3nILGAad77/f7FJ2mlZdDcgs3Vya5XTiBoZYaFxUQnQ3vTPLW1ZLiGadPZ3msKVLmd+nD6E8rYPcH3djI6OefpptffqwcOJEs8sRzZTs1o1tl11G2Vtv4Z050+xyAKj1+1leVibjojk0c8fkIgt16UqI7qavLG/JmYNWr6YkGmW6hSYUHfbsszgjET6/8kp0IT7nWsM//wkXXQQnngj/93/wxhvQDg6L3nbFFSS7dKHL3XdbZl/dz7t25YC6OjpGo2aXUpRq7HbWZTZdsIo2hahSqlwp9bJSarFSapFSamy2CjNLn1SKdbK8JSfGLFpEg8/Hop49zS4FgO4zZ9L7iy/4+jvfoaFHD7PLabn16+GMM1AXXIB67jnYsgV+/3vUGWegqquhd2/4/vfhvvvgs8+gyMbqtNdLzc9+hmfxYspfftnscoD/demOkdZozsxyOouqJfow8K7WehBwCGC984paqHcqJeOhOVAaDjN4zRqmDxqEYYGJO7ZEglHPPMP2Xr34+tRTzS6nZQwDHn8chgyBDz9E338/OpmE2bOhvh792Wfo++6DMWNgxgzULbegjjoKyspg2DC48kr4299g3jyw0Dv61giedBLhkSPp9PDDeCzQ+tsYCLC6pERm6ebQTIeDnoZBZ4v0PrT6bqaUKgMmAE8AaK0TWuv6LNVlDq3pI8tbcuKwJUuwa22ZtaEDPvkEX10ds84/H11Iz3dDAxx/POrqq2HEiKYgvOkm2NEV7ffDEUfAT34CL74IK1eiN29Gv/463H47VFfDK6+gfvhD1LBhqIoK1FFHwd13g4Xe3TebUtTcfjv2xkbGW2QDhmnV1Ry4fTvlWdgzWHzbrMxm9Fbp0m1Lk6APsAX4h1JqjlLq70qpb+1krpS6Sik1Uyk1Mx+bXbeFT2v8WrOpEMfGLK7vpk1sqqxkS0WF2aUA0G3uXOq6d6fGIqHebI8/jvr4Y/Rf/gKTJkFzTsDp3BlOPRV+/Wt45x3YuhW9ZAn62WfhsssgHsd2552o00+HAjwXMz5oEMHjj+eAhQvNLgWArzp1wgb0bWgwu5SitDjzprdvobdEaToB5lDgL1rr4UAY+NbxClrrx7XWI7XWI7O1o3+uuDMhH7N4nYUoEI3S6POZXcZO/m3baMyMXxUMreGZZ9BjxsAPf9j6dbZKwYABcP756IcfRk+bhvHYY/Dhh6gjj2waay0w8b59CTQ2YrPAjbUxczqKvxBb9gUgkvndZ5FGWVtCdD2wXms9PfP3l2kK1YK14+Ax62wmVjwC0ahllrWgNf6tWwl37Gh2JS0zezZqwYKmmbjZdsUV6DffhFWrUGPHwty52b9GDqWqq7FpTcACLelwprtRQjQ3tFKEAW+hh6jWejOwTim1Y9X8sYA1+lNaaUdLNC4t0azzx2KE83Q+6v64GxtxJBKFF6JPP412u5tm3ObCCSegJ08Gm62pRfrOO7m5Tg4kM70KZRboQt0RogEJ0ZyJKFUULVGAHwPPK6XmAcOAu9tckYkkRHPDZhj443HLtEQDW7cCFFaIJhLwwgtw+umQy3Hlgw9GT5sG/fujzjgDHnssd9fKoh0hWlpfb24hQNJuJ26zSUs0h6wUom2alqi1nguMzE4p5tuxH2NCQjSryjKz6EIWaYn6MyEaKqQQfftt1LZt6Fx05e6ua1f0J5+gzjsP27XXoletQt99t6WPhktmTlEptUBLFJpao36LzB4tRlELhah1XxUm2DmxyOQ6ik1Z5h15WFqirffMM+iqqqZdifKhpAT96qvoH/4Q9Yc/oM47DyywDnNvtM9HxOejzAItUciEqLREcyaiFNa4m0iIfsPOiUXSEs2q0kQCsFZLNO7zkbTQbOF92roV3noLfvADyOeaVocD/eijGPfei3r5ZdQJJzTVYlGNZWWW6M6FphANZH7uRfZZqTtXQnQXMiaaG1ZriRbczNwXXkAlk3Dxxfm/tlJw880Y//pX0+zga6/Nfw3N1FBebpnu3JB05+aUdOdalIRobuwI0aCFWqIFFaLPPIMeNgyGDjWvhu9+t6kl/NFHTdsOWlBjebmlWqLSnZs70hK1KJlYlBvlmZtJxAot0UJbI7pgAWrWrNysDW0hfcQRqLo6WLDA7FL2qLGsDE88jtsC2+2FnU5Z4pJDEYpgnWgxcmd+N/8lWFzKkkmiTicpC2yn6AqHccVihTMz9+mnm/b2/cEPzK4Exo9v+n3KFHPr2IvG8nLAGstcdrZELXKjLzbSErUoj3Tn5kRpMmmp8VAokJm5qRQ8/zycfHLT/rdm69MH3bUravJksyvZo4ayMsA6IWrXGo8FtiEsRlYaE8378RW53oQ+3YYfWmfm/0YMg/19lbZcp7mMPI092XK8/q88mSTq91NSUpLT6wQCgf1+TsdQCACjZ89mff6euDJ7o+aSUgo+/BA2bWqaUJSjN3Yt3s96/HiYMqXp/zXz/3ryNBae6toVgE7RKJv93zoLIyvKMkG9P0ZpKQBdPB7qWljLVgvPgLaKHUtcbFpjmNzokZboLnZ058qYaHaVJZOELbKcxLdlCwCRTp1MrqQZnn66aXciK513On48bNgAq1ebXcm3hEtKSNvtlNTVmV0K4R2b0Msyl5yIZO7RVujfkhDdxY7ZufJjn11lyaQ1JhUBvtpaUh4PyRy3itusoQFefRXOOw/c7v1+et7sGBe1YpeuzUaovJwSC3TnRjIh6pMQzYkdIWqFLl0J0V24tSYKOes6a69KEwnLtES9W7Y0tUKt/hy/9BLEYuasDd2XIUOgvNyaIQoEy8st0RKVEM2tqISoNbm1lklFWeZOp/EahmVC1FdbS8QKk3T25+mnYdAgOOwwsyv5JpsNDj/cuiFaUWGJEN15HJqEaE6EJUStyY3MzM22UiutEaVpTNTy46ErVjQtI8nhhKI2GT8eliyB2lqzK/mWYEUFgYYGlMmzYiOZLnhpiebGjoO5rbBWVEJ0Fx6tZTw0y8oyNxErtEQdkQiuUMjyLVHbc881hecFF5hdyp5ZeL1osKKi6eg9kw/njmRaoj7ZcCEnZEzUolxaE7PiO/8CVmahlujOmblWDlHDQD33HBx7LHTvbnY1ezZyJHg8luzSDWbOWjW7S9ew2Yg6HPjjcVPrKFYyJmpR0p2bfTtD1AItUV+m+zFq5e7cKVNQq1dbb0LRrlwuGD1aQnQ/Ii6XtERzRFqiFiUTi7Jvx5hoyAItUW8BrBG1PfMMOhCAM880u5R9Gz8e5syBYNDsSr4hmNn6zwohGna5ZEw0RyRELcqjNdL5kl3liQRpIGaBE1x8tbWkXS7imRut5YTDqP/8B3322ZCjHXeyZvz4ptNcpk0zu5JvSHo8xHw+y6wVlRDNDdlswaKkOzf7ypJJgk4nOsdbCzaHr7aWSMeO1pzxCqhXX0WFQhgWOLFlv8aObVruYsUuXYusFQ27XARkTDQnZEzUohxaI8foZpcvlSJmgdNbANwNDSRbuV9uPqhp05rebPTsaXYp++f1QseOsHCh2ZV8S9zrxZvZI9nUOhwOGRPNkR3te7eEqLWElCJggSelmGzw+egUi+GwwM2kvn9/ylauxG6B8yb3xLj2WigpwX766WCBltQ+/e1vTetEL7zQ7Eq+wRGP02XNGjb36mV2KVQFg9RYfXvJAtU5czjHFgv0cJlfgYXU22yUS4hm1cpAADtQlZnUY6aa4cOxp1J0tOih0gwejPGf/8Dy5XDWWWDVrsDGRvjlL2HCBDjjDLOr+YYey5bhSKVYNWSIuYVoTbeGBjY089QX0TLdMiG6XkLUWuqVoixPx4+1Fysy78SrLbC7zbbBg0m5XHSeM8fsUvZKH3kkxhNPwCefwGWXWfNQ59/9DrZsgfvvt9z4cp8FC4h7PGzo29fUOjqEw3hSKTZYdRJbgeuW2ZFqowWGivJ+nqiVNdhslEuIZtVmj4ew3U51TY3ZpWC4XGw76CA6z51rdin7pM87D9avh9tvh9694be/Nbuk/1mzBh58sGk3pZEjza7mmwyDPgsWsGbQIAyHube2bg0NANISzRFpiVpUvc2Gj6adi0R2aKVYFQhYoiUKTV26JRs27Nx4wbJuvRWuugruvhsef9zsav7n9tubWp933212Jd/SecMGAo2NrBo82OxS6JZZYiMt0dzoZhgElSIoIWotDZmuKenSza7lJSV0qa1FWeDNSe3w4QCW7tIFmoLq0Udh4kS45hp4+22zK4Ivv4R//hN+8hPo0cPsar6lz9dfo5VitRVCtKGBeq+XsJXOgi0i3dNpS7RCQUL0G+ozT0qFBW72xWRlIIAnkaDcAgvgQ926EenUyfohCuBwwL/+BcOGwfe+B7NmmVPHqlVw111w9tnQuXNTK9mC+ixcyKbevYlZYBlTt/p66crNoa6GwUYJUeupl5ZoTqzI3NQs0aWrFDXDh9Np3jxUqgBWBQcC8NZbTWsyTz0VVq/Oz3UbGuCJJ+DII6FvX/jFL2DAAHj5ZbDgsg17TQ1V69ax6qCDzC4FtKarzMzNqW7pNBssMKkIJES/oSHzzkaWuWTX6kAAQylLTC4CqB02DGc0SuXSpWaX0jxdusA770As1tS9m6s1pKkUvPsu/OAHTde84grYvBl+85um8P7oo/8dg2Yxvo8/BrBEiHaIRPDKzNyc8WhNJ63ZYJGWqMzO3UVdpiUqM3SzK263s7Wy0hotUWDL0KEYNhudZ89mmwXGz5rlwAPhtdfg+OObNqd/7z3I1njb/Pnw9NPw/PNNoVlR0bS85qKLYNQoyy1j2RPvhx/SUFnJti5dzC7lf5OKpCWaE9WZ5S3SErWgHS3RMmmJZt3mzp3pYpEQTfn9bD/gAMsvdfmWCRPgqafg00/h0kubNoBvrZqapqUqw4fD0KHw8MNNx5v95z+waVPTpKbRowsiQFUshnfq1KZWqAXq7ZpZ3rJRWqI5sWN5i1VaotaowiIapSWaM5s6d6ayoQGPRbbcqx0+nIoVK3BZYLJTi5x3HtxzD7zwAtxxR8v+bywG//5309hqt25Ns2wdDvjTn2DjRnj11aadkgpsRqnn88+xxWKW6MoF6F5fT73HQ6jAvo+FYmeIWqQlmtfu3HQ6TWNjY06v4Wvj4c/1QCCZJBqN7vPzvHk4HzOVp4kv4XA459dY360bAJ02bWJVjpZH1LcgEFf0789gIDBtGivHjm3RdTZv3tyywlqhqqpq7/94003YVq7Efs89pLt3x7jqqr1/rtaoadOwPfss6uWXUQ0N6G7dMH7yE4zzzyd9wAH/+9wcvcHZkuMtH3u/9RZpn4/FVVWkc3y+qaMZmzh0a2xkU3l5sz53TxJ5Oj4tH9dJZ7pes6k6c19cp/XOr69N7D2UMdHd1CslE4tyYFPnzgBUb9mSsxBtiW29ehEtKaH7V1+1OERNpxTGQw+h1q/Hdv316G7d0Kec8s3PWbkS2/PPY/vnP1ErVqB9PvSZZ5K+4AL0UUfBjnfxObjJ5ZXWlE+ZQsOoUaRN3qVoRz1d6+uZ2r+/2ZUUre6GQY1SJCzQdQ8Sot8iIZobjX4/Ia+XrhYZF8VmY+2hh9L3iy+wx+OkC63rzeEg/fzz2I89Fvv555P+8EN0//6o//wH23PPYZsyBa0U+qijSN9+O/rMM5uWyxQZ39KluLZsod4is4YrwmG8yaSMh+ZQNwutEQUZE/2WeqVks4VcUIqNnTtbJ0SBVaNG4YzH6T5vntmltI7fT/rVV6FzZ+wnnYSjRw8cV1+Nqq0lfdddpJYtI/3ee+gLLyzKAAUoz7xZqB83zuxSgP/NzJUQzR0r7VYEEqLfUict0ZzZ1KkTVVu3YrPIxK2aQYOIlpbS58svzS6l9bp0IfX66+gBAzAuvZTU1Kmk5s/H+PnPC+Nw7zYqnzKF8EEHkaqsNLsUALpKiOaW1nQzDEuFqHTn7ka6c3NnU+fOONNpOm3fTk3HjmaXg7bZWD1yJAOmTMERi5HyeMwuqXUGDSL9+edmV5F3zm3bCCxcyLqrrza7lJ261dfT4PEQKtSfJYsr05oA1lneAtIS/Zad3bkSpFm3ccfkIgt16a4eNQpHIkGPQlszKiibOhWA+iOOMLmS/6mur5dWaA7tPALNIstbQEL0W+qUwgW0baGM2JPaykpSdjvVOV7y0BI1AwYQLi8v7C7ddqp8yhTiVVVErTITNjMzV0I0d7pnQlQmFlnYjk3opUs3+wy7nZoOHSw1uQibjTWHHUa3+fNxRiJmVyOaScXjlE2f3tQKtchSh4pIBF8yyYaKCrNLKVpWOox7B+tUYhE7QlRm6OaG1WboQtMsXXsqRc9COB5NAFA6ezb2WMxSXbkyqSj3uhsGCaDWIm+coI0hqpS6SSm1QCn1tVLqBaVUwY+m10lLNKc2depESSRCIBQyu5SdtvTrR6hDB3pLl27BKJ88mbTHQ+OIEWaXspOEaO7tWCOqiyFElVLdgOuBkVrrIYAdODdbhZlFunNza8fORV0tNC6KUqw+7DC6LViAy0LhLvZCa8qnTqVx1Ci0hTbJ6FZXR6PMzM2pboZhqZm50PbuXAfgVUo5aJqLs7HtJZlLunNza2OnTgB0z8P+sy2xatQobOk0AyZPNrsUsR+Br7/GvXkzdRbZpWiH7nV1coZojvWw2G5F0IYQ1VpvAO4D1gKbgAat9fu7f55S6iql1Eyl1MzWl5k/m5QiDgy0yIYAxSbq9bK6a1dGf/UV9jxtsN8c23r3Zv3BBzPipZfoMXu22eWIvbCFw/T91a9IdOxI3VFHmV3OTr22bqXv1q18nTloQWRf/3SaHobBbCvskbyLtnTnVgBnAH2AroBfKXXB7p+ntX5caz1Saz2y9WXmT1IpFthsDCv0jbktbNK4cVQEg4z8+muzS/kfpfjk2mvZ1qcPR/3lL1QtXmx2RWJ3WtPnnntwb9jAirvuIl1aanZFO50ybx4Rl4uPBw0yu5SidXrm1Jk3XS6TK/mmtrSLjwNWaa23aK2TwCuANTawbKO5djuHpNOy4UKOLO3dmzXV1RwzfTp2C71ZSXk8TLrpJoKdO3Psww9TuWaN2SWJXXR69VU6vP8+66+6iuChh5pdzk7V9fUcumYNHx54IDGL3eCLyemJBNMdjuLpzqWpG3eMUsqnlFLAscCi7JRlrjl2O+VAXwnR3FCKDw4/nIrGRmu1RoF4IMD7N99Mwu/n+AceoMRiY7ftlXfpUno98AANo0ax6eKLzS7nGybOm0fS4eCDwYPNLqVo9U2nOTid5nULvklpy5jodOBlYDYwP/O1Hs9SXaaam9lSSrp0c2dp796sra7m6C++sFRrFCBSWcn7N9+MMgxOuP9+vHV1ZpfUrtnCYQbcfjup0lJW/OpXYKGWSIdgkDErV/LpwIEyKzeHdnTlvu50mlzJt7Xpp1Fr/Uut9SCt9RCt9YVa63i2CjPTIpuNOBKiOaUUH4wbR2VjIyMWLDC7mm9prK7mg5/8BE8oxAn3348rHDa7pPZpt3FQq5zWssPJX3+NVop3hwwxu5SidnoiwQy7nY0W2jN3B+u8pbMQmVyUH0v69GFtly4c88UX2Cz4vd7Wpw8f/fjHlNbUcOzDD2OPF8V7xILS6bXXLDkOClAWiTB+2TKm9u9Pvd9vdjlFq3c6zSEW7coFCdG9kslFeaAUk8aNo7KhwZKtUYBNgwfz2VVX0Xn5co76859RFlqWU+y8S5fS6/77LTkOCnDCggXYDYN3Dj7Y7FKK2s6uXAnRwiKTi/Jjcd++rLNwaxRgzWGHMe2ii+gxbx5HPPkkyBrinLOFw/S/4w5LjoMC+ONxjl68mOl9+lBroaU2xeiMRIJZdruljj/blbV+Mi1EJhflSaY12qGhgUMXLjS7mr1aetRRzD7rLPpNm0bZr38tPRS5lBkH9axfb8lxUIBjFy7Ek0rxtrRCc6pXOs0wC3flgoToXsnkovxZ1Lcv66uqOHbaNMu2RgHmnXoqC48/npInnqDkkUfMLqdoWXkcFMCTTHLcwoXM6dGDDRYM+GJi9a5ckBDdK5lclEeZmbodGhoYvsjCS42V4stzzyV81lmU3Xsv/uefN7uiohOYN8/S46AARy5ZQiCR4K1DDjG7lKJ3eiLBHLudtRbtygUJ0X2SyUX5s6hfv/+1Rq085mizUXfffUSPOYby227D+9ZbZldUHLSm6sUXGXTNNSQ6drTkOCiAI5XixK+/ZmF1NSszhymI3OiRTnOoxbtyoekUlqKSyuLsyZlKcRnQM5lk5W4v6ESmmyGXYrFYzq+RL6tWrdrv5zzfrx8///xzun/6KZ/27t3iazjytDG13+/HfumlTNiwgYrrruPrDRuozfLYWJ8+fbL69fYmGo3m/BoL9jPz2hWNctQzz9Br7lxWDR3KxxddRGL1ali9ukXXWd3Cz2+N4XPmUB6Ncu/QodTm6HD5fL3uk8lkzq+RbkNP3qmZJWWvOBxt+jq5Zr23ehYyNxOcw63cMioiM6urWVVeztmLF1u7NQqk3W6m/PznhKqrGfeHP1CxYoXZJRWkjmvXcvbdd9N73jw+P/ts3rv6ahIWXXNpMwzOXrGCxeXlzOvQwexyit4ZySRzbTbWWLBHYlfWrs5kCzPHokmI5olSvHTggVSHQhyxbp3Z1exXMhDgszvuIFFSwvi776ZkwwazSyocWjP400858w9/wJ5O89pPfsK8446DzHm+VjRqxQq6RKP8u39/S9dZDLobBoel07xmwW3+dichug9JpfjaZpMQzaMZXbuyuqyMsxctsnxrFCBWWcmnd96JttmY8Jvf4N22zeySLM8Zi3Hsk08y4cUX2XDAAbx8++3U9Otndln7pLRm4rx5rCopYUbnzmaXU/TOyHQ1vyohWvjm2GwMMwyZXJQvSvHS4MF0DYUYv3at2dU0S7hLFybffjvOSIQJv/kNrmDQ7JIsq3L9es7+3e/oN2sW0884g7evvZZYIGB2Wfs1bM0autbX81K/fmhphebc6ckk82w2Vll4Vu4OEqL7Mdtmk52L8uzLrl1ZUVHB9xYuxFEArVGA+j59mPLzn+OvreWIe+7BXkSTwrJCawZNncpZ996LMx7njRtvZM5JJ1lyBu63aM3Er76itqSEKdXVZldT9LoZBqMLpCsXJET3SyYXmUApXjjoIDpHIhzTjFm9VrF18GC+uOEGKpcvZ9z998s+uxmOeJyjn36ao557js39+vHy7bezaeBAs8tqtsEbNtBn61beOeQQjEII/QJ3egF15YKE6H7J5CJzfFVVxcKOHTl70SJcBRRGG0eNYuYPf0iXr75i1COPtPt9dn2rV3PW73/PwC+/ZMYpp/DWj39MtMD2mj3lq6/Y7vMxrX9/s0tpF05PJvnaZmNFAXTlgoTofsnkIpNkWqOVsRgnFdjykdXHHMO888+n5+efM/wf/2i34+md33uPYVddhScU4s0f/5hZp56KLrCWXP+aGg7YvJn3Dz6YVIHc1AtZtWEwtoC6cqEIN1vIhTk2G99NpZpuhjKpIG8Wd+rEnKoqvrNkCR/07Uu0gF5YS844A3djIwe88QYpt5uF55xD2u02u6y8sMXj9HvoIbq89Rb1w4bx+ve/T6S83OyyWmXi3LkEPR4+O+AAs0tpFwqtKxekJdosMrnIPC8OGUJJIsGpS5eaXUqLzbvgAlYecwyDXn+dU669liEvvIBn+3azy8op77p1HHL11XR56y3WXngh8x94oGADtMe2bQxdv55JBx1EooBu6oXsjGSSBTYbywqo1S8t0WbYdXLR7tv/idxaWVHBtG7dOHXZMt7r35/GQmrNKcWsH/6QNRMmMPCttxj06qsc8PrrrBs3jpXHHsvWQYMKY3ZqcxgGnd9/n34PPoh2ufj63nupGzPG7KraZOJXXxF1OvnowAPNLqVdqDIMxqTT/L6QXuNIiDbLQqVoAE5Lp/lPnvZnFf/zr4MOYuSmTdwydSp3TZhAvJCeA6XYOngwWwcPxr95MwPeeYfeH39Mr8mTiVZUsH7MGNYefjjbBwwo2KGCslmz6PPXv1KyZAkNQ4aw+Je/JFFVZXZZbTJm2TIOW7WKN4YNI1pgN/VCdWEigQ14pcBa/QV0NzJPUimecjj4USrF/xkG64ul9VAgNpSW8tDo0dw8bRo/+/xz7jn88IKc5BHu0oW5l17K/PPOo3r2bHpOnUrfSZMY8M47hDt2ZN24cawbN476PG0+31a+FSvo89e/Ujl9OrGqKpbccQe1xx9f8K3rPrW1XDx1Kourq3lz+HCzy2k3zkgm+dxuL6iuXJAQbbY/Z0L0mlSKOyx+NE8x+rJbN/4yciQ/mjmTG778kgdHjy7YNXtpj4f148axftw4HJEIXWfOpOfUqU1dvq+/TrBLF4ITJ7L9+OOJWXBZhbumhl5//zud33+fVCDAymuvZeOZZ6KLoMVWEQ7zo0mTqPP5+Msxx5Au0J+xQtPVMDjYMPiFx2N2KS0mIdpM6202/mu3c2kqxe8KrLuhWHzSuze+ZJJLv/qKH86ezV9GjCjYLtAdUj4faydMYO2ECThDIbpPn06Pzz+n+qmn6Prkk0T79GH78cez/fjjibfieLisMQxcW7fS7eWX6frKKwCsP/dc1l9wAamSEvPqyiJXKsWPJk3CnUrxwMknEy7AG3qhOj6zFvz9QhqqySi8ik30J4eDc9JpLkql+KfZxbRTbw8YQCCR4JxFiwg7nTwzdGjBB+kOyUCAVccey6pjj2VAaSkVH31E5Qcf0PVvf6Pb448TGTiQ7SecwPbjjiPRrVv2LpxO46qrw1Vbi3vLFtyZ311btuz8u2vrVmypFFopak46ibWXXUa8wMc9v0FrLp48mZ5bt/LI8cezsaLC7IralROTSdYqxeICbPlLiLbALLudqTYbP0qleFFrjCK5eReafw8ejD+Z5LRlywi5XLxShLMnUx06sOWcc9hyzjk4a2upmDSJykmT6P7II3R/5BFCQ4ZQd/zxbD/2WJL7CrNUCufWrbhqa3f+ctbUNP25pgZHTQ3ubdtQux16nHa5SHTqRLxzZxqGDv3fn4cNI1IgY7YtccpXXzF65UpeHjmSeT17ml1Ou+LSmiNTKV5wuQryDbGEaAv9yeHgxUSCk2Ix3vZ6zS6nfVKKpw45BH8iwXkLFhB2OnnPgmOH2ZLs3JnaH/yA2h/8ANfGjVROmkTF++/T48EH6fHggwSHD6f+qKOaWpS1tTgzAemqrcW5bRtqt9220h4Piaoqkp0703DoocQzAbkjKOOdOpEqLS3IG1prDFu9mjNnzWJav368O3So2eW0O4enUvgpzK5ckBBtsbfsdlYqxQ9DIQlRE2ml+MvIkfiSSa6YO5ewy0XNgAFml5Vzia5d2XzRRWy+6CLca9ZQOWkSlZlABUj7fCSqqkhUVdHQrx/Jzp1JZH4lq6pIdO5MuqRkZ0BGo1EzH47pum/fzhWffsrKTp14+ogj2s0bBys5MZUiCkyWEG0fDKV41OHg/mSSEYkEs2SmrmnSNhsPjhnD7VOmcN2MGTzfsyeL20GQ7hDv1YtNl1/Opssvx1lbS9rnwyiAszmtoiQa5boPPiDicvHocceRKtCbeEHTmhNSKT5zOIgW6BuYwhvFtYBnHQ7qleLKUMjsUtq9pN3O78eNY1V5Oef997/0WbPG7JJMkezcWQK0BezpNNd8+CGl0SiPHnccDT6f2SW1S/0Mg76GwQcF/AZGQrQVwkrxnN/PxFiM7gV0TFexijmd/PaII9heUcFFL79Mt02bzC5JWJnWXPD55wysqeEfEyawplMnsytqt07csbSlgJcNSoi20lN+PwZweThsdikCCLnd/OPccwl7vVzyr3/ReetWs0sSFuRIp7n8008Zv3Qpbwwbxoy+fc0uqV07IZlkkc3G2gJc2rJD4VZusk12O697vZwXiVAiZ41aQmNJCU+edx5pm41LX3yR8vp6s0sSFuKPx7np3XcZu2IF/x0xgtcOPdTsktq1gNaMS6cLdlbuDkrn8Xgvh8Ohy8rKcnqNVJ66V91uN0OTSSbV1/NLv5+/5GBMJdffq3xex5GHF0rfTKuiR309d374ISGXi18ddxwNWZ5F3aVLl6x+vT3plKcuxmAwmPNr1NbW5vwaAOvWrdvrv1VHItw1ezZV0Sj3DxnCJ9XVrbpGY2Nja8trtrq6upxfA/Lz3O/rGqclkzwfizHR62VKG+8PiUSiTf+/OV/fMIw9znySlmgbzHM6mep0cmU0il3OGrWMdeXl3HvkkZTHYtz28cf4c/wCE9Z2YH09D02fTlkyyW0jR7Y6QEV2nZBOUw98UWAbzu9OQrSN/uL10t0wODUeN7sUsYvlHTvywPjxVAeD/OzTT3HLBLB26YjNm/n9zJlEHA5uHDWKr2U7P2vILG35yOEgVaBLW3aQEG2jD1wuVtjtXBONgrRGLeXrLl14ZNw4+m/bxk2TJ+PYbWs7UcS05rurVnHnvHksLy3lhtGj2eD3m12VyDjEMKjWuuDHQ0FCtM20Ujzm9XJoKsVoae1YzowePXh81CiGbt7Mj6ZNwyaTwIqezTC4ftEirly2jE+6dOHnI0bQKJuiWMrOpS0F3pULEqJZ8W+Ph+1KcXUkYnYpYg8+69uXZ4YPZ/S6dVw+Y4b0GBQxXyrFr+fM4ZT163mxTx/uOfhgkkVwoy42J6RSzLLZ2FrAS1t2KPy2tAVElOJpr5cbIhF6p9Oslhet5bw7aBCBRIKzFiwg4nTy/PDhsk9qkekYi3HX7Nn0Cod5cPBg3u3e3eySxB50MAxGGgb3FEnvQOG/DbCIJz0eUsCV7XxDbyt7+eCDeXfgQE5ZsoTvLFhgdjkii3ps3crD06dTFYvxf4ceKgFqYcen09iA94pgPBQkRLOmxm7nv243P4hGKZNxN2tSimcPPZTJvXvzvfnzOWHpUrMrEllw8Lp1/PyttzCU4ieHHcbsDh3MLknsw4mpFDVKMbcIunJBQjSr/urz4QcuisXMLkXshVaKx0ePZma3blwyaxYnLV6MkjHSgnXUwoX8+IMPqCkr44ZRo1hdUmJ2SWIf7FpzTCrFB3Y7ukiGU/YbokqpJ5VStUqpr3f5WKVS6gOl1LLM77L4CljgcPCZ08kV0ShOuTFbVtpm40+HH87srl25aM4c/u/DD6nOw040InuU1pwzfToXTJvGvB49uPeUU9ju8ZhdltiPUek0FRRPVy40ryX6FHDSbh+7FfhQaz0A+DDzd0HT5gvVhsHpsvmCpSXtdu6bMIG/jh5Nz/p6fvfOO5y2cCF26Yq3PFcqxdUffcSJX3/Nh4MH8+ixxxIv4FNA2pMT02mSwMftKUS11p8B23f78BnA05k/Pw18J7tlFa6PXC6W2u3cEIlIa9TqlOKzvn356SmnMLdrV8776ivufvddhmzebHZlYi+61tVx2xtvMHz1al4YPZoXxo5FF8nYWrHzaM1ZySSf2+00FklXLrR+TLRKa73j0MbNQNXePlEpdZVSaqZSamY+N7s3i1aKX/v9DEqn+bGsGy0IDV4vD40fzwPjx+NOpbj944/5yWefUZWHDbpFM2nNMQsWcOdrr1EWifDHE07gwyFDzK5KtMCtiQS9tea+IlnaskOb29Raa62U2ms6aq0fBx6HplNc2nq9QvC+281/3W5uikR4w+1mWRF1XRSzmd2781V1NSdllsD84e23eXfgQP570EFEi+yFX0hKIxEunTyZg9ev56sePXhq/HiCWT6ZR+TWsHSa6xMJnnI6+bTI7oetfTQ1SqlqrfUmpVQ1kJ+zjgrIHYEARyYSPBgMclp5edHMRCt2SbudNwYPZnKfPnzvq6+YuHgx41et4l+HHMKnffpI12GeDV27lksmT8aTTPLc2LF8cuCBsklGgXFozaOxGLVKcafbbXY5WdfaO8LrwMWZP18MvJadcorHVpuNXwQCjEqluFSWvBSceq+Xx8eM4c4TTmBzSQlXffklv33vPQbl6WzM9s6VSnH+1Klc/8EH1Pt83HXGGXwyeLAEaAG6MZHgYMPgJo+HhiJ8/vZ7KLdS6gXgKKAjUAP8EngV+DfQE1gDfE9rvfvko28ptkO590tr/tXQwGGpFOMrKtjQwu0A5VDultlxKHfWac3YtWs5b+5cOkYizB0wgDfGj6cuh9+39nwod4+tW7nqk0+obmjg3YMP5tURI0g147Wzr0O5s0UO5W6ZrvX1TIlEeNPh4NIcdsGbeSj3fu9sWuvz9vJPx7apqvZAKX5aUsJn27dzbyjE+aWl8k66ECnFtF69mNWtG6csXswZixZx0MqVfDJiBB8edhgJGS9tO63pV1vL4UuXMm75coIeD/efdBKLunUzuzLRSjateSQWIwz8rAi7cXcorhFeC1pnt3OP389d4TBHJZN8IjfcgpVwOPjvkCEsHD2aU6dM4fgvv2TUggW8dcQRzDrwQBn3boWySISxy5Zx+LJlVDc0EHM4mDpgAK+MHElYNk8oaJeEw4w2DK70eIritJa92W93bja1u+7cDJfWTN++nbV2O2eUlzf7/0l3bsvkrDt3N126dAGg18aNnPnJJ/SsqWFNly68euSRrOnaNSvXKObuXHs6zSHr1nH40qUMWb8eu9Ysrapi6sCBzOzdm3gr32hKd27L5PK5755K8fGWLUy22TjH6815D5ylu3NF2yWU4hGfj9+FQoxNJJgmrdGisKZrVx4+7zxGLFrEKVOmcMO//sWsQYN484gjaJA9XL+l2/btHLF0KWNWrKAkFqPO5+PdoUP5fMAAavL0hlHkgdb8ob4eA7jR4yn6ISwJ0Tx53uPhpnCYn0QinCMhWjS0UswcPJh5/ftz7IwZHDVrFgcvX85Hhx3GxyNGkGzn29F5olGOWriQI5Yto/fWraRsNub27MnUgQNZ0K0bRhF387VX34tGmZBIcFtZGRvawTaaEqJ5ElOKP/t8/L9wmBHJJLPa+c212CRcLt45/HCmDxnCqZMnc9K0aYz++mveGD+euQMHFv278V0pw6DfmjWM+OorBi9dijOdZm1lJS+MGcP0fv0IyVhn0eqcTvPLhga+cLl41ueDUMjsknJOQjSPnvZ6+XEkwk8iEc6X7quitL2sjGdOPZUp69fznU8+4aK33+bYGTNY0b07a6uqWNulC1vLy4syVCvq6hgxfz6Hzp9PeWMjEY+HmcOG8X737qzr2NHs8kQe/KahAbfW/KwdbTCT94lF5S2YWNMaLZnw0xb2Fq753OFHjY38vKGBU6qqmL+fbl1VRD+EgUAg59coLS3N+TUA/H5/sz7PpjUnbNrECZs2MaCxEW+ma6vR4WBpaSmLd/lVv9vPrS1P3ZxtnYjnTqeZsGULJ23axPDMONjMykreqa7m8w4dSNrtRKPR7BS7H5E87FWdj4lFDQ0NOb8GQDqdzurXOyOZ5JlolF+43Tyc+XlOJpNZvcbe5Po6qVQKrfUeb8gSoq3U2hAtMQw+37iRzz0efrifd+cSoi1jtRDdlc0w6BWJcEBjI4MaGhjU2EifcBh75vVX4/GwuLSUJZlQXVFWRjQPM5pbFaJaM7ixkZM2beLo2lr86TQbvF7e7dKF97t0Yctu3bUSoi1TiCFaoTVfhkJsVIpj/H7SmXtXewhR6c7Ns6DNxj9KSrixsZEDEgmWyCSjdsGw2VgVCLAqEODdzDIYdzpN/2CQQY2NTeHa2MiRmeUgBrDW72dxWRlLSktZUlbGqkCAtAkTcZzpNKWpFKXJJKO2b+ekTZvoFYkQtdn4tHNn3q2uZl5ZWVF2UYvm+W0sRoXWnOnz7QzQ9kJaoq3U2pYoQFk6zbRNm/jI4+G6fbRGpSXaMlZuiTZXaSLBAY2NHBgMckBjIwc0NFCeeZcdt9lYXlLCkl2CdWMz1+DZDYOSVIpAMkkgmaQkmaQklcIXj+/8cyATlIFUipJUaufH3bvNsJxfVsY71dV82qlTs1rL0hJtmUJriR6bSvFKJMIfXC5+s1svRHtoiUqItlJbQhTg5/X1XBMMckyXLqzcy0xdCdGWKYYQ3WHnmKjWVMViHNDQsLMreEBjI55dx1fLylheUoJd66aAzIRlyS5/9u3nhhm22wk5HASdToK7/p75cyjz5+UlJaz3+Vr0WCREW6aQQjSgNdNCIaJKMd7vJ77bPas9hKh055rk7yUlXBYKcV1jIz/p0MHscoRVKUWN10uN18tnmZ2SbIZBr3CYAzJjqwc0NHDO9u2klPpf4Dmd1Hi9rHA4CDmdO0Nx9z/XKUXI4TClm1gUvl/EYnTXmhO93m8FaHshIWqSbXY7z/n9XBoK8VBZGWuL7KBakTuGzcaqkhJWlZTwbuZjSutWLSnI1zaZoviMSaW4MpnkMZeLL9vx/UvefprosdJSUjQtexGiLdrLmjxhDW6t+VMsxjqluKuIT2hpDglRE9Xa7bwYCHB2OExXaREIIQrEz+NxBhoGN3q9hNv5GzgJUZP9NbNR+dV5OE1DCCHaamg6zQ2JBM86nXzUjrtxd5AQNdlGh4P/+P2cGwrROcs7iAghRDY5tObRaJStSvF/sgcyICFqCY+WluIArpKxUSGEhV2fSDDUMPipx0N9O+/G3UFC1ALWOhy85vNxQThMtYyNCiEsaFA6zc/jcV5zOHhDTqHaSULUIh4qLSUN/H3r1p0blQshhBWUac3z0SiNSvFT6cb9BglRi1jjdHJdhw4MTiZ5cPt2VB53khJCiL1RWvO3aJRehsGFXi+1sjHHN8h3w0I+9nr5TXk5E6NRfpanrb+EEGJfbkkkODGV4laPhy9kNu63yHfEYp4IBOifTHJdMMgKp5NX8rDnrBBC7MlxySS3xuP80+nk7zIOukfSErUapbizooKpbjf3bN/OyFjM7IqEEO1QL8Pg79EoX9ts/MTjkaPu9kJC1IJSSnF1hw5scDh4fOtWesiMXSFEHnm05plIBAVc5PMRlQDdKwlRi2qw27msUyfswJNbtlAiM3aFEHlyXyzGMMPgKq+XVTKRaJ/ku2Nhq5xOrunYkT7JJI9s3YpdZuwKIXLsokSCC5NJ7nW5eE/GQfdLQtTiPvd4uLOykqNiMf6vrs7scoQQRezQdJr7YjE+tNv5XTs/naW5ZHZuAXghM2P3imCQ5U4nz2c2rRdCiGypNAyejkTYrBSXe70YMg7aLBKiBeK35eX0TSb5dV0dq51OpsquIUKILLFpzd+jUaq05kS/nzoZB202+U4VCEMpftyxI8udTv6yZQt9k0mzSxJCFInb4nGOTaf5qcfDHLvd7HIKioRoAQnZbFzeqRNJpXhyyxbK5eg0IUQbnZhMckvmfNBnXC6zyyk4Sudxxqfdbtc+ny+n1zDytBTEmYdZa569dNmOTCT4T10dM51Ozq2oINnGsYu9XSebUnlY6xrI0+5Ofr8/59ew5ak7LZmHHo10nt7sxfKwMUkkEsn5NRKJRM6vAU3PS+90mo+DQVbZbEwsKSGW5XHQfPx85eM6iUQCwzD2+M2RlmgBmulycVNpKYcnk/wuGARZ+iKEaCGv1jwdDmMAl/j9WQ/Q9kImFhWoV7xeBqTT3BQOs8xu57E8tI6EEEVCa+6PRDgonebcQIC1Mg7aahKiBexev5/+qRS/DIVY6XDwgazrEkI0wyWxGOcmEtzj8TBJNlRoE+nOLWBaKa4vK2O+w8FfGho4UGbsCiH249Bkkt+Gw7zvcPAHWSrXZhKiBS6qFBeXlxNUimfr6+koM3aFEHvRwTB4Mhhko83G1X4/WsZB20xCtAhsttu5qLycSsPgufp6fLJZvRBiN3ateTwYpNIwuKy0lHrZUCEr5LtYJOY7nfywvJwhqRR/b2jAITN2hRC7uC0SYUIyyS2BAPMdMh0mWyREi8gHbje3lJRwTCLBA42NsvRFCAHAyfE4N0SjPO3x8KKMg2bVfkNUKfWkUqpWKfX1Lh/7g1JqsVJqnlLqv0qp8pxWKZrtnz4f9/r9fC8W47ZQyOxyhBAm65tO80goxGyHg9tlKVzWNacl+hRw0m4f+wAYorUeCiwFbstyXaINHvD7edrr5YZIhMvysMOKEMKafFrzj8ZGksBlJSUkZCJR1u03RLXWnwHbd/vY+1rrHfu4fQF0z0FtorWU4raSEt5xu/lNMMipedgOTQhhMVpzfyjEoHSaH5aUsEE2VMiJbIyJXga8s7d/VEpdpZSaqZSamc99ets7QymuKStjhtPJXxoa+E40anZJQoh80ZrfhsN8Nx7nHp+PT2Vj+ZxpU4gqpe4AUsDze/scrfXjWuuRWuuRSroS8iqmFOeXl/Ol08mfGxu5RLp2hSh+WnNPOMxVsRh/8Xh40Os1u6Ki1uoQVUpdApwKnK+liWlZIZuNH1RU8L7bzT3BIDeGQjJrV4gipbTm3nCYy2MxHvF6+YXfD9J4yalWhahS6iTgFuB0rbU0bywurhSXl5XxL4+HW8NhfhUKoSRIhSgqSmvuC4W4NBbjj14vv/L5JEDzYL8rbpVSLwBHAR2VUuuBX9I0G9cNfJDpov1Ca311DusUbZRWihszu5T8MBKh3DD4SWkpaXmRCVHwlNY8EApxQTzOg14vd0uA5s1+Q1Rrfd4ePvxEDmoROaaV4peBAHVKcWs4TKnWXF1WZnZZQog2sGnNQ6EQ58Xj3Of18nsJ0LySHYvaG6V4KBDg1pISTozH+WddHQHZa1eIgmTTmj9mAvT3Ph+/lzHQvJMQbaee8vm4trSUUckk/6ypoVJOfxGioHRLp3m1oYHvx+P8zufjPp/P7JLaJQnRduxVr5dLyssZmEzy0ubNVKdS+/9PQgjTnRaP80l9PQen01wbCPCABKhpJETbuQ/dbi7o3JlO6TQvb95MXznYWwjL8mnNg8EgTwaDrLDbObq8nJdkQ3lTSYgKZno8nNulCy6teWnzZg6Kx80uSQixm6GpFB/W1/ODzAzcU8vKWC1b+ZlOQlQAsNDl4pwuXYgqxYs1NYyW/XaFsASlNddEIrxTX49Pa84sLeVuv5+UTCCyBAlRsdNqp5Ozu3Rhk8PBMzU1HCfbBAphqirD4F+Njfw6EuF9l4ujysv5XPbBtRSVzx377Ha7DgQCOb1GLE8tKCMPy0I8eRrr8O62t2aFYfDPhgYOSaW4oaQkK2MuiUSizV9jf3Z/HLniysNNrJj2mc7XY0nmYTw/moeDHOyZLtrj43EeDgbxac2dgQDPejxZXb6SzsOM/FSeJivm+rmPxWIYhrHHb760RMW31NlsfLesjM+dTh4NBrlSWqRC5I1ba34bCvF8YyObbTaOr6jgWa9X1n9alISo2KOwzcYPysp40+Xit+Ewt4TDsnG9EDl2QCrFe3V1XBmN8levl5MrKljm2O/GcsJEEqJirxJKcWVpKc97PPw0EuFu2bheiNzQmstiMT5sbKSTYXBuaSm/CASIS+vT8uQtjtintFLcFAhQrxQ/ikYp15rrS0pkZqAQWVJpGPwxHObkZJJJTic3lJayxSbtm0IhISr2Tyl+5fez3WbjznCYzobBzSUlrJE1akK0yYRkkr+EQlRozW0+H39zu7FJgBYUebZE8yjFn3w+bggEODSV4rPt27kpHMYl3btCtJhTa34ZifCfYJAGpTi+tJTHPR609PAUHAlR0SIveL0cXlHB+243t0UifFpXx5F5WL4iRLHom07zbmMj18diPO12c2xZGQtk8lDBkhAVLbbJbufK0lK+V1aGAl5qaODxxka6yEkwQuyd1pwXj/NxQwM9DYOLAgF+6vcTldZnQZMQFa32icvFkRUV3OPzcWI8zud1dVwdieCQLl4hvqHUMPhbOMwj4TBzHA6OLCvjLdl5qChIiIo2iSvFA34/EyormeZ08utwmEl1dYyW02CEAGB0MslnjY2clkjwa6+Xs0pK2CiTh4qGPJMiK9bY7ZxfWsrFpaWUaM0b9fU83NhIxzxsjyiEFdm15pZIhDeCQZLAxNJSHvZ6MaT7tqhIiIrsUYp33G7GV1bysNfL2fE4U7dv51Q5Wk20M4NSKd5ubOTnsRgvuVwcXVbGbJk8VJQkREXWRZTit4EAR1dUsMpu58nGRv4YieCXsVJR5Fxac2skwieNjfQ2DK7w+/lRIEBIWp9FS0JU5Mwyh4NTy8t50OfjgmSST0MhhufpVAch8m1UMsmnDQ38LBbjvy4XY8vK+K/bbXZZIsckREVOpZTid34/p/n9uLXm/XCYm2IxbNIqFUWiRGvuDYd5JxjEC5wTCHBNIMB2mTzULsizLPJiqsPBESUlvOF08st4nNfDYbrJpCNR4E5IJJja0MCl8Th/dbs5vKyMj2TpSrsiISrypkEpLvN6ucbr5ZB0mqnBIN+R3Y5EAepoGDweCvFCKESDUpxUWsodfj9hGftsdyRERX4pxQsuF+MDAZbZ7TwVjfJoJEJAundFIdCac+NxpjU0cGoiwd1eL8eUljJLZt62WxKiwhSr7XZO9vu51+3m3GSSz0IhRsikI2FhPVIpXg4GeTQcZpndztFlZdzv9ZKU1me7JiEqTJNSirs9Hk71+3FqzXvhMDfLpCNhMTatuTIY5MPaWg5LpfiZz8cpJSUskaMABRKiwgKmZSYd/dfp5M54nDfDYXrIpCNhAQcmk7y+ZQu/bGzk88yylSflyDKxCwlRYQkNSnGl18tVXi9D0mmmBIP8Khqll4SpMIFba25paODt2lq6p9NcW1HBJR06sFFan2I3EqLCOpTi3y4X40tK+MTh4EeJBHOCQV4Mhzk2mURJN6/Ig9HxOO/X1nJ9KMR/fT6O6tyZ130+kNan2AOZUiYsZ43NxsV+P10Ng0sTCS5OJPhPJMIKm40nXC6ed7lokBuayLISw+C2xkYuCodZa7dzXocOTPZ4zC5LWJy0RIVlbbTZ+K3Hw5CSEq7wetmiFHfHYixqbOShSIQhcgi4yJITolE+rqnh/HCYxwIBju3cWQJUNIvSeewiczgcurS0NKfXSObpHMt8XCddRCFRUlKSla8zJJXiinic7yYS+IAv7Hb+7vHwhtOJdjqzco39UXloBefrubflYWs6Z56el9Z8zzql09wdDHJaPM5Ch4ObS0uZs496E3nYHMSep3FXIw/zDVJ5WraW6/txLBbDMIw9vvAlRC18HQnRvSszDM5PJLgsHqevYVCjFM95vTzt8bA5xzchCdGWsWSIas15sRi/DAbxaM0DgQB/9vlI7ee5lRBtGQnRLJMQbRkJ0f1TWnNsKsXl8TjHJ5MYwNsuF096vXzudOZkMoiEaMtYKUR7pNMcE49zZizGmGSSaU4nPy0tZUUzdxySEG2Z9hCiMrFIFDStFJOcTiY5nfRTikuiUX4Qi3F6IsEiu51/eL285PHInqbtlFtrxiYSHJ1IcEw8zoBM0K612bilpIRnvV5Z8ynaRFqiFr6OtERbxpFpTXi05jvxOJdHoxySShFUihc9Hv7h8bA8C3ucSku0ZfLdEu2TSnFMJjTHZsbOY8DnLhcfud187HKxwm5vVS+FtERbpj20RCVELXwdCdGWcewekFozIpXismiU0+Nx3MBnTidPeL2873KRbmUYSoi2TK5D1GsYHJ5IcGQ0ytGJBH0y37sVdjsfuVx87HYzzeUimoXnTUK0ZSREs0xCtGUkRFvmWyG6i46GwfnRKBfHYnQ3DNbbbDzt8fC2280Kux2jBTdYCdGWyXqIas2AVIqj43GOjsUYnUjgBiLAlExofuRysSYHJ6tIiLaMhGiWSYi2jIRoy+wrRHewa82JiQSXRaNMyDyHUWCRw8GCXX/Z7YT2EjASoi2TjRANGAaHx+McE49zVDxO98z3Z4nDwcduN594PEyz24nn+LmREG0ZCdEskxBtGQnRlmlOiO6qTyrFYakUQ1IpBqdSHJRK0WGX18Mam42vdwvXtTYbKg/B0+5DVGsOTKU4Ohbj6HicwxIJnEBQKSa73XzidvOx283GXZ7zfHzPJERbpj2E6H7vOkqpJ4FTgVqt9ZDd/u1m4D6gk9Z6azaKFSJfVjkcrHI4+PeOD2hNtWFwUCZQh6TTHJRKcXIisXNrrwalWOhwsNDh2BmwSxwOYjLDs9X8hkHPdJru6TQ9UykGJ5McGY9TnbnJL3A4eCwQ4GO3m1kul5zfKSylOW/dnwIeAZ7Z9YNKqR7ACcDa7JclhAmUYpPdzia7nUlu984P+7RmUKbFelAqxUHpNOfGYvgzrdY0sNxu/0aL9WuHgy1y4gfQtMykezpNj1TqG2HZI52mZzpN5W4tojqlmOJ285HHw6duNzXyfRQWtt8Q1Vp/ppTqvYd/ehC4BXgt20UJYSURpZjtdDI70y2plEJpTa9MS3VHuB6WTHJWPL7z/21RinlOJ+eXlbW7tYhnxmJcHo3SwzB2tih3iAMb7HbWOhzMdzpZa7ezzuFgnd3OWrud7TabnJgiCkarpq8ppc4ANmitv9rfJAul1FXAVZCf8Rch8kErxWqHg9UOB2/t8vFyw9g5vnpQKkWJ1u0uQKHpZIukUnzidLLe5doZkOscDmpstnb5PRHFqVkTizIt0Te11kOUUj7gY+AErXWDUmo1MLI5Y6IysahlZGJRy7R0YlFryezclrHStn9tJROLWqY9TCxqzSuoH9AH+CoToN2B2UqpLq0vUQghhCg8LX7rrrWeD3Te8feWtESFEEKIYrLflqhS6gVgGnCAUmq9Uury3JclhBBCWF9zZueet59/7521aoQQQogCItNlhRBCiFaSEBVCCCFaSUJUCCGEaCUJUSGEEKKVJESFEEKIVpIQFUIIIVpJQlQIIYRopbweyq2U2gKsaeF/6wgUw25IxfI4QB6LVRXLYymWxwHyWKyqpY+ll9a6057+Ia8h2hpKqZla65Fm19FWxfI4QB6LVRXLYymWxwHyWKwqm49FunOFEEKIVpIQFUIIIVqpEEL0cbMLyJJieRwgj8WqiuWxFMvjAHksVpW1x2L5MVEhhBDCqgqhJSqEEEJYkoSoEEII0UqWDVGl1ElKqSVKqeVKqVvNrqe1lFI9lFIfK6UWKqUWKKVuMLumtlBK2ZVSc5RSb5pdS1sopcqVUi8rpRYrpRYppcaaXVNrKaVuyvxsfa2UekEp5TG7puZSSj2plKpVSn29y8cqlVIfKKWWZX6vMLPG5trLY/lD5mdsnlLqv0qpchNLbLY9PZZd/u1mpZRWSnU0o7aW2NvjUEr9OPO8LFBK3duWa1gyRJVSduBR4GRgMHCeUmqwuVW1Wgq4WWs9GBgD/KiAHwvADcAis4vIgoeBd7XWg4BDKNDHpJTqBlwPjNRaDwHswLnmVtUiTwEn7faxW4EPtdYDgA8zfy8ET/Htx/IBMERrPRRYCtyW76Ja6Sm+/VhQSvUATgDW5rugVnqK3R6HUupo4AzgEK31QcB9bbmAJUMUGAUs11qv1FongBdpetAFR2u9SWs9O/PnIE03627mVtU6SqnuwCnA382upS2UUmXABOAJAK11Qmtdb2pRbeMAvEopB+ADNppcT7NprT8Dtu/24TOApzN/fhr4Tj5raq09PRat9fta61Tmr18A3fNeWCvs5XkBeBC4BSiIGal7eRzXAPdoreOZz6ltyzWsGqLdgHW7/H09BRo8u1JK9QaGA9NNLqW1HqLpBWSYXEdb9QG2AP/IdE3/XSnlN7uo1tBab6DpnfRaYBPQoLV+39yq2qxKa70p8+fNQJWZxWTRZcA7ZhfRWkqpM4ANWuuvzK6ljQYC45VS05VSnyqlDmvLF7NqiBYdpVQA+A9wo9a60ex6WkopdSpQq7WeZXYtWeAADgX+orUeDoQpnC7Db8iMF55B0xuDroBfKXWBuVVlj25ag1cQrZ59UUrdQdPQzvNm19IaSikfcDvwC7NryQIHUEnT8NrPgH8rpVRrv5hVQ3QD0GOXv3fPfKwgKaWcNAXo81rrV8yup5UOB05XSq2mqXv9GKXUc+aW1GrrgfVa6x09Ai/TFKqF6DhgldZ6i9Y6CbwCjDO5praqUUpVA2R+b1N3m9mUUpcApwLn68JdmN+PpjdqX2XuAd2B2UqpLqZW1TrrgVd0ky9p6llr9SQpq4boDGCAUqqPUspF00SJ102uqVUy73CeABZprR8wu57W0lrfprXurrXuTdPz8ZHWuiBbPFrrzcA6pdQBmQ8dCyw0saS2WAuMUUr5Mj9rx1Kgk6R28TpwcebPFwOvmVhLmyilTqJpCOR0rXXE7HpaS2s9X2vdWWvdO3MPWA8cmnktFZpXgaMBlFIDARdtOJ3GkiGaGYi/DniPphvCv7XWC8ytqtUOBy6kqeU2N/NrotlFCX4MPK+UmgcMA+42t5zWybSmXwZmA/Npek0XzPZsSqkXgGnAAUqp9Uqpy4F7gOOVUstoamnfY2aNzbWXx/IIUAJ8kHnt/9XUIptpL4+l4OzlcTwJ9M0se3kRuLgtPQSy7Z8QQgjRSpZsiQohhBCFQEJUCCGEaCUJUSGEEKKVJESFEEKIVpIQFUIIIVpJQlQIIYRoJQlRIYQQopX+P2PmM+ZIHetRAAAAAElFTkSuQmCC\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_3 = gr_img.copy()\n", + "str_3 = str_3[309:324,619:636]\n", + "plt.imshow(str_3, cmap='gist_gray')\n", + "plt.show()\n", + "\n", + "p0 = [70, 7, 10, 4, 1, 0, 0]\n", + "determinar(str_3,p0,FWHM_xi,FWHM_yi,incer=str_3.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 4" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[181.39720161 0.73469636 0.98245806 1.94925035 2.25033059\n", + " 3.05248272 78.45962331]\n", + "1.7300777056892003 2.3135119445798464\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_4 = gr_img.copy()\n", + "str_4 = str_4[18:23,607:612]\n", + "plt.imshow(str_4, cmap='gist_gray')\n", + "plt.show()\n", + "\n", + "p0 = [11, 3, 6, 0.9, 1.4, 0, 0]\n", + "determinar(str_4,p0,FWHM_xi,FWHM_yi,incer=str_4.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 5" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[166.83763898 1.12850905 1.28552333 4.56532092 4.21399213\n", + " 3.32990317 115.39600089]\n", + "2.657435737167189 3.0271761137992788\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_5 = gr_img.copy()\n", + "str_5 = str_5[347:356,542:552]\n", + "plt.imshow(str_5, cmap='gist_gray')\n", + "plt.show()\n", + "\n", + "p0 = [12, 3, 6, 0.8, 1.4, 0, 0]\n", + "determinar(str_5,p0,FWHM_xi,FWHM_yi,incer=str_5.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 6" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[155.79025228 0.85378903 1.05568553 2.08202815 1.70316379\n", + " -0.22008333 106.48341521]\n", + "2.0105195108028022 2.4859494493339502\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_6 = gr_img.copy()\n", + "str_6 = str_6[295:300,307:312]\n", + "plt.imshow(str_6, cmap='gist_gray')\n", + "plt.show()\n", + "\n", + "p0 = [70, 2.3, 5.9, 0.78, 1.7, 0, 0]\n", + "determinar(str_6,p0,FWHM_xi,FWHM_yi,incer=str_6.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 7" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[138.57467342 1.84344675 2.08148352 6.17117586 5.62605279\n", + " 0.63536992 107.33799354]\n", + "4.340985359062775 4.901519126606775\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_7 = gr_img.copy()\n", + "str_7 = str_7[142:154,387:399]\n", + "plt.imshow(str_7, cmap='gist_gray')\n", + "plt.show()\n", + "\n", + "p0 = [10, 2, 5, 3, 5, 0, 0]\n", + "determinar(str_7,p0,FWHM_xi,FWHM_yi,incer=str_7.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 8" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[133.55992457 0.98677464 1.29549702 2.12033093 2.36053394\n", + " 2.75037941 129.10974029]\n", + "2.3236767077234046 3.050662357379447\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_8 = gr_img.copy()\n", + "str_8 = str_8[459:465,322:327]\n", + "plt.imshow(str_8, cmap='gist_gray')\n", + "plt.show()\n", + "\n", + "p0 = [10, 3.43, 6.5, 0.01, 0.5, 0, 0]\n", + "determinar(str_8,p0,FWHM_xi,FWHM_yi,incer=str_8.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 9" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[190.85299257 1.24748929 0.89798364 2.10782787 3.12535911\n", + " 1.72494314 61.26764694]\n", + "2.937612779019202 2.1145898720577216\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_9 = gr_img.copy()\n", + "str_9 = str_9[277:284,1071:1076]\n", + "plt.imshow(str_9, cmap='gist_gray')\n", + "plt.show()\n", + "\n", + "p0 = [10, 3, 6, 0.8, 1.4, 0, 0]\n", + "determinar(str_9,p0,FWHM_xi,FWHM_yi,incer=str_9.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 10" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[219.64233685 1.0717617 0.97269196 2.28430393 2.86515034\n", + " -1.59071136 62.34114315]\n", + "2.523805945849836 2.2905145186106575\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_10 = gr_img.copy()\n", + "str_10 = str_10[43:49,883:889]\n", + "plt.imshow(str_10, cmap='gist_gray')\n", + "plt.show()\n", + "\n", + "p0 = [43, 3.4, 6, 0.8, 1.4, 0, 0]\n", + "determinar(str_10,p0,FWHM_xi,FWHM_yi,incer=str_10.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Los valores para el Full Width at Half Maximum (FHWM)\n", + "Considere el valor en dirección x & en dirección y. Saque la desviación estándar, el promedio, la mediana y el histograma" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.08205473 2.51426496 6.04578332 1.73007771 2.65743574 2.01051951\n", + " 4.34098536 2.32367671 2.93761278 2.52380595]\n", + "1.2442375593713781\n", + "2.916621675050629\n", + "2.519035453328353\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "FWHM_xi = abs(np.array(FWHM_xi))\n", + "print(FWHM_xi)\n", + "stdxi = FWHM_xi.std()\n", + "print(stdxi)\n", + "meanxi = FWHM_xi.mean()\n", + "print(meanxi)\n", + "medianxi = np.median(FWHM_xi)\n", + "print(medianxi)\n", + "plt.hist(FWHM_xi.flatten())\n", + "plt.title('Valores FHWM en la dirección x para escala de grises considerando incertidumbre')\n", + "plt.xlabel('Valor FHWM')\n", + "plt.ylabel('No de imagénes con ese valor')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.28885987 2.38436131 5.84888198 2.31351194 3.02717611 2.48594945\n", + " 4.90151913 3.05066236 2.11458987 2.29051452]\n", + "1.2080118897663938\n", + "3.0706026542016884\n", + "2.4351553795125156\n" + ] + }, + { + "data": { + "image/png": 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4HoiI+bnsWdIOeVVaJJ1Ifh8Rj3Qwj5mkA6rvkq6530m6/jZYvyVdFrmD1Cz1L9o3b32M1NT0AOna1Emdzihv5NNJ16jvIh3pn0C6nABwLGkD+h1pp3Yi6drjQtLB0TvyfP9GOphqnP7tpAT9P3na7wDeERFPdRpjw/TmAteTjpwv72fwa0jr3EPAl4A9I+LhHPvBebkeJW0LbX+lQbqGPjZP62rS99Mqxv7qdFfgZkmLgG+Trnk+ERH/IDXFHwY8QtoxbZ7H+XfgGEkLSTcYndli3gNdth+R1rcbSfX6y4b+HyAdSNySp3cWrZshjyE1a95F2s7PIu38OtWqXuaS7sU5krRNzyUluRXy3ydIZ1WPkHbeTU9iaL0uP0z6vg4j3VB1OOl5Eg91EPNL83IuIN0s90dSk3+joaxnSPc+bEU6eTq/yfRaiogLSevzH0j7rD80DDLQfX6n2u1LdgH2In2PD7D0JtpWTgQ2UWoe/1WT/keT9p135fk1fieHkPZF80mXEppNYyB+TbrM9CipFfJdEfF0swH7WZ9b6ruRyaw4kn5Muq/jc22G2Y90E9UbehaYLUPSQaTEPdizKLPiFf1wBiuXpKnAu0iXbmwYkbQ2qcn1KlILy2GkVjAzGyS/cMeKI+kLpN/bfj0i7qo7HnueFUl3nS8kNRn/mvRsBTMbJDfvm5mZFcJn+mZmZoXwNf0umjBhQkydOrXuMMzMXlBmzZr1UEQ8710YNnhO+l00depUZs6cWXcYZmYvKJIG+uQ765Cb983MzArhpG9mZlYIJ30zM7NCOOmbmZkVwknfzMysEE76ZmZmhXDSHyBJq0s6S9Jtkm6V9Lq6YzIzM+uEf6c/cN8GLoqIPSWtCKxSd0BmZmadcNIfAEmrAduT33Wf3+W+XO9zNzMz6zUn/YFZH5gHnCRpc2AWcEhELO4bQNIMYAbAlClTBjWzqUecP6jxl9ecr+xWy3zNzKy7fE1/YEYDWwHHRcSWwGLgiOoAEXF8REyLiGkTJ/rR0WZmNnw46Q/MPcA9EXFN7j6LdBBgZmY27DnpD0BEPADMlbRxLtoZuKXGkMzMzDrma/oD93Hg9Hzn/mxg/5rjMTMz64iT/gBFxA3AtLrjMDMzGyg375uZmRXCSd/MzKwQTvpmZmaFcNI3MzMrhJO+mZlZIZz0zczMCuGkb2ZmVggnfTMzs0I46ZuZmRXCSd/MzKwQTvpmZmaFcNI3MzMrhJO+mZlZIZz0zczMCuGkb2ZmVggnfTMzs0I46ZuZmRXCSd/MzKwQxSV9SaMkXVJ3HGZmZr1WXNKPiGeAZyWtVncsZmZmvTS67gBqsgi4SdLFwOK+wog4uL6QzMzMuqvUpP/L/GdmZlaMIpN+RJwiaUVgo1x0e0Q8XWdMZmZm3VZk0pe0I3AKMAcQMFnSByPishrDMjMz66oikz7wDWCXiLgdQNJGwBnAa2qNyszMrItKTfpj+hI+QETcIWlMJyNKmgMsBJ4BlkTEtO6EaGZmNrRKTfozJZ0AnJa73w/MHMD4O0XEQ0MflpmZWfeUmvQPAj4K9P1E73Lg+/WFY2Zm1n1FJv2IeBI4Nv8NeHTgd5IC+GFEHF/tKWkGMANgypQpgw3VzMxsyBSV9CXdREraTUXEZh1M5g0Rca+kNYGLJd1Wves/HwQcDzBt2rSW8zIzM+u1opI+MH2wE4iIe/P/ByWdA2wN+Kd+ZmY27BWV9CPi7sGML2kcsEJELMyfdwGOGZLgzMzMuqy4F+4ASNpW0nWSFkl6StIzkhZ0MOpawBWSbgSuBc6PiIu6G62ZmdnQKOpMv+K7wF7AL4BpwAdY+kjeliJiNrB5d0MzMzPrjiLP9AEi4k5gVEQ8ExEnAbvWHZOZmVk3lXqm/3h+4c4Nkr4G3E/BB0BmZlaGUhPdvqRl/xiwGJgMvLvWiMzMzLqs1DP915BuwlsAHF13MGZmZr1Q6pn+O4A7JP1E0nRJpR78mJlZQYpM+hGxP7Ah6e79vYG/5xfwmJmZjVjFnuFGxNOSLiQ9lncssAdwYK1BmZmZdVGRZ/qS3ibpZOBvpBv4TgBeWmtQZmZmXVbqmf4HgJ8DH85v3DMzMxvxikz6EbF33TGYmZn1WpHN+2ZmZiVy0jczMytEsUlf0lhJG9cdh5mZWa8UmfQlvQO4Abgod28h6dxagzIzM+uyIpM+cBSwNTAfICJuANavLxwzM7PuKzXpPx0RjzWURS2RmJmZ9UiRP9kDbpb0PmCUpJcDBwN/qjkmMzOzrir1TP/jwKbAk8AZwALg0DoDMjMz67Yiz/Qj4nHgs8BnJY0CxkXEv2oOy8zMrKuKPNOX9FNJq0oaB9wE3CLpU3XHZWZm1k1FJn1gk4hYQHqz3oWkO/f3rTUiMzOzLis16Y+RNIaU9M+NiKfx3ftmZjbClZr0fwjMAcYBl0laj3Qzn5mZ2YhV6o183wG+Uym6W9JOdcVjZmbWC0We6UtaS9KJki7M3ZsAH6w5LDMzs64qMukDJwO/BdbJ3Xfg3+mbmdkIV2rSnxARZwLPAkTEEuCZTkeWNErSnyWd160AzczMhlqpSX+xpDXId+xL2hZofBZ/O4cAt3YjMDMzs24pNel/AjgX2EDSlcCppEfz9kvSJGA34ITuhWdmZjb0Sr17/3pJOwAbAwJuz7/V78S3gMOB8c16SpoBzACYMmXK4IM1MzMbIqWe6RMRSyLi5oj4a6cJX9J04MGImNVmusdHxLSImDZx4sQhi9fMzGywik36y2k74J2S5gA/A94k6bR6QzIzM+uMk/4ARMRnImJSREwF9gL+EBH71ByWmZlZR4q8pg8gaV1gPSp1EBGX1ReRmZlZdxWZ9CV9FXgvcAtLf58fQMdJPyIuBS4d6tjMzMy6pcikT3q73sYR8WTdgZiZmfVKqdf0ZwNj6g7CzMysl0o9038cuEHS74HnzvYj4uD6QjIzM+uuUpP+ufnPzMysGEUm/Yg4RdKKwEa5aCBP5DMzM3tBKjLpS9oROAWYQ3oM72RJH/RP9szMbCQrMukD3wB2iYjbASRtBJwBvKbWqMzMzLqo1Lv3x/QlfICIuAPfzW9mZiNcqWf6MyWdAPQ9N//9wMwa4zEzM+u6UpP+QcBHgb6f6F0OfL++cMzMzLqv1KQ/Gvh2RBwLIGkUsFK9IZmZmXVXqdf0fw+MrXSPBf63pljMzMx6otSkv3JELOrryJ9XqTEeMzOzris16S+WtFVfh6TXAE/UGI+ZmVnXlXpN/1DgF5LuIz2c56WkV+2amZmNWEUm/Yi4TtIrgI1zkR/Da2ZmI16RSR8gJ/m/1h2HmZlZr5R6Td/MzKw4TvpmZmaFKDLpS9pO0rj8eR9Jx0par+64zMzMuqnIpA8cBzwuaXPgMODvwKn1hmRmZtZdpSb9JRERwO7AdyPie8D4mmMyMzPrqlLv3l8o6TPAvsAbJa2AX61rZmYjXKln+u8FngQ+FBEPAJOAr9cbkpmZWXcVmfRzoj+bpW/Wewg4p76IzMzMuq/IpC/p/wJnAT/MResCv+pgvJUlXSvpRkk3Szq6i2GamZkNqSKTPvBRYDtgAUBE/A1Ys4PxngTeFBGbA1sAu0ratltBmpmZDaVSk/6TEfFUX4ek0UD0N1Ikfa/kHZP/+h3PzMxsOCg16f9R0pHAWElvAX4B/KaTESWNknQD8CBwcURc09B/hqSZkmbOmzdvqOM2MzNbbqUm/SOAecBNwIeBC4DPdTJiRDwTEVuQ7vjfWtKrGvofHxHTImLaxIkThzZqMzOzQSjyd/oR8Szwo/y3vNOYL+kSYFf8tj4zM3sBKPJMPz97/2JJd0iaLekuSbM7GG+ipNXz57HAW4DbuhyumZnZkCjyTB84EfgPYBbwzADGWxs4RdIo0gHTmRFxXhfiMzMzG3KlJv3HIuLCgY4UEX8BtuxCPGZmZl1XatK/RNLXgV+SfnsPQERcX19IZmZm3VVq0t8m/59WKQvgTTXEYmZm1hNFJv2I2KnuGMzMzHqt1Lv315J0oqQLc/cmkg6oOy4zM7NuKibpS9pH0ktz58nAb4F1cvcdwKE1hGVmZtYzxSR94PfAsfnzhIg4E3gWICKWMLCf7pmZmb3gFJP0I+J+4KDcuVjSGuSX5eQ35T1WV2xmZma9UNSNfBHRl9g/AZwLbCDpSmAisGdtgZmZmfVAUUm/T0RcL2kHYGNAwO0R8XTNYZmZmXVVkUlf0rsaijaS9BhwU0Q8WEdMZmZm3VZk0gcOAF4HXJK7dyQ9h399ScdExE/qCszMzKxbSk36o4FXRsQ/If1uHziV9KS+ywAnfTMzG3GKuXu/weS+hJ89mMseAXxt38zMRqRSz/QvlXQe8Ivc/e5cNg6YX1tUZmZmXVRq0v8oKdFvl7tPBc6OiAD8XH4zMxuRikz6Obmflf/MzMyKUOQ1fUnbSrpO0iJJT0l6RtKCuuMyMzPrpiKTPvBdYG/gb8BY4EDge7VGZGZm1mWlJn0i4k5gVEQ8ExEnAbvWHZOZmVk3FXlNH3hc0orADZK+BtxPwQdAZmZWhlIT3b7AKOBjwGJgMulufjMzsxGryDP9iLg7f3wCOLrOWMzMzHqlyDN9SdMl/VnSI5IWSFrou/fNzGykK/JMH/gW8C7SW/Wi5ljMzMx6osgzfWAu8FcnfDMzK0mpZ/qHAxdI+iPwZF9hRBxbX0hmZmbdVeqZ/peAx4GVgfGVv7YkTZZ0iaRbJN0s6ZAux2lmZjZkSj3TXyciXrUc4y0BDouI6yWNB2ZJujgibhni+MzMzIZcqWf6F0jaZaAjRcT9EXF9/rwQuBVYd6iDMzMz64ZSz/QPAj4p6UngaUCkl++t2ukEJE0FtgSuaSifAcwAmDJlylDFW4SpR5xf27znfGW32uZtZtYrRZ7pR8T4iFghIsZGxKq5eyAJ/0XA2cChEbHM7/sj4viImBYR0yZOnDjUoZuZmS23os70Jb0iIm6TtFWz/n1N9/1MYwwp4Z8eEb8c6hjNzMy6paikD3yC1PT+jSb9AnhTu5ElCTgRuNU/7zMzsxeaopJ+RMzI/3dazklsR3pZz02SbshlR0bEBUMQnpmZWVcVlfQHKyKuIN30Z2Zm9oJT5I18ZmZmJXLSNzMzK0SRSV/JPpI+n7unSNq67rjMzMy6qcikD3wfeB2wd+5eCHyvvnDMzMy6r9Qb+baJiK0k/RkgIh6VtGLdQZmZmXVTqWf6T0saRfptPpImAs/WG5KZmVl3lZr0vwOcA6wp6UvAFcCX6w3JzMysu4ps3o+I0yXNAnYm/e5+j4i4teawzMzMuqqopC/pJZXOB4Ezqv0i4pHeR2VmZtYbRSV9YBbpOr6AKcCj+fPqwD+A9WuLzMzMrMuKuqYfEetHxMuA/wXeERETImINYDrwu3qjMzMz666ikn7FttWX5ETEhcDra4zHzMys60pr3u9zn6TPAafl7vcD99UYj5mZWdeVeqa/NzCR9LO9X+bPe7cdw8zM7AWuyDP9fJf+IXXHYWZm1kulnumbmZkVx0nfzMysEE76ZmZmhSgy6UuaJOkcSfMkPSjpbEmT6o7LzMysm4pM+sBJwLnA2sA6wG9ymZmZ2YhVatKfGBEnRcSS/Hcy6Wd7ZmZmI1apSf9hSftIGpX/9gEerjsoMzOzbio16X8IeA/wAHA/sCewf60RmZmZdVmpD+e5G3hn3XGYmZn1UlFJX9Ln2/SOiPhCz4IxMzPrsdKa9xc3+QM4APh0fyNL+nH+id9fuxeimZlZdxR1ph8R3+j7LGk86fn7+wM/A77RaryKk4HvAqd2Iz4zM7NuKu1MH0kvkfRF4C+kg56tIuLTEfFgf+NGxGXAI92O0czMrBuKOtOX9HXgXcDxwKsjYlEX5jEDmAEwZcqUoZ68mQ3C1CPOr2W+c76yWy3zhTKX2Vor7Uz/MNIT+D4H3CdpQf5bKGnBUMwgIo6PiGkRMW3iRD/vx8zMho+izvQjorSDHDMzs+c4CZqZmRXCSX8AJJ0BXAVsLOkeSQfUHZOZmVmnimreH6yI2LvuGMzMzJaXz/TNzMwK4aRvZmZWCCd9MzOzQjjpm5mZFcJJ38zMrBBO+mZmZoVw0jczMyuEk76ZmVkhnPTNzMwK4aRvZmZWCCd9MzOzQjjpm5mZFcJJ38zMrBBO+mZmZoVw0jczMyuEk76ZmVkhnPTNzMwK4aRvZmZWCCd9MzOzQjjpm5mZFcJJ38zMrBBO+mZmZoVw0jczMyuEk76ZmVkhnPTNzMwK4aRvZmZWCCf9AZK0q6TbJd0p6Yi64zEzM+uUk/4ASBoFfA94G7AJsLekTeqNyszMrDNO+gOzNXBnRMyOiKeAnwG71xyTmZlZRxQRdcfwgiFpT2DXiDgwd+8LbBMRH6sMMwOYkTs3Bm5vMqkJwENdDnewHOPgDff4wDEOFcc4eNX41ouIiXUGM1KNrjuAkSYijgeObzeMpJkRMa1HIS0Xxzh4wz0+cIxDxTEO3nCPb6Rw8/7A3AtMrnRPymVmZmbDnpP+wFwHvFzS+pJWBPYCzq05JjMzs464eX8AImKJpI8BvwVGAT+OiJuXY1Jtm/+HCcc4eMM9PnCMQ8UxDt5wj29E8I18ZmZmhXDzvpmZWSGc9M3MzArhpN8lkiZLukTSLZJulnRIk2Ek6Tv5kb5/kbTVMIxxR0mPSboh/32+xzGuLOlaSTfmGI9uMsxKkn6e6/EaSVOHWXz7SZpXqcMDexVfQxyjJP1Z0nlN+tVWhw1xtIux9nqUNEfSTXn+M5v0r3ub7i++WrfnHMPqks6SdJukWyW9rqF/rXU40vlGvu5ZAhwWEddLGg/MknRxRNxSGeZtwMvz3zbAcfn/cIoR4PKImN7DuKqeBN4UEYskjQGukHRhRFxdGeYA4NGI2FDSXsBXgfcOo/gAfl59iFNNDgFuBVZt0q/OOqxqFyMMj3rcKSJaPeSm7m0a2scH9W7PAN8GLoqIPfOvoFZp6D8c6nDE8pl+l0TE/RFxff68kLQjW7dhsN2BUyO5Glhd0trDLMZa5bpZlDvH5L/Gu093B07Jn88CdpakYRRf7SRNAnYDTmgxSG112KeDGF8Iat2mhztJqwHbAycCRMRTETG/YTDXYRc56fdAbirdErimode6wNxK9z3UlHTbxAjwutx8faGkTXsb2XNNvjcADwIXR0TLeoyIJcBjwBrDKD6Ad+emyrMkTW7Sv9u+BRwOPNuif611mH2L9jFC/fUYwO8kzVJ65Hajurfp/uKDerfn9YF5wEn5Ms4JksY1DFN3HY5oTvpdJulFwNnAoRGxoO54muknxutJz8HeHPgf4Fc9Do+IeCYitiA9AXFrSa/qdQztdBDfb4CpEbEZcDFLz6h7QtJ04MGImNXL+Q5EhzHWWo/ZGyJiK1IT9EclbV9DDO30F1/d2/NoYCvguIjYElgM+BXlPeSk30X5Gu/ZwOkR8csmg9T+WN/+YoyIBX3N1xFxATBG0oRexliJZT5wCbBrQ6/n6lHSaGA14OGeBkfr+CLi4Yh4MneeALymx6FtB7xT0hzSmyHfJOm0hmHqrsN+YxwG9UhE3Jv/PwicQ3rzZlWt23R/8Q2D7fke4J5Ka9hZpIOAqtr3iyOZk36X5OuhJwK3RsSxLQY7F/hAvlt1W+CxiLh/OMUo6aV913YlbU1aZ3qWDCRNlLR6/jwWeAtwW8Ng5wIfzJ/3BP4QPXrqVCfxNVyPfCfp3omeiYjPRMSkiJhKenT0HyJin4bBaqvDTmOsux4ljcs3vJKbpHcB/towWG3bdCfx1b09R8QDwFxJG+einYHGG4dr3S+OdL57v3u2A/YFbsrXewGOBKYARMQPgAuAtwN3Ao8D+w/DGPcEDpK0BHgC2KuXyQBYGzhF0ijSDurMiDhP0jHAzIg4l3Tg8hNJdwKPkJLGcIrvYEnvJP1a4hFgvx7G19IwqsOWhlk9rgWck3PmaOCnEXGRpI/AsNimO4mv7u0Z4OPA6fnO/dnA/sOoDkc8P4bXzMysEG7eNzMzK4STvpmZWSGc9M3MzArhpG9mZlYIJ30zM7NCOOmb1UzpTYdvbSg7VNJxbca5VNK0QczzZEl3aenb1g7O5XOqD2tReivbefk30w9JenEuX1tSSHpDZdh5ktaQdFTut2HD8sRgYjazwXPSN6vfGTz/d/F75fIhkZ8j0OhTEbFF/vtOu/Hzb7mvBvpeg/p64M/5P/lhKw9HRN+DXm5i2WX6N+DmQSyCmQ0BJ32z+p0F7JYfVtL38qN1gMslHSdppqSbJR3dbGRJeyu9Q/2vkr5aKV8k6RuSbmRpsh6MP5GTfP7/TZY9CLiyMuyvSG9LQ9IGpBf4tHvdq5n1gJO+Wc0i4hHgWtJLUiCdIZ+Zz64/GxHTgM2AHSRtVh1X0jrAV4E3AVsAr5W0R+49DrgmIjaPiCuazPrrleb9V1fKL+krZ9nX3F7J0qS/NenZ7n3PSH896aCgzwLS41ZflZfn5/3XhJl1m5O+2fBQbeKvNu2/R9L1pKb0TYFNGsZ7LXBpRMzLr8Q9nfS+coBnSC9TaqXavH9TpXynvnLgwEr5dcCW+bnuY/KLW2bna/eNZ/qQXpyzF7AH6QDBzGrmpG82PPwa2FnSVsAqETFL0vrAJ4Gd8+tkzwdWHsA0/xURzwxVgBHxOPA34EOkV7RCus7/dmBN4PaGUc4jvdvhH8P1tdJmpXHSNxsG8lnzJcCPWXqWvyrpfeOPSVqLpc3/VdeSmv0n5Jv19gb+2MVQ/wQcClyVu68CDgGubnxxSz5I+DTwpS7GY2YD4KRvNnycAWye/xMRN5Ka9W8Dfsrzm8/Jrxw9gnTAcCMwKyJ+3cUYrwRextKkfz3pfed/ajZwRPwsIq5v1s/Mes9v2TMzMyuEz/TNzMwK4aRvZmZWCCd9MzOzQjjpm5mZFcJJ38zMrBBO+mZmZoVw0jczMyvE/wc8SFlmyO+daQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "FWHM_yi = abs(np.array(FWHM_yi))\n", + "print(FWHM_yi)\n", + "stdyi = FWHM_yi.std()\n", + "print(stdyi)\n", + "meanyi = FWHM_yi.mean()\n", + "print(meanyi)\n", + "medianyi = np.median(FWHM_yi)\n", + "print(medianyi)\n", + "plt.hist(FWHM_yi.flatten())\n", + "plt.title('Valores FHWM en la dirección y para escala de grises considerando incertidumbre')\n", + "plt.xlabel('Valor FHWM')\n", + "plt.ylabel('No de imagénes con ese valor')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Canal rojo" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [], + "source": [ + "FWHM_xir = []\n", + "FWHM_yir = []" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 1" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[182.91431936 0.91235058 1.00060875 1.99849318 2.04670046\n", + " -0.31143976 90.21305084]\n", + "2.1484214221733677 2.3562535363489063\n" + ] + }, + { + "data": { + "image/png": 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DvYMHB9VwWFU4EhLIuuUWdl12Ga2//57m8+cz0eViTatWzO7Uifwgvpszq18XYf4b6AzsNTaOT0nBnIeeHg8fOZ2ssVi43WZDlxlj1U8pGqxdS/pHHxGdn8+Biy4i66abcCQmGp0sIDgSE9l2663svOwyIiZNom9uLt137eKX1q2Z07EjBVI0AeP3izAzCZ5FmFIwVdRa15nmdHJQ07jaZsMu5VLtYvLyyJgyhXqbNnG6SROWPfccBe3aGR0rIDmSkpiVmcn8Dh0YunkzfXNz6blzJ6vatGFux44UmGy6drDaj3dm2Y/AO8BthqbxHSmYKqh7Zq2LCxhls3FKyqVa2TweRu3YwcWzZqGHhbHlttvYO2wYKkSHw6qiODqabzIzWZCRwdDNm+mdm0vmjh2sbNOGOZ06URgba3TEkDcXeA4Yj3cR5vkf2hw4pGAqKUYpvnU4qK0UQyMi2C9rXapV57w8bt+8mbrl5Rzs04esm2/GXqOG0bFMpygmhq969WJeRgbDNm+m1/btZO7cycozdzRSNMb6dRHmG3hnma03Ns4Fk4KpBKtS/NvpJEMpRttsbJByqTZ1ysq4bcsWuublcSgujvF9+pAxdqzRsUyvKDaWqb17M69DB4Zt2kSvHTu8dzQpKczt0IEiKRpD6Hj3K/v1eYzZF2FKwZyLUrzucjFU17kvPJy5MhxTLcI9Hi7buZPLt29H1zQ+S01lTqtWuC0WMowOF0QKY2P5sk+f/xRNn9xcem3fzoq2bZnboQOnA2CH6VBzCriK/38S5jDMuwhTCuYcHnW7ud3j4Z9hYUyRtS7VIuPYMe7YvJn6ZWWsatiQT9LTOeWnkyWF16m4OL7o25d5HTsybNMm+ubk0Hv7dpa3bcu8Dh0ols+/Wm3AO335A8y9CFOumH/iOrebCW43U61Wxku5+F2t8nJu3bKFHkePciQ2lmd792Zr3bpGxwopBXFxfN6373/uaC7KzqZPbi7L27ZlvhRNtfoQ8y/ClKvmH+jv8fCey8VSi4W75NAwvwrTdUbu2sVVublowBft2/NDq1a4ZTjSMPnx8fy7Xz/mduzIiI0b6Z+dTd/cXJa1a8f8jAxKpGiqxT1AB8y7CFMK5ixSdZ2pTic7NI3rbDZcUi5+k3biBHds2kTD0lLWNGjAx+np5Mu4f8DIj4/n04suYs6ZohmYlUW/nByWtm/PgowMSqKijI4Y1Ox4n8csBVojBWN6DZVihsNBCXC5zcZpKRe/qFFRwS1bt9Lr8GHyYmJ4oVcvNtWrZ3Qs8QdOJiTwSf/+/ymai7dt+0/RzM/IoCwy0uiIQWsf0ApwGh3kPEjB/Eb8mXKJAy6OiOCITEf2OauuM3z3bkbn5mLRdb5q146ZrVvjkuEwUziRmMjHAwYwp1MnRmzcyKAtW+iXnc2S1FQWpqdL0fiJGcsFpGD+I1wppjqdtFGKy202sqRcfK7dyZPcsXkzTYqL2VCvHlMyMjgh6y1M6XhiIh8NGPCfO5ohmzfTPzubn9q3Z2F6OuVSNAIpGC+leNflor+uc0d4OD/Jd9M+lWi3c/PWrfQ9dIgT0dG81LMn6+WckqBwLCmJKQMHMqdjR0Zu3MjwX4smNZVF6emUR0QYHVEYSAoGmOB2c73Hw8SwML6U6cg+Y9F1hu7ZwzU5Odh0nekpKXzXpg1O+YyDTl6NGnxw8cXMPnWKkRs2MGLTJgZkZbE4LY1FaWlUSNGEpJD/m367282jbjcfW628LBc+n2mTn8+YzZtJPn2aTXXrMiUjg2Oyc2/QO1qjBpMHDaJhQQEjN2xg5MaN/1U0dpvN6IiiGoX0FXWYx8PrLhfzLRbul7UuPhFvt3NjVhYDDhwgPyqKf/bowZoGDeSzDTFHatbk/cGDaZSfz8iNG7lkwwYGbNvGovR0fkpNlaIJESFbMJ11nc+cTrZqGjfabHjkAnhBLEoxaO9ersvOJtLtZkbr1kxv2xaH3BWGtMO1avHe4ME0zs9n5IYNXLZ+PRdv28bCtDR+Sk3FIUUT1M75t1/TtI+AkcAJpVSq/yP5X7KuM93h4KSmcUVEBGVSLhek1alT3LFpEy2KithWuzYfdujAETkxUfzGoVq1eHfIEJqcPMklGzYwav16uu7Zw6uXXCJTm4NYZebifgIM9XOOalPjzKFh4XgPDTsu5XLeYh0O/rphAy8sWUKi3c6/unVjYp8+Ui7iDx2sXZu3hw7ljWHDqFNczP1z5xLpNOsqD3Eu5ywYpdRyvDtIm16EUnzjdNLkzLkuO2Wty/lRioH79vHmggUMOHCAH1u14oHBg1nVuLE8axGVkt24Me9ffDGN8/O5d948wt1uoyMJP/DZFVbTtDs1TVuvaVrAHsJ2jcdDpq5zZ3g4q2Sty3kbnZvL/23cyMH4eB4eOJDP0tOxh4cbHUuYzLamTZkyYACtjh1j6ObNRscRfuCzglFKTVZKdVFKdfHVa/paB12nGPhWyuW8Dd+1i9G5uSxOTmZ8374cSkgwOpIwsQ0tWrC5aVMuys7G5nIZHUf4WEiNEaUpRZbFgpJhnPPS78ABbt+6lTUNGvB+x44yHCZ8YkFGBrEOB5k7dhgdRfhY6BSMUqTqOtvkonheuhw9yt0bNrCtdm0mdeuGLs+vhI/sqVePPXXrcvG2bVh0sx4OLM7mnFcJTdOmAr8AbTRNO6xp2l/8H8v3mipFArBNLoxV1u7kSf62Zg17ExN5uWdP2fn4LCwuFxYZ4jlvC9LTqV1SQqd9+4yOInyoMrPIrlNK1VdKhSulGimlplRHMF9LVwqQgqmqZoWFPL5qFcfPnNkiD/P/V+Plyxl17bVceuONRJ84YXQcU9rStCnHExIYvGULnPm7KswvZK62abqODmTLEFmlNSgp4akVKyiz2Xiud29KZcPC/9FgzRo6v/kmjrg4lMVCn/HjiSwoMDqW6SiLhYXp6TTNz6d1Xp7RcYSPhFTB7NY0yqVgKqVmeTlP//wzaBrP9u7NKTmD/X/U3bSJbv/6F4UtWzL/3XdZ/txz2EpK6D1xIhGnTxsdz3R+adWK4qgo712MCAqhUzBKyfBYJYV7PDy1YgXRLhfP9+5NnuyC/D9qZWfT4x//oLhxY1Y99RTuqCgKW7Zk1ZNPEn3yJL0mTiS8pMTomKbiDgtjSfv2pB06RINTQbG2O+SFxBU3UinqKyUzyCpp2O7dNC4pYVL37uxLTDQ6TsBJ2rmTni++SFmdOqx4+mlcMTH/+X8F7dqx+vHHiTtyhF7PP09YebmBSc1nWbt2OMLC5C4mSIREwdg1jTqRkbwlO/ueU6zDwZU7drChXj021atndJyAk7BvH72efx5HYiIrxo/HeZaFpicyMljz8MMk7ttH5osvYrXbDUhqTmWRkaxs04Zuu3eTWFpqdBxxgUKiYAA88vylUq7avp1Il4t/p6UZHSXgxB0+TO9nn8UdFcXP48djr1HjD3/usa5dWffAA9TcsYMe//gHFtnQsdIWpacDMDAry+Ak4kKFTMGIc6tXWsrQPXv4KTmZw7Ij8n+JOXaM3hMmoCwWfh4/noo6dc75a4706sWGu++m7pYtdH/1VTTZ0LFSCuLi2NC8OX1yc2WnZZOTghH/cUNWFi6Lha/btTM6SkCJys+n94QJWNxuVowfT1mDBpX+tQf792fzmDHUX7+eLm+8AR6PH5MGjwUZGUS5XPTNzTU6irgAUjACgDYFBfQ8coSZbdpQFBVldJyAEVFYSO8JE7CVlbHy6acpbtKkyq+xd+hQtt18M41XrqTzu++CbIdyTodq1WJ7gwYM2LYNq5SyaUnBCFCKm7du5VRkJD+0amV0moBhKymh97PPEnXqFCvHjaOoRYvzfq1dl11GzjXX0HTJEjKmTJHV6pWwICODpPJyuu3ebXQUcZ6kYAQ9jhyhzalTfHVmiqiAsLIyej33HLF5efzy+OOcSkm54NfcfvXV7Bg1ihbz5pH6739LyZxDdqNGHK5Rg0Fbt8pnZVJSMCEuTNe5MSuLA/HxLE1ONjpOQLDa7WT+/e8k7N/Pmocf5uSZWU0XTNPIvvFG9gwbRuuZM0mZNs03rxusNI0F6ek0LCwk9dAho9OI8yAFE+KG7NlDvbIy/p2Whi7TuLE4nfR4+WVq7tjBurFjOdbFx+fnaRpbbr+d/QMG0O7rr2k1c6ZvXz/IrGvZklMxMbLw0qSkYEJYjNPJVbm5bKlTh8116xodx3Ca2033V1+l7tatbLj7bo5kZvrnjSwWNt51F4d69SLts89oPm+ef94nCOgWC4vT0miTl0dT2anadKRgQtgV27cT43LxWVqanE7p8dDljTeov349m8eM4WD//v59P6uV9fffz9GuXenwwQc0/ekn/76fia1ISaEiPJzBW7caHUVUkRRMiKpTVsbwPXtY2rQpB0J9vzFdp/O779J45Uq23Xwze4cOrZa3VWFhrH3oIY5nZNDp3XdpuHJltbyv2dhtNpa3a0enffuoVVxsdBxRBVIwIer6rCx0TeOr9u2NjmIspciYMoWmS5aQO3o0uy67rFrfXg8PZ/Vjj5GfkkLX11+n/rp11fr+ZrE4NRVd07hY7mJMRQomBLU8dYrehw/zQ6tWnArlRZVK0f7zz2kxbx47L72U3NGjDYnhiYjglyefpKh5c7q98gp1Nm82JEcgOx0Tw5qWLem1YwcxsnmoaUjBhBqluHnbNooiIvi+dWuj0xiqzbff0ub779k7ZAhZN99s6HMod1QUK596ipJGjbyz2LKzDcsSqBZmZGDzeLhIPhvTkIIJMV2PHqVdfj7ftGuHPTzc6DiGafnDD7SfOpUDF13E5jvuCIhJDq7YWFY+8wzltWuT+eKLJO3aZXSkgJKXlMTWJk3on51NuGwcagpSMCHEemZR5eG4OBaF8KLK5AULSP/kEw737MnGu++GADrp1JGQwIrx43EkJNDruedI2L/f6EgBZUF6OnF2Oz137jQ6iqiEwPmbJfxu0L59NCwt9S6qDKCLanVqvGwZHSdPJq9zZ9Y98ADKajU60v+w16zJigkTcEdF0WviROIOHzY6UsDYVb8++2rXZtDWrWiyaWjAC82rTAiKdrm4OieHrNq12RCiJ1U2+OUXurz1FidTU1nz0EOoAB4iLK9ThxXjx4PFQu+JE4k5dszoSIFB01iQkUGd4mI6yN1dwJOCCRGjduwgwekM2UWVdTdsoNukSZxq1YpfHnsMPSLC6EjnVNqgASvGj8fictF7wgSi8vONjhQQNiUncyI+3rvwUjbBDGhSMCGgVnk5I3btYlmTJuxNSjI6TrWrtW0bPV55hdNNmrBq3Dg8JpqaXdykCSuffhpbWRm9J0wgorDQ6EiGUxYLi9LSaH7iBC3lzi6gScGEgOuys9GAqSF4UmWNHTvIfOklSuvWZeXTT+OKiTE6UpUVtWjBynHjiCospPezz2IrKTE6kuFWtWlDSWQkQ2QTzIAmBRPkmhUW0ufgQWa3bEm+CS+uFyJh714yn38ee2IiK8ePxxkfb3Sk83YqJYVfHn+c2Lw8ej33HGFlZUZHMpQrLIyl7dqRfvAg9eWuLmBJwQSzM4sqS202ZvjgwCwziTt0iN7PPYc7OpqfJ0zAHgRDgyfT0lj9yCMkHDhArxdewFpRYXQkQy1t3x6n1SrbxwQwKZgg1unYMdJOnmRa27aUB/CMKV+Lycuj98SJKIuFnydMoKJ2baMj+czxzp1ZO3YsNXbtoufLL2NxOIyOZJjSqChWtWlD9127iC8vNzqOOAspmCBl0XVu2raNo7GxLGze3Og41Sbq5En6TJiAxe3m5/HjKatf3+hIPne0Z0/W33svtbOy6PHKK2gul9GRDLMwPR2rUgzIyjI6ijgLKZggNWD/fhqXlPB5airuEFlUGVFYSO+JEwkrL2flM89Q0qSJ0ZH85lC/fmy6807qbdxIt0mT0DweoyMZIj8+nk3JyfTLySHC6TQ6jvid0LjyhJhIl4trcnLIrVmTtQ0aGB2nWthKSug9cSJRhYWsGjeOohC4a9s/eDBbbruNhqtX0/mttyBEV7YvyMgg2umkz/btRkcRvxPmjxe1Wq3Em3jGTnW78sorffp6adOmkeRwsG7cOK5s2dKnrx0Irrjiiv/+D6dPw8CBcOIEzJnDRQMGGBPMCFdcAS1a0OSpp2iSkgLvvfc/C2nLQ+D5xPHcXIbv2oXzr39FhV34Ze3LL7/0QarQ8GdfX3IHE2SiTp0iZfZsDvToQUEQlsv/KCuD4cNh61b47jsIpXL51bhx8MQTMHky/O1vIbm6PWfkSGIKCkhes8boKOI3/HIHI4yTNn06msfDlmuuMTqK/9ntcNllsHo1fP21t2hC1QsvQHk5TJoEMTHw/PNGJ6pWR9LTKWrYkHazZ7MvMzMkt0MKRHIHE0QSDx6k+bJl7BoyhLK6dY2O419OJ1x9NSxeDJ98AlddZXQiY2kavPYajBnjLZu//93oRNXLYiFn+HCSDh2ivswoCxhSMEGkw5df4oyOJnvUKKOj+JfHAzfeCD/+CO++CzfdZHSiwKBp3s/jhhvgySfh9deNTlSt9vfsSXliIu1mzzY6ijhDhsiCRL0tW6i/dSsbb7gBZ2ys0XH8R9fhL3+BadPg1VfhrruMThRYrFbvHV1FBYwd6x0ui4w0OlW10MPD2T5kCJ2+/poa+/dzKoQP1QsUcgcTBDRdp+OXX1Jauza7Bg82Oo7/KEXnTz+FTz+FiRO9D7TF/woLg6lTYdgwuPNOkleuNDpRtdnVvz/OyEjazpljdBSBFExQSF6+nMRDh9h83XXowboljFJ0mDqV1gsXwiOPwNNPG50osNls8O23cNFFZE6eTOP1641OVC1cMTHs7t+fpmvWECPn5xhOCsbkrHY76dOmkd+yJYe6dzc6jt+0nzGDtj/+yM5Bg+Dll2WWUGVERcGsWRQ0b07vt96iQYhsbb99yBDQNFLmzTM6SsiTgjG5lDlziC4sZNP11wftRTdl9mzSp09nb9++bLjllqD9ffpFbCw/PfwwRY0b0/f116mbm2t0Ir8rr1mT/T160GrJEmylpUbHCWlSMCYWWVRE2x9+4FDXruQH6Xb8LRctouMXX3CgRw/W3nknhMi+ar7kionhp0cfpbROHS569VVq7dpldCS/yxk+nDCnk9aLFxsdJaTJ31YTS/32W6xuN5uvvdboKH6RvHw5XT/6iCMdO7L67rtRUi7nzREXx+LHH6ciMZEBr7xCjf37jY7kV0VNmnA0LY02CxdikU0wDSN/Y00q/vBhWvz0E7suvpjSINySvvGaNXR//32OtW/PigceQPfB/lKhriIxkUWPP44zKooBL79MwuHDRkfyq+wRI4g6fZrmITSLLtBIwZhUh6lTcUdGknX55UZH8bkGmzaR+dZbFLRqxfKHHkK32YyOFDTKa9Vi0RNPoIeFcfFLLxF37JjRkfzmeLt2FCQn03bu3JDdadpoUjAmVDc7m4abNpEzapSpz5k/m7rZ2fSeNInCJk1Y9uijeEJkkWB1Kq1bl8WPP46m61z80kvBO51X08gZPpyEvDwabdpkdJqQJAVjNrpOhy++oKxWLXYMGWJ0Gp+qtXMnfV55hZJ69Vj6+OO4oqONjlQ5SsG+fd4fJnG6YUMWP/YYYRUVXPz3vxNVWGh0JL842K0bpbVqyfYxBpGCMZnklSupsX8/W0aPDqqho6R9++j38stUJCWx5IkncMbFGR2pcpTy7vvVvLn3x88/G52o0gqbNuWnRx4hsriYgS+9RERxsdGRfE5ZreQOHUqdXbuotXOn0XFCjhSMiVidTtK/+YaCZs04kJlpdByfiT98mP5//zvOmBiWjBuHPTHR6EiV9+KL8NJL3oO/2rSBESNg7VqjU1VaQcuWLPnb34jNz2fgyy9jKyszOpLP7e7XD0dsLO1k+5hqJwVjIq3nzSOmoIDNN9wQNOtBYo8dY8CLL+IJC2PJuHGU16xpdKTKmzQJnnrKu5vztGneowNq14ahQ70HoJnEibZtWfbAAyQcPUr/f/6TsIoKoyP5lCcykp0DB9J440bi8vKMjhNSguMqFQIiiotpP3Mmhzt14kS7dkbH8YnokycZ8OKLaB4PS558klIznWEzeTI8+CBceSV89JG38Bs29JZMTAxcfDGY6Iz4vPR0fr73Xmru20f/V1/F6nAYHcmndgwahB4WRru5c42OElKkYEwi9bvvsDocbLnuOqOj+ERkYSEDXnyR8PJylj7xBMWNGhkdqfI+/9x7TMDw4fDll97di3+VnOwtGYsFBg6EvXsNi1lVhzt3ZtVdd1Fn5076vf46FpfL6Eg+Y09IYG/v3jRfsYLI06eNjhMypGBMIO7oUVouXsye/v0pbtjQ6DgXzFZczIAXXySyqIiljz1GoZnO7fjuO7j1VrjoIpg+3btr8e+1bg2LFnmPdB44EA4dqu6U521/z56s/stfaLBtG33eegvN7TY6ks/kDBuGxe2mzYIFRkcJGVIwJpDx1Vd4wsPJCoJjgcPLyuj/0kvEnDjB8kceoaBVK6MjVd68eXDttdCtG8ya5d2t+I+kpsKCBXDqlHe47Pjx6st5gfb068fam2+m8caN9Hr/fbQgWaRYUr8+hzp3pvXixYTZ7UbHCQlSMAGu9vbtNF6/npxLL8WekGB0nAsSZrfT7x//IOHQIVY8+KC5niUtXQqXX+4tjjlzoDKnhnbu7P25hw97S6agwO8xfWXnoEFsvOYaklevpvuUKUGzEj5n+HAiysposWyZ0VFCghRMINN1On7+OeU1arBj2DCj01wQq9NJ31deoeaePay67z7yOnQwOlLlrV4NI0d617ksWABVmUbdq5f3bmfXLhgyBEw0/p8zciRbR42i5fLldPn8c++aH5PLb9WKE61b03bePDSPx+g4QU8KJoA1Wb2amnv3svXqq/FERBgd57xZ3G56TZpEndxc1tx1F4e7dTM6UuVt3uw9erhePe9zlVq1qv4aAwd6T5fcutU7McBEZ5RsveIKcoYNI2XhQjp8801QlEzO8OHE5ufT1ETrlcxKCiZAWVwuMr7+msKmTdnfp4/Rcc6b5vHQ8623aLh5M+tuv539vXsbHanycnNh0CCIi/PODLuQXatHjPDOOFu9Gi67DMyy1kTT2HjddewcMIDUH38kbeZMoxNdsMMdO3K6fn3v9jFBUJiBTAomQLVesIDYkyfZfP315j0HRdfpPnkyTdauZeONN7Jn4ECjE1Xenj3eO4+wMG+5NG164a951VXwySewZIn3n81yTommsfaWW9jTuzcZ337r3Z3YzCwWcocNo8aBA9TLyTE6TVAz6ZUruNlKS2k/YwZHMzI4lpZmdJzzoxRdPv6YZj//zNarr2bH8OFGJ6q8Q4e85eJ0eofFfDnT7aab4N13vQ//r78ezDIN2GJh9R13cKBbNzp/+SWtTH5S5N5evahISJBNMP1MCiYAtZ8xg7CKCjZff73RUc6PUnQ4cxHKueQSskeNMjpR5R075i2XwkLvA/327X3/Hn/9K/zrX97nMrffbpoZWspqZeX//R+HO3Sg+yef0GzFCqMjnTfdZmP74ME02LaNxIMHjY4TtKRgAkzs8eO0WrCAff36cbpxY6PjnJfUb7+l7ezZ7Bw8mC3XXguaZnSkyiko8D5zOXoU5s6FTp38914PPgjPPw///jfcfbdpngXoYWEsv+8+8tq3p+fkyTRZs8boSOdt18CBuCIiZBNMP5KCCTAZX32FCgtj29VXGx3lvKT88ANp333H3n792HDzzeYpl9OnvdOId+3yTiuujt2qx42DJ56A99+Hhx4yT8nYbCwdO5b8Vq3o/e67NDTpYV7OmBh2X3QRyatXE22iNUpmIgUTQGru3EmTNWvIHTGCiqQko+NUWcuFC+k4dSoHevRg7Zgx5tnxuazMO8tr61bvsNWAAdX33i+8APffD6+9Bs88U33ve4E8kZEsefhhCps0oe+bb1IvK8voSOdl+9ChoBQp8+cbHSUomeQKEAKUouOXX1KRmMj2kSONTlNlzZYvp+vHH3O4c2d+uftu88x8s9th1Cj45RfvNOIRI6r3/TXNu+3/HXd4h8xeeql63/8CuKKiWPzooxTXq8dFr71G7R07jI5UZWW1anGge3daLVlCeBCehWM0k1wFgl+jdeuovXMn2666CrfJzqFvvHo13d5/n7y0NFbedx/qt7sLBzKXC0aP9s4U+/hj79RhI2gavPeed1bZE0/AG28Yk+M8OGNjWfzYY5TVrEn/V16hpol2j/5VzogRhNvttFqyxOgoQeecBaNpWmNN05ZompajaVq2pmkPVEewUGJxu+kwdSpFjRqxt18/o+NUSYONG8l8+23yW7fm5wcfNM8xzh6Pd8rwDz94pw3ffLOxeaxW+PRT735nDzwAH35obJ4qsCcksPjxx3HExTHgH/8w3ayswqZNyWvfnpT584PqiIJAUJk7GDfwkFKqHdADuEfTNBPtUhj4Wi5aRNzx42y+7jqU1Wp0nEqrm5VF79dfp7BpU5Y98gges9x56bp3SOrrr+GVV7xnuwSCsDCYOtV7Iuadd8IXXxidqNLKa9Rg0eOP47bZGPjyy8QfPWp0pCrJGTGC6KIimq1aZXSUoHLOglFK5SmlNp755xIgFzD/oSQBIl7XSf3uO461b2+qDSBr7dhB31dfpaRePZY+/jju6GijI1WOUt6H6p98AhMnemdvBZKICO+ZM/36wS23wIwZRieqtLI6dVj8xBMADDxzJINZ5KWmcqpJE9rOmWOadUlmUKVnMJqmJQMdAfNOfg8wQxwOIkpLvYsRzTKlF+j02WdobjdLH30UZ2W2rg8UW7bA2297H+Y//bTRac4uKgpmzvTugXbXXaaZvgxQXL8+K+65h5jCQtJNVI5oGvt79iTx6FHiTXR2T6CrdMFomhYLfAuMVUoVn+X/36lp2npN09br8h1ApW0ODwcw3bj19hEjsHo8pJhtkVpamndH43nzvGe8BKqXX4aiInjySVN946F5PKTOnIknPJwdgwcbHafylCL5l18orlePkrp1jU4TNCpVMJqmheMtly+UUt+d7ecopSYrpboopbpYzDJFNQDsCgujsGlTmv7yi9FRquRgZiY7hg4lZe5cmphp3Npq9U5Hbt3aO2tszx6jE/2vL7+EF1+EMWO8w3km0vHrr6mfk8Pq22/nVLNmRseptIabNlHj4EGyLr3UPFPsTaAys8g0YAqQq5T6l/8jhZ79mZnU2r2bWJPdmm+6/npOtm5N9w8+IP7wYaPjVF5Cgne1PsAll0Dx/9yQG2fNGu/+ZH37wltvmeruJfmXX2g3dy7bBw1in5mOZVCKtJkzKaldm309exqdJqhUpqp7ATcBAzRN23zmh4m2xg18B89sS9LUTHcCgAoLY8UDD+CKjKTPa68RVl5udKTKa9kSpk/3bg1z3XXeactGO3zYu+izfn3vjgJmmfINJB04QI8PP+R4mzZsMNkmrfWysqi1dy/ZI0eaZw2XSVRmFtkKpZSmlEpXSnU488NkA++BrbxmTU6kpNB05UpTPdAFsCclsfL++4k9fpwe779vrvz9+3sXNc6ZA48/bmyW8nLvQWSlpd61OedzcqZBbCUl9Js0CUdsLD+baaHtGWkzZ1JWowZ7TXywX6CSwcYAsb9XLxKOHiXxwAGjo1TZybZt2Xz99TRet462P/5odJyq+b//8+5m/Mor3oWORlAKbr0VNm3yroNJTTUmx3nQPB76vP02UadPs/yBB7AnJBgdqUrqbN9O3R07yBkxAv3MhBvhO1IwAeJQt27oVivJJhsm+9WOYcM40KMH6V99Rd3sbKPjVM2kSd4NLu+8E4z4/J99FqZN884cM9k+dB2mTaN+djZrbr2VgubNjY5TZakzZ1KRkMDuiy4yOkpQkoIJEM64OPLS070zssw4zVvTWDtmDCUNGpD55ptEmWn78/Bw7wW+cWPvVi3VOWV82jSYMMG7Vc3DD1ff+/pAkzVraD97NjsGDmRv375Gx6mymrt30yAri5xhw/CY6HmXmUjBBJADmZnEnDplyl1pAdxRUfw8dixWp5Per7+OxSzHAQPUqOF99mG3w6WXep+F+NvGjd7V+j17es+EMdGMscRDh8icPJkTrVuz4cYbjY5zXtJmzsQRG8uugQONjhK0pGACyJHOnXFHRJhuNtlvlTRsyJq//pVau3fT8d//NjpO1bRtC199Bdu2eS/8/ryTzMvzPtSvVcu7HYxZ9nEDbKWl9Js0CWdMDMvvuw/dZA/1AZL276fR5s3kDhliut3LzUQKJoC4IyM53LkzTdasMdd3/79zqHt3ckeMoPXChST//LPRcapm2DD45z+9+4FNnOif97DbvUNxp0551+OYaOW4puv0fucdogsKWH7//dgTE42OdF5SZ83CGR1trt0GTEgKJsAcyMwkorSUetu2GR3lgmy59lqOt2tH1ylTTLcNDg8+CLfd5n34/vXXvn1tpbw7Oa9ZA//+N5hog1OAjOnTabBtG+tuuYX8li2NjnNeEg4fpum6dewYNAiXWTZpNSkpmABzLD0dR2ysd02MiSmrlVX33YczJober71mrtMCNc17RkyvXt7pw+vX++61X37Zuw3/c8/BFVf47nWrQZO1a0n94Qd29e/P7v79jY5z3lJnzcIVEcH2IUOMjhL0pGACjB4WxsHu3Wm0YQNWu93oOBfEnpDAygceICY/nx7vvmuu2XG/bptfp453dX1e3oW/5syZ3s0rr70Wxo278NerRgmHD9Nz8mROtmzJuptuMjrOeYs7doymq1ezc+BAHHFxRscJelIwAehAZiZhDgeNNm40OsoFy2/dmo033kijjRtp9+v+X2ZRp473GUlhobdkKirO/7W2boUbboDOneGjj0w1Yyy8rIx+kybhjoxk+f33m3pBYvsffkAPCyN32DCjo4QEKZgAdLJNG8pq1DD9MNmvdg0ezP7MTNKnTaPe1q1Gx6majAz4/HNYu9a7u/H5bIVz4oR36nNCgvcuJirK9zn9Rdfp/e67xOTns/z++6lISjI60XmLOXmS5itXsrt/f9NOTjAbKZhAZLFwMDOT+lu3YispMTrNhdM01t5xB6cbNSLzrbeIPnnS6ERVc/nl8Pzz3mcnL79ctV/rcMCVV8Lx4/D999CggV8i+kv6jBk03LKF9TfdxMnWrY2Oc0HazZ6Nwns8sqgeUjABan9mJhaPh8Zr1xodxSc8kZH8PHYsmsfjXYTpdBodqWp+fXby5JPeu5DKUMq719mKFd4jmrt29WtEX2u8fj3p33/P7n792DVggNFxLkjUqVO0XLaMvX37Ul6jhtFxQoYUTIAqatqU0w0akBwkw2QApfXrs/r//o+ae/fS+bPPjI5TNZrmfXbSubP3WUplppG/9hp8/LH3aOZrrvF/Rh+KP3KEzPffJ795c9befLOpnhmdTbs5c9B0nSyT7fVmdlIwgUrTOJCZSe0dO4g2075e53CkSxeyL72Ulj/9RPNAPrL4bKKivMNc8fHeZyp/NtQ3Zw488oh3KvKECdWV0CfCy8u5aNIk3DYbyx94AN3k+3RFnD5NqyVL2JeZSVmdOkbHCSlSMAHsQGYmmlI0MdlxyueybfRojqWm0uXjj0nat8/oOFXTsKG3ZI4d8z5bOdtQX06O9xCz9HT47DMw0xG8uk6v994j9uRJlt9/f1AMJ7WdNw+ry0X2pZcaHSXkmOgrP/SU1qtHfosWpt6b7GyUxcKqe+/FHh9P70mTsFXHxpK+1K2bd7js55+9Z8n8dmZZQYH37iYqyvusJibGuJznIe3772m0aRPrb7iBk23aGB3ngtlKS2mzaBEHunenuH59o+OEHCmYAHcgM5Ma+/cTf+SI0VF8yhEfz4oHHiCqsJCeb79trkWY4L1DGTcOpkzxnooJ4HLBVVfBoUPeDSybNDE2YxU12riRjBkz2NOnDzsvvtjoOD6RsmAB4XY7WXL3YggpmAB3sEcPdE0LursYgFMtW7LhlltosGULqd99Z3Scqnv2We8CzL/9DRYsgPvug6VL4YMPvFvwm0h8Xh6Z771HQbNmrLn1VtM/1AcIr6igzfz5HOzcmaLGjY2OE5KkYAKcPSmJE+3bewvGTOfdV9KeAQPY27cvqTNmUH/TJqPjVI3F4t2wMjXVOyz2/vvw6KPew8NMJLyign6TJqGHhbEsCB7q/6r1woVElJeTddllRkcJWVIwJrA/M5O448epsWeP0VF8T9NYf/vtFDVpQubbbxNz/LjRiaomNta7nUyNGt67mRdfNDpR1eg6Pd9/n7hjx/j5vvsor1nT6EQ+YbXbaTtvHkfS0znVrJnRcUKWFIwJHO7WDU94OMlBOEwG4LHZ+HnsWAD6TJqE1WyLMJs2hb17vZtjWq1Gp6mS1FmzaLJhAxuuv57jbdsaHcdnWi9ZQmRJCdtGjTI6SkiTgjEBV3Q0Rzt0oMnq1WhmexheSWV16/LLPfeQdOAAXT76yHzDgZGRpntu0XDzZjK++469vXoF1cFbFqeTdrNnk9euHfmtWhkdJ6RJwZjEgcxMooqKqJOTY3QUvznasSPbrriC5suX0+Knn4yOE9Tijh2j17vvUtikCWtuu8105fhnWi5bRtTp0/LsJQBIwZjE0Y4dcUVFBeVsst/KvuIKjmZk0PnTT4PzmVMACPv1ob7FwrKxY/FERBgdyWcsbjftZ8/mROvWQTXkZ1ZSMCbhsdk41LUrjdeuNd9GkVWgLBZ+uftuKhITvYswi4uNjhRclKLnBx8Qf/QoP997L2W1ahmdyKearVhBTEEB2y67LKjuysxKCsZEDmRmYisvp8GWLUZH8StnXBwrxo4lsriYXm+9FbTPnYzQ/scfabpuHZuuu47j7dsbHcenNI+H1B9+oKBZM/LS0oyOI5CCMZXj7dtjj48PmoPI/kxh8+asv+026mVlkTp9utFxgkL9rVvpMG0a+3r2JHfoUKPj+Fzy6tXEnTghdy8BRArGRJTVyoGePWm4aRNh5eVGx/G7vRddxO7+/Un9/nsabthgdBxTiz1+nN5vv01h48as/stfgu8CrOukzppFYePGHO7Y0eg04gwpGJM5kJmJ1eWi8fr1RkepFhtuuYWCZs3o8c47xB47ZnQcUwqz2+k3aRJYLCx74IGgeqj/qybr1pFw9Kh3zzEz7V4d5ORPwmQKWraktHbtkBgmA9BtNlaMHYuyWunz2mtYHQ6jI5mLUvT48EMSjhzh57vvDs7zUJQibeZMTtevz8Fu3YxOI35DCsZsNI39vXpRNzubyNOnjU5TLcpr12bVvfeScPgwXadMMd8iTCO98grJa9awefRojgXpg+9GmzaRdOgQWZdeipK7l4AS5q8X9ng8/nrpoLNu3boq/fyDcXGk6jrqm29Y16GDf0IFoIqePRm+YgXb77+fw7KI7pxqbNhAxyefZFOrVnxapw5U8evMFJSizzffkB8fz/TwcPRg/D2amNS9CR2vVYujtWrRcft2o6NUq8XdupHdrBmt33uPhCDe0cAXIvPySH3hBUqbNmXqxRcH30P9M9ocPEjT48dZ1KULuty9BBz5EzGpjSkpNMvLo0ZRkdFRqo3SNL4YOhR77dqkPfsstsJCoyMFJIvdTsaECWhKsXXCBJzh4UZH8g+lGLJuHYWxsaxNSTE6jTgLKRiT2nTmONuOO3canKR62SMj2Tp+POElJaS+8AKaDMX+N6Vo969/EbtvH1lPPklFgwZGJ/KbFkeO0OLoURZ37ownzG+j/eICSMGYVGF8PHsbNKBzbm7IPfQubdGC7WPHUmPLFlp89JHRcQJKk2+/pd6SJey57TYKunY1Oo5fDVm3juLoaFYH2Y4EwUQKxsQ2pqRQ79Qp6ufnGx2l2uUNGsShSy4h+ZtvqPPzz0bHCQhJmzbR6oMPON6nD/uvvdboOH7VNC+PNocO8VOnTrjk7iVgScGY2JbWrfFYLHQKsYf9v9p5112cTkmh3SuvEH3okNFxDBV5/Dhpzz9PWePG5Dz8cNA+1P/VkHXrKI2MZGVqqtFRxJ+QgjGxsqgodjRtSscdO9BCbJgMQNlsbH3mGXSbjfSJE7FWVBgdyRAWh4P0CRPQPB62TJiAJzra6Eh+1ejECdrv38/Sjh1x2mxGxxF/QgrG5Da2aUONkhKaHj1qdBRDOGrXZtuTTxJz6BBt//WvkHsehVK0fe014vbsIeuJJ6ho1MjoRH43eN06ym02fk5PNzqKOAcpGJPLatECZ1gYnXbsMDqKYQo7dmT3bbdRb+lSGs+YYXScatX4+++pv3gxe2+5hYLu3Y2O43f1CgrI2LOH5R06YA/CPdWCjRSMyTltNrKbN6fDzp1YQnjK7oFrruFEr160mjyZxG3bjI5TLZK2bKHVe+9xolcv9l13ndFxqsXgdeuwh4ezLCPD6CiiEqRggsDGlBRiKypoffCg0VGMo2lkP/IIFfXqkfb889gKCoxO5FcRJ06Q9vzzVDRsSPYjj4TEDsK1CwvpuGsXK9LTKY+KMjqOqITg/6oMAduTkymPiAjZ2WS/8sTEsHX8eMLKy0l7/nk0t9voSH5hcTjImDABi9PJlokT8cTEGB2pWly8YQNui4Wlct6LaUjBBAGP1cqWVq1I27OHcJfL6DiGKmvWjJwHHyQpK4uWH35odBzfU4qU118nftcush57jPLGjY1OVC1qFBfTdft2fklNpSTIZ8kFEymYILExJYUIl4v2e/caHcVwxwcM4OCoUTT99lvqLl1qdByfajRrFg0WLmTvTTeRn5lpdJxqM3DDBhSwuFMno6OIKpCCCRJ7GzakKDY25IfJfrXrzjspat+etq++SsyBA0bH8YnEbdto/e67nOzRg7033mh0nGqTUFpKj+xs1rRrx+m4OKPjiCqQggkSymJhU5s2pOzfT7TdbnQcw6nwcLY+9RSeqCjvIsyyMqMjXZCIkydJe/ZZKurXJ+vxx0Piof6vBmzciKYUizp3NjqKqKLQ+SoNARvbtCFM10nbtcvoKAHBWasW2556iqgjR2j/yiumXYRpcTpJf/ZZrA6Hd6V+iDzUB4grLyczK4v1KSmcSkgwOo6oIimYIHKkTh1OJCWF9KLL3ytKT2f3mDHUWbGCptOmGR2n6pSizZtvkrB9O9mPPkp506ZGJ6pWF23aRJjHw8IuXYyOIs6DFEww0TQ2tmlDi0OHSCgtNTpNwDh45ZUc79uXllOmkLR5s9FxqqThjz/ScN489t5wAyd79zY6TrWKrqig99atbGrVipNJSUbHEedBCibIbEpJwQJ0kLuY/0/TyHnoIcobNiTthReIOHnS6ESVkpCVRZt33iG/Wzf23nST0XGqXb8tW4h0uVgY5OfaBDMpmCBzMimJg3Xrymyy3/FER7Nl/HgsDgdpzz2HFuDrhWz5+aQ/9xz2OnXIeuIJsFqNjlStIh0O+m7ezJYWLcirWdPoOOI8ScEEoY0pKTQ+cYLap04ZHSWglDdtSs7DD5OYm0vr9983Os4f0pxO0p97Dmt5OVsmTMAdG2t0pGrXZ+tWop1OFsjdi6lJwQShza1bo4M87D+LE337cuCqq2g8cyb1Fi0yOs5ZtXnnHRJzcsh55BHKmjUzOk61szmdXLRpE9nJyRyuU8foOOICSMEEoeLYWHY3bkzH7dtNOzXXn3bfcQeF6em0nTSJ2ADb+aDBnDk0mj2bfddey4m+fY2OY4heWVnE2u1y9xIEpGCC1KaUFOoUFdHo+HGjowQcZbWy7amncMXGkj5xImEBMuMuISeHlDffJL9LF/bceqvRcQwR7nbTf+NGdjRuzP769Y2OIy6QFEyQ2tqyJW6rVYbJ/oAzKYltTz9N5PHjtH/5ZdB1Q/PYCgpInzgRe+3aIflQ/1c9srNJKC+Xu5cgIQUTpCoiI8lNTqbjjh1oBl88A9Xp9u3Zdddd1F69muSvvjIsh+Zykf7cc4SVl7N1wgTc8fGGZTGS1eNh4IYN7K1fn90NGxodR/iAFEwQ29imDQllZbQ4csToKAHr0GWXkTdgAC0+/ZQaGzYYkqH1u++SmJ1NzkMPUdq8uSEZAkHX3FySSkuZ360baJrRcYQPSMEEsZzmzbGHh8uamD+jaeSOHUtZkyakvvgiESdOVOvbN5g3j8Y//MD+0aM5ftFF1fregcSi6wxav56DdeqwvUkTo+MIH5GCCWKu8HC2tWxJ+q5dWIP0dEdf0KOi2Dp+PBa3m/Rnn0VzOqvlfeO3byfljTco6NSJPbffXi3vGag67dhBreJiuXsJMlIwQW5TSgrRDgcpQXImir+UN2pE9mOPkbBjB23eecfv72crLCR94kQcNWuSNW4cKkQf6gNous7g9es5UqsW2SG47ieYScEEuZ2NG1MSFSXDZJVwMjOTfddeS6PZs6k/b57f3kdzu0l77jnCS0rYMn48rhB9qP+rjN27qVtYyIIuXVBy9xJUpGCCnG61sqV1a1L37CGimoZ+zGzvrbdS0LEjKW++Sdzu3X55j1bvv0/Stm3k/O1vlLZs6Zf3MAtNKYasW8expCS2hPhnEYykYELAxpQUwj0eUvfsMTpKwFNWK1lPPokrIYG0iRMJKy726evXX7CAJt9/z4Err+T4gAE+fW0zar93Lw0KCljYpQsqhE7pDBXyJxoC9tevT0F8vAyTVZIrMZGtTz9NZH4+qT5chBm3cycpkyZxqkMHdo8Z45PXNLUzdy/58fFsbNPG6DTCD85ZMJqmRWqatlbTtC2apmVrmjaxOoIJH9I0NrVpQ+sDB4gpLzc6jSkUt23LjrvvptbatTT74osLfr3woiIyJkzw7iAQ4g/1f5Vy8CBNTpxgYZcu6HL3EpQq86fqAAYopTKADsBQTdN6+DWV8LlNKSlYlSJj1y6jo5jGkZEjOTpoEM3//W9qrl173q+jeTykPf884adPs3XCBFyJib4LaVZKMWTtWgpjY1nXtq3RaQLe9xUVvGG3Gx2jys5ZMMrr190Aw8/8kC16TSavVi3yatak38aNxFRUGB3HHDSN7fffT2mzZqQ/+ywtpkyp8saY0QcO0OnRR6mxZQu5Y8dS0qqVn8KaiFL02bqV5nl5LO7cGY/czf2pOrpON48Hj9FBzkOl7ks1TbNqmrYZOAEsVEqtOcvPuVPTtPWapq3XZe+rgDR9wAASS0oYM2OGzCirJD0ykk0vvMCJXr1o9tVXZN58M02mTcNyjs/P4nDQ4uOP6XHXXcTu20fOQw9xbNCgakoduOoUFnLPjBlctWwZOU2bsio11ehIgU0p3nU4CAPes9mMTlNllSoYpZRHKdUBaAR00zTtf74qlFKTlVJdlFJdLDKeGpD2NWrEpyNG0PDECW6bNUtW91eSs1Ytsp94gtXvvktxSgqtJ08m89ZbaTBvHprnf7+vrLFuHT3GjKHZl19yrH9/Vk2ZwtGhQw1IHjjC3W6GrV7NY198QaMTJ/imf38mX3KJ3L2cw19dLgZ7PDwZEcEOE15Xw6ryk5VSRZqmLQGGAln+iST8KadFC74ePJjr58/nxrlz+WzECJkeWkmlLVuy+cUXSdqyhZYffki7V1+lybRp7Ln9dk5mZmIrKKD1e+9Rb9kyyho3ZsM//0lhhw5GxzZcyv79XL10KbWKi1nXpg0z+/ShJDra6FgBr63Hw/NOJ3OtVj4Mq9KlOmCcM7WmabUB15lyiQIGAS/7PZnwm/Xt2hFttzNq2TKuXryYby6+WPZ/qoLCjAzWvfEGtVesoOXHH5MxYQLFrVoRfeQImsvFnltvZf/VV6NMOKThSwmlpVy+fDkdd+/meFISb11+ObsaNzY6lilEKMVHDgenNY27IyJM+/ezMrVYH/hU0zQr3iG1b5RSP/o3lvC35Z06EW23M3jNGsojI/mxTx+jI5mLpnGyTx/yMzOpP38+TadNoyg1lR13301FiJ9lYtF1+mzdyvBffsGi6/zYsyc/deyIx6TfhRthgtNJqq5zeWQk+SYeYTjnn7hSaivQsRqyiGo2r2dPYioqGLB+PWWRkSyRUwSrTFmtHB0+nKPDhxsdJSA0PXaM0T/9RKP8fHKaNmX6RRdRkJBgdCxTudjt5l6Xi3fCw1lk8lI2d3pxYTSN7/r3J9pu55IVKyiPimKNzOoR5yHKbmfkL7+QuW0bxTExfDR8OFtatDDt0I5RainFew4H2RYLzwTBEKsUTIhTFgtfDh1KpNPJ1YsWUR4RwTZZqyEqSym6bN/OqBUriLbbWdahA3N79MARBBfHaqcUb9vtJCjFpZGROIKgnKVgBB6rlU9HjuSv337LTXPn8oHNxq6mTY2OJQJcnVOnGL1kCa2OHGFfvXpMGzWKI7VrGx3LtG53uxnu8fCozUZOkEzfNu/TI+FTzvBwpowaxcnERG7/4QeaHDtmdCQRoMJdLkasWsVjX35Jg/x8vhowgNevvlrK5QK00XX+7nCw0GrlvfBwo+P4jBSM+I/yyEjeu+IKSqOiuGPGDFoeOgRKdgUS/1+7/ft5/IsvGLx+PRtbt+bFm27il9RUOSjsAtiUYordTjnwfxERQfVZyhCZ+C8lsbG8d+WV3D19OndPn86++vVZ3LUruc2bB9UXvqiahJISrly+nIw9eziWlMQbV1zBnkaNjI4VFJ52OsnQda6JjOS4iackn40UjPgfBYmJvHTrrXTNzqb/+vXcMWsWeTVr8lPXrmxq3Ro9SMaHxblZdJ2+mzczbM0aLLrODz17sqRTJ9nixUf6ud2Mdbn4ICyMOSafknw2wfc7Ej7hCgtjVUYGq9PS6LBjBwPXreOGefMYtmoVSzt3Zk379riCaKxY/K/kvDyuXrKERvn5ZCcnM71fP07JmhafqaEUkx0Odmga4yIijI7jF1Iw4k/pFgsb27ZlU0oKbfftY+DatVyxZAmDVq/m544dWZGRgT0y0uiYwoei7XYuWbmSzOxsCmNjmTJiBFubN5c1Lb6kFG/a7dRSiqujoqgI0s9WCkZUitI0cpo3J6d5c5odPszF69YxfNUqBqxfz6q0NJZ16kRJbKzRMcWFUIqu27cz6uefiXI4+KljR+Z2745T1rT43M1uN5d6PIyz2dgaxMONUjCiyvY1asQHjRrR4ORJBqxbx0UbN9J382bWtWvHki5dyJcTG02nbkEBo5csoeXRo+yrV49vBgzgaK1aRscKSi11nX84HCy1WnkzyIeZpWDEeTtauzafDx/O3MxM+q9fT7ecHLpnZbGlVSsWd+3K0Tp1jI4oziHc5WLI2rUM2LQJu83G1AEDWNO+vcwY9JMwpfjQbscB3BlkU5LPRgpGXLCCxESmX3wx83v0oN+mTWRu3UrHnTvJTU5mcdeu7G3YUMbvA1D7ffu4culSapaUsKZtW2b26kWZnNPiV086nXTWdW6IjCQvyKYkn03IFMwwh4N6us7HUVFGRwlaJbGx/NinD4u6dqXX1q303biRe6dNk7U0ASappIQrli0jfe9e8mrU4PUrr/R+EyD8qpfHw0MuF5+GhTErCKckn01o/C6Bqx0OBjudrA4PJzdE/nCNYo+MZHG3bizv1IluWVn037BB1tIEAIvHQ78tWxi2Zg2aUszKzGRpx46ypqUaJCjFB3Y7ezWNx4J0SvLZhMyV9pHYWLoXFvJOSQmDExNxyXfSfucKC2Nlhw78kpZGx507GSBraQzT7OhRRi9ZQoOCArY1a8a3/fpRGB9vdKzQoBSTHA7qKcXFUVGUhdC1J2QKpsBi4W+xsXxeUsLD5eX8PSbG6EghQ7da2dC2LRtlLU21Cy8u5tpFi+iZk0NhbCwfjBhBVosWRscKKde53VzldjPBZmNjiN0thkzBAMyPiGCq08kDFRUssNnYIN89V6v/rKVp1oxmR47IWhp/0nXqL1hAqw8+wFpayqLOnZnfrRtO+ZqvVs10nVcdDlZYLLwWgp99SBUMwLiYGHq7XLxVWsqAxMSgXUEb0DRN1tL4Ucy+faS88QZJWVkUpqbyfkYGeTVrGh0r5FjPTEn2AGMiI9FD8FoTcgVTYrFwf2wsM4qLebqsjCflO2ZDyVoa37FUVND8889p8u23uGNiyHnoIY4OHkze7NlGRwtJjzqddNN1bomI4HAITEk+m5ArGIAVNhuTIyO5025nrs3Gz7IVhuFkLc2Fqb1qFa3ffpuoEyc4MnQou8eMwSUP8Q3T3ePhMZeLL8PC+C4Eh8Z+FZIFA/B8TAwDXC7eKC2lb2IiJSH6HUagqcxaGvH/RR4/Tpu336b2L79QmpzMutde43RqqtGxQlrcmaGxg5rGwyE0JflsQrZgKjSNe2JjmXP6NC+UlXF/XJzRkcRv/NlamoKICI5fdBEqhNczaW43TaZPp/kXXwCwa8wYDl5xRUh/JoHiFYeDRkoxJCqKkhC/6w7pr8aN4eG8HhXF3yoqmG2zMT/Ev9sIRGdbS5P68su0+OQTDlx1FUeHDkUPsSnOidu2kfLGG8Tu38+JXr3YcffdOORZVUC4yuXierebF2w21obYlOSz0ZQfzlwPDw9XiSaZBRSuFPOLiqir6/RNSqLAgKGym266qdrf06w0pbipZk2Sp04lMScHZ2IiB0eN4vBll+EO8gkb4UVFtPrgAxosWEBF3brsuOce8nv2POev++GHH6ohXXD56KOPqvxrGus6q8rL2WGxMCQqCk+I3L2Ul5fj8XjO+psN6TsYAJemcU9cHAuLiniltJTb4uLkYXIAU5pGfo8e5HfvTmJWFslTp9Lyk09I/uYbDo8cycErrsAZbFNydZ0G8+bR8sMPCSsvZ9+117Lv+uvRZV+9gGE5sxWMBfhLZGTIlMu5hHzBAOSGhfFydDTPlJdzlcPB9BAbcjElTaMoLY3NaWnE7tlD8ldf0XT6dJrMmMHRwYM5cPXVVATBBo6xe/eS8vrrJObkUJiWxvb776csOdnoWOJ3/uZy0UvXuSMiggMyYeg/pGDOeDsqiqFOJy+VlbEyPJw8GT81jdIWLcgaN449t91G02++ocGCBTScO5fjffuy/5prKG3Z0uiIVWatqKD5Z5/R+LvvcMfFkf3II+QNGiR31wGos8fDOKeTb8LC+FomWfwX+TTO0DWNe+PiWFJYyOulpYyOj5e/zCZT0aAB28eOZe9NN9Hku+9o9OOP1Fu6lPyuXdl/7bUUpaUF/p+pUtReuZI277xD5MmTHB4+nD1/+YusaQlQMUoxxW7nqKbxt4iIwP/6qmZSML+xz2plQkwM/ywr41a7nU9kjNuUnDVrsnvMGPZfdx2NZs2iyYwZdHnoIYratWP/tdeS3707BOAwRmRenndNy5o1lDRvzrZx4zjdvr3RscSf+IfDQbJSDI+K4rSUy/+QgvmdTyIjGe50MqGsjGU2G/tkqMy03LGx7L/+eg5eeSUN5s2j6bRpdHjmGUqTk9l/zTUBs5ZGc7loOn06zb74AqVp7PzrXzl0+eUo+doLaJe53dzsdvOP8HBWyZ/VWQXet3FG0zQeiI3FrWm8WVKCxQ/TuEX10iMiOHzZZaz65BOyHnsMgNSXXybz1ltp9P33WOx2w7IlbtlC97vuouVHH1HQtSu/TJnCwauuknIJcA10nTfsdtZbLPxdtpr6Q35bB1PT5FNFr6yo4O3iYp6LjeVtP58d43Q6/fr6wSbsAu86NKW42OnkgfJyurndnNQ0PoiK4qOoKIqraeislq4zvrSUaxwODlgsPB4by2I/LfS1SllVmdvt/sP/pynFt8XFdHK5GJCUxN4Q/3yLiopwuVxnHR+UO5g/8G1kJD9GRPBoaSkpLpfRcYQPKU1jYUQEIxMTuSQhgS3h4TxZXs6mU6d4prSUOh6P395bU4qbKipYeeoUlzscvBYdTd8aNfxWLsL37qmooI/LxZOxsSFfLucidzB/oqaus7SggOMWC8Nq1PDbMctyB1M1F3oHczbt3W7uKy/nMocDN/B1ZCRvR0f79BlcqtvNP0pK6OJ2syI8nMdiY9lVDc+A5A6m6v7oDibd7WZuURHzbTZul0XZwJ/fwUjBnMMQu51PT5/mtZgYXvbTViRSMFXjj4L5VbLHwz3l5VxrtxMGzIqI4M3oaLIu4D1jdJ3HyssZU1HBKU1jQmws06pxSqsUTNWdrWCilWJRURExStEvMZGiAJyJaAQZIrsA8yMj+ToykvvLyugoQ2VBb7/VyiNxcXSuUYN3oqK42Onkp8JCphYV0cPphKp8Q6YUIx0OVhYWcmdFBZ9HRpJZowbTIiPlO18TmlhWRguPh7tjY6VcKknuYCohTtdZUlCAXdMYVLOmz49ZljuYqvHnHczvxes6t1VUcGdFBbWVYl1YGK9HR7PQZkP9yddBU4+Hv5eWcrHTybawMB6JjWWjQQdPyR1M1f3+Dmaow8G/S0p4IyqK5/w86cdsZIjMB3o5nXxbWMgHUVE87eNV1VIwVVOdBfOrSKW43m7n7vJymug6uVYrb0ZH831EBO7fFI1NKe4pL2dseTkeTeOl6GimGLyzrhRM1f22YOrqOssKCzlssTAsMdFvz2LNSobIfGClzcaHUVGMqaiglxRCyLFrGh9FRdGjRg3uPnM43TslJaw+dYrbKyqIUopeTidLCgt5orychTYbmUlJTI6Olp11TUxTijdLSohSirvi4qRcqkjuYKogSikWFhQQqRT9a9b02THLcgdTNUbcwfze79fSnNY0EpRiv8XCY3FxLAmgxXdyB1N1v97B/LWigufLyngoJobPZOuos5IhMh/q5HTyQ2Eh30RG8mBCgk9eUwqmagKhYP5DKbq7XNxmt7PnzLCZPcC+y5WCqTq32007t5sFRUX8ZLNxs0xJ/kNSMD72eGkpY8vKuDkhgQU+ODtGCqZqAqpgTEAKpurCXC4WFhWRpOv0M+ikW7OQZzA+9mpMDFlhYbxaUkJNXTc6jhDCx8aXlZHi8XBfXJyUywWQT+48uDSN++LjSdB1Xi4urtraCCFEQBvgcHCH3c57kZEB9SzNjKRgzlNueDj/iI1lpMPBFQbuxiuE8J1aHg+TTp8my2rleVnvcsGkYC7AO9HRrA0P58WSEur5cYNEIUQ1UIrXiouJ1XXuiovDIQ/1L5gUzAXQNY374+OxKcW/ZKhMCFO7tbycix0OnouLY4dMJPEJKZgLtD8sjGfj4hjgdHJzRYXRcYQQ56G1y8UzJSUsiojg4+hoo+MEDSkYH/gkKoqlNhvjS0tp+icHFQkhAo9NKd45fZoyi4UH4+NlvYsPScH4gqbxYHw8buCN4mI5ZlkIE3mipIT2bjdj4+PJlzVDPiUF4yN5Vivj4uLo7nLxf+XlRscRQlRCP4eDu8rL+Sg6msU+WDQt/psUjA9Nj4xkthyzLIQp1NB1Xj99mp1WK8+d2cBU+JYUjC9pGo/Gx1OiabxZXEy4DJUJEZiU4tXTp0nUde5OTAy4/eOChRSMjxVYLDwUH0+a282DZWVGxxFCnMWNFRUMdTj4e1wc2QYdBBcKpGD8QI5ZFiJwtXS7eba4mGU2G5NlSrJfScH4yVNxcRyzWHjj9GkiZahMiIAQrhRvFxVRoWk8kJDwp8deiwsnBeMnJRYLY+PjaeXx8GRpqdFxhBDAI6WlpLvdPJSQwHGZkux3UjB+tCIigilRUdxZXi7HLAthsEyHg3vKyvh3VBTzZEpytZADx/wsSikWFRQQ8SfHLMuBY1UjB45VjRw4Bom6zuL8fMo1jcE1a1JxjjNe3LIjR6XJgWMGqjhzdkx9XefZkhKj4wgRepTin6dPU1vXuScx8ZzlInxHPulqsNFm463oaK6z2xnkcBgdR4iQck1FBSMdDl6OjWWrTEmuVlIw1eSV2FjvMcvFxdSQY5aFqBbJbjcvlJSw0mbjXTlArNpJwVSTX49ZTpRjloWoFmFK8fbp07iA+xMS0GVKcrWTgqlGvx6zfInDweVyzLIQfvW30lI6uVw8kpDAUZnoYAgpmGr2TnQ068LD+bscsyyE33R3Orm/rIypUVH8KFOSDSMFU83kmGUh/Cte13mrqIiDVitPyy7Jhqp0wWiaZtU0bZOmaT/6M1Ao2BcWxnNnjlm+SY5ZFsKn/l5cTD1d556EBMpkSrKhqvLpPwDk+itIqPkkKoplNhsTSktJlqEyIXziyooKrrDbeTU2lk02m9FxQl6lCkbTtEbACOBD/8YJHerMMcslmkaaFIwQPtHB5WJNeDhvyJTkgFDZPTcmAY8CfzigqWnancCdABa5La2Uo1YrPWrVoli29BfCJ56OjydKKZmSHCDO2QSapo0ETiilNvzZz1NKTVZKdVFKdZGCqTw5SU8I36qQv1MBozJN0Au4VNO0/cBXwABN0z73ayohhBCmd86CUUo9oZRqpJRKBq4FflJK3ej3ZEIIIUxNxrKEEEL4RZUO1lBKLQWW+iWJEEKIoCJ3MEIIIfxCCkYIIYRfSMEIIYTwCykYIYQQfiEFI4QQwi+kYIQQQviFFIwQQgi/kIIRQgjhF1IwQggh/EIKRgghhF9IwQghhPALKRghhBB+IQUjhBDCL6RghBBC+IUUjBBCCL+QghFCCOEXUjBCCCH8QgpGCCGEX0jBCCGE8AspGCGEEH4hBSOEEMIvpGCEEEL4hRSMEEIIv5CCEUII4RdSMEIIIfxCCkYIIYRfSMEIIYTwCykYIYQQfiEFI4QQwi+kYIQQQviFFIwQQgi/kIIRQgjhF5pSyvcvqmkngQM+f+ELVwvINzqEicjnVTXyeVWNfF5VE6ifV1OlVO2z/Q+/FEyg0jRtvVKqi9E5zEI+r6qRz6tq5POqGjN+XjJEJoQQwi+kYIQQQvhFqBXMZKMDmIx8XlUjn1fVyOdVNab7vELqGYwQQojqE2p3MEIIIaqJFIwQQgi/CImC0TRtqKZpOzRN261p2uNG5wl0mqZ9pGnaCU3TsozOEug0TWusadoSTdNyNE3L1jTtAaMzBTpN0yI1TVuradqWM5/ZRKMzBTpN06yapm3SNO1Ho7NURdAXjKZpVuBtYBjQDrhO07R2xqYKeJ8AQ40OYRJu4CGlVDugB3CPfH2dkwMYoJTKADoAQzVN62FspID3AJBrdIiqCvqCAboBu5VSe5VSTuAr4DKDMwU0pdRy4JTROcxAKZWnlNp45p9L8F4EGhqbKrApr9Iz/xp+5ofMNvoDmqY1AkYAHxqdpapCoWAaAod+8++HkQuA8ANN05KBjsAag6MEvDNDPpuBE8BCpZR8Zn9sEvAooBuco8pCoWCE8DtN02KBb4GxSqlio/MEOqWURynVAWgEdNM0LdXgSAFJ07SRwAml1Aajs5yPUCiYI0Dj3/x7ozP/TQif0DQtHG+5fKGU+s7oPGailCoCliDP/P5IL+BSTdP24x3eH6Bp2ufGRqq8UCiYdUArTdOaaZpmA64FZhmcSQQJTdM0YAqQq5T6l9F5zEDTtNqapiWe+ecoYBCw3dBQAUop9YRSqpFSKhnvtesnpdSNBseqtKAvGKWUG7gXmI/3Aew3SqlsY1MFNk3TpgK/AG00TTusadpfjM4UwHoBN+H9znLzmR/DjQ4V4OoDSzRN24r3G8CFSilTTb8VlSNbxQghhPCLoL+DEUIIYQwpGCGEEH4hBSOEEMIvpGCEEEL4hRSMEEIIv5CCEUII4RdSMEIIIfzi/wGV/32wP3gmGwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_1r = img[:,:,0].copy()\n", + "str_1r = str_1r[283:288,890:895] \n", + "plt.imshow(str_1r, cmap ='Reds')\n", + "plt.show()\n", + "\n", + "p0 = [70, 1.2, 11, 1, 1, 0, 0]\n", + "determinar(str_1r,p0,FWHM_xir,FWHM_yir, incer = str_1r.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 2" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[192.45744813 0.97887011 1.08961655 2.35993751 2.25608062\n", + " -6.34642439 84.92551405]\n", + "2.3050629462193077 2.5658509037264716\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_2r = img[:,:,0].copy()\n", + "str_2r = str_2r[252:257,949:955]\n", + "plt.imshow(str_2r, cmap='Reds')\n", + "plt.show()\n", + "\n", + "p0 = [24, 1.3, 2.5, 4, 1, 0, 0]\n", + "determinar(str_2r,p0,FWHM_xir,FWHM_yir, incer = str_2r.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 3" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[141.9874119 2.34167953 2.19328524 8.28237019 6.86111281\n", + " 20.41751836 114.33748466]\n", + "5.514233897956943 5.16479203779562\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_3r = img[:,:,0].copy()\n", + "str_3r = str_3r[309:324,619:636]\n", + "plt.imshow(str_3r, cmap='Reds')\n", + "plt.show()\n", + "\n", + "p0 = [11, 15, 9, 4, 1, 0, 0]\n", + "determinar(str_3r,p0,FWHM_xir,FWHM_yir, incer = str_3r.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 4" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[179.47671572 0.73445207 0.9714805 1.95111908 2.27151171\n", + " 3.04648514 93.82977231]\n", + "1.729502460722425 2.287661764280814\n" + ] + }, + { + "data": { + "image/png": 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dSZykqIIChk2fTvLu3ezs04c1EyZQe7IH7ZRi28CBHO7ShWHTpzPq9dfZNmAA68eNwy3nKizr2fBwkj0e7qusJMtmY/oRa3FCJwXGR1pkZTH8pZeoio5m8X33/c/Cr7CWzt98w8BZswBYNnkyu8491yePW5SUxOzf/Y5z58/n7OXLab1zJ8unTCGvXTufPL5oZkrxcFQUiV4vT5eXk2O3s0jeMPwPmSLzgYjCQr2/mM0m/cUszFVVxbDp07no3XcpbN2ajx991GfFpYHX4WDD5Zcz9557cNbWMu6ZZzh76VKU7EiyJI9S3BoTw/cOB6+VlHBuba3RkUxFCswpCikrY+Tzz+OqrmbxvfdKfzGLSsrM5KqnnyZt0ya+GT2az++7jzI/3s9+uEsXZj3+OHt69uT8uXO59N//JrKw0G+fT/hPlVJMatGCg3Y775WU0EUOYv5CCswp+KW/WH4+S++6i0KZ6rAc5fHQZ8ECLn/+eTTgs/vvZ+OoUc2yOaMmPJylU6ey4vrraXngABOeeoq0jRv9/nmF7xXabFzdogV1SjGzuJgkj8foSKYgazAnyeZ26/3F9u5l+R13SH8xC4rOz2fY9Okk7dnDjvPOY+348dQ1d8dcpfj5vPPI6tSJYdOnc/G0abT/8UfWnsqmAmGI/XY7V8fEMLe4mJnFxVwaG0tZkF8kKAXmJCivl0HvvEObn35i9Q03SH8xq9E0unzzDQM//hhNKZZOmUJG796GRipNSOCz+++n15Il9F60iOTMTJZPnkx2WpqhuUTT/Oh0MiUmhg+Li3m3pISJLVpQG8Tn4IK7vJ4MTaPvRx/R6dtv+eaKK6S/mMW4KisZNn06w957j/yUFGY9+qjhxaWBZrezcdQoPnvgATSbjctfeIFz583DJtMtlrLG5eLe6Gj619XxUmkpKogPYsoIponOnjePM9LT2XLxxWwZMcLoOKIJkjIyGPbuu0QWF/P1mDF8d/HFaCacwsjp2JGPH32UAZ98Qu/Fi2m7fTvLb7iBEtlAYhmzQ0NJ8nj4Y0UF2eXl/CkqyuhIhjDf3y4T+5/+YldeaXQc0Ug2j4dz583j8hdeQLPZmPPAA2waMcKUxaVBXWgo6dddx+IbbyQmL4+rnn6a07/8UtqSWMjL4eG8GRbGbVVV3FZZaXQcQ8gIppE6fvut9BezoOi8PH0hf+9etvfty7rx46kLDTU6VqPtPucccjp2ZOh77zFkxgza//gj6ddcIxeaWYFS/DEyklZeL0+Wl5Njs/GZhX72fMG8b+FMJGXbNga//bb0F7MSTaPrhg1c9fTTtMjJYcnUqaRfd52likuDithYvrj7btaPHUv7bduY+NRTtNm+3ehYohG8SnFXdDRfOp28WFrKBUF2EFMKzAm03LNH+otZTEhlJRdNm8bQ998nr21bPn7sMTJ79TI61qmx2fhh2DA+/d3vqAkL49L//EcuNLOIGqW4ISaG3XY700pK6BZE37MTFhil1DtKqVyl1I/NEchMWmRlMfzFF/X+YvfeK/3FLKD1rl1c9dRTpH7/PRsuvZQv7r2X8rg4o2P5TEHbtnzy8MNsGTSInitXcuU//0mcXGhmeiU2GxNbtKBUKWaWlNA2SHYGNmYEMx0Iuu1SEYWFjHjhhf/2F6u/LlWYk83j4bwvvuCyf/8bj8PBZ7/7Hd8NH27qhfyT5XG5WHfVVcy//XbCysq48h//4Kz0dJB+ZqaWZbdzTYsWhGoaM4uLiQ2C79cJ//ZpmrYGCKomSSHl5Yx44QVcVVXSX8wCovPyGPvss/RasoQdffvy8SOPkNu+vdGx/G7/EReaDfj0Uy555RXCSkuNjiWOY4fDweSYGNp5PLxXUkJogO8K9NnbO6XULUqpjUqpjWVlZb56WEN0W7mSmOxslt55p/QXM7no3FzGPvccMXl5LL7xRtInTcJtwYX8k/XLhWYTJ5KckcHoV1/FJs0WTW2Dy8U90dGcW1fHZdXVRsfxK58VGE3T3tA0rbemab2jLH6oKCYnh/L4eLK7djU6ijiOiKIiLn3pJWweD5898AC7zznH6EjGUIptF1zA8htuIHH/fvp+8YXRicQJzA8JwQu0C/C1mMCboPaB6Lw8ylq2NDqGOI6wsjIufeklQiormX/XXRQlJxsdyXB7evZk68CB9FyxgnY/Bt2eHEtxK0WuzUbrAF+HkQJzFFF5eZRKgTGtkMpKxrz0EpGFhSy4/Xa5EfIIX44bR35KCkPff5/w4mKj44jjyLLZSA72AqOUmgl8BXRVSh1USt3o/1jGcVZVEVZeLiMYkwrzeBj9yivE5uSw+NZbpdvwr3icTpZOnYqjtpZh774rN2Wa2GG7neRgnyLTNO1qTdOSNU1zaprWRtO0t5sjmFGi8vIAZARjQi6vl+f37CFx3z6WTpnCgdNPNzqSKRUnJbHmqqtos3Mn5yxZYnQccQwygglC0fn5ADKCMRmHpvH3vXs5r7yc9EmT2CN38BzXz337srNPH/osWMAZchWzKR222YjRNCICuMhIgfmVX0YwfryPXTSN0jSe3L+fIaWlPJ2Sws/nnWd0JPNTitUTJ1KakMBDP/xAZJD1wLKCrPqehoE8ipEC8yvReXlUR0ZSJ21hzEHTePTgQUYVFfFicjIfy8iy0epCQ1k2dSotamq4f+tWafVvMofru0wE8k4yKTC/EpWXJ6MXs9A07s3KYnxBAW8nJjKtVSujE1lOXrt2vNO1K+fn5nLJ/v1GxxFH+GUEE8AL/VJgfiVKzsCYxo05OdyQm8tHCQn8R865nLS5HTrwdcuW3Lx9O6nSSsY0smUEE1yUx0NUYaEUGBO4Oi+Pu7KzmRcbyz9TUuSCt1OhFM+fdRYlLhePbN5MqLSSMYUapchXSkYwwSKisBCbxyNblA12aUEBDx06xIqYGJ5s1w5NisspK3W5+GePHiRXVHD7Tz8ZHUfUO2y3ywgmWETX7yCTEYxxhhUX88cDB/gyKopH27fHI8XFZ36Mj+ejtDQuOnSICw8dMjqOIPDPwkiBOUJU/RkYGcEYo39pKU/t28cPERE82KEDdQF4l4vRZnbqxNbYWO7cto2Uigqj4wS9QD/NL3+DjxCdm4vH4aBSLhdrdr3Ky/nXnj3sCg3l3tRUqut32Ajf8tps/LNHD+psNh7evBlHAL+4WUGWzUa8pgXsvTBSYI4QlZ9PWUJCQN6CaGbdKit5YfduDrtc3NmpE+VSXPyqICyM5848k7TSUqb+/LPRcYJaw1mYpAAt9PJKeoTovDzK5AxMs+pUVcXLmZkUOxzc1qkTxQ6H0ZGCwjetWvF5+/Zcvm8f5+XkGB0naDWchQnUhX4pMA00jWhp09+s2tbU8GpmJrU2G7d16kSey2V0pKDyTteuZERHc//WrcRXVRkdJyg1jGACdaFfCky9kIoKXFVVsoOsmSTW1vJaRgYOTeP2Tp04FBJidKSg47bb+XvPnji8Xh7+4QdsAfoiZ2bZDSMYmSILbNKmv/nE1tXxWmYmUR4Pd3TqxO7QUKMjBa3DERG8fMYZdC8q4urMTKPjBJ1KpShSSkYwgU7OwDSPKLebVzMzSaqt5Z7UVHZIU1HDpaeksCwlhYkZGZxZUGB0nKCTZbPJCCbQNYxgZJHff8I8Hl7avZuONTU80LEjmyMjjY4k6r3arRtZERH8/ocfiJbW/s3qsN0uI5hAF52XR2VMDG5ZC/CLhtsoz6is5JH27dkQHW10JJ9yVVXhqK42OsZJq3Y4+HvPnsTU1vLAli3S2r8ZZdlssoss0DWcgRG+d+RtlH9u1470ADvIeuaqVdz0u99xy4MPEmXhKabd0dG8efrpnJuXx2V79xodJ2gctttJ9HpxBmBRlwJTT7Yo+8eRt1E+1aYNC+LijI7kU93WruWCTz6hKDGROpeLS15+mRALt2CZ364dXyUmMvXnn0krKTE6TlDIajhsGYCjGCkwgK2ujoiiIlng9zVN47EjbqP8JMBGiKd99RWDP/qIvd27M+vxx5l/xx1EFxQw6rXXsFt1HUMpnj/zTIpCQnhk82bC6uqMThTwfjkLE4AL/VJggKiCApSmyQjGl+pvo7wyQG+j7PLNNwyZMYP9p5/OkptuwutwkNW5M8snTyZpzx4umj4dZdF3pOX1rf1bVVZy17Ztsh7jZ4F8ml8KDEfsIJMC4zOBfBtlp02buPC99zjUuTOLb7kFj9P5y//LPOcc1l9xBak//MCATz6x7IvzT3FxzOjcmSFZWQyT1v5+Fcin+aXxE/89AyMjGN8I5NsoO/7wAxdNn052aioLb7sN91Ha22wZMoSIoiLOXrGC8thYvr/4YgOSnrqPO3WiR0EBd/z0EztatOCgbCv3i3KbjTKlAvIsjIxg0EcwdS4XVQG2ddYIgXwbZfsff+Tit98mt317Ftxxx3G3tH91+eXs6tWL8+fOpfM33zRjSt/xKsUzPXpQY7PxyObNOAPwBdAsDgfoxWNSYKjvotyyZUC90zZCIN9G2Xb7dka8+SYFKSnMv+MO6k7U3sZmY8V113GwSxcu/OAD2uzY0TxBfawwNJRnzzqL1LIybrLo12AFgXqaXwoMcgbGFwL5NsqUn39m5OuvU9SqFfPuuovaRra38TqdLL75ZopbtWLEm28Sf+CAn5P6x8bEROZ06MCY/fs5Pzvb6DgBKStAT/MHzqvAydI0ouQMzCkJ5NsokzMyGPXaa5QkJPDF3XdTExHRpD9fGx7O/DvuoDY0lEtefZVIix7EnN61K7uio7lv61YSpbW/zx222Wjl9WK36KaQYwn6AhNWWoqztlZ2kJ2khtsoD4WEBNxtlK327GH0K69QHhvLF/fcQ3VU1Ek9TkVsLPPuvBN7bS1jLHoQ022z8feePbFrGg9t3iyt/X0sy27HDiQG2PMa9AVGdpCdvCNvo7w9wG6jbLlvH5e8/DKV0dHMveeeU94AUtS6NYtvvZXoggJGvv46dgseYMyKiOCl7t3pVlzMpIwMo+MElIatyoF2FiboC4ycgTk5v7mN8oizIFYXf+AAY/7zH2rCw/ni3nup9FHvtMOdO7P8+utpnZnJMIsexFzdujVL2rThqsxMeuTnGx0nYDQctgy00/xBX2Ci8/LQlKIsPt7oKJYRyLdRxh0+zKX/+Q91ISHMveceymNjffr4mb16se6KK+i0eTP9P/3UkgcxXzv9dA5GRPD7LVuIqakxOk5ACNQRjF/mNKqrq9lhkS2NPTMzKY6M5CcDb/O7/PLLDfvcTRVeXs6UadOItNl4d8oUzmrdmrOaOcMdd9zhnwfesQMGDYKoKFizhuvS0vzzee64Ax58kLOee46zRo+G3//eP5+nXk5Ojs8fc35qKje/9RZ/2bePGddcE1DnnQDS09Ob9fOVahqVQHxVFaVud7N+7lPlOc6oK+hHMPHFxRQEWPt4fwmtquK6998nurSUD6+9luzWrY2O5DsZGXDhhfpZqJUrwV/FpcEzz8CECfDQQ/Dhh/79XH6Q06oVS4YPp3NmJudv2GB0HOtTikNKkWLBEe3xSIEpKaEgJsboGKbnrKnhmhkzSMjPZ9aECRxo187oSL6zZ49eXOrqYPlyOO00/39Omw3efRcGD4YbboAVK/z/OX3s2169+Om00xi2YgWtpV/ZKZMCE2BcdXVEV1TICOYE7HV1TPzoI1IOHWL2lVey29/v7pvT/v16cSkv14tL9+7N97lDQuCzz6BrVxg3Dn74ofk+ty8oxdwxYyiLimL8nDmEWPhGTzM4BFJgAklc/YVKhTKCOSabx8OVn35K6p49zL38cnacfrrRkXzn8GG9uBQWwtKl0KNH82do0QIWLYLoaBg1Si94FlIdFsan48YRU1zMmAULLLlpwSwOKUVr9Ev6AkVQF5j44mIAGcEci9fLZZ9/zmk//8yCUaPYYsQLsL/k5OjFJScHliyB3r2Ny9KmjV5kKipgxAi94FnIgbZtSR8yhDO3beOczZuNjmNZh5TCCSQaHcSHgrrANIxgZA3mKDSN0QsWcNbWrSwfNoyN555rdCLfycuDoUPhwAH9hb1vX6MT6VNzn38OmZlw+eVgsemmdf37k9mxIyMXLaJl/dky0TSH6nfiBdI0WVAXmITiYqpcLipP1Bk3CA1bvpzemzaxdsAA1g8YYHQc3ykshIsu0l/I588HM31tgwfDe+/B2rVw3XVgoUN3mlLMGTuW2pAQxs+ejcOCnQqMJgUmwMSVlOjTYwG2h/9Upe3aRf/16/m2d29WDh1qdBzfKS6Giy+G7dth7lwYMsToRL81YQI8+yx8+ik88ICl1jTKIyOZc9lltMrNZcTSpUbHsRwpMAEmvrhYFvh/xVlby+j588lLSGDJiBGBU3zLymDkSNiyBebM0QuNWT3wANx/P7z4ol5sLCQzLY11/frRZ9Mmuv30k9FxLCUfqEEKTEBQXi9xpaWywP8rg9PTaVFSwrwxY/AESvPKigp9h9bGjfDxxzB6tNGJTuxf/4KrrtJP+c+caXSaJlkxZAgHUlK4dN48WtRvpBEnpinF4QA7CxO0BSa6vByHxyML/EdIPnyYvhs2sLFXLw60b290HN+orIQxY+DLL/UT81Zpy9NwEHPQIJg8We8uYBFeu51Px41DAVfOno3NQmtJRgu0szBBW2ASGnaQyQgGAOXxMOaLL6iIiGD5sGFGx/GN6moYOxZWrdIXz8ePNzpR04SG6jvLunTRv44tW4xO1GjFsbHMHTOGtocOceGqVUbHsYxDSpFidAgfCtoCE9dwBkZGMAD0/fprkrOzWTRqFDVhYUbHOXW1tXDllfoByrffhmuvNTrRyWk4iBkVpa8hWegg5k/durHxnHO4YP16OhnYTNZKfmkXEyCjmKAtMPElJXiUovgUL5IKBC2Kihicns6Orl3ZHggn9evq9N1YCxbAa6/BlClGJzo1bdvqRaa8XC8yRUVGJ2q0xcOHk9OyJeM+/5zI8nKj45jeIaUIBQLl8pDgLTDFxRRFR+O1Be1ToNM0Rs+fj6YUi0aNsv6uMbcbJk3Sp5ZefBFuvdXoRL5x5pn615SRYamDmHVOJ59ccQWumhrGfv55QLVB8YdA26octK+u8Q1nYIJc961bScvMZOXQoZRafbrQ49E7E3/8sb4L6+67jU7kW0OG6Av/a9bA9deDRS6nyktMZPGIEaTt3k3/L780Oo6pSYEJEHIGBsIqKxmxeDEHU1L4tk8fo+OcGq8Xbr4ZZsyAp56CBx80OpF/TJyoF89PPrHUQcxNZ5/Nj926ceHKlbQ5cMDoOKYlBSYAhNbUEFFdHfQjmIuWLiW0upp5Y8agWXmqUNP0WyKnTYM//QkefdToRP71wANw333w73/Dc88ZnaZxlOKLSy6hNCaGK+fMIdQiU3zNLQdwIwXG0mQHGXTYvZuzN2/my379yE1KMjrOydM0uPdeeP11eOQRvcAEOqX0E/7jx8PvfgcffWR0okapCQ3lk3HjiC4r49J58ywz+mpOXqXIQgqMpQX7GRhHXR2XzJ9PQVwcawYNMjrOydM0/aT7Sy/p7+qfesr6mxQay2bTz/YMHKgfxGzmO+RP1qE2bVhx4YWcsX07vb77zug4phRIZ2GCssAE+whm4Jo1xBcWMv+SS3A7nUbHOTmaBk88ob+Tv+sufV0iWIpLg4aDmGlp+s6yrVuNTtQoX55/Prs7dOCiFSsIq6w0Oo7pBNLVyUFZYOJLSigPC6MmJMToKM0uMTubfuvX833PnuxNTTU6zsn761/1Ecstt+hrEcFWXBrExsLixRAZqZ+RscACuqYUi0aMIKSmhkFr1xodx3QC6bBlcBaYIN1BprxexsybR3VoKMvM3E34RP7+d32t5YYb4NVX9emiYNZwELOhY7QFGkzmJiby3dln0+fbb4mz2A2e/nZIKSKBQHiFCsq/mfElJeQH4fpL72+/pc2hQywZMYKq8HCj45yUvl99pe8Su+YaeOstKS4NzjpLny7buVOfLqupMTrRCaUPHozHbuei5cuNjmIqgbRVOej+dto8HlqUlgbdCCa6pIShK1aQ0akTW8880+g4J6XPN98wfMkSvcfYu++C3W50JN3hw/omg3/+09hpjYaDmKtXW+IgZnlkJOv796fbjh20s1CPNX+TAmNhsWVl2DUtuHaQaRojFy7E5vWy4JJLLLlecc7GjYxauJAdXbvqbffNcldNTg5ceCE8/zw8/DD87W/G5rn6anjmGb2bwe9+Z2yWRvjy/PMpiYpi+NKl0kamnhQYCwvGHWSnb9/OaT//TPqQIRTHxhodp8l6fP89l8yfz87Onfl0/Hgwy863vDwYOlRfWG9o3/LHP+oHPo304INwzz160TP5Qcw6p5MVF15Im8OHOWPbNqPjmEIW4EUKjCUF2xmYkKoqRi5cSFZSEhv69jU6TpN137KFy+bOZXdqKh9fdZV5btksLISLLoLMTJg/Hy64AN58U/9vN9+sL7obRSm9sFx5JTz4oOlfuLecdRZZSUkMW7ECh9ttdBzDuZUiBwLiLEzQFZi44mLcdjulkZFGR2kWw1asIKKignmXXopmljWLRjp92zbGfvYZezt04KOJE/GYZeRSXAwXXwzbt8PcufraB4DLBbNn6wvu48frVzQbxW6H99+HCy5g3Oef02HvXuOynICmFEsuuojYkhLO+/pro+OYQqCchQm6AhNfUkJhdDSaBdchmqrtvn303riRr/v2Jat1a6PjNEnXHTu4YvZsDrZpw8yrr8btchkdSdewFXjLFpgzRy80R4qK0u+hSUiA0aNh925jcoJ+EHPuXArj4pg4axaJubnGZTmBPR078nPnzgxct47wigqj4xhOCoxFxRcXB8X0mN3tZsy8eRTHxJA+eLDRcZokbedOxn/8MVnJycy49lrqzHIgtqICRo3SRyYff6wXkKNJTtYPP7rdMGKEvlZjlNhYPrjmGupcLibNmEF0aalxWU5g6bBhOGtrGbxmjdFRDCcFxoo0Tb8HJggW+PuvW0fL/HwWjB5tnhfoRkjNzGTCrFnktGrFB5MmURsaanQkXWUljBkDX36p72K7/PLjf/xpp8EXX+gbAMaM0f+8QUpiYvjg6qsJqalh0ocfmraTcX7Llmzq1YvemzYRn59vdBxDHVKKFkCkxYtMUBWY8KoqQmtrA34EE5+XxwVr17K1e3cyunQxOk6jtd+zh4kzZ5KfkMAH111HTViY0ZF01dUwdiysWqU3mBw/vnF/rn9/vRh9841+j4uBC9g5SUl8dNVVxOfnM3HWLOwmXUxfNWgQdQ4HFwf54cuGrcqtpcBYxy87yAJ5BFPfDqbO6WTJiBFGp2m0tvv3c82HH1IUG8v7119vnk4DtbX6bqylS+Htt+Haa5v258eO1bs9z5unN+U08AVjT2oqn192GR337WPs3LmmPHdSERHB2gEDOG3nTlNvTPC3gwFyFuaEBUYp1VYpla6U+kkptU0pdW9zBPOHX87ABPAI5pzvv6f9/v0svfhiKiyyUy7l4EGu/eADSqOjee/666mMiDA6kq6uDiZM0BftX3sNpkw5uce58079rprXX9cbdBpo65lnsnTYMM7cto2Lly0zNMuxbDjvPIpjYhi+bJkpi2BzOFT/z4AvMOgXrD2oaVo3oC9wp1Kqm39j+Ud8/QgmUNvERJaVcdHSpezp0IHNZ59tdJxGST58mEnvv09FRATvTZ5MRVSU0ZF0bjdMmqT393rxRbj11lN7vKee0h/viSdg+nRfJDxp688/nw3nnku/DRvou2GDoVmOxu10svzCC2mdlcWZFrmCwNeyGkYwBuc4VScsMJqmZWma9l39v5cB27Ho1x1fXExJRAR1ZjlP4WPDFy/G4XYz3yLtYFplZzPp/fepDg3l3cmTKYuONjqSzuPRRysff6zfM3P33af+mErpU2zDhsFNN+m7zIyiFIsvvpifTjuN4UuXmvIg5o/du3OodWuGrVyJo67O6DjNrkYpcgmOEcwvlFIdgLMBS56GalFWRrFZXsR8LLq4mO7btvFVv34UJiQYHadRhtYv5L47eTKlZpq2XLoUPvhA7y324IO+e9yGg5gdOsBDD/nucU+CZrMxe+xYspOSGLFkiaFZjkZTilUDBxJTWkpaZqbRcQyRoxRJwVJglFKRwGzgPk3TfrOZXil1i1Jqo1JqY6VJb6lT6HdeB6Kq+h1XtRYanRW3aIHD7abUbEX/3HP1YuCPlvehoXqbmbPO8v1jN5Hb6UQBBfHxRkc5qhb1a6a5LVsaG8QgTqDW6BCnqFEFRinlRC8uMzRNm3O0j9E07Q1N03prmtY73Cw7gH7Fq1TALhrWhYRQGhVFgoXOD2SkpeGqq6Od2W5hjI+Hyy7TRzG1Pv4rvnQpFBXpXY8NFlVaSnJ2NrvS0oyOclRddu0iPy6OQpMWQH+L0DQqLP6GuDG7yBTwNrBd0zRzt2Y9AU0pbAFaYADyExKILygwOkaj7e3YEY/NRlpGhtFRfmvKFMjP1xtZ+tKHH0JcnN4U02Cd66eednXubHCS33LW1tJh715TZmsu4YA554IarzEjmP7AdcCFSqnN9b9G+TmXX3httoAdwQAUJCToIxiLfI21ISEcaNuWTmYsMBdfDCkp8M47vnvMigq9OeaVV+pTcAbrvGsXJdHRppyC6rhnD06Ph51BXGAiAKt3ZWvMLrJ1mqYpTdPO0jStZ/2vhc0Rzte8SmEz+S1/pyI/Pp7QmhoiysuNjtJoGWlpJOXkEFlWZnSU/2W3w+TJetv9w4d985jz5uktY0wwPWb3eEjdvVufHjPhNEyXjAxqXC72tW9vdBRD2DWNUAj8KbJAogXwGgzoIxiABAtNk2XWz/93MuNOoSlT9GuH33vPN483cya0bq3fHWOwtgcOEFpba84RgqbRZdcuMlNT8VjsiglfaThqHPAjmEASDGswgKUaBWa3akV5RIQ5p8nS0vRiMG3aqU87FhXpo6GJE/XRkcE679qF22ZjT8eORkf5jVa5ucSUlgb1+osUGAsK9Cmykuho6hwOS+0kw2Yjs1MnOmVmosz4vZk6FXbu1Lson4o5c/TWMyaYHgPonJHBvvbtqTXBWtCvddm1C4CdJt3d1hzC69/QyBSZhQT6Ij82GwXx8ZbaSQb6NFl4VRXJWVlGR/mtK6+EyMhTX+yfOVMfEfXq5ZtcpyCmuJhWeXmm3Z7cedcuDicnU26WtkEGaBjBBMMusoAR6FNkoE+TWWoEA2SmpgKYc5osMhKuugpmzYKT3TyRlQXp6froxQTvSDvXP89mnIIKq6yk7cGDQT16AZkisySvzRbQU2Sgn8puUVxs2vs+jqYyMpLDycnmXOgHfZqsogI+/fTk/vzHH+ubBUw0PVbYogX5JjzAmJaZiU3TzLn5oBk1TJFVmuANyakIrgIT4LvIQN9JZtM04goLjY7SJJlpabQ9cIAQM9622K8fdOly8tNkM2dCjx5w+um+zXUS7G43qXv26KMXE754ddm1i/LwcA6nWLKfrs/ICMaCgmWKDKy1kwwgo1MnbJpGx927jY7yW0rpo5i1a6F+AbrRdu+Gr782zeil/b59uOrqTLn+orxe0jIzyUhLQzNh8WtODc22pMBYSLBMkQGWW4c52LYtNS6XeTvnXncd2GxNv8vlo4/0f06c6PNIJ6NLRgZ1Dgd7O3QwOspvtDl0iPCqqqCfHgO9DxnIFJmlBPpBS9Dbr5RGRVluJ5nXbmd3aqq+0G/G71Hr1jBypF5gPJ7G/7mZM6F/fzDJifTOGRnsbd/elHciddm1C49SZHbqZHQUw8kUmQV5g2CKDKy5kwwgs1MnWpSUmHd6b+pUvW3M0qWN+/gff9R/mWR6LLawkISCAlPuHgN9e/KBtm2pDg01OorhZIrMgrw2mzkP8/lYQXy8pZpeNmhoG2PaabJLLoGEhMYv9s+cqZ/aHz/ev7ka6ZftySZcf4kuLSU5J0emx+pFaBo1gEemyKwjGBb5QR/BhNbUEFFhrfc/xbGx5MfHm/M8DOgdkCdN0jsin2iUpWl6gRk6FBITmyffCXTOyCA/Pp7CuDijo/xG54bT+1JggMDopAxBVmCCYZsy/LfppWmnmo4js1MnOuzdi92s97BPnaq3fPnww+N/3Ndfw549ppkec9bV0XHvXlOOXkBffymKiSHPhFcHGCEQ7oKBYCswNltwjGAsupMM9Pb9Treb9vv3Gx3l6M48E3r3hrffPv4U5MyZEBICY8c2X7bj6LB3L06325QFxmHyszlGiAyA2ywhyAqMplRQrMGUxMToTS8ttpMMYF+HDrjtdnPectlgyhTYsgW+//7o/9/j0U/vjxoFMTHNm+0YOmdkUOt0mvJ+lfZ79+Kqq5PpsSOEI1NkluNVSv+CA30U09D00oIjmDqXi/3t2pl3HQb0aa+QEL2N/9GsWgXZ2aaZHkPT6LxrF7s7dsTtcBid5je6ZGRQ63Cwx4Rnc4wSoWkyRWY1Xpv+5QbDNNkvO8ksKCMtjcS8PKJKSoyOcnSxsTBuHMyYAUdrbTNzpt4k85JLmj/bUcQXFBBXXGzK6bGGy8X2dOyI24Rnc4wSgfVb9UOQFZiG9hPBME2Wn5BguaaXDUy/XRn0abKiIn1H2ZFqamD2bH3tJSzMmGy/0sXE25MTCgqIKyoy7dkco8givwU1FJigGMHUN72MtVjTS4DcxERKo6LMPU124YXQrt1vp8kWL4biYvNMj6FvAc5t2ZKSFi2MjvIbXWR78lFFaJqswViNN4gKjJV3klHfLiR1925UU9qyNCe7HW64QT/Vf+DAf//7zJkQHw/DhhkW7X+Ul9N+3z5Tjl5AL345iYmUmGQzhFmEA+UyRWYtDWswwTBF1nAWxoo7yUCfJgurribl8GGjoxzbDTfoG0befVf/fXk5fPGFfnLfLOsJK1bg8HpNeYFXSHU17ffvN2U2o0UgU2SWE0xTZL80vbTiCAbYnZqKhklvuWzQsSMMGaJPk3m9enGpqjLV9BiLFlHtcnGgXTujk/xGp927sXu9Mj32KzZNIwxZ5LecYJoiA2vvJKsKD+dQSop5b7lsMHWqfufL2rX69FibNjBggNGpdJoGCxeyOzUVj91udJrf6LJrF5WhoRxs29boKKbS0OhSRjAWowXRFBnoO8niCwose+4nMy2NlEOHCK008V+1ceMgOhr+9S9YsgQmTNDvjTGDbdvgwAFTrr8oTaNzRgaZnTr9MnUtdIHSqh+CrMAE3QgmIYGw6mrLNb1s0HDLZaoZb7lsEB6uXyY2f77eo+yaa4xO9F8LFwLm3J6cfPgwkRUVMj12FOH1r08yRWYxwVZgGnaSWXUd5lBKClWhoeY+DwP6NBlAly5w9tnGZjnSwoXQowdl0dFGJ/mNLhkZeNEP1Yr/1TCCMfG4vdGCqsAE4xQZWHcnmWb2Wy4bnHsuXHUVPPyweZo1lpTA+vV6PzQTSsvI4FBKCpXh4Sf+4CAjU2QWFWwjmF+aXlp0BAN6+/7osjJa5uYaHeXYlIJZs/47kjGD5cvB7TZlgbF7PCRnZ7PfhDvbzKBhiqzSLG9WTkFQFphguBMGsHTTywaWaBtjRgsXQosW0Lev0Ul+o2VuLg6Ph8PJyUZHMaXI+n/KCMZitCBqdtmgID5e30lmUaUxMeS2bGnu8zBmU789mYsvBhN2T26dlQUgBeYYZIrMorxB1OyyQUFCArFFRZZsetkgs1Mn2u/bh6O21ugo1rB5s35dgAmnx0AvMNUhIRSZ8OpmMwikKTK/vL0pKChgxowZ/njoUzKiuprJwOIFC9hmllYewI033ui3x86JjcWmaUTl5lr2OtqfO3bk/A0baJOZya60NPbt22d0JFOL/vBDYoEDZ5yBd98+9pvsdtD4ffvYExvLviN7uJlM9dGuYWgmrvp/FtTUYFwK3wiqEUxD20TznWn2n7z6d4lW3UkGsLdtW+ocDjqb+TyMiYStWkXNWWfhNeEbCrvXS9vCQvbVb6EXvyVTZBblCbJdZKCvwQC0tHCBcTud7GnXTgpMI9iKiwn57juqBg82OspRtS4qwun1slcKzDFFAHX1v6wuqApMw8pLMI1gakJCKI2MJMGC98IcaVenTrQsKKCFWW+5NInQNWtQXq9pC0yH+jc6UmCOLYLAGL1AkBWYYJwiA/1Ev5WnyAAyUlMB2a58ImGrVuGJjaW2Rw+joxxVh4ICqpxOck3YXcAspMBYVDCOYADy4uP1KTILTw3mxcdTHB0t02TH4/UStno1VYMG6ReimVD7ggL2xcX9cnWG+C0pMBYVbCf5G+THx+tNL83clfhElGJXaiqd9u7Vm0qK33Bt3Yq9oICqIUOMjnJUdq+XdoWF7K1vYSSOTgqMRQXzFBlYeycZ6OswoTU1hGzebHQUUwpLT0dTiuoLLjA6ylG1Li7G6fXKDrITiADKjQ7hI1JggkB+AOwkA9jdoQMepQhbvdroKKYUlp5Obc+eeE16gFEW+BtHRjAW1VBggm2KrDg6Wm96afECUx0aysGUFELXrDE6iunY8vNxbdli2ukx0NdfqpxOcmSB/7ikwFhUwxpMsI1gNJuNgrg4yxcYgF2pqbi2bsUWAF+LL4WtWYPSNFMXmA75+bLA3whSYCwqWKfIAPIDqMAoTSN03Tqjo5hK2KpVeBISqD3jDKOjHJXN66VtUZGsvzSCFBiL+mWKzNAUxsiLjye2uBi7x3PiDzaxw8nJeGJjZR3mSB4PoatX64crTXq/feviYlwej6y/NEIkUmAsKVi3KYO+0G/XNOKKioyOcko0m43qAQMIW7MGgqgr9vGEbN6MvaTEtKf3QRb4G0sB4UiBsaRgniLLa9iqbOHLxxpUDRqEPT8f5/btRkcxhbD0dDS73bTbk6H+BL/DQU5MjNFRTK3hAmkpMBYUzAXml6aXFu9JBlA9cCCgL2wLCE1Pp6ZXL7wmfvFuX1DA/vh4WeA/gUDqpAxBWmCC6ouu90vTywBY6PckJlJ72mlSYAB7bi4h27aZenrMVt+iX6bHTkwKjIX9sk05CNdgIDCaXjaoGjSIkI0bURWB8lfx5ISuWgVg6u3JrUtKCPF4ZAdZI0iBsbBgniIDfR0mweJNLxtUDxqEqqsj9KuvjI5iqLBVq3AnJVF32mlGRzmm9vXrfjKCOTEpMBYW7AUmPz6ecKs3vaxX3asX3rCw4D7VX1dH2Nq1+vSYidc2OhQUUO1wkC0n+E9ICoyFBfM2ZQicppcAhIRQ3a9fUJ+HCdm0CVtZmanXX0AvMPvj4tBMekbHTKTAWJiMYAKowKDvJnPu24dj3z6joxgiLD0dzemkun9/o6MckyzwN40UGAsL1gvHGhRHR1Nnt1u+q3KDqvrtysE6TRa2ejXVffqgRUUZHeWYkusX+OUOmMaRAmNhwbxNGeqbXgbQTjJ3hw7UtWsXlNNk9sOHce3YQbUFpscA2UHWSFJgLCzYtylDfdPLADhsCYBSVA8cqO8kq601Ok2zCrPA9mTQD1hWOxxkyQJ/o0iBsbBgX4MBfR0mtqjI8k0vG1QNHIitooKQTZuMjtKswtLTcaekUJeWZnSU45IF/qaJQH+dqjE6iI8E1XddCox+FiYQml42qO7XD83hCK5pspoaQtev10cvJt6erLxe2hUWyvRYEwRSq34I0gITrNuUIfB2kmmRkdT06hVUbWNCv/0WW2Wl6afHkktKCHG7ZQdZE0QC5UaH8KGgKjAohZdg+6L/V0OBCZSdZKBPk7l++glbbq7RUZpF2KpVaC4X1eefb3SU45IW/U0nIxiL8xDcU2SB1PSyQdWgQQCErV1rcJLmEZaeTvV556GFh5/4gw3UoaCAGoeDLBN3eTYbKTAW5yEIv+hfCaSmlwB13brhSUgIimkyx/79ODMzTT89BvUt+mWBv0mkwFicV6mg3qYMgdX0EgCbjaoLLiB07dqAv+XSCt2TQV/gby8n+JtMCozFBfsUGfy36WV4ADS9bFA9aBD2wkJcP/5odBS/CktPp65DB9wdOxod5biSS0sJcbtlB1kTSYGxOCkw+mFLCIzbLRtUDRgABHbbGFVdTehXX5m+uSXo02MgC/xNJQXG4oJ9FxlAfn1fqIT6ezoCgTchgZru3QN6HSZkwwZs1dWWKDAd8vOpsdtlgb+JpMBYnEfWYH5pehkwLWPqVQ8aRMimTajSUqOj+EXYqlV4Q0Op6dvX6Cgn1KGggANxcXhlgb9Jgq7AKKVClVLfKKV+UEptU0o92RzB/EWmyOqbXsbFBdROMtDPwyiPh9AvvzQ6iu9pGmErV+qdC0JDjU5zXA0n+GV6rOnCCbICg94W50JN03oAPYERSinzv4U6BtmmrMuPjw+ow5YANeecgzcyMiCnyRx79uDcv9/0u8cAkkpLCZUT/E0Whv7aFFQFRtM1dC9w1v+y7ByTWynCgnyKDCAvIYHYoqKAWoeh/vKtiHnzCE1PNzqN79TW0uLZZwFM355feb0M37YNgD1yB0yTJNX/s8zQFL7VqDfzSim7UmozkAss0zTt66N8zC1KqY1KqY1eE59F+NHhoFddndExDPfN2WdTFRbG1XPm4AygVvdFjz+OOyWFVlOm0OLpp8Hi32tVXk7ijTcSsWABRQ89hLttW6MjHZPD7eb21asZtGsXi844g8OxsUZHspQb0WdYFhgdxIcaVWA0TfNomtYTaAOcq5TqfpSPeUPTtN6apvW2mXhhb53LRTuPh3Zut9FRDFUWHc0nl19Oy7w8Llu0KGAOXbrbtSP7888pmzSJmNdfJ2n8eOwHDhgd66TY8vJoNXEioV9+Sf4zz1B6xx1GRzqmsJoaHly2jD779jGzTx8+7tPH6EiWEgLcAswDAukC8CZVAk3TioF0YIRf0jSDdSEhAAwIoHftJyuzY0dWDhxIzx9/pPf33xsdx2e00FAK//Y38l59FWdmJq1HjSJ80SKjYzWJY+9ekq64AmdmJrlvvUXF+PFGRzqmFhUVPLZoEWl5ebw2cCBLzzjD6EiWMwFoCbxkdBAfa8wuspZKqRb1/x4GXATs8HMuv8mw28m22aTA1Fs9YAA7U1O5ZOlSWmdlGR3HpypHjiRr4ULqUlNpefvtxD3xBFRXGx3rhFw//EDSFVdgKysj58MPqTbxwn5ycTFPLFxIfHk5zw8bxtepqUZHsqR7gG3ASqOD+FhjRjDJQLpSagvwLfoazHz/xvIjpVjncukFJkCmhU6FphSfXnYZ5RERTJwzh9CqKqMj+ZS7bVuyP/mEkltuIeqDD0geOxZHZqbRsY4pdNUqWl19NVpYGNmzZ1N79tlGRzqmtNxcHlu4EIfHw99HjuSn1q2NjmRJ5wO9CLzRCzRuF9kWTdPO1jTtLE3Tumua9pfmCOZP61wuWnq9dA3ydZgGleHhfDRuHNGlpVwxbx4q0Aqvy0XxY4+RM20a9uxskseMIWLOHKNT/UbEnDkk3nQT7g4dyJ4zB7eJRwM99+/n90uWUB4ayt9Gj2a/bEk+aXcDxcAHBufwB/OuxvvRelmH+Y2DKSksHjaM03ftov+GDUbH8YvqIUPIWrSI2u7dSXjgAeIffBBVYYJTB5pG9KuvkvDAA1Sfdx7Zs2bhSUw0OtUxDfr5Z+5OT+dgbCxPjRpFflSU0ZEsKxm4EniHwDr/0iAoC8xBu509drsUmF/Z0Ls3W08/nYvS0+mwL5D2svyXJymJnA8/pPiee4iYM4fkMWNwbt9uXCCvl9gnnyT2H/+g4tJLyZ02Dc2sL9iaxmWbN3PDV1/xY+vW/GP4cMpM3lXA7G5D7yzystFB/CQoCwzAepeLfrW1Qd+X7H8oxWejR1MYF8eEzz4jKkB7euFwUPLAA+TMmIEqLyf5ssuI/OCD5l+Tq6kh4e67iZ4+ndIbbyT/hRfA5WreDI1k83qZ/NVXXL55M2vT0nhx6FBqnU6jY1maC7gV/dzLboOz+EvQFpi1LhfRmsaZFj+I52u1ISHMHDeOkNpa7nr7bbr/9JPRkfympl8/shYupPr884l/4gkS7rwTVVLSLJ9blZbSavJkIhYsoPDxxyn6wx/ApOfHnG43d6anM3jnTuaddRbv9O+Px6RZrWQ80IrAXNxvELQ/Jevr3ynKNNlv5SYm8tqUKRTFxDDxs8+YMGcO4WZYq/ADb0ICudOmUfToo4QvXUrr0aNxbd7s189pz8kh6aqrCNm4kfwXXqDs5pv9+vlORURNDb9fupSeBw7w/nnnMeecc0Apo2MFhHuA7cAyo4P4UdAWmAK7nZ8cDikwx5DbsiVv3HADywYP5vSff+aeN97gDCPXKvzJZqP01lvJ/vhj0DSSrrySqDff9Mv1y46MDJLGjcNx4AC506ZRcfnlPv8cvhJXXs6jCxfSIT+fVwcPZuXppxsdKWCcW//rP0YH8bOgLTCgj2LOra3FJeswR+W12Vjdvz+v3HgjJdHRXD1njj6aCaCrlo9Ue845ZC1cSNXQocT93//R8qabsPnwzhzXpk0kXXklqqaGnFmzqL7gAp89tq+1KSriiYULia2s5NmLL2Zjhw5GRwoodwOlwHtGB/GzoC4wa10uwoBeMoo5rtzERF6/4QaWDRqkj2Zef51uOyzbzOG4vDEx5L32GgV/+Qth69aRPGoUIV//prdrk4WtWEGra6/F26KFfoCy+2/a+ZlG1+xsHl24EICnR43i56SkE/wJ0RStgKuAaUD5CT7W6oK6wGxwufAg6zCN4bXbWT1gAK9OnUppVBTXzJ7NVZ99FpijGaUov/56subMQQsLo9XVVxPz73+Dx3NSDxf50Ue0vPlm6rp0IfvTT3G3b+/jwL7Te+9eHly6lKLwcP42ahQHpSOyz92KvoMs0KfHIMgLTJnNxmanUwpME+S0asVrU6awfOBAuu3YwT1vvMHpATqaqevenax586i47DJaPP88rSZNwp6b2/gH0DRiXnyR+EceoXrAAHJmzsRr4jtShm7fzu2rVrE3IYGnR42iMDLS6EgBx4l+9mUhkGFwluYQ1AUG9HWYs+vqiDDxHTZm47XbWXXBBfpoJjKSa2fPZvznnxMWgKMZLTKSgueeI/+ZZ3Bt3kzyyJGErl594j/o8RD3xBO0eO45yseNI/ftt9EiIvwf+GRoGuO++45JX3/ND23b8szFF1NR3+1C+NYV6Kf3A3lr8pGCvsCsdblwAufJeZgmaxjNrBg4kO7bt3PPG29w2s8/Gx3L95SiYvx4subNw5OQQKvJk2nx978f8zIzVV1Ny9tvJ2rGDEpuv52CZ58Fkx5KtHu9TF2/njFbtrCqSxf+M2QIdQ6H0bEC1j3ATmCJ0UGaSdAXmI0uF9XAgJoao6NYktduJ71+NFMWGcmkTz/lyrlzCQuwrswA7rQ0sufOpeyaa4h57TVaTZiA/eDB//kYW3ExiZMmEbZsGYV/+hPFDz9s2nMjrro67lmxggsyMvi8Z0/ePf98vHKA0m96oXdO/g8WvnO+iYL+p6laKTY2tO8XJy27VStenzKFlRdcwJk//cQ9r7/OaTt3Gh3L57TQUAqfeoq8//wH165dJI8aRdjixQDYDx+m1fjxhGzZQv5LL1E2ZYrBaY8tqrqah5Ysofvhw0zr14+5PXuathAGiruBMmC6wTmaU9AXGNDXYc50u4mVdZhT4rHbWTlwIK9OmUJ5RASTPvkkYEczlZdcQtaCBbg7dCDxttuIf+gh/QBldjY506dTecklRkc8ppZlZTy2cCFti4p4acgQ1nTpYnSkgNcSmIheXMqMjdKspMCgr8MA9JNRjE9kJyXx2tSprBwwgDO3bePuN96gawCOZtzt2pH96aeU3ngjkR9/DF4v2bNmUdOvn9HRjqldQQGPL1hAZHU1zwwfzuZ27YyOFBRuAUIIjq3JR5ICA/zgdFKulKzD+JDHbmfloEG8NmUKleHhXPfJJ1zxxRcBd2MmLhdFf/gDWZ9/Tvb8+dR162Z0omPqdvgwjyxejNtu56lRo8gw8Z0zgcQB3I6+sB94b7OOT7aLAG6l+ErWYfwiKzmZV6dOZfDatQz88ks67dnD56NGsbNzZ6Oj+VRtz55GRziu83bv5qZ168iKieG5YcMoNuuW6QA0DkhBP2AZbGQEU2+9y0Wax0PySZ7WFsfmsdtZMXgwr0+ZQmVYGNd//DHj5s0jtLra6GhB4eJt27htzRoyWrbk6REjpLg0s7vRD1UuNDqIAaTA1Fsr7fv97nD9aGZV//702LqVu994g84ZwXCe2SBeLy3+7/+4+ttv+bZ9e5696CKq5ABls+oJDEC/sTJYtiYfSQpMve0OB4VK0V/WYfzK43CwfPBgXr/hBqpDQ5k8axZjZTTje7W1JNx/PzFvvsmK007j1UGDcMsBymZ3N1CB3tgyGMlPXD1NKdY3rMNompwJ8LPDrVvzytSpXLh2LRd89RVpe/bw+ejR7OrUyeholqfKy2l5222ErVtH0e9/zwe5ufLzbIAE4BrgHaB57kk1HxnBHGFdSAgpXi8dZR2mWXgcDpYNGaKPZkJCmPzRR4ydP58QGc2cNFteHq0mTiT0q6/If+YZSu+8U4qLQW4CQgm+rclHkgJzhHWyDmOIQ61b8+qNN7K6Xz/O3rKFe954g7Tdu42OZTmOPXtIuuIKnJmZ5L71FhXjxxsdKWjZgTuA5ejXIgcrKTBH2G23c8hmkwJjAHf9aOaNyZOpcbm4YeZMLl+wgBBZE2sU1w8/kHTFFdjKy8mZOZPqIUOMjhTULgfaEjxdk49FCsyR6tdh+tfUoOQaZUMcTEnhlZtuYs3553PODz9w9xtv0ElGM8cVumoVrSZORAsPJ/vTT01/JicY3A3sAeYbHcRgUmB+ZV1ICPGaxulut9FRgpbb4WDphRfyxuTJ1DqdTJk5k8sWLpTRzFFEzJ5N4k03UZeaStacObhTU42OFPTOAgahb00O9u6GUmB+RdZhzONgSgqv3Hgja/v2pdfmzfpoZs8eo2OZg6YR/corJDz4INXnnUfORx/hldYvpnA3UIm+eyzYSYH5lSy7nQy7XQqMSbidTpYMHcqb119PncPBlA8/JO6xx1Dl5UZHM47HQ+yTTxL7z39Sceml5E6bhhYVZXQqAcQB1wLvA0UGZzEDKTBHsd7l4vzaWhyyDmMaB9q04eWbbmLdeecROXMmrYcPJ3T9eqNjNb/qahLuuYfo6dMpvekm8l94AepH3cJ4NwJhBPfW5CNJgTmKtSEhRGoaPeQaZVNxO50sHjaMnE8/RQsJodW11xL3xBOoigqjozULVVpKqxtuIGLBAgoff5yiJ54AuYHSNOzAnUA68KPBWcxCfjqP4itZhzG1ml69yFq4kNKbbiJyxgxaDx9OyJdfGh3Lr+w5OSRddRUhmzaR/8ILlN18s9GRxK+MAdoDLxodxESU5odpIIfDobVo0cLnj9ucVhYXU6IUY2Ni/P65IiMj/f45Akm/Iy706pqXx60bNpBUXs7Szp2Z2aMHNU6ngel8r3VJCQ+vWkVkbS3PX3ABPyYlNenPf/XVV35KFrhycnKa/GcW1tSQqmmcERKCJ4i6J1RXV+P1eo/6BcsI5hjWOZ30cbsJlXUYU/u5ZUseGTmShV27MmzXLv6xaBGnn8SLg1l1zs/nT8uX4/R6+evQoU0uLqJ5dPN6Gez18obdHlTF5USkwBzDGqeTUKCPnIcxvVqHgw/OOYe/Dh2KVyn+sHIlkzduJMTi37tzDh3isZUrqXC5+PNFF7E3Ls7oSOIYbne7qQKmS8fq/yEF5hg2OJ3UARfIQr9l/JyYyCMjR7KoSxcu2rWLvy9axGm5uUbHOimDMzN5YO1aDsbE8OeLLiJXplFNq4WmMdHjYZbdTqGMXv6HFJhjKFeK7xwOBkqBsZRah4P3e/Xib0OHAvDHFSu4ftMm64xmNI2xP/7ILd98w5akJP524YWUhoYanUocx/VuNxHAqzJ6+Q0pMMex1unkbLebKG+wN3ywnh31o5nFXbowYudOnl60iK4mH80or5epGzcyfutWVnfsyLMDBwbchoVAY9M0bvV4WGezsVW2jP+GPCPHsdbpxA70s8q7X/E/ahwO3uvVi78MHYoC/rBiBddt2oTLhN9Pp9vNfevXMywjg7nduvH6eefhkRcs0xvp9dJR03hFRi9HJT/Bx7HR4aAKWYexuh2JiTwyYgTLO3dm5M6d/H3RIrrm5Rkd6xcRNTU8lp5Or4MHmd6rF7N69JBLwiziNrebg0oxT94MHJU8K8dRoxTfOJ1SYAJAjdPJ9N69+duFF2LTNP6wfDmTvvvO8NFMXEUFf1q+nNTCQl7q35+lXboYmkc03mleL0O9Xt6UrcnHJAXmBNY4nZzh8ZAg6zAB4adWrXh45EiWd+7MqJ9/5unFi+li0GimTXExTy5bRlxVFX8fPJiv27UzJIc4Obe53VQD02R67JikwJzA2vofngEyigkYv4xmhgzB7vXyx+XLufa773A242jmtNxc/rR8OQp4cuhQtrdq1WyfW5y6aE3jGo+HT+x28mX0ckxSYE7gB4eDUqVkmiwA/ZSUxCMjR7IiLY3R9aOZzvn5fv+8fQ4c4JH0dIrDwvjzRRdxIDbW759T+NZ1Hg+RyNbkE5ECcwIepfjS4ZACE6CqnU6m9enD/w0ZgtPr5U/Ll3PN99/7bTQzbNcu7l23jr1xcTw5bBj5ERF++TzCf5SmcZvbzVc2G5tlcf+45NlphDVOJ6leL208HqOjCD/ZlpTEwyNHsrJTJy7ZsYOnFy8mzZejGU1j/JYtTN24ke9TUnhqyBDKQ0J89/ii2Qz3eumkabxitxsdxfSkwDTC2vrDbjKKCWzVTifv9OnDU0OG4PR4+PPy5Vz9/fc4T/GNhd3r5eZvvmHstm2s7NSJ5wcMoFamVizrdrebw8BcKTAnJAWmEbbb7eTJOkzQ+DEpiUdGjWJVaipjduzgqcWL6XSSo5kQt5sH1q5lyO7dzO7enbf69MEr0yqW1dnr5SKvl7ccDtyyuH9C8pPeGEqxzunU+5JJ+/6gUOV08ta55/L04MGEuN08uXw5EzdvbtJoJqqmhsdXrqRHVhZv9enD7DPPlAOUFneb200N8I6MQBtFCkwjrXE6SdI00uQ8TFDZmpzMwyNHsio1lUu3b+f/Fi8mtaDghH+uZXk5f1q2jHbFxbwwYAAr09KaIa3wpyhNY5LHw6d2O7nyRqFRpMA0UsM6jHRXDj5VLhdvnXsufx88mDC3m78sW8aEzZtxHGM0076oiD8vW0Z0TQ1PDRnCxjZtmjmx8IdrPR6igNdk9NJoUmAaaa/Nxn6bTdZhgtiW5GQeGjmS1R07ctn27Tx1lNFMt+xs/rB8OR6bjSeHDWNny5YGpRW+pDSN291uvlGKTbKG1mjyTDWWUqx1OhlQV4dN1mGCVpXLxZvnncc/Bg0irK6OJ5ct46offsDh8XD+vn08sno1+RER/PmiizgUE2N0XOEjw7xeOkvX5CaTZ6sJ1jqdXFtTQ3ePhy3ygxbUfmjdmodHjWLSd99x+U8/0W/fPhIrKtjesiXPDRxIhctldEThQ7e73WQDn8nW5CaREUwTrJN1GHGESpeLN/r25Z+DBqE0ja/atePvQ4ZIcQkwnbxeRni9vO1wUCeL+00ib8ObINtm42e7nQF1dfwnLMzoOMIkNrduzb2XXipbkAPUrW43tcDbMmvRZDKCaaK1Dgfn19XhlHUYcSQpLgEpQtO4zuNhjt1OtnyPm0wKTBOtdTqJAM4x4bW7QgjfutbjIQbpmnyypMA00XqnEy/Sl0yIgFffNXmjUnwro5eTIgWmiYptNrba7bLQL0SAu9Dr5TRN00cvUmBOihSYk7DG6aS3202YrMMIEbBud7vJAWbL1uSTJgXmJKx1OnEB58koRoiA1MHrZaTXyzSHg1oZvZw0KTAnYYPTSR2yDiNEoLrV48EDvCWL+6dECsxJqFSKjQ6HrMMIEYDCvF6ud7v53G7nsIxeTokUmJO01unkLI+HGGnfL0RAubyigljgVVl7OWVSYE7SWqcTO9BPzsMIETg0jcmlpXyvFBuka/Ipk2fwJG10OKhE1mGECCTnV1fTta5Otib7SKMLjFLKrpT6Xik135+BrKJOKTY0XKMshAgIk8vKKLDZ+ESmx3yiKSOYe4Ht/gpiRWudTk7zeEiUdRghLC+lro5hlZV8FBVFjYxefKJRBUYp1QYYDbzl3zjWstrpZJPDQUspMEJYXhu3mwMOBx9ERRkdJWA0dpP3C8BDwDGfeaXULcAtALYgWRzb4nAwXG4tFCIgfB0WxpCUFFl78aETVgKl1CVArqZpm473cZqmvaFpWm9N03or+QYJIaxIXrt8qjFDjf7ApUqpvcBHwIVKqQ/8mkoIIYTlnbDAaJr2qKZpbTRN6wBMBFZqmjbJ78mEEEJYWnAslgghhGh2TerkpmnaKmCVX5IIIYQIKDKCEUII4RdSYIQQQviFFBghhBB+IQVGCCGEX0iBEUII4RdSYIQQQviFFBghhBB+IQVGCCGEX0iBEUII4RdSYIQQQviFFBghhBB+IQVGCCGEX0iBEUII4RdSYIQQQviFFBghhBB+IQVGCCGEX0iBEUII4RdSYIQQQviFFBghhBB+IQVGCCGEX0iBEUII4RdSYIQQQviFFBghhBB+IQVGCCGEX0iBEUII4RdSYIQQQviFFBghhBB+IQVGCCGEX0iBEUII4RdSYIQQQviFFBghhBB+IQVGCCGEXyhN03z/oErlAft8/sCnLgHINzqEhcjz1TTyfDWNPF9NY9bnq72maS2P9j/8UmDMSim1UdO03kbnsAp5vppGnq+mkeeraaz4fMkUmRBCCL+QAiOEEMIvgq3AvGF0AIuR56tp5PlqGnm+msZyz1dQrcEIIYRoPsE2ghFCCNFMpMAIIYTwi6AoMEqpEUqpn5VSGUqpR4zOY3ZKqXeUUrlKqR+NzmJ2Sqm2Sql0pdRPSqltSql7jc5kdkqpUKXUN0qpH+qfsyeNzmR2Sim7Uup7pdR8o7M0RcAXGKWUHXgZGAl0A65WSnUzNpXpTQdGGB3CItzAg5qmdQP6AnfKz9cJ1QAXaprWA+gJjFBK9TU2kundC2w3OkRTBXyBAc4FMjRN261pWi3wEXCZwZlMTdO0NUCh0TmsQNO0LE3Tvqv/9zL0F4EUY1OZm6Yrr/+ts/6X7DY6BqVUG2A08JbRWZoqGApMCnDgiN8fRF4AhB8opToAZwNfGxzF9OqnfDYDucAyTdPkOTu2F4CHAK/BOZosGAqMEH6nlIoEZgP3aZpWanQes9M0zaNpWk+gDXCuUqq7wZFMSSl1CZCradomo7OcjGAoMIeAtkf8vk39fxPCJ5RSTvTiMkPTtDlG57ESTdOKgXRkze9Y+gOXKqX2ok/vX6iU+sDYSI0XDAXmW6CzUqqjUsoFTAS+MDiTCBBKKQW8DWzXNO05o/NYgVKqpVKqRf2/hwEXATsMDWVSmqY9qmlaG03TOqC/dq3UNG2SwbEaLeALjKZpbuAuYAn6AuzHmqZtMzaVuSmlZgJfAV2VUgeVUjcancnE+gPXob+z3Fz/a5TRoUwuGUhXSm1BfwO4TNM0S22/FY0jrWKEEEL4RcCPYIQQQhhDCowQQgi/kAIjhBDCL6TACCGE8AspMEIIIfxCCowQQgi/kAIjhBDCL/4fQgIjgNbmIckAAAAASUVORK5CYII=\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_4r = img[:,:,0].copy()\n", + "str_4r = str_4r[18:23,607:612]\n", + "plt.imshow(str_4r, cmap='Reds')\n", + "plt.show()\n", + "\n", + "p0 = [12, 3, 6, 0.9, 1.4, 0, 0]\n", + "determinar(str_4r,p0,FWHM_xir,FWHM_yir, incer = str_4r.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 5" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[162.50745202 1.0652327 1.2441567 4.57620325 4.20175448\n", + " 3.18754763 128.05035619]\n", + "2.5084313108756726 2.929765136330512\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_5r = img[:,:,0].copy()\n", + "str_5r = str_5r[347:356,542:552]\n", + "plt.imshow(str_5r, cmap='Reds')\n", + "plt.show()\n", + "\n", + "p0 = [15, 3.4, 6, 0.8, 1.4, 0, 0]\n", + "determinar(str_5r,p0,FWHM_xir,FWHM_yir, incer = str_5r.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 6" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[150.54027437 1.06288385 0.86245768 2.07589231 1.71659829\n", + " -1.80244502 125.04225717]\n", + "2.5029001928382875 2.0309326365113836\n" + ] + }, + { + "data": { + "image/png": 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hra0l9eWXUWw2vSN5PCkYAUBIWRk3LVjAyfBwvrjqKlRPfXKprNTe5F98Ee69F5YuhfBw130+RYHrr4cDB7SlzMuXQ6dO2lBaw+kAwnkV8fHsuP9+Ivfvp9Nnn+kdx+NJwQi8bDZumT8fH5uNT6+5hlo/P70j6SM3Fy65RNvb8sYb8M470FzH+Pj7a/tmDh6EG2+EF17Qhs9mztSeqITT8oYM4cjo0XRYsIBWmzbpHcejScF4OlVl/DffEF9QwBdjx3ruMuTNm6FfP23F2JIl2l4XPZ7iYmPh44+1OZ+2beHuu6FvX20oTThtz913U9KuHb3feIOAwkK943gsKRgP12/HDvru2sXqQYPYl5Kidxx9fPklDBkCPj7w449w5ZV6J9LK7ocfYNYsbQXbkCFwww2QlaV3MlNweHuz+bHHUBWFvi+9hKWuTu9IHkkKxoMl5uYybuVK0tu2ZdUll+gdp/mpKvz979ocSO/e8NNP0LWr3qn+S1HgppsgPR2efRYWL4aOHbWhtIoKvdMZXlV0NNsffpiwzEy6zpypdxyPJAXjoYLLy7lp/nxKQ0KYM368522irKmBW2+Fv/xF25Py7bdg1AMTAwLgmWe0opk0Cf7xD0hJgU8+kfmZ8yjs149DEyfSZvlyYmUZeLPzsHcVAWC127l5wQJ86+r4dNIkajxtUr+4GIYP14af/v537Y3aDF+D+Hgt848/anM1t98OAwZovxa/af8tt3CiUyd6vvsuQUeP6h3Ho0jBeKCrVq0iMS+PuWPHUhQVpXec5rVnj7Yzf/t2be7lz38232bSgQNh40atGPPyYPBgbShN3jx/lerlxZZHH8Xu60vfl17CWlOjdySPIQXjYVJ37mTA9u2sHTCAPR076h2neS1bBoMGQW2tdgTMtdfqnejCWSzaEF96ujYnM3++Nmz27LPgZjdYNoWayEi2/vGPBOfm0uO99+SSsmYiBeNB4vPzmfDNNxxKSuKbIUP0jtN8VBXefBOuugratdMm81NT9U7VNIKCtA2aBw7A+PHw3HNa0cyaJW+iP3OsRw/Sb7iB+LVrSVy5Uu84HkEKxkMEVVZy8/z5lAUFMWfCBM+Z1K+vh/vvh4cf1t6A16+HuDi9UzW9xESYM0f7/xcdrS1cGDRI208jzki/7jqKe/Sg2/vvEypH8rich7zLeDaL3c5N8+fjX13NZ9dcQ5WnXHNcUgJjxsB778Hjj8NXXzl3h4uZXXKJ9oQ2c6a2Z2bAAHrL4Y//ZbWy9Y9/pC4khNSXXsKrslLvRG5NCsYDjF29mja5ucy78koKoqP1jtM8MjK0yfDvvoMPP9SOXvGUpzaLRTuo8+BBePJJYn78keH330/y559jqa3VO53u6kJD2fLoowQUF9Pr3/+WoUQX8pA/cZ6r9+7dDNq6lfV9+7KzSxe94zSP77777x0uq1bBHXfonUgfwcHwz3+y+q23KO7dm06zZzP8gQeIXb/e499UT3bqxL7bbiNm40baLl6sdxy3JQXjxmIKC5m4fDmHExJYfvnlesdpHh9+CCNHapsmf/pJO2LFw1VFR7P58cf5/u9/py44mNRXXuGSp54izMOvbT48YQIF/fvT5eOPCT9wQO84bkkKxk0FVlVx67x5VAYGMnviRBzuPjzkcGjzLHfdpd2rsmGDtmJMnHGia1e+e/lltj/wAIH5+Qx99FF6vfkmvidP6h1NH4rCtt/9juoWLej7f/+HT1mZ3oncjpu/63gmi8PB5AULCKys5NNrrqEyIEDvSK5VUQHXXAMvvQT33Qdffw2efM3zuVit5Iwcybfvvsuhq68mdt06Rtx/Px2+/NIjD4S0BQWx+bHH8Ckro/drr8nRO01MCsYNjV6zhnY5OcwfPZr8Vq30juNaublw6aXaQZBvvglvv918d7iYmC0ggH23387qf/+bYz160HnWLIY9+CCtf/zR4+ZnStu1Y/eUKURv307y3Ll6x3ErXnoHEE2rx969XLp5Mz/26cP2bt30juNamzfDhAnaE8ySJcY4Zt9kqlq35qcnn6TFrl10nTGDfi+9xPEuXdhz992Utm2rd7xmkz1qFJH79tFxzhxOetoJFy4kTzBupHVREdcsW8aRuDi+HjZM7ziudfoOF19f49zhYmLHu3dn7auvsuO++wg+epShjzxCz7fewrekRO9ozUNR2HnvvVTExNDnlVeIttv1TuQWpGDcREB1NbfMm0e1vz9pV1+Nw2rVO5Jr/PwOl02bjHWHi5lZrWRfcQWr3nmHw+PGEb9mDcPvu4/28+Zhqa/XO53L2f392fz443jV1DC9vByrhw0VuoIUjBuwOBzcuHAhIRUVzLr6aioCA/WO5BJeNhvXL1lijjtcTMwWFMTeu+5i9ZtvcrxrV7p88ok2P7Nxo9vPz5THx7PzvvsYZLPxlBwaetGkYNzAqO++o0NWFgtHjeJoTIzecVwisLKSKbNn02vvXu3CLbPc4WJilbGx/PTnP/PjM89g9/Wl3wsvMOivfyXEza9tzr3sMj728+Oh6mpGeuDKuqYkBWNy3fbvZ+imTWzs1YstPXroHccloo8d44GPP6Z1URGzJk6Ep54y3x0uJnasVy/WvvYau6ZNIzQri8v++Ed6vPMOPm48P/PnwEB2Wa28XV5OvMzHXDApGBOLLi7m2qVLyYqNZcmIEXrHcYmUw4e599NPsTocTL/5Zs+7w8YgVKuVI2PGsOqdd8gcM4aEb79lxP33027BAhQ3nJ+pVRTuDgnBAswoL8fHzYcGXUUKxqT8amq4dd48anx8SJs4Ebu7TeqrKoM2b+a2uXM5ER7O27fdRl7r1nqn8nj1wcHsmTKFNW+8wcmOHen60UcMe+ghWv30k9vNz2RZrTwUFEQvm43n5dTlCyIFY0KKw8GNixYRWlZG2tVXUx4crHekJmWx25nwzTeM+/Zb9rdvz39uvpmykBC9Y4mzVMTFsfGvf2XDX/6CarXS/5//ZOCzzxKcna13tCa11NeXd/z8uLumholyEnWjScGY0IjvvyclM5PFI0eS7WaXZ/nV1HDnF1+cudZ51jXXUO/jo3es86uvBw88y6q4Tx/WvP46u6dMISwjg8v/8Ae6/+c/bnWu198CA/nJy4vXKipoZ7PpHcdUzlswiqLMVBSlWFGUPc0RSJxb5/R0hv34I5u7d+ennj31jtOkIk+d4r5PPiHp6FG+HDOGFZddhmqGyfy33gIfHwgNhX/9C2pq9E7UrFQvLzKvuopV777LkdGjSVyxguH33UfbRYtQ3OAN2aYoTAkOpgaYWV6Ov5sNBbqSM08wHwGjXZxDOCHq+HGu//prjrZuzaJRo9xqJVWbnBzu//hjAqurmXHjjWzr3l3vSOdns8GDD8Lvfqdt9hw+XFvh1rmzdnumh70R1YeEsHvaNNa+/jolHTrQbeZMLn/4YVpu2aJ3tItWYLVyX3AwHe12Xqyo0DuOaZy3YFRVXQd46HnexuHbMKlf5+XFZ1dfjc3LfY6R671rF3fNmUNFYCDv3HYbWQkJekc6v7IyGDtWO1zz0Udhxw7tcrNVqyAwEK69Fi6/HPbu1TtpsytPSGDDM8+w8c9/RlFVBv797wx4/nkCCgr0jnZR1vr48Iq/P5Nra7nJw55SL1STzcEoijJNUZQtiqJsUT3sJ7fm0H/HDqJOnmT2xIluNeEdUl7OpGXLyIqP591bb+VkeLjekZzz979rZfL++/B//wenV/ENHw7bt8O778KePTBmDHjiPgpFoahvX1a/8Qa777qLiP376fnOO3qnumgvBwSwycuLP8kuf6c0WcGoqjpdVdVUVVVTFTcaujGKhLw8joeHc8QMP903QnJmJhZVZcnw4dSYZWe+wwFpaVp5TJnyy3/v5QX33quVTE4OrFjR/BkNQvX2JnP8eHKHDiXs8GHTDxs6FIVtXl6Emfz/R3ORVWQmEVdQ4JbHwKQcPkxpcDBFUVF6R3He+vWQlwc33XTuj5swAaKitKccD1eWkIB3VRV+J07oHeWiVSkKAapq+rJsDlIwJhBSXk5oRQW5brbR0GK30z47m/S2bc21YCEtTZtnGT/+3B/n4wN33KFdhmby+YeLVZ6YCEBITo7OSS5elaJgAUzyvK0rZ5YpzwY2ACmKouQqinK362OJs8Xn5wNw1M0KJjEvD7/aWg6a6WKrujrtLpqJE7WSOZ8pU7Q5mA8/dHk0IyuLjwcg2E0KBtCeYsQ5ObOKbLKqqq1VVfVWVTVOVdUZzRFM/FdcQQE2i4WC6Gi9ozSp5MxM7BYLGUlJekdx3ooVcOrU+YfHTktOhqFD4YMPPPq+9/qQEGrCwwlxg53+UjDOkyEyE4jPz6ewZUu3WpoM2vxLdmwstb6+ekdxXloaREbCyJHO/55p0+DIEVi92nW5TKAsIcFthshACsYZUjAGpzgcxBUWut0Ef0h5Oa2PHSO9XTu9ozivogIWLtRu0/T2dv73XXMNRER4/GR/WWIiQUePmn7ZdqUUjNOkYAwu6sQJfOvq3G6Cv0NmJoC55l8WLoTqaueHx07z84Nbb4X58+HYMddkM4HyhAS86uoILC7WO8pFOb0DJlAK5rykYAwuvmH1kbs9waRkZlIaHEyhmZYnp6VBQgIMGtT43zt1qnYg5scfN30ukyhr2MNl9hOXzwyR6ZzDDKRgDC6uoIAaX1+OR0ToHaXJWBwO2mdlcbBNG/MsTz52TJvgnzwZLBfwx6ZLF62Y3n/fY/dPlDesJDP7PMzpgpEnmPOTgjG4+Px8clu1Msepwk5KyMvDv7ZW2/9iFnPnanMHjR0eO9vUqXDwIKxb13S5TMTu709ldLTplyrLHIzzpGAMzKu+nlbFxW43PGbK5clpadpTSLduF/4a11+vHenvwZP97rCSTFaROU8KxsBiioqwqqrbbbA8szzZLGePZWfD999rTy8X8yQZEAA336w9DZ30zAPKyxMSCMrLQ6mv1zvKBZOCcZ4UjIGd3sGf60ZPMMEVFcQUF5tr9djs2drfJ0+++NeaOhVqa+HTTy/+tUyoLCEBi91OUMP3thnVAA6kYJwhBWNg8QUFlAQHUx4UpHeUJpPcsDzZVPMvaWkwcCC0aXPxr9WzJ/Tt67GT/W5xJpmi/PfAS3FOUjAG5o4nKCdnZlIaFERhy5Z6R3HO7t3aXxczuf9zU6dqF5Ft3Nh0r2kSFbGxOCwW00/0VyHLlJ0hBWNQgVVVRJaUuNUGS4vDQYcjR7ThMbOsips9W7tM7Lrrmu41b7xROyjTAyf7Hd7eVMbEmP5Mskp5gnGKFIxBxZ3eYOlGBRPfsDzZNPMvqqoNj40YAU150GhwsPZENGcOlJY23euaRFlCgvmfYKRgnCIFY1Bx+fk4FIU8NyqYlMxM7IpinuXJGzZoK8iacnjstKlTtWNn0tKa/rUNriwxkcCiIqwmvtdeCsY5UjAGFV9QQHGLFtT5+OgdpckkZ2aSExtrnquR09K0c8SuvrrpXzs1FXr0gOnTPW6yvzw+HkVVCc7N1TvKBatSFNnJ7wQpGCNSVW2C342eXoIqKogtKjLP6cn19fDFF9qtlcHBTf/6iqId479jB2zd2vSvb2CnV5KZ+UwyeYJxjhSMAUWUlBBYXe1WK8iSzXZ68rffauePuWJ47LSbbwZ/f4+b7K9s1Qq7t7eplypLwThHCsaATp+g7E4ryFIyMykLCqLALMuT09IgLAxGj3bd5wgN1Y6PSUvT7prxEKrVSkVsLEFmHiJDDrt0hhSMAcXn51Pn5UWRmY6yP4czy5PNcnpyVZV2d8u114Krb9ucOlUrlzlzXPt5DKYqKgr/48f1jnHBqhRF9sE4QQrGgOIKCshr1QrHhRwLb0Dx+fna6clmmX9ZskR703fl8NhpgwZB584eN0xW06KF+QtGVT1ugUZjucc7mBux2O3EFBa61fBYstmWJ6elQUwMDBni+s+lKNpTzE8/wc6drv98BlEVFYVPZSVe1dV6R7kglYqCFXDx863pScEYTKtjx/C2291qgj/l8GHzLE8+dQqWLtV221utzfM5b70VfHw86immOjISwLRPMXKisnOkYAzmzAnKbvIEc3p5smlWj331lbZEuTmGx06LjNTmez77TJv/8QDVLVoA4CcF49akYAwmrqCAioAAToWG6h2lSSQfOQKY6PTktDRITobevZv3806dqh0bM3du835enZwuGLM+wcitls6RgjGY+IIC7enFDKutnJCcmUlZYCAFTXmWl6vk5cHatRd/sdiFGDoUOnTwmGGymshIVEUxbcGcfs6Ugjk3KRgD8a2tJer4cbfZwW+605PnzNFWBTXFxWKNdXqy//vvYd++5v/8zUz18qImPNy8BdPw/Ryocw6jk4IxkNiCAizgNhP8cfn5BNTUmGf+JS1NOyMsOVmfz3/77eDtDR98oM/nb2bVLVoQcOyY3jEuiMzBOEcKxkDcbQd/SmYmDkXhUFPcBOlqBw7Atm3NO7n/cy1bwoQJ8MknYOKThp1VbeK9MFIwzpGCMZD4/HyOh4dT7e+vd5QmYarTk2fP1oapbrhB3xzTpsGJE9pJAm6uukULbRWZCd+kpWCcIwVjIO50RXJQZSVxhYXmWD12+mKxyy/XNljqafhwaNPGIyb7q1u0wKuuDu/ycr2jNJoUjHOkYAwipLyc0IoKtxke62Cm05O3bIGMDH2Hx06zWODuu2HNGjh0SO80LmXmpcpSMM6RgjGIuIYNlu6ygiwlM5NysyxPTkvTdtJPmqR3Es2dd2qnCLj5ZL+ZC+b0ATdSMOfm5YoX9fb2JkbvoQYTiYqKImXTJuxWK/VduhDl7a13pIuiOBwkZ2eT2bkzLYx+PL/dri1PHjtWO57fCGJi4Kqr4KOP4G9/08rvIpQbdAjK1jDXaMnNpbxTJ53T/C8/J+YNqxSFEKvVqY91Z8o5tiDIE4xBtDp6lGMxMdhNXi4ArXJy8K+q4kjHjnpHOb+1a6Gw0BjDY2ebOhWKi2HxYr2TuEx1SAh2q5WAkyf1jnJB5NKx85OCMQDF4SD66FEK4+P1jtIk2hw4gENRyElJ0TvK+aWlaVcijx2rd5L/NXo0xMXB9Ol6J3Edi4Xq8HACT5zQO8kFkYI5PykYA4goLsa3tpbChAS9ozSJpAMHKExIoCbA4Fcy1dRoh1tec412dbGRWK3aZP/KlZCVpXcal6mMjDT3E4zDoXcMQ5OCMYBWDXeTF7hBwfiXl9Pq6FGOGGxM/VctW6YdMGm04bHT7rpL+/uMGfrmcKGqyEjzPsFYLPIEcx5SMAbQKieHWj8/TrnBFclJ6ekAZJlh/iUtTds9P2yY3kl+XUKCNlQ2cybYbHqncYnKiAj8T51CMeGTQJWi4C8Fc05SMAbQKidHm39xgyuS2xw4QGVQEEWxsXpHObeyMm0C/YYbwMsliymbxrRpkJ+vXYLmhqoiI7Ha7fiVluodpdGqZQ7mvMz/jmZyvg4HUQUFbjH/ojgcJKank52SYvyynD8famuNOzx22tix0KqV2+7sr4yIACDAhMNkMsl/fgZ/F3B/XerqsDgcblEwrY4eNc/y5LQ07UiW/v31TnJu3t7axsulSyE3V+80Ta6q4erkQBNO9Msk//lJweisR20tgFsUTNL+/TgURXuCMbKiIli1Sp+LxS7ElCngcGhzMW6msqFgTPkEY7HIHMx5SMHorGddHWVhYVSGhOgd5aK1Ob08OdDg1zB9/rn2hm304bHT2raFESO01WR2u95pmlRdYCA2Hx9TPsHIHMz5ScHorIeb7H/xr6ggOjfXPKvHevSAzp31TuK8qVMhJ0fbF+NOFEXbC2PGJxhFwRvwlpL5TVIwOgq320m02dxiB39SejqKqhp//uXwYdi0yTxPL6dNnAhRUW65s78qIsKUe2HkROXzk4LRkbvNv1QFBVEUF6d3lHObPVv7+4036pujsXx8tCuVFy/Wzk5zI2bdzX+6YPxlov83ScHoqEdtLXagyORPMIrDQVJ6OllGX56sqjBrFlx6qbaJ0WymTNE2XH70kd5JmlRVZCT+paVYTLaZtLrhe12eYH6bgd8N3F+PujoOeXtT7+urd5SLEp2bi39VlfHnX3buhAMHzDc8dlpKCgwdqu2JcaOfmisjIlBUFf9Tp/SO0igyRHZ+UjB6UVV61Nay0+TlAtrwmKooZCUn6x3l3NLStF37112nd5ILN3UqZGZqN166idN7Ycw2TCYFc35SMDpJsNmIcDjcomDaHDhAYXw8NUFBekf5bQ6HNv8yejQ0vKGZ0qRJEB7uVjv7T+/mDzTZzZZnCsaNniabmhSMTk5P8O+4yNsK9eZXUaGdnmz04bHvv9d2wpt1eOw0Pz+47TbtqJtjx/RO0yTMupu/SuZgzksKRic96uqoVhQOmrxgkg4eRFFVsox+PH9aGgQEwPjxeie5eFOnQl0dfPKJ3kmahM3Pj9rAQNPthZEhsvOTgtFJz9pa9vj4YDfDUSXnkHTgAFWBgRQaeXlyXR18+aW2l8Topww4o0sXGDhQGyZzkze3qogI8z3BSMGclxSMDrxUla7uMMHfsDzZ8Kcnf/MNnDxp/uGxs02bBunp2tCfGzDjXpgz+2CkYH6Tgd8V3FdKXR2+wA6TF0x0bi4BFRXGn39JS9Mm9keN0jtJ07nuOggJcZud/VUREaYbIquWSf7zkoLRQU83meBvc+CAtjzZyKcnV1TAwoXaG7K3t95pmk5gINx8M8ydCybbP/JrKiMj8auowNrwZ8MMVEWRAy/PQwpGBz3q6jhusZBn5JsUnZBkhuXJixZBVZV7DY+dNm0a1NTAZ5/pneSimXYlmRTMOUnB6ODMBksTT/D7VVbSOifH+Lv309IgPh4GD9Y7SdPr2RNSU7VhMpO/yZn1ZssqRZE5mHOQgmlmQQ4H7evrTT/Bn2iG05OPH4cVK2DyZGMvQrgYU6fCnj3aCdEmZubd/PIE89vc9E+dcXWrrcUCpi+YNgcOUB0QYOyDOr/8Ujsc0h2Hx06bPFmbjzH5zv6q8HAA0x3bXy3XJp+TFEwzO72Df6eZJ/jPOj1ZNfKTQVqadqlY9+56J3Gd4GCtZObMgbIyvdNcMIe3N9WhoaYrmCqLRZ5gzsHA7w7uqUddHUe8vCi1WvWOcsGi8/IIqKgw9u797Gxtj8hNN5l6rsspU6dqCxnS0vROclHMuhdG5mB+mxRMM+vpBhssk8ywPHnOHO3vkyfrm6M59O2rPaWZfZjMpHth5Anmt0nBNKNom41WdrvpC6bN/v0UxcVRbeTlyWlpMGAAtG2rdxLXUxRtyfK2bbB1q95pLlhlZKS2TNlEb9gyyX9uUjDNyB1OUParqqJVTo6xV4/t2QO7drn35P7P3Xwz+Pub+immKiIC75oavKuq9I7itCqZ5D8nKZhm1LO2ljpgn4kLJjE9HYvRT0+ePRusVrj+er2TNJ+wMO20grQ07fQCE6o04WbLSpnkPycpmGbUo66O/T4+1Bl55dV5JDUsTy406vJkVdXeZEeMgOhovdM0r2nToLwcvvhC7yQX5MxufhPNw1QrCj5oB9iKXzrvO52iKPGKoqxRFGWfoih7FUV5uDmCuRuLqtKttpZdZp5/cThIOnCAbCMvT964EbKyPGt47LRBg6BTJ9MegGnG3fxyZP+5OfMuYQMeUVW1MzAAeEBRlM6ujeV+2tbXE6yqpj5BuWVeHoFGPz05LU279XHiRL2TND9F0ZYsb9oEu3frnabRasLCcFitplqqLAVzbuctGFVVC1RV3dbwz+XAfiDW1cHcjTucoNzmwAEA4y5Pttng889h3DjtKHtPdNtt4ONjysl+1WKhKizMVENkp69N9peJ/l/VqHEORVGSgF6AuQ8+0kGSzQbAMROfoBxZVESdjw/edXV6R/l1+/Zp99Q3DLV4pJoaaNECli3TO0mjWerqsDgc+JhoFVkrux0AN9/Ke8GcLhhFUYKAr4Dfq6r6izMpFEWZpijKFkVRttgbvujiv74JCADgxvJynZNcuJ+GDcNhtXLde+8RbMQ7SLp104aI/vMf+Nvf9E7T/Pbs0fb+lJfDO+/onabRui9YQMCpUxwYOVLvKE5pbbPxcFkZa319yTTxD46u5FTBKIrijVYus1RVnfdrH6Oq6nRVVVNVVU21mvgYFFfZ5evL935+3F1Who9JH6ePx8Qw95578K2q4rp33yWotFTvSP9LUeC99+D22+Gvf4UXX9Q7UfNZswYuuQTsdli3DkzyJn1aRFYWnb/+mowhQyjs1k3vOOenqvyjpAQL8FR4uPsfR3SBnFlFpgAzgP2qqr7q+kju693QUKLtdiZVVuod5YIVx8czb9o0/CsquPbddwkw2gGLFgvMmKGtInviCXjtNb0Tud6sWXDFFRAbq62i69lT70SNothsDPjgA2qDg9lmktV/V1ZXM7KmhldCQjgqTy+/yZknmMHArcAwRVF2NPw1xsW53NKPfn7s9PHhntJSrCZedVKYmMj8qVMJKi3l2vfew99oG/usVvj4Y7j2WvjjH+Htt/VO5BqqCi+8ALfcoi1R/v57SEjQO1WjdV66lIjsbH664w7qAgP1jnNeIQ4HfyspYbe3NzOMfFySATiziux7VVUVVVW7q6ras+Gvpc0Rzu0oCu+EhpJoszHGxE8xAPlt2rDg7rsJPXmSa997Dz+j/f/x8tKWLE+YAA8+aMpVVedks8EDD8CTT2oHeq5YAQ13qphJSH4+3efPJ7tfP46mpuodxylPlJbSwuHg8fBw7DI0dk4G3S3nvlYGBHDI25v7SktNdajfr8lt356Fd91F+LFjTJo+Hd/qar0j/S9vb23Z8pgxcM892lONO6ishGuugXffhccfh88+AxPur1IcDgZ88AE2Pz8233ab3nGc0q+2llsrK/kgKIjdJt5y0FykYJqZqii8FxpKp/p6LjfaG/IFyElOZtEddxBZUMA106fjU1Ojd6T/5esLX32lHR1z552mvzOF4mK4/HL4+mtt6O+FF0x7HXTyqlW0PHSILTffTE1oqN5xzstHVXnh1CmOWq284qn7rBrJnN+ZJrcoMJBcq5X73eApBiCrUyeW3HYbLXNzufr99/Fu2FRqGH5+sGABDB2qbUScO1fvRBfm4EEYOFBbjjxvHtx/v96JLljgsWP0/OIL8rp358jgwXrHccr95eV0sNl4KjycapOWenOTr5IObIrC+6GhpNbW0s9ob8YXKLNrV5beeiutc3KYOGMGXkbbjBkQAIsXa/tEJk+GhQv1TtQ4P/6oTeSXlWlLkidM0DvRBfMpL+eSd94BRWHTnXeaYolv+/p6HiwrY76/P2v9/PSOYxpSMDr5IiiI4xaLNhfjJg51786yyZOJzcxkwsyZWOvr9Y70v4KCYOlS6NNHO9p+qUnWqsyfD8OHa5P4GzZA//56J7pgIXl5XPnss0RkZbFh6lSqWrTQO9J5KarKi6dOUWWx8FxYmN5xTEUKRic1FgsfhoRwWXU1Ubm5esdpMum9e7PixhtJyMhg/EcfYW04IscwQkJg+XLtiuFrroFvvtE70bn9+98waZK2t+XHH6F9e70TXbDWu3Yx+rnn8KqpYeWTT5LTr5/ekZwyubKSfnV1/C00lBOyibxRpGB09GlwMGWKQr/Vq/WO0qT2p6ay8tpraXPgAGM/+QSL0UomLEwrlo4dtaGmNWv0TvRLDgc8+ig89BCMHw/ffgtRUXqnujCqSsqKFVz+8stUtmjB8uee43hyst6pnNLSbuep0lJ+8PXly4bjnoTzpGB0VG618llICMm7dhF27JjecZrUngEDWDVpEu337mXMrFkoRjufLiICVq6Edu3gqqu0TYpGUVOjzRO98oq2h+err7Q5JBNSbDb6f/ghfT/7jNzevVnx179SaYJhsdOeKynBV1V5IizMFHNFRiMFo7MPQ0KwW630dbOnGIBdgwaxZsIEknft4sq0NBSjncEWFaU9GcTHa3tlNm7UOxGcPAmjRmm3Uv7f/8Gbb2onE5iQT3k5w196iQ5r1rBn3DjWPfQQNhNNkI+sruaq6mpeDwkhy9tb7zimJAWjs+NWK3v69aPz1q0ElZToHafJbR8yhHVXXUXHHTsY9fnn2tCPkURHw+rV2t9Hj4YtW/TLkpUFgwdrF4bNnq0NkZn0p+bQhsn8qIwMfrj3XnZcf72p9usEORz8o6SEA15e/Cc4WO84pmWe/+JubMvll6OoKn2++07vKC6x5fLL+WH0aLps2cLIuXONVzIxMVrJRERoTw87djR/hm3btD0uhYXa/NCNNzZ/hiYSs3MnVzz3HF61tax86inT7HM525/Kyoi22/lTeDg2k5a8EUjBGEBZRAQHevWi28aNxjvTq4lsGjmSjSNH0m3TJobNn2+8Dabx8VrJBAVpR93v2dN8n3v5chgyRLuJ8ocftA2hZqSqdFy+nMteeYWKqCiWPfssx0246q1FRgZ3VFTwUVCQqa84NwIpGIPYPGwYPnV19DLSZHMT+/GKK9h8+eX0/PFHLlu40Hglk5SklYyPj7bvpOGKaJeaMUNbZNChg7bHpXNn139OF7DYbPSfOZPUWbPI7dOHb/7yF1Pscfk5xWaj/4wZFFqtvCTHwVw0KRiDONGqFRldutBr/Xq8jXaeV1NRFNaPHcvWIUPovX49ly5ZYrySad9eKxlFgWHD4NAh13weVYVnnoEpU7Rz0tat04bqTMi3vJzhL7xAh7Vr2T1+POt+9ztTTeafrfPSpYTn5vJ0WBiVJpozMir5ChrIT8OH41ddTXcjrGZyFUXhu/Hj2TFoEH3XrmXQ8uV6J/qllBRtdVl9vVYyR4407evX18Ndd8Hzz2sHcC5eDCadSA7NzWX0s8/SIjOT7++9l53XXWeqyfyzBRcW0n3BArL79mWlv7/ecdyCOb8T3FRhYiI57dvT57vvjLcDvikpCquvvprd/fszYNUq+q9cqXeiX+rSBVatgqoq7fTinJymed2yMhg7Fj76CJ59VhsiM+kS2JgdO85M5n/z1FNkmXAy/wxVpf/Mmdi9vdlikqsDzEAKxmB+GjaMoLIyOuu5XLY5WCysvPZa9qamMnj5clKNuA+oRw9tM2ZJifYkk5d3ca+Xn69N5q9erRXLM8+YcxmyqtJp2TIue/VVKqKjWfbcc5ww4WT+2dquX0+r/fvZfsMNVMt5Y01GCsZgcpKTKYyPJ3XNGuNtTGxqFgvf3HADB3r1YsjXX9Nr3Tq9E/1S797abZHFxVrJFBZe2Ovs3aud5Hz4sHaXy113NW3OZmKx2RjwwQf0SUsjt08fVjz9NFWRkXrHuii+paX0SUujODmZQ5ddpncctyIFYzSKwk/DhhF+/Dgddu7UO43LqRYLyyZP5mD37ly+cCE9jLiKrn9/WLZMe4IZPhwae6zP2rXaBsr6em0y/4orXBLT1XzLyhj+wgu0X7eOXRMnsu53v8Nu0sn8s6XOmoVXbS0b77rLtPNHRiVfTQPK6NqVEy1baodgGm2VlQuoVitLb7mFjC5dGD5/Pt2MuMhh8GBYskSb8B8xAk6ccO73zZ6tFUpMjHYUTa9ers3pIqFHj3LlM89ok/n338+uSZPc4s04ZudO2mzYwJ5x4yiLjdU7jtsx/3eIO7JY2Hz55bTMz6dNc+zFMACH1crXt91GZqdOjJg7l86bN+sd6ZcuuwwWLYL0dG0z5qlTv/2xqgovvgg33aQNjf3wAyQmNlvUphS7fTujn38ea3093/z5z2QNHKh3pCZhramh30cfURoTw95x4/SO45akYAzqQO/elIWF0ffbb/WO0mzsXl4svv12sjt0YNTnn5OybZvekX5pxAjtArC9e7Wzy8rKfvkxdrt2CvITT8ANN2hHv4SHN3/Wi6WqdPr6ay577TXKWrVi2fPPc6JdO71TNZke8+YRdPw4G++6C4dJV/IZnRSMQTm8vNh62WXEHTlCTGam3nGajd3bm0V33kle27ZcOXu2MeehrrwSvvxSOz/syiuhouK//66qSrsg7J134E9/grQ0MOFxI5b6em0yf84cclJT+ebpp6mKiNA7VpOJOHKEjsuXc3DYMI6lpOgdx21JwRjY7v79qQoMdLsLyc7H5uPDgrvvpiAhgTGffUa75jwXzFnjx8OcOdrJx1ddpRXLsWPaSrNFi+Ctt+Cll0w5T+FbWsqIsybz1z/4IHYTluRvUex2BsyYQW1ICNuvv17vOG7NfN/9HsTm48O2IUNou38/URe7B8Nk6n19mT91KsVxcVz1ySe02b9f70i/NGkSfPoprF+vbZ4cOBB27oR58+CBB/ROd0HCjh7lymefJeLIEdY/8IDbTOafrePy5URkZ7P5ttuoDwzUO45bc6/vHDe0c/Bgan193fJCsvOp8/Nj3rRpHG/dmnEffURCerrekX5p8mT48EP47jttQ+bq1TBxot6pLkjstm1c8fzzWGw2Vj79NNkDBugdqckFFhfTY948jvbuTU7fvnrHcXtSMAZX6+/PrkGDSN65k7Djx/WO0+xq/f356p57ONmyJRNnziQuI0PvSL90223aU8zpO13MRlXpvGQJl73+OmWtW2s789u21TtV01NV+n/0EarFwubbbjPnKQomIwVjAluHDMFhtZK6Zo3eUXRRExDAV/fcQ0mLFkycMQOMuBlz8GBISNA7RaNZ6usZOH06vT//nOx+/fjmz3+m2o0m88+W9OOPxOzezY7rrjP96QNmIQVjAlUhIezt25fOmzcTWFqqdxxdVAcFMfeee6gIDYUxY7TJdXFRfEtLGfGvf9Hu++/ZefXVfP/AA241mX82n/JyUmfN4li7dhwcMULvOB5DCsYktlx+ORY3vlbZGVUhIcy97z5o2VLbHb91q96RTCssJ4crn3mGiOxs1j34ILuvucath4z6zJ6NT1UVm+66C9XNFi0YmXylTaI0MpL0nj3pvmEDflVVesfRTUVoqDaRHh6u7aY34j4Zg4vbulWbzHc4+Obpp8np31/vSC7Vau9e2q1fz74xYygx4TCmmUnBmMhPDdcq91y/Xu8o+kpI0EomKEjbWW/EfTJGpKp0WbyYoW+8QWlsLMuee46TbdroncqlrHV19J85k7LoaHabdHWfmXm54kXtdjunznVOk/gf3zdi0rpzq1Z0W7OGt3x9qfFyyX8+w/NvuG0w5O67mfDaa1gGD2bh739PSatWOiczpmXLluFtt/PArl30ys1lXUwMb3bsSJ0RL3prYrft309wcTFPDxzIrgULnP59ubm5rgvlQeQJxmS+Sk4muL6eEVlZekfRXVnLlix++GEAxr/xBiHFxTonMqaw2lr+vmEDw3JzmZWSwsu9e1Nnteody+WSysq4+vBhVsXHs6tFC73jeCQpGJM5GBnJnhYtmHDoEF52u95xdFfSqhWLHnoIi93O+DfeINgD9wqdS2RuLq+sW0fb0lJe6NOHz5OT3Xoy/zSLqvLAzp2Ue3vzYefOesfxWFIwJvRVcjKRNTUMPXpU7yiGcComhsUPPYR3bS3j33iDoJMn9Y5kCEk7dnD1K6+gAI8PHsyPMTF6R2o2Y44cIaWkhA+6dKHcx0fvOB5LCsaEdrZsyeGwMK4+eBCLB1xI5owTcXEsfughfKuqGP/GGwSWlOgdST+qSq/ly7ly+nROtmrFI5deSqYH3TPfoqqKWw8cYGtUFOvkEjFdScGYkaIwLzmZmMpKBnjYIZjncjwhgSUPPoh/eTnj3ngDfw/clGqtr2f4Rx8xYNEiDqWmsvAPf+CUG1xr7DRV5d49e1CA97p394jhQCOTgjGpTTEx5AUFcc3Bgx5xrbKzitu04ev77yeopITxb76JX3m53pGajX9pKeNff53kzZvZNG4cq+68E7uHDQ8NLiigX1ERaSkpFAUE6B3H40nBmJRDUZjfoQNtS0vpJaun/kdh+/Ysve8+go8fZ9ybb+J79oVgbqrF0aNMeuklIvPyWDF1KtuuvNLjfnoPrKtj2p49ZISGssjN9/eYhRSMia1LSOC4vz/XGPEYe53lJyez/N57CSsqYty//42PG59+0Gb7dia+8gqKqrLgkUfI7NVL70i6uH3/fkJqa3mre3ccchyMIch/BROzWSwsbN+eLidO0PHECb3jGE5up06smDaNiPx8rnrrLbyrq/WO1LRUld7LljH6/fc5GRPD3Mcf53h8vN6pdNHlxAlG5+SwqG1bj1rQYHRSMCa3KimJMh8feYr5DTldu/LNlCm0yMlh7Dvv4FVTo3ekJmGtq2P4Rx/Rf/FiDvbty8I//IHq0FC9Y+nCy27ngZ07KfL3Jy0lRe844ixSMCZX6+XF1+3akVpURKIHrppyRlaPHqy6+26ijxxhzLvv4lVXp3ekixJQWsqEhsn8jePH8+0dd2D39tY7lm6uy8ggrrKSd7t3p9ZDj08yKikYN7C0bVuqvby4+uBBvaMYVmavXnx7++20zshg9HvvYa2v1zvSBWmRk8OkF18kIj+f5dOmsX30aI+bzD9bfHk51x46xNrYWLa1bKl3HPEzUjBuoNLHhxVJSQzOzSXaA1ZMXaiMvn1Ze+utxKWnc8X06VhMVjJtGybzVUVh/iOPcKRnT70j6UppOA6m2suLGV266B1H/AopGDexuEMHHBYLEw8d0juKoaUPGMB3N91E4t69jJoxA4vNpnek81NV+ixdyhXvv8+JuDi+euwxTnjoZP7ZrsjOpvOpU8zs0oVSN72J0+ykYNzEKT8/VickMCwnh3A3mch2lf2DB7Puhhtos2sXIz78EMXAh4Za6+oY8eGH9FuyhPR+/Vj0+9977GT+2SJqarh9/352tmjB6rg4veOI3yAF40YWdOiAxeFgnDzFnNfeoUP54dprabd9O8M//hjF4dA70i8ElJQw4bXXaL91KxsnTGD17bd79GT+2abu2YOXw8E7chyMocmSCzdSFBTED3FxXJGVxVcpKVR62DEhjbVr2DAsNhsDFyzAYbWy+tZbwSAb9Frk5HDle+/hW13N8mnTyOrRQ+9IhtG/sJDBBQV80rEjBYGBescR52CMP02iycxPTsbfZmNMZqbeUUxhx6hRbBo3jpRNmxg6ezYY4Emm7bZt2mS+xcL8Rx6RcjmLf3099+zeTVZwMPPbtdM7jjgPeYJxM9mhoWyJjmbs4cMsat9e9gU4YduVV2K12UhdtgyHxcL6G2/UZ9hFVemzbBn9liyhoG1bVkybRnVISPPnMLDbDhwgoqaGF1JTsRvkaVP8Nvkv5Ia+SkkhpK5OrlVuhM1XXcX2kSPpun49g+fObfYTqr3q6hg5Y4Y2md+/P4sefljK5WdSTp7kyqwsvm7ThoPh4XrHEU6QH2/dUHpkJHsjI5mQkcGKtm2xyU9656cobJw4EavNRvc1a7B7ebFx4sRmeZIJLClh9HvvEXX0KBsmTmTHyJEycf0zXg4HD+zaxQk/Pz7r2FHvOMJJ8s7jpualpNCiupohOTl6RzEPReGHa69lz6WX0mvlSvouWeLyTxmVnc01L75IWFERy++5hx2jRkm5/IqrMzJIKi/nvW7dqJZhX9OQ/1JuanvLlmSGhnL1oUOsTUzEIW9azlEU1t9wAxaHQ5uTsVrZOmaMSz5Vuy1bGPbpp1QFBzP/0Uc5Kdf7/qqYigpuOHSIH1q3ZnOrVnrHEY0gTzDuquFa5diKCvrn5+udxlwsFr6bPJn0/v3pt2QJPb/5pmlf3+EgdckSRs2cybGEBOY9/riUy29RVe7ftYs6i4XpXbvqnUY0kjzBuLGNsbHk79vHNQcPsiEmRoZeGsNiYc2tt2Kx27V9Ml5e7Bo27KJf1quujss/+YT227ZxYMAAvps8GYdsnvxNI44epfuJE7zdvTun/Pz0jiMaSQrGjTkUhfnJyTywfTs9iovZGR2tdyRTUS0Wvr39dix2O4PnzsVutbJ36NALfr2zJ/N/vPpqdo4YIaV/DmG1tdy5bx97IyL4JiFB7zjiAkjBuLnvEhK4cf9+Jh08KAVzAVSrlVV33onFbmfI55/j8PJi/+DBjX6dqKwsrvzPf/CuqWHZvfeS3a2bC9K6lyl79uBnt/N29+6oUsSmJHMwbs5msbCwQwe6Hj9OslyrfEEcXl58c/fdZHfpwtC0NFI2bmzU72+/ZQsTX3sNu5cX8//0JykXJ/QpKmJIfj5ftm9PbnCw3nHEBZKC8QCrkpIo9/ZmklxIdsEc3t6smDaN3JQULvv0U9pv3uzEb3LQd/FiRs6cSXFiIl899hgnY2JcH9bk/Gw27t29m5ygIOa2b693HHERpGA8QE3Dtcp9CwtJKCvTO45p2b29WX7vvRS0b8/wjz+m7bZtv/mxXrW1jJoxg9Rly9g/cCCLH3qIGvlJ3Ck3pacTXV3N2927Y7Na9Y4jLoIUjIdY2q4d1VarXKt8kWw+Piy97z6K2rRhxMyZJO3c+YuPCTx1iomvvkrbHTv4YdIk1t5yCw7ZHOiU9iUljMvMZFliIvsjI/WOIy6SFIyHqPDx4Zs2bbgkN5foykq945iazc+Pr++/n+MJCYz64AMS9uw58+9aHjnCpBdfJPTYMZbedx+7hg+XlWJOsjgcPLhzJyW+vnzSqZPecUQTkILxIIvat8ehKEyQC8kuWr2/P0sefJCTMTFcMX06cfv302HzZia89hp2b2/mPfooObIxsFEmZGbStqyM6V27Uil7g9yCFIwHOeXvz5qEBIZlZxMm1ypftLqAABb/7neUREcz5p13GPHhhxQnJfHV449zSibzGyW6spKb0tPZFB3Nhtat9Y4jmogUjIdZ0KEDVoeDcRkZekdxC7VBQSx+6CGKk5LYc+ml2mR+UJDescyl4TgYu6Lwn27dZEjRjZx35lFRFD9gHeDb8PFzVVV9xtXBhGsUBgWxITaWK44c4avkZKrkWuWLVhMczIJHHtE7hmldlpdHr+PH+U/Xrhz399c7jmhCzjzB1ALDVFXtAfQERiuKMsClqYRLzUtJIcBm48ojR/SOIjxccG0td+/dS3pYGMuSkvSOI5rYeQtG1VQ0/NK74a/mve5PNKms0FC2Rkcz4dAhYsvL9Y4jPJSXw8EfduwgsL6et3r0kCsl3JBTczCKolgVRdkBFAMrVVXd9CsfM01RlC2KomxxOBxNHFM0tQ+6d8dmsfDXH34gsrpa7zjCw1hUlT9u20ZqcTH/6daNbLke2i05VTCqqtpVVe0JxAH9FEX5xfpLVVWnq6qaqqpqqkWu6DW8oqAg/jZoEIH19fzlhx8IqqvTO5LwEMG1tTy6dSuXFBQws3NnViQm6h1JuEijmkBV1RJgDTDaJWlEszoSFsYLAwbQurKSpzZswMdm0zuScGOKqjIqO5t316xhQGEhH3XqxIJ27fSOJVzovAWjKEqUoihhDf/sD4wEDrg4l2gme6KieD01leSTJ3lk82YsMrwpXKBtaSkvff89D+7aRU5wMA8PHco8OcjS7TlzQFJr4GNFUaxohfSFqqpLXBtLNKcNsbG836MH9+zcyX3bt/N2796yF0E0iYD6em5OT2fMkSOU+/jwas+erI2Lk+8vD3HeglFVdRfQqxmyCB2taNuWsNpabjhwgFJfXz6TY07ExVBVhublcde+fYTW1rIsKYnPOnaUI2A8jBzxKs74vGNHwmpquObQIUr8/FgiQxjiAsSVl3Pv7t10P3GCg2FhPN+vH4fDwvSOJXQgBSP+S1F4v2dPQurquGv3bkJqa5mfnEy1/NQpnOBrs3HDoUNMPHyYGi8v3u7WjZWJibK/xYNJwYj/4VAUXk9NpX7bNq49eJBRWVl8lZzM8rZtqZfLn8SvUVX6FxYyde9eWlZXsyo+no87daLU11fvZEJnUjDiF+qtVl7v25fF7dtz87593LlnD+MOH+bzjh1Zk5CAQ/Y5iQbRlZVM27OHvsXFZAUH8/igQXJRmDhDCkb8psPh4Tw/eDBdjx3jlr17eWD7diYcOkRa585sjImRlUAezMtuZ9Lhw1x76BB2RWFG584sadMGu/zwIc4iBSPOa09UFE8MHUr/ggJu2rePx376iUPh4XzWuTO7W7bUO55oZj2Li7lnzx5iKytZHxPDjM6dOSmnIItfIQUjnKMobIqJYXOrVlx29Cg37N/Pcz/8wM6oKGZ16UJGeLjeCYWLRVRXM2XvXi4pKCAvMJC/9u/PDvkBQ5yDFIxoFIfFwurERNbHxXHFkSNMSk/npbVr2RATQ1rnzuQFB+sdUTQxq8PBVUeOMDk9Hauq8llKCvPatcMmiz7EeUjBiAtSb7WypH17vk1MZFxGBhMyMuiXn8+axEQ+79iREwEBekcUTaDTiRPct3s3SeXlbG7Zkuldu1IUGKh3LGESUjDiolR7e/NFp04sb9uWSenpjD5yhCFHj7K8bVu+Sk6mXJaqmlJobS2379/PiKNHKfb35x99+7IpOloWdohGkYIRTaLM15cPu3dnSfv2XL9/P2MzMhiRlcXCDh1Y3K4dNbJZ0xQsDSce33bgAH42G3Pbt+fzDh2o9ZK3CtF48l0jmtSxgADe7tOHhR06cNO+fUzev58xhw/zZceOfJOUJOP2BtaupIT7du8muaSEXZGR/KdbN47KnJq4CFIwwiVyQ0J4acAAOpw8yS179zJl1y7GZ2Qwp2NH1iUkyPEhBhJYX88tBw5wZVYWpb6+vNyrF+tiY2U4TFw0KRjhUociInjmkkvocewYN+/dy0PbtjHx0CFmde7M5tat5U1MT6rKZbm53LVvH8F1dXzdpg2zUlKokuFM0USkYITrKQo7W7ZkZ1QUA/PzuWnfPp7ctIn08HA+69KFvVFReif0OPHl5dy3axddT54kPSyMZwcMIDM0VO9Yws1IwYjmoyhsiI1lU+vWDMvJ4Yb9+/nb99+zvWVLZnXpQqYc6e5yfjYbNx48yPjMTKq8vHire3dWJiSgypOkcAEpGNHsHBYLq5KSWBcfz+jMTCalp/PymjX8EBtLWqdOFMjEctNTVQYWFDBl716iamr4JiGBjzt2lGXkwqWkYIRu6qxWFnXowKqkJCYcOsS4jAwG5OfzbWIiX3TsKOdbNZHWlZVM272bPseOkRkSwv/16cOBiAi9YwkPIAUjdFfl7c3szp1Z2rYt16anM+rIEYbm5LC0XTvmJydT4eOjd0RTstbX02vFCu5euxabxcL7XbrwdVKSXLcgmo0UjDCMUj8/ZvToweL27blx/34mHDrEqKwsFnTowJJ27WSzXyMk7N3LJV98QeixY6yLiWFmly6c9PPTO5bwMPInVhhOcWAgb6amsqBhs+bN+/ad2ay5KilJ73iGFnjyJJfMnUvbHTs4FR3Nooce4oMjR/SOJTyUFIwwrJzQUF4YOJCUEye4Ze9epu3cyfhDh9gTHs6h1FSQoZ4zLHY73VevJnXpUnA42DR+PDuGD8fh7Q1SMEInUjDC8NIjI/nLpZfSq7iYm/fuZcRHH9Fz5Uo2jR9PTteuHr9Zs/WhQwyZM4eIggKOdO/OD9ddR7lcWywMQApGmIOisD06mh0tW3JvRAT9Fi9m7LvvUtCuHRsnTKCwfXu9EzY7/7IyBs6bR8pPP1EWEcGye+8lq3t3vWMJcYYUjDAVVVHISE0ls1cvOv7wA6nLlnH1q6+S1bUrP40fz4m4OL0jupzicNB5/Xr6L1qEV10dW0ePZtvo0dhktZ0wGCkYYUoOq5V9Q4ZwcMAAuq5dS+8VK7juX//iUGoqm6+6ijI3PX6mZVYWl86ZQ8ucHHJTUlh/442UREfrHUuIXyUFI0zN5uPDjlGj2HfJJfRauZJuq1fTbutW9l9yCVuvvJIqNzlfy7eykv6LFtH5+++pCgnhm7vu4nCfPh4//ySMTQpGuIW6gAA2TZjA7ssuo8/SpXT6/ntSNm5k9+WXs33kSOrMeoWzw0HKpk0MnD8f38pKdl1+OZvHjqVeTjkQJiAFI9xKVWgo6ydPZueIEfRdsoTeK1bQef16to8axZ7LLjPVPEVEXh5D5syh9eHDFLZpw7rf/Y4T8fF6xxLCaVIwwi2VRUXx7Z13smPECPovWsTABQvovmYNW8aM4cCgQTgMfLOmd00NqV9/Tfc1a6j192fNLbdwYMAA2fcjTEcKRri1E/HxLH3gAVpnZNB/4UKGzp5Nj1Wr+GncOA737m2sN21Vpd22bQyaO5eg0lL2DR7MxgkTqA0K0juZEBdECkZ4hIL27Vnwxz+SuGcP/RcuZNTMmRxr2Kx5tHNn3SfLQ4uKuPTzz4k/cIBj8fF8M20aRW3a6JpJiIulqKra5C/q5eWlBslPXU4LDw/XO4KpxMTEXNTvt6gqI44fZ0pODrG1tWwLCeG9xET26nAPjY/dzm15edycl0edxcL7CQnMb9UKexMWXm5ubpO9lqeoq6vTO4JpHD9+nPr6+l/9hpWCMQApmMa52II5zcvhYHxREXfk5hJZX8/68HD+k5DAkcDAJnn98xl48iR/OHKE2NpaVrRowVtJSZx0wSIEKZjGk4JxnhSMwUnBNE5TFcxpfnY71xcUcHNeHgF2OyuiovggPp5CFx1vH11Tw8NZWQw9eZIsf39eaduWbS7cryMF03hSMM6TgjE4KZjGaeqCOS2kvp5b8vK4trAQi6oyv1UrPo6NpaSJniq8HA5uzM/nztxcVODDuDg+j4nB5uKFBlIwjScF4zwpGIOTgmkcVxXMaS1qa7kzN5erioqos1j4PCaG2TExVF7EhWe9S0t5JDOTpOpqvouI4I2kJIqa6QIwKZjGk4JxnhSMwUnBNI6rC+a0+OpqpubkMPzECUq8vPg0NpZ5rVtT14gnjsi6Oh7MymLU8ePk+fryWps2bIiIcGHqX5KCaTwpGOdJwRicFEzjNFfBnJZcUcE9OTkMKCmhyMeHmfHxLGvZ8pwrvayqytWFhUzNycHH4WBWbCyfxMZSp8MGTymYxpOCcZ4UjMFJwTROcxfMab1KS7k3O5uuFRVk+/szPSGBtRERv9hD06W8nEczM0murGRTWBivtmlDro5nh0nBNJ4UjPOkYAxOCqZx9CoYAFSVS06d4t7sbNpUV7M/MJD3EhPZEhZGSH0992VnM764mGIfH95MSmJNZKTumzilYBpPCsZ55yoY2ckvRGMoCt9HRPBjeDhXHDvGlJwc3ti3jx0hISRVVRFks5EWE8OH8fFUGfi8MyGagxSMEBfAoSgsa9mSVS1aMKGoiJvy8jgSEMCrbdqQ2UwbNYUwOikYIS5CvcXC3Natmdu6td5RhDAcAx0lK4QQwp1IwQghhHAJKRghhBAuIQUjhBDCJaRghBBCuIQUjBBCCJeQghFCCOESUjBCCCFcQgpGCCGES0jBCCGEcAkpGCGEEC4hBSOEEMIlpGCEEEK4hBSMEEIIl5CCEUII4RJSMEIIIVxCCkYIIYRLSMEIIYRwCSkYIYQQLiEFI4QQwiWkYIQQQriEFIwQQgiXkIIRQgjhEk4XjKIoVkVRtiuKssSVgYQQQriHxjzBPAzsd1UQIYQQ7sWpglEUJQ4YC3zg2jhCCCHchbNPMK8DjwGO3/oARVGmKYqyRVGULQ7Hb36YEEIID3HeglEU5SqgWFXVref6OFVVp6uqmqqqaqrFImsHhBDC0znTBIOB8YqiZAFzgGGKonzm0lRCCCFM77wFo6rqk6qqxqmqmgTcCKxWVfUWlycTQghhajKWJYQQwiW8GvPBqqquBda6JIkQQgi3Ik8wQgghXEIKRgghhEtIwQghhHAJKRghhBAuIQUjhBDCJaRghBBCuIQUjBBCCJeQghFCCOESUjBCCCFcQgpGCCGES0jBCCGEcAkpGCGEEC4hBSOEEMIlpGCEEEK4hBSMEEIIl5CCEUII4RJSMEIIIVxCCkYIIYRLSMEIIYRwCSkYIYQQLiEFI4QQwiWkYIQQQriEFIwQQgiXkIIRQgjhElIwQgghXEIKRgghhEtIwQghhHAJKRghhBAuIQUjhBDCJaRghBBCuIQUjBBCCJeQghFCCOESiqqqTf+iinIMyG7yF754LYDjeocwEfl6NY58vRpHvl6NY9SvV6KqqlG/9i9cUjBGpSjKFlVVU/XOYRby9Woc+Xo1jny9GseMXy8ZIhNCCOESUjBCCCFcwtMKZrreAUxGvl6NI1+vxpGvV+OY7uvlUXMwQgghmo+nPcEIIYRoJlIwQgghXMIjCkZRlNGKoqQripKhKMoTeucxOkVRZiqKUqwoyh69sxidoijxiqKsURRln6IoexVFeVjvTEanKIqfoig/KYqys+Fr9pzemYxOURSroijbFUVZoneWxnD7glEUxQq8DVwJdAYmK4rSWd9UhvcRMFrvECZhAx5RVbUzMAB4QL6/zqsWGKaqag+gJzBaUZQB+kYyvIeB/XqHaCy3LxigH5Chqmqmqqp1wBxggs6ZDE1V1XXASb1zmIGqqgWqqm5r+OdytDeBWH1TGZuqqWj4pXfDX7La6DcoihIHjAU+0DtLY3lCwcQCR8/6dS7yBiBcQFGUJKAXsEnnKIbXMOSzAygGVqqqKl+z3/Y68Bjg0DlHo3lCwQjhcoqiBAFfAb9XVbVM7zxGp6qqXVXVnkAc0E9RlK46RzIkRVGuAopVVd2qd5YL4QkFkwfEn/XruIb/TYgmoSiKN1q5zFJVdZ7eecxEVdUSYA0y5/dbBgPjFUXJQhveH6Yoymf6RnKeJxTMZqCDoihtFEXxAW4EFumcSbgJRVEUYAawX1XVV/XOYwaKokQpihLW8M/+wEjggK6hDEpV1SdVVY1TVTUJ7b1rtaqqt+gcy2luXzCqqtqAB4EVaBOwX6iqulffVMamKMpsYAOQoihKrqIod+udycAGA7ei/WS5o+GvMXqHMrjWwBpFUXah/QC4UlVVUy2/Fc6Ro2KEEEK4hNs/wQghhNCHFIwQQgiXkIIRQgjhElIwQgghXEIKRgghhEtIwQghhHAJKRghhBAu8f9yzDQxTV9fAAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_6r = img[:,:,0].copy()\n", + "str_6r = str_6r[295:300,307:312]\n", + "plt.imshow(str_6r, cmap='Reds')\n", + "plt.show()\n", + "\n", + "p0 = [10, 3.3, 5.9, 0.78, 1.7, 0, 0]\n", + "determinar(str_6r,p0,FWHM_xir,FWHM_yir, incer = str_6r.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 7" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[137.08273591 1.97954232 2.26715815 6.20129932 5.63488281\n", + " 0.52724304 128.6534564 ]\n", + "4.66146594576438 5.338749467405802\n" + ] + }, + { + "data": { + "image/png": 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FKR4x6K4pLuZbhYWsjYnhF+PH45BTH8INVmVk8PvZs8lsauLna9YQ3tmpO5I4CXlGEIMqs7WVWw4eZE1MDA+PGyfn24VbbU5K4uGzziKmvZ17N2zA1turO5I4AXlWEIPHMPhWQQGtPj78YfRonFI6QoO9MTH8acYMRjY2csv27brjiBOQZwYxaGY2NDClqYl/pKfTLkvYC402JyXxn9GjWVJUxCVVVbrjiC+QqR9iUFidTpYWFFAWGMg7iYm643g8385O4ktLiS8txe7jQ1l2NrXx8SCjyNP2r/HjSW9u5u7CQg4FBbFX8xbk4n+keMSguKiigtSODn4ycaJc1zlThkFEfT0JxcXEl5SQUFzMiJoalGFgKHX0xsjOwEBKs7JcL9nZNI8YAeqEW9oLXFOt/zhzJr/88EMe2rePb+bk0OjnpzuWQIpHDIIgh4NvFBWxIzycz0aM0B3H9Hy6u4krKztaMgklJQR0dADQ5e9PVWoq+RMnUpWWRlVKCr7d3SQXFpJSUEBqQQGjdu0CoCU8/GgJlWZn0y6/0R+n3deXB8aO5akdO/j5/v18b+JEmWVpAlI8YsCuLS4m1G7nmexs+Q38iwyDsIaGz5VMdFUVFqcTgIaYGArHj6cqNZWK1FQaY2KOO53W4+/P/qlT2T916tHRUUpBASkFBWTu28f4rVuPfq8jJVSWmUm3bDcBwKHgYB4ZOZIH8/K48+BB/pCdrTuS15PiEQMS19nJFaWlfBQfT6H8xo3Nbiehqork8nKSy8pIKi8npL0dgB4/P6pSUth09tlUpqZSnZpKV2DgmR1AKZqio2mKjmbnnDngdBJTWekqosJCxm/eTM6nn+JUipqkJEqzs9kTG0tJYiIOL57wsSYmhlFtbVxbXk5+SAjvxcXpjuTVpHjEgNxaWIhTKZZlZOiOokXo4cOukukrmrjqamxHRjORkRzMzKQ+K4vKtDTq4+IwBvs0j8VCbVIStUlJbF20CKvDQXxJydEimr52LTOdTuxWK6VJSRSmpXEwNZXK+Hivm+7+1/R0stva+F5BAYcCA8mTX5S0keIR/Tbm8GEW1dbyYno6DV6wt461t5e4qipSystJ6iubsJYWAHpsNioTEvhs1izKkpMpT0qivW8771A3PsH12myUZ2ZSnpnJBsCnq4uwnTvJLC4ms6SE8z7+GIAuPz8OpaRwMDWVg2lp1HrBRIVepfj5mDE8m5vLL/bt45tTptAsK6VrIcUj+scwuD0/nwZfX15LSdGdZsgEdHQwY8sWMg8dIqGyEp++O+GbwsIoTU6mLDmZsqQkqmNjcZpwPTq7vz8HsrI4kJUFQFB7OxklJWSWlJBZXMzYggIAWoKCONRXQgfT0mgOC9MZe8i0+PjwwLhx/HnHDh7cv58fTJggszA1kOIR/bKgtpaxLS38bswYuobpSsCJFRVc/8orBHV0UJqUxJbp0yntG820hoTojtcv7UFB7B47lt1jxwIQ0dzsGg0VF5NVXMzkffsAaAgP52BaGoVpaewfOZJeE5ZqfxUGB/PbkSP5SV4etxcV8afMTN2RvM7wfMYQQ8qnt5fbCgs5GBzMivh43XGGRFZBAV97/XXagoJ47uabaYyK0h1pSDSFh7N18mS2Tp4MhkFsXd3R03IT9+1jxo4dlCQm8vJXvuKxZXsiK2NiGNXaytUVFeQHB7MiNlZ3JK8ixSPO2FfKy4nv6uKHOTk4h+F1gck7dnDpO+9QExvLS9ddR1twsO5I7qEUNTEx1MTEsGHGDCy9vUzYv5+vfPAB3/nb33j5iisoTUrSnXLQPJORQXZbG/cWFFAUGEjBMCpWs5OTm+KMhPX0cH1RERujosiNjNQdZ3AZBmd98glfefttitPS+NuNN3pP6ZyA02pl5/jxPP2Nb2D38eG2l15iRm4uDJMtpnuV4sExY2j28eGX+/YRZrfrjuQ1pHjEGbmhqAh/p5Nnh9lNeMrp5MIPPmDJ6tXsGj+el667jh5ZXgWAmpgY/nzTTRxMS+PyDz/kK++/j83h0B1rUDT7+vKTsWOJ6OnhZ/v3Yx0mpWp2bj3V5nQ66dS4OZO/xim/wZp/cx4xCEvZJLS0cElFBasyMuhITeVMvmOG5vt8lixZctKPqe5usn/xC0Zs2ULFtdfSdscdLBnEmU6Zmi9eNzQ0DMr36b3lFur+9CemP/ss451Oyv7wBxyncSPm8uXLB+X4/fXpp5+e8uM14eE8YxjcvWMHd1VW8vdx4wbt2BbNM+asGieFHDx48KQfkxGPOG3X79xJt83G6+PH644yaKytrYz9wQ8YsWYNRXfdRcmdd8oK0CdjtVJ3992U/eEP+B48SMbVVxO4bZvuVINidUoKy9PT+crBg5xVUaE7zrAn/8PEaRlXU8PUykreGjOGlmFys6hvXR3j77iDkN27yX/wQaquuUZ3JI/Qes45FL3yCr3BwaTecgsRL788LK77LBs3jr2Rkdy1Ywdphw/rjjOsSfGIL6WcTr6+Ywd1gYG8P3Kk7jiDIqC4mAnf+hZ+1dXsf+wx6s85R3ckj9KTlUXRq6/SNncu8b/6FQkPPIDq7tYda0B6LRYemTaNVh8ffrxlC8E9PbojDVtSPOJLzS8uJr25mZcnTcI+DG4kDNm9m/Hf/jbKbmfvn//M4WnTdEfySM7QUMr+9Cfq7riD8LfeIu2GG7BVVuqONSCH/f15ZPp0orq6uHfbNizDYCRnRlI84pR8HQ6+tmcPBZGRfJacrDvOgEWsX8/Y734XR3g4u//yF9qHyQhOG4uFuu98h9Inn8S3uNh13WfzZt2pBiQ/IoJnJkwgp66O6/LydMcZlqR4xCmdX1BAZGcnL02e7PGLSMa8/Taj77+fjsxMdj/9NN0JCbojDRttZ59N0auv0hsRQepttxH5j3949HWflampfJCaylUFBUyqq9MdZ9iR4hEnFdTdzWX795MbH09edLTuOP1nGCQtW0bWI4/QPGMGe598EkdEhO5Uw05PRgZFr7xC64IFxP3mNyT8+McojbdPDNTz48ZRGhLCPbm5hHr49SuzkeIRJ3VZXh4BdjuvTJyoO0q/qd5eLnrnHVKef57aCy8k75FHcMrOnEPGGRxM+RNPUHvnnYQtX07aDTcQ2tioO1a/9Nhs/G7KFILtdu7ascOjR3BmI8UjTiiyo4PzCwr4JDWVsvBw3XH6xWa3c9VrrzF12zbKbryRwvvvxximK2mbisVC/e23U/bnP+NbXs43nnySlMJC3an6pSQsjBfGjmVGTQ0XFBfrjjNsSPGIE7pyzx6UYfDvCRN0R+kX/44ObnjhBUYdOMB7F15I2dKlHn+NytO0LVhA0b/+RUdwMFc/9xzT163zyFHD8vR0tsbEcPPevaT0bfwnBkaKRxwnoaWFhcXFfJSZSV3fLpqeJLS5mZuXLSO+spLXr7qKrTNn6o7ktXpSU/nnnXdSMG4ci959l0teeQUfT7s/Rin+mJNDh48PP9i2Dd++zQBF/0nxiONcs2sX3VYrb/VtFuZJYmpquOW55whpbeWlb3yD/YO47pbonx4/P/779a/z8fnnM3rXLq5/6inCBmn9OHc57OfHEzk5pLW2cmPfZnmi/wZcPEopq1Jqu1JK70qAYlBk1dczo6KC5aNGedzSOKnFxdy0bBkAf7/lFkrS0vQGEv+jFJsWLeL1m28mtLmZbzz5JGn5+bpTnZHtMTH8NyODi4uKmFpTozuORxuMEc/dwP5B+D5CN8Pgul27OOznx7ujRulOc0ZG79vH9f/4B60hISy77TZqZUdJUyoaNYoX77qLtrAwrly2jBlr13rUdZ8Xx4zhUGgod2/fTkRXl+44HmtAxaOUSgIuAp4bnDhCp/E1NYytq+M/Y8fS5eOjO85pG7tnD1e99hpV8fH87ZZbaPHQWXjeojkqin/ecQf5Eyaw8P33ufC11zymfBxWK49NnYp/by937tihO47HGuiI5w/ADwHnyT5BKbVUKbVVKbXV8JAfLm81tbKSbquVVZr3jzkTyunk7JUrqYqL4x833khXYKDuSOI02P38ePu66/h08WLG5+YyY9063ZFOW3lICK+MHMm02lrSZRXrful38SilLgZqDcM45YYchmE8axjGNMMwpimZzmpqWQ0NHIyMxOFBC4GOyssjsqmJT886C4cHjdIEoBSfnnMOeRMmMP/990k+xcZhZrMiLY0uq5WLiop0R/FIAxnxzAUuVUoVA68CZyul/jkoqYTb2Xp7SWtupjAqSneUMzJ7wwaaIiLIGzNGdxTRH0rxwVVX0TRiBJe+/DLBHnKfTLuPD2uSkphfXk6ILKdzxvpdPIZh/NgwjCTDMNKAa4DVhmF8fdCSCbdKa2rCx+mkwIOKJ7GsjOSyMjbNmoUhu4Z6rB4/P9664QZ8enq49KWXsHjIfTLvpqfj53Rybmmp7igeR/63CgCy++6r8KQRz6zPPqPL35/tOTm6o4gBaoiN5YMrrySpuJiF776rO85pKQsNZeeIEVxQXIzFedLL3OIEBqV4DMNYaxjGxYPxvYQeWY2N1AcG0uQhC2iGNzUxZt8+tk2dit3PT3ccMQjyJk1i69y5TPv0U0Z7yIyx5enpRHd2MqO6WncUjyIjHgG4RjyFkZG6Y5y2GRs3YijFZlkOZ1hZe+GFlKemcv4bbxDlATdpbo2LoyYwkItlksEZkeIRhHV2EtPe7jHXd/w6O8nJzWXv+PG0hoXpjjO0Ojuho0N3Crdx2my8ff312H19ufwf/8DX5DdpOpXivbQ0JjQ0kCpTq0+bFI8gq2+/FE8pninbtuHX08PGOXN0Rxk6hoH/a68RPXky0RMmEPLDH2Lbu1d3KrdoCwvj7euuI6KhgfNff930N5euTEmh22rlItk24bRJ8QiyGxpwKEWRB+zKaentZcamTRSlp1MdH687zpCwVFYS/vWvE/bd7+IYPZruiy8m4LXXiFq8mIiLL8b/tdfA5COBgSrLzGTdeecxevduRu7erTvOKbX5+rI2KYmF5eUEe9rK25pI8QiyGhooCQ/H7gGbpI3du5ewlpbhOdoxDPxffpmoBQvw3bCBll/+kqY336TliSeo276d1ocewtLcTNh3v0t0Tg7BDz6I9dAh3amHzJazzqIuLo6F772H1W7XHeeU3k1Px6+3l3NkavVpkeLxcsrpJLOx0TOmURsGszZsoG7ECAqysnSnGVSW8nLCr72WsO9/H8f48TSsWUPnbbdB3/1JRkQEHUuX0rB+PY2vv07P3LkEPvccI+bMIfzqq/F7910w+ZPzmTKsVlZdcgnhTU1M++QT3XFOqSQ0lN1RUVxQVITF5KcGzUCKx8sltbQQ4HB4xPWd1OJiEqqq2DR79tEnZI9nGAS8+CJRCxfis3kzLb/+NU1vvEHvybZ0UAr7vHkcfu456rdto+2++7AdPEj4rbcyYvp0gh59FEtlpVsfwlAqzcqiYOxYZq9eTZDJVzVYnpFBbGcn02Vq9ZcaJv97RX950o2jszdsoD0oiF2TJumOMigsJSWEX3UVoT/8IfacHBrWrqXz5ptPu1SdsbG0f+971G/aRPMLL+AYO5agxx9nxPTphN18M75r18IwuLFxzUUXYe3tZf4HH+iOckqbY2OpDQiQ9dtOgxSPl8tuaKDV15fq4GDdUU4pqq6Okfn5bJ0+3fMXA3U6CVi2jKhFi/DZsYOW3/6W5tdew5mS0r/vZ7PRfd55NL/8Mg0bN9Jx++34bt5MxDXXEDVnDlHLlmFtahrcx+BGzSNGsG3uXCZs20ZcebnuOCfltFh4Py2NSfX1pJh8dKabFI+Xy2pocJ1mM/nK4TM3bsRhs7Fl+nTdUQbEWlxMxFe/Suj992OfOdM1yrnhhkH7++9NTaXtgQeoy83l8NNP44yLI/axx8hetIiE++4jIDfX9NOTT2TD2WfTHhTE2e+8Y+r8H6Wm0m2xyKjnS7h9GpNT49Bf57FtmmeMhYSEHPe+gJ4eEltayM3KOuHHB9OIESP6/bX+ra1M3rmT/BkzCExLoz877kydOrXfxx8oPz8/6O2FJ5+E++8HX19Ytgy/m24ieigL/9vfdr3s2YPlL38h/MUXCV++HCZMgNtvh+uvh9DQoTt+n8LCwkH5PgU33cTkP/+Zs+vrqTzrrNP+uv373btB8qbMTBYVFfHOnDk0aF6Cyqpxi5PSU8zwkxGPF0urq8MCHIqJ0R3llMavX4/Nbmfn4sW6o/TPgQMwfz5873tw9tmwdy/cfLP7Rpnjx7tKr6ICnn0WbDa44w5ITHQV086d7skxQKWLF3M4PZ2xL7yAxcRbEawcMwY/h4OzCgp0RzEtKR4vllFbC0BRdLTmJCdntdsZv24dJePG0RQXpzvOmentxfr44zB5MuzfDy++CO+843rC1yE4GL75Tdi2DTZtgiuvhBdecOWbM8eVz8w3plqt7Ln1VgLr6sh66y3daU6qLDKSvNhYzs7LQw2DyR1DQYrHi6XX1lIZHk6niVd3Tt+5k8DWVnYuWqQ7yhlR+/fjs2gRth//GM47zzXKGcRrOQMLp2DGDPjb31yjoMcfh8ZGuPFGVyneey+Y9Lf1hgkTqJw9m6w33sC/b0amGa0aM4aYtjZyqqp0RzElKR5vZRhk1NWZerQDkL11K23h4VSMGqU7yulxOLA++ig+M2eiDh7E/uKL8OabYNblfSIj4Z57XCOyVatg8WJ44gkYORLOOQf+8x/TTcned9NNqN5exrz4ou4oJ5WbkkJjYCDnm7TAdZPi8VLRra2EdHWZ+vqOX1sbKXv3Ujh1qkfsMKr27sVnwQJsP/0pzosvpic3F+fVV5tjlPNllHJdf3rtNSgthV/8wnVt6qtfdRWTiXTExXHosstIXruW8AMHdMc5IafFwurRo5lYU0OirFp9HPP/bxZD4sj1HTMXT+aOHVidTvLNPoXabsf68MP4zJqFKi3F/vLLOF5+GWJjdSfrn/h4eOABOHTIVTpPPgnPP6871efkX3klXRERjH/+edNOr/545Eh6LBbOk1HPcaR4vFR6bS1dNhuVJl6ROnvrVppiY6lPStId5aTUzp34zJuH7aGHcF5+OT3bt+O84grdsQaHzQa/+53rGtXtt8Onn+pOdFRvYCD7v/51Ig8cIHHdOt1xTqjN358NKSnMLykhQFat/hwpHi+VUVdHyYgROE16Ciu4qYnEggLXaMeMp6p6erA+9BA+c+eiqquxv/Yajn/8AwZwv5IpWa3wyiuQlgZXXAFlZboTHVV29tk0Z2Yy9oUXsJp0Nt4H2dn4OxwslBtKP8eczzpiSPk4HCTX15v6NFvW1q0AFGi88fNkVG4uPnPmYHv4YZxXXeUa5Vx6qe5YQyciAt5+2zXV+vLLzbMjqsXCnltvJaChgaw339Sd5oSKIyPJGzGC8woLUSY9JaiDFI8XSmlowGYYpi6e7K1bqUlNpcVMGbu7sf7kJ/icdRaqsRH7f/6D429/c80MG+5Gj4aXX4bt2+HWW01zXaVx3Dgq5s4l8z//wb+uTnecE/ogO5u4tjYmy9Tqo6R4vFD6kRtHzfSkfoyIqiqiy8tNNalAbdmCz6xZ2H77W5zXX++asXbhhbpjuddFF8HDD8Orr8Ijj+hOc9S+m25CAWNNOr16S1ISDQEBMsngGFI8XiijtpaG4GAOB/Zn1bOhl711K06lKJwyRXcU1yjn/vvxWbAA1dJCz9tv43j2WQgP151Mj/vug2uvda05t3y57jQAdMbEUHj55SStW0dEXp7uOMfptVhYmZnJ5Opq4mXVakCKxytl1NVxyKw3jhoG2Vu2UDFqFJ1hYbrTYP31r7H9/vc4b7qJntxcjHPP1R1JL6XguecgJweuu85146kJFF5xhWt69XPPme6GV4BVmZnYZWr1UVI8Xiaso4OotjbTXt+JLS4mrKGB/GnTdEdB5eZifeQRem+/HcdTT4EJitAUAgPhrbdcf156KZhgr5/egAD2feMbRBQUkLR2re44x2npm1q9oLiYgGG2RXl/SPF4meS+9a1KTDriSd+5k16rlaLJk3VHwfrIIxAVhePBB3VHMZ/kZHjjDSgpcZ1+M4HyhQtpys5m1Cuv6I5yQh9mZxPgcDDrFNsFeAspHi/Ta8Z7Yo6hDAPDYqFH8z4mAKqxEWPUKBnpnMzcuXDBBbB+ve4kLhYLlXPnElRbi09rq+40xzkUEUGX1UqSXOeR4vE2bX1P6MGdnZqTnFh3QAA2ux2rGU5HWK2uDdzEyeXkuNZ0a2/XnQSA1uRkAILNuEW2UtQFBRFtkr8rnaR4vEyrvz8AISa907u7b6adrxmK0Wo15YVqU8nJcd3Ts3u37iQAtPXtdRRixuIB6oKCiJHikeLxNm0mL54jp9j8zFI8MuI5tSPX4rZv1xrjiI6YGHp9fMw54gFqjxSPSW7A1UWKx8s4rFY6fHwINmnxdPcVj68JlmUxpHi+XEqKa0kdkxQPVivtCQnmLZ7gYALtdoK8fNFQKR4v1BYQQKgZRhQn0NN3qk1GPB5CKdfpNrMUD9CalGTqU22A159uk+LxQi3+/qYf8UjxeJCcHNc1HjNMCAHakpIIrK3FYsJRRa0UDyDF45Xa/P1Ne43HTKfapHhO0+TJ0N3tmt1mAq1JSSink+DKSt1RjnOkeLx9ZpsUjxdqNXHxyKk2D5ST4/rTJKfb2kw8pbrT15c2X19i2tp0R9FKiscLtQYEuE61mXBmjcPHh16r1RzFY7GgpHi+3KhR4O9vnuJJSMBQypTFA8fMbPNiUjxeqM3fH5vTac7teJWiOyBATrV5EpsNJk40TfE4/fzoiIkxbfHITaRSPF7J7DeR9gQGmmPEI8Vz+nJyYMcO04yi20w8s622r3i8eUdSKR4vZPbi6Q4IkJULPM3kydDc7Fo01ATakpIIrqgw5b9fbVAQvk4n4Sb9/+cOUjxeqPXIem0m/cHvCQiQEY+nMdkEg9akJKw9PQSacDvsuuBgAKK9eIKBFI8XOrpsjhme3E+gOyAAP7nG41kmTACLxTTF05aUBJhzZpvcywM2dx5MKYXN5tZDfo7VatV2bItFb8f3HvME2uzjA0BQZ+fn3j+U7Gdwc2Gnvz++nZ1n9DVfxtmPUy6GxQK9vf36Wq8TGAijR5+weHT87LenpAAQUlGB0rgVyIkee0NICACxHR1D/nej8/n2VH/vMuLxQnabjS6bzdTXeORUmwcy0dI59tBQukNDTTnisVutNAUEyKk24X1a/f3Nu16bSfbkkUVCz9DkyVBRASa5rtKWnExwWZnuGCdU6+VTqqV4vJSZVy84ul6b7nxSPGfmyASDHTu0xjiiLSmJEJMWj7fvyyPF46U8oXi030QqxXNmTDazrS0pCd/WVlPO3qwLDiaqowOrl14/lOLxUp5QPNqv8/RNLhCnKTLStT+PWYqnb822+OZmvUFOoDYoCIthEKX7lytNpHi8VKu/PyHd3aa50/xYpikeq9V1d7kJ/45My0QTDI5MqY4/fFhzkuN5+708UjxeqtXfH5/eXvwdDt1RjmOm4gFk1HMmJk+G/HwwwRNqZ3Q0vb6+piweb98eQYrHS5l52RwpHg+Wk+MaIe7erTsJWCy0JSWZ8lRbY2AgvUp57fYIUjxeSornNEjxnDkTTjAw44jHabHQEBgoIx7hXcxcPKbZk0eK58wlJ7smGZioeKLa2vA14SnluqAgGfEI72Lm4jmyJ48UjwdSylwTDJKTsQCxJhz11AYHy4hHeJeWvuIx4z0OYI5lcwwpnv6ZPNl1jUfzyhPwvynVCSYsnrqgIMK7ukw5GhtqAyoepVS4Uup1pVSeUmq/Umr2YAUTQ6vHx4duq9W0y+aYoXg4soCjFM+ZycmBnh7Iy9OdhPaEBJxKEWfG4jkypdoLRz0DHfE8AXxgGMZoYBKwf+CRhLuY/SZS7cUjI57+MdEEA6ePD3XBwSSYcGbb0SnVXnidp9/Fo5QKA+YDzwMYhtFjGEbzIOUSbtAmxXNqUjz9M2oUBASYongAqsLDTT3i8cY12wYy4kkH6oC/KaW2K6WeU0oFffGTlFJLlVJblVJbZV8Tc2kMCiKxudmUe7+3h4YS0tSkdb02IzISAMvOndoyeKT2dvDzM88q1X5+pjyl3OLnB+BaQcTLDKR4bMAU4GnDMHKAduBHX/wkwzCeNQxjmmEY03RvhiY+b1N6OlHt7YytrNQd5Tj7ZszAx25n/MaN2jI4L7oIZ1YWPvffDw0N2nJ4nIcfhuZmuPtu3UkAyKqtpSg6WneM44T2Fc7hvok+3mQgTVAOlBuGsanv7ddxFZHwENtTU2n182N+fr7uKMepT0qiLCuLSevXo3Sd6vL1xf7kk6jSUvzOPx+qq/Xk8CRFRfD44/CNb8D06brT4NfQQFxLCwfi4nRHOU5E32i+qe+GaW/S7+IxDKMaKFNKjep712Jg36CkEm7hsFrZkJVFTmkpISY8FbF94UJCm5rI2rVLWwbnggX0vPkmqrgYv3POQZl0fxfT+OEPwWZzjXpMIGrPHgDyTFg8kX3/5xqleM7YXcBLSqldwGTAHD9t4rStGzkSm9PJ3MJC3VGOUzR2LM0jRpCzdq3WHM6FC+l55x1UfT2+S5agDh7Umse01q2D11+HH/0IEhN1pwEgavduOnx9Ke27XmcmEX3F0xQYqDmJ+w2oeAzD2NF3/WaiYRiXG4bRNFjBhHtUhYdTEBPjOt1mtkkGFgvbFywgvqSE+EOHtEZxzppF93vvoTo68FuyBLVPBvef43TC974HSUnwgx/oTnNU1O7dHIiNxTDh9eXIjg4cSnG4b5KBNzHfv4Zwu49HjiSupYWRNTW6oxxn34wZdAQFMX3lSt1RMHJy6F6xApTC77zzULm5uiOZx4svQm4uPPIImOQ3eP+GBoIrK015fQdcI57mgABTluJQ875HLI6zNT2dDl9fFhw4oDvKcRx+fmxfuJD0ffuINsH1FWPMGLpXrsQICsLvwguxfPaZ7kj6tbXBj38Ms2bBtdfqTnNUZN/WDGa8vgMQ1dHhlRMLQIpHAD02GxszMphWUkKQCe8p2HXWWXQFBDDjo490RwHAyMigZ+VKjJgYfC+5BMuaNboj6fWb37hm/D3+uGuRUJOI2rMHe1AQZSa8vgOuEU+jSUaH7ibFIwDX6Taf3l5mm/DCeY+/Pzvnzydr1y4iq6p0xwHASEqie8UKjPR0fK+4Asu77+qOpEdJCTz2GFx3nWvEYyIjdu2iYdw4057KipARj/B2ZVFRFI0YwfwDB8w3yQDYMX8+PX5+prjWc1RcHN0ffIAxbhy+116L9Y03dCdyvx/9yDXK+c1vdCf5HP/6eoKqqmiYMEF3lBPyt9sJdDi8cio1SPGIY6wbOZKk5mYyTLLUybG6goLYNXcuI3NzCTdTvqgout97D+eMGfjceCPWF1/Unch9NmyAV1+F//s/1wZwJnLk/h2zFk+kF0+lBikecYxNGRl02WwsMOFKBgDbFy3CabMxzUyjHoDQUHr++1+cixbh++1vY33mGd2Jhp7TCffcAwkJrptGTSZq9256goJoSUvTHeWEjqxa0CDFI7xdl48Pm9PTmVFUhH9Pj+44x+kICWH37NmM3rKFkMZG3XE+LyiInn//m96LLsL3+9/H9thjuhMNrZdfhi1b4Ne/hqDj1gbWLmr3bhrHj//fCuMmc3TEI6fahIB1o0bh53AwU/MNmyeTe/bZoBRTV6/WHeV4/v70vPwyjquvxucnP8H285+b8nrZgLW3u67tTJsGX/+67jTH8a+rM/X1HXDdPAreuVwOSPGILzg0YgRlERGmPd3WFh7OvhkzGLdxI0Em3GMFHx/szz+P48Yb8XnkEXzuu2/4lc9vfwsVFfCHP/xvl1YTMfv1HXBNpW7z9cVus+mOooXbH7W3bo3Qrfn+mKam01/N6IOkJL65ezfhRUUUhYcPyvErKioG5fsAvDt+PGM3bmTkO++wfNGi0/qaPHdvw3zXXST29BDzpz9Bdzc8/bS20z6dg7kAbHk5/o8+Su9Xv4p9yhQ4je9dX18/eMc/DSO3bKE7KIhDwcFQX4+hsfhPtgdZREcHjQEBJ/34YHE4HEP6/U/lVH/v3tkC4pQ+Tk6mx2LhnJIS3VFOqDE8nO1jxzJr506CNG4Ud0oWCxX33kv1rbfCX//q2ibAbtedasB8fvYzcDpx/PKXuqOcVNyBA9SMHGnK0dgRkX3F463M+y8jtGn39eWzhATml5Xhp/E3plNZM3MmNrudedu26Y5yckpR9Z3vuLYIePlluPpq1+jHQ6nNm7G98gqO734XIzVVd5wTCmxoILS2lqrRo3VHOaWIzk4pHiG+6KO0NIIcDuYM4imywVQXFcXuUaOYm5tLQFeX7jin9uMfwx//CG+9BZdeCmYdpZ2KYeBz330YsbE47r1Xd5qTiutbb7DaxMVjcToJ7+722uVyQIpHnMTeqCgqgoNNe7oNYNWsWfj39DDHE1aJvusueP55+OgjOP98aGnRneiMWF9/HeumTdgffBBCQnTHOam4vDy6g4JoSkrSHeWkwru6sBiG106lBikecTJKsTI1lTGNjSSZ9EmyOiaGvVlZzNu2DT8T3nd0nFtucZ1y++wzWLIEzHYv0sl0dmL7f/8P56RJ9Jpw+vSx4vLyqB41yvTXd8B7p1KDFI84hTUpKdiVMvWoZ/WsWQR1dTFrxw7dUU7PNdfAG2/Azp2wcCGYcA+kL7I98QSW8nLsjz5q2hsyAYIaGgitqzP1aTbw7i2vj5DiESd12M+PLfHxLCwrw9bbqzvOCZXFx3MgLY35W7Zg85RZY5deCu++CwcPwvz5YIJ9hk6qshLb735H7+WX4zzrLN1pTimub8q8FI/5SfGIU1qRlkZoTw+zTLIdwYmsmj2bkI4OZvRt/OURliyBDz907WNz1lmuEjIbux2fn/wEHA7sv/qV7jRfKi4vj66gIJoSE3VHOaXIzk7sFgutXrjl9RFSPOKUdkVHUxcQwFnl5bqjnFRxUhKHkpJYuHkzVpNO/z6hefNg9WpobXWNfPbv15fF6UTl52N95RV8fvAD/BYuxD821jV9+s47MdLT9WU7TXEHDlBj8us7cMxUahNtmudu5v4XEtoZSrE5Lo5JtbWmvacHXKOe8NZWpu7dqzvKmZk6FT7+GHp7XeWzffvQH9MwoLwcy1tvYfvpT/G96CL8ExPxnzwZ31tvxfrCCxg+Pji+9S26//lPHA8+OPSZBiiovp6QujqqxozRHeVLRXZ2evWMNtCwZI7wPJsSErioqIhJtbVsTkjQHeeEClJTKY2PZ9GmTWydMAGnyX/r/Zzx42H9eli8GBYtgvffh9mzB+/7NzZi2bbN9bJ1K5Zt21B9kxoMmw1jwgR6r7oK59SpOKdNwxg92tSTCE7k6PWdUaM0J/lykR0dFEVE6I6hlRSP+FL7oqJo8/FhRnW1aYsHpVg1axY3v/kmk/fvJ3fcON2Jzkx29v/K55xz4J13XCV0ptrbXaOmzZtd2xZs2ULAMdePnKNG0bt4satkpk7FmDgR/P0H8YHoEXfgAF3BwTSb/PoOhkFEZyfbzPr/yE2keMSX6rVY2BYby/TqaixOp2lHE/szM6mMjmbRxo1sHzMGw6Q5Tyo11VU+S5bAhRe6pl1feOHJP99uh927jxYMmzfD3r2uTdrAtSvo9OnYb7rJVTQ5ORAW5p7H4maecP8OQJDdjn9vr1evWgBSPOI0bY6PZ0F5OaMbG9k3YoTuOCemFKtmz+aGt99mfEEBuz3gtMtx4uNd13zOOw8uv9x1w+mVV7rKpKDg8yWzYwccWS4oMhJmzHB9zfTprpe4OAAcg7k6tQkF19cTUl/P3vPO0x3lSx3ZeVSu8QhxGnJjYrBbLMyqrDRv8QB7srOpiYxkyYYN7MvMpNcT9zsZMcI12+3CC10Li86aBfv2wZH9hwIDXZMS7rjDVTbTp0N6utfOkorbtw8w//078L97eBq8vHjMPS4VptHl48PG+HjOLSkhpr1dd5yTMiwWPjjrLOLr67n+nXewmPTG1y8VFua6z+eKK6Cnx7XiwfPPw65drgJatw4eewy+9jXIyPDa0vFrayPnrbdojo+n2QOum0yrqMBusVAZGqo7ilZSPOK0vTBuHE6l+NbOnabeVXPvyJG8tXgx4wsLuea991BDvNnWkAkOhtdfh61b4ZlnXGu9TZgAnjiKGwqGwdxly/BvaWHd0qWmv74T3N3NguJiPklNpc2Lbx4FKR5xBhoCA3l5zBim1NYyp7JSd5xT2jBlCu/On8/kvDyu/PDD/11wF8PGqDVrSNm+nW1XXUVjWpruOF/qnMJC/Hp7edcTrz0OMikecUbey8igMDycW3ftItDkK0J/PHMmK+bMYfqePSQ98oipR2nizISXlzP91VepGD+efeecozvOl7L19nJeYSE74uIoH6YzC8+EFI84I06leHryZMK6u/m6ziVeTtPKOXNYM2MG0f/+N4mPPy7lMwxYe3pY8Mwz2AMCWH/bbaY/xQYwt6SE8K4ulstoB5DiEf1wKDycdzMzOa+oiFFm31NGKd6fP5/aa64h5p//JP7pp3UnEgM07V//IqKigk9uu40uTxg9GAYX5edTEhbGnthY3WlMQYpH9Msro0fTGBDAt3fswGr26ydKUXHvvdR/5SvEPfccsc8/rzuR6Kfk7dsZs3o1e889l4oJE3THOS0Tq6tJOXzYdW3HS2cffpEUj+iXLh8f/jpxImktLVxixiX9v8hioez++2m84AIS/vxnol96SXcicYYCm5qYu2wZDSkpbLvySt1xTtvFBw7Q6O/PpykpuqOYhhSP6LfN8fFsjI/nmrw8U9/bc5TVSsnPf07T4sUkPfYYUa+/rjuROE3K6WTeX/+KtaeHj7/9bZw+ProjnZbk5mYm1tTwYXY2vR628OpQkuIRA/LchAkecW/PUTYbJQ8/zOGzziLl4YeJfOcd3YnEaRj//vsk7N/P5uuvpyU+Xnec03bRgQN0Wa2szMzUHcVUpHjEgHjSvT1HGD4+FD36KC0zZ5Ly858TvmKF7kjiFEYcPEjOf/5D0fTpFJh8++1jhXV0MK+0lLXp6bR7+Q2jXyTFIwbsvYwMDoaFecS9PUcYfn4U/f73tE+aRNoDDxC2dq3uSOIEfDo7WfCXv9AREcFnN93kURfnF+flYXE6eX/kSN1RTEeKRwyYUymeysnxmHt7jnAGBHDwiSfoGD2atPvuI2TDBt2RxBfMevFFgurrWfetb9HjQVsJ+NrtLMrLY2tiIjUhIbrjmI4UjxgUh8LDeS8jwzPu7TmGMziYg3/6E10ZGWT84AcEb92qO5IALHY70159lcyNG9l52WXUZmfrjnRG5h48SHBPj9wwehJSPGLQvDxmDI3+/p5xb88xekNDOfjUU3QnJpJx990E7typO5JXiygt5eKHHmL8hx9yYOFCdl1yie5IZ0Q5nZy3dy8HR4wg38RbiOgkxSMGjcfd23MMR0QEhU8/jT06mqy77iKgb48X4T7K6WTCu+9y8UMP4d/aykf33MNnN97ocTvJTi4rI7a1lQ/Gj/eoa1Lu5Nb11Q3DoEfjxefu7m5tx25tbdV2bIDq6mq3HOdti4U5ERF8bf9+/uvjQ5W/PwA+mu+7+Oijj07r8z65/nque+YZUpcu5ZWlS6kfhKm7ZWVlA/4eA9GpeQfS/adx3S+yqYmvvfceaRUV7Bo1ijfPPZcOX18YhGuG7W6+x+yc3bupDQxkfVQULS0tbj32Fx0+snmgBr2n2AvLs36VEB7h92lpOIH/KyryjHt7jtEaHs6r3/wmDpuNrz33HJF1dbojDW+GwcwdO7jn738npr6eVy6+mJcuvZQOD92hM7OxkTH19byXnY3Tw0Zq7iR/M2LQ1fr58WxyMrMPH2axB000OOJwVBT/WroUgK89+yxhDQ2aEw1PIW1t3PzGG1yxYgWlCQn84ZZb2DF2rEefnro4P592Hx9Wp6frjmJqUjxiSLweF0deUBD3FBcT7HDojnPGGqOj+ddtt2FzOLj+6aeZ/NlnWO123bGGjYl5eXxv2TIySkt5a8kSnr/6ag57+LTjEe3tzCovZ2VGBl0esqSPLlI8Ykj0KsVv0tOJsNv5tuZrHP1VHx/Pq9/8Js2RkZz71lssffRRpnz6KTYpoH4L6Ozkmnfe4fq336YhIoInbryRz6ZMwfDgUc4RFxYUYADvZ2XpjmJ6snm7GDIHgoN5PS6Oq6qryW1ooCAqSnekM1aXkMDLt99OysGDzF25kiVvv82s1avZvGABO2fNwu7rqzuix8guKuKq998nuKODD+fNY+2sWcPmOkiA3c7ZRUV8lpxMowfd6KqLFI8YUs8mJ7OosZGl27bxoyVL6PXEJxqlKM3KojQri+RDh5izciVnv/suM9euZcv8+WyfPRu7rMV1Uj49PVz48cfM2b6dmqgoXrjiCiri4nTHGlRLDh0i0OFguSyPc1qkeMSQ6rBaeSwtjUfy87koP5+3R4/WHWlAyjIy+NfSpSQWFzN71SoWvv8+Mz7+mK1nnUXunDn09E0fFy5RBQXc/cILRDU1sW7aND486ywcw+z6h9Xp5IKCAvZER1MUEaE7jkeQ4hFDbl1kJFsSErhq3z4+S06mLihId6QBq0hL4/VbbyW+tJQ5q1Yx/8MPmbFuHVvnzWPb3Ll0e+h04MFicTgY+8YbjHnrLQ6HhPDXa67h0DDdCG1WeTkjOjt5bsoU3VE8hhSPcItlOTk8/sEH3Jqby2/mzfPoKbPHqkpJ4Y2bbya2vJw5q1Yx76OPmL5uHdvmzWPrvHl0eeH5/tCyMmb9+c9EFBdTtGABf588ma7heirSMLg4P5+KkBC2e9A+QbpJ8Qi3aAgM5NXx47lp505mlZezMTlZd6RBVZOUxJs33khMZSWzV61izqpVTFu/nm1z53I4IYGe0FDdEYeccjoZ+d57TPjXv7AHBPDJD35AxfTpdOXm6o42ZMbU15PZ1MRfpk4dFjPz3EWKR7jNB1lZzC8p4eYdO9gZF0fnMDvXD1CbkMB/b7iBEVVVzF69mllr19L72WcUX3ABBy+/nO7wcN0Rh0RgbS0zn36amP37KZ82ja3f/CbdYWG6Yw25Sw4coMXXl3WpqbqjeBQpHuE2TouFv0ybxq9XruS63bt5fhifE6+Pj+ed66/n05oazt+2jcz//pe0d9+l5PzzKfzKV+iOjNQdcXAYBulr15Lz4osAbPr2tylesGDYnEo9lfjWVqZVVfHvsWOxW62643iUARWPUup7wG2AAewGbjYMo2swgonhqSgigvezs7mgoIB1qakeeW/PmWiMjSX3+9/nwNe+Rvbrr5O+fDlp779PybnnUnjFFXR58LL5fs3NTP/rX0ncto2asWPZfPvtdERH647lNhfl59NjsfBhZqbuKB6n3zdVKKUSge8C0wzDGA9YgWsGK5gYvv41bhxNAQF8c9s2j9q3ZyDaExPZcffdrH7qKcoXLCDtgw9Y/K1vMeGZZwjwwIVIEzdv5vwf/pC4XbvYfsMNrH3gAa8qnZDubhYWF7M+NZUWmUJ/xgZ6qs0GBCil7EAgUDnwSGK46/LxYVlODv+3YQNX793LKxMm6I7kNh3x8ey86y7yr76a7DfeIPWjj0j96CPK58/n4OWX02ryawXhxcWMe+MNkrZsoSktjTXf+Q4tw2yiyOm4LC8PX6dTbhjtp34Xj2EYFUqp3wGlQCewwjCMFV/8PKXUUmBp3+v9PZwYZrYkJrIyPZ2v5OXR5uvLO162RXBnbCy77riD/KuuIuvNN0lZuZKU1aupmTKFg5ddRv2kSaa6TnJs4fQEBrLra1/jwCWX4LR532Xi6RUVXJqfz6r0dCq8YLbiUOj3T41SKgK4DEgHmoF/K6W+bhjGP4/9PMMwngWeBbBarZ61OYsYUn+dOpUAh4Mbdu2iy2bjIy88V94VHc2epUs5cO21pH3wAenLlzPnZz/jcHo6By+/nIp58zCG4sndMFCGgertxdLbi+p7OfK6xelE9fbi39LCqOXLjxbOniuvJP+CC7APg5uA+yOhpYXvbN5MYUQEy3JydMfxWAP5iV4CFBmGUQeglPoPMAf45ym/Sog+hlL8acYM/B0OvpmbS5fNxnqTn2oaKvaQEAquuoqDl19O4scfk/Xmm0x5/HHGvPgiDePGuYqhrwxOVBSnel319qIcjqNlonp7sZ5id8gvksJxCbDbuXfDBuxWK4/NmSMz2QZgIMVTCsxSSgXiOtW2GNg6KKmE1+i1WPj97Nn86JNP+M7mzfRYrWxKStIdSxunjw9lS5ZQdvbZxOTmkvHOO4QXFGBYra4XiwWnzYZhsWBYrTitVgxf3/+9fszLkbfthuF6+0Rfe+TPL76v7+1eHx9qJkzw6sIBUIbBHVu2EN/Wxi/mz6fBC1ekGEwDucazSSn1OpALOIDt9J1SE+JM2K1WHp07lwfWrePujRt5dO5cdnj78iMWC7XTplE7bdqAv1VnZ+cgBPJul+flMbOighcmTWJfTIzuOB5vQGvUG4bxM8MwRhuGMd4wjBsMw+gerGDCu3TbbPx63jzKwsK4d8MGxnjgFGMxPE2qruZre/awPiWFd7OzdccZFjxwcxQxXHX4+vLL+fOpDQriR598QmZjo+5IwsvFtLVx98aNlIaF8ZepU00109CTSfEIU2n18+MXCxbQ4ufH/1u3jpTmZt2RhJfyczi4d8MGAH43Zw49Xjh1fKhI8QjTaQoI4KEFC+i22Xhg3TriW1t1RxJexs/h4J6NG0k5fJgnZs2iNjhYd6RhRYpHmFJdUBC/mD8fBfzk449JlZGPcJPIjg4eWrOGnKoqnp8yhZ3DbJtuM5DiEaZVGRrKL+fPx+Z08uuVK7ksLw9lyD3IYuikNzXx8KpVxLa18ci8eV55U7M7SPEIUysJD+cH553H1oQErt+9m5+vWUNsW5vuWGIYmlFezkNr1tBrsfCTs8+WHUWHkBSPML1WPz9+P3s2T86YQXJLC79dsYLFhw6BjH7EYDAMLsvL497PPqMkLIz7Fy+mzAs2sdNJpmkIz6AU61NT2Rcdze1btvCtbduYXlHBM9Om0RwQoDud8FBWp5Ol27axqLiYT5OTeWr6dFkKxw1kxCM8SkNgIL+aP59lkyczvraWx1asYFZZme5YwgMFd3fzwLp1LCou5vUxY/jjzJlSOm4iIx7hcQyl+CA7m12xsdy5eTPf37iR9ZWVLMvJod3XV3c84QHiW1u575NPiO7o4I8zZvCJly5Oq4sy3Hie3GKxGDaNN2GFhIRoO3aA5tNBQZoXeUxISBiS72txOvl6aSnfKC6m0deXR0aPZltk5HGfZ9X4m2yy5o3Ses9gJeqhUFtbq/X4X1yrLqe5mYf27cOpFP9v7Fj2DOH1nEbNq280NTVpO3ZtbS09PT0nXOpBTrUJj+a0WHgxLY07pkyhw2bjd7t28d38fPw0P9kKc7qwuprf7d5Ng68v3548eUhLR5ycFI8YFvJDQ1k6dSr/TkriK5WVPLt1K2NaWnTHEiahDINvHzrEffn55IaH853Jk6mSSSnaSPGIYaPHauWprCy+P2kSfk4nT+bmcnNREVanU3c0oZF/by+/2LePa8vLeSs+nh+NH0+7rLumlRSPGHa2R0Rw6/TprIyN5RslJTyVm0uK3HTqlaK6unhy507mNDTwx8xMHs/KoldWmNZOikcMS+02G78ZM4afjhtHTHc3z2zZwldLS2XJHS+S1dLCExs3ktTZyf3jxvFGYqJsa2ASUjxiWFsfHc0t06axNTKS2wsK+G1uLjGyI+ewN7umht9t3kyvUnxn8mQ2RkXpjiSOIcUjhr0mPz9+OnEivxszhpGtrfx10ybOrayUJXeGI8PgyqIifrJjB8XBwdwzaxaHNN9KII4nxSO8g1J8kJDA0pkzORgSwg/37+fB3bsJ7+nRnUwMEpvTyff27uW2/HzWx8Xxw+nTafLz0x1LnIAUj/Aq1QEB3DtlCn/JymJGfT1/3biROXV1umOJAQru6eFXW7dyXkUFL2dk8JuJE+mR5W9MS4pHeB2nUvw7NZU7Zsygwc+Ph3bt4t59+wh0OHRHE/2Q0N7OHzZtYkxzM49OmMCL2dkYMonA1KR4hNcqDg7mzunTeSktjXOqqnh20yYmalxiRJy5iY2NPLFxI8F2Oz+ePp3VQ7Q0kxhcUjzCqzksFv6Wmcn3pk6lVyl+l5vLtwoK8JEld0zv3PJyHt66lUY/P+6ZNYu9ERG6I4nTJMUjBLAvPJxvzZjB8sREriot5ektW8iSJXdMSRkGtxw4wPf37mVnZCTfnzmT6sBA3bHEGZDiEaJPl83GH0eP5seTJxNst/OnrVu5vqgIiyy5Yxp+DgcP7NjB1cXFLE9O5qdTptDu46M7ljhDsmCREF+wJSqKb86axXfz8rj50CHm1dXxRnIy62JiZKaURiMPH+b/du8mob2dp0eP5r8pKbISgYeS4hHiBFp9fPjVhAl8WlPDjYcO8aN9+7gjP5+P4uNZnphImdyU6DYWp5NrDh3i+kOHaPTz4/5p09gpKxF4NCkeIU5hbWwsa2NimNTUxMUVFVxaXs5Xy8rYGR7O8sREPomJwW6RM9ZDJbG9nf/bvZvRhw+zKj6ep8aMkVNrw4AUjxBfRil2RkayMzKS8J4ezqus5KLKSv7f3r005+ezIj6edxMTqZAL3IPCYhiMb2xkQXU1iysr6bFa+dWkSayPi9MdTQwSKR4hzkCzry//SkvjtdRUchobuaSigq+WlXF1aSm5EREsT0xkQ3Q0DhkFnRFlGIxubmZBdTXzq6uJ7Omh02rlk7g4lmVn0+jvrzuiGERSPEL0g6EUuVFR5EZFEdndzfmVlVxYWclP9+yhyceH9xMSeC8xkWrZ5fLkDIOslpajZRPb1UWPxcKm6GjWxcWxOTqabpnMMSwpw40r9FosFsOmcee/kJAQbccO0PwEFKT5YniC5jvKrW54ArMYBtMaGri4ooKZ9fUoYFtkJBsnTWJHcjJOTaOgXs03w9bW1n7u7dTWVhZUV7OguprEjg7sSpE7YgQfx8WxMSaGjkF+jujUuA1GY2OjtmMDNGlciaO2tpaenp4TTjuUEY8Qg8SpFJtHjGDziBGM6OrigspKLqisZPqaNTQFBLBu5EjWZWfTGBysO6rbJba3Hx3ZpLW10QvsjIritfR0Po2Joc3XV3dE4UYy4nETGfEM/xHPiVicTi5SioX5+UwoLwel2JWYyNpRo9iVmIjhhlGQrhFPVFsbM0tKmFpYSHbfKhC7IyL4OC6OT2JjaXbTlgUy4tFDRjxCaOK0WNiRnMyOlBSiWltZUFDAWQUF3LNqFQ1BQazLzmZddjbNw+S+oPCODmaUlDCruJis+noA8sLC+MuoUayPi6NeJgkIZMTjNjLi8c4RD0BycvLn3rY6nUwuK2PhgQOMr6ykVyl2JiWxdtQo9iQkDPooaKhHPCFdXUwrLWVWcTGjamqwACUREWxKS2NTaip7NW81LiMePWTEI4SJ9FosbEtNZVtqKtEtLSzIz+eswkKmlJVRFxzMxyNHsj4rixYT3xcU2NPD1NJSZpaUMK6qCqthUBkaylsTJ7IpLY2qsLD/fbLm4hHmIyMeN5ERj4x4TsXa28uU0lIWHTjAmOpqHEqxPSWFtaNGkRcXN6AZcYM14vGz25lSXs7M4mImVFbi43RSGxzMxrQ0NqWlURYefsK10744q83dZMSjh4x4hDC5XquVLenpbElPJ/bwYRbm5zO3sJDpJSUAOJTCbrNht1qxW6309P157EvPMR8/9n09Sn3ua4792qOv931tj8Xyv9etViyGwcSKCmYVFzOpogK/3l4aAwNZOWoUG9PSKIqKkoU6xRmT4hHCZGrCwvjX9Om8kZPDlNJSYltb8entxae3F1+H4+jrx74d2NNDWGen631HPt73MdsgnNU47O/PuqwsNqWlURAdLVtLiwGR4hHCpBw2G5szMgb8fQy7/X9FdWxpffF9Dgc+TufnCs3mdJIfE0NebKy2G2DF8OPWazxWq9UINPEF06Fk0fyfVvc1Hj833bNxMlEal9HXeX0JwKl5IzuHw6H1+D09PdqOffjwYW3HBuju7tZ27ObmZux2+wmHxvIrjBBCCLeS4hFCCOFWUjxCCCHcSopHCCGEW0nxCCGEcCspHiGEEG4lxSOEEMKtpHiEEEK4lRSPEEIIt5LiEUII4VZSPEIIIdxKikcIIYRbfWnxKKWWKaVqlVJ7jnlfpFLqI6VUQd+fEUMbUwghxHBxOiOevwPnf+F9PwJWGYaRDazqe1sIIYT4Ul9aPIZhrAO+uH/rZcALfa+/AFw+uLGEEEIMV/3dCC7WMIyqvtergdiTfaJSaimwtO/1fh5OCCHEcDHgyQWGaye5k+4mZxjGs4ZhTDMMY5oUjxBCiP4WT41SKh6g78/awYskhBBiOOtv8bwN3Nj3+o3AfwcnjhBCiOHudKZTvwJ8BoxSSpUrpW4FfgOco5QqAJb0vS2EEEJ8qS+dXGAYxrUn+dDiQc4ihBDCC8jKBUIIIdxKikcIIYRbSfEIIYRwKykeIYQQbiXFI4QQwq2keIQQQriVFI8QQgi3kuIRQgjhVlI8Qggh3EqKRwghhFv1dz+efnE6nXR2drrzkJ9jsejrWR8fH23HBnA4HFqPb7O59UftON3d3dqOrfux+/v7az2+7p+99vZ2bcfW/W+v8znv8OHDJ/2YjHiEEEK4lRSPEEIIt5LiEUII4VZSPEIIIdxKikcIIYRbSfEIIYRwKykeIYQQbiXFI4QQwq2keIQQQriVFI8QQgi3kuIRQgjhVlI8Qggh3EqKRwghhFtJ8QghhHArKR4hhBBuJcUjhBDCraR4hBBCuJUUjxBCCLeS4hFCCOFWUjxCCCHcSopHCCGEW0nxCCGEcCspHiGEEG4lxSOEEMKtpHiEEEK4lRSPEEIIt5LiEUII4VZSPEIIIdxKikcIIYRbSfEIIYRwKykeIYQQbqUMw3DfwZSqA0oG8C1GAPWDFMfTePNjB+9+/PLYvZcnP/5UwzCiT/QBtxbPQCmlthqGMU13Dh28+bGDdz9+eeze+dhh+D5+OdUmhBDCraR4hBBCuJWnFc+zugNo5M2PHbz78ctj917D8vF71DUeIYQQns/TRjxCCCE8nBSPEEIIt/KI4lFKna+UOqCUKlRK/Uh3HndSSiUrpdYopfYppfYqpe7WncndlFJWpdR2pdRy3VncTSkVrpR6XSmVp5Tar5SarTuTuyilvtf3M79HKfWKUspfd6ahpJRappSqVUrtOeZ9kUqpj5RSBX1/RujMOFhMXzxKKSvwZ+ACYCxwrVJqrN5UbuUAfmAYxlhgFvAdL3v8AHcD+3WH0OQJ4APDMEYDk/CSvwelVCLwXWCaYRjjAStwjd5UQ+7vwPlfeN+PgFWGYWQDq/re9nimLx5gBlBoGMYhwzB6gFeByzRnchvDMKoMw8jte70V1xNPot5U7qOUSgIuAp7TncXdlFJhwHzgeQDDMHoMw2jWGsq9bECAUsoGBAKVmvMMKcMw1gGNX3j3ZcALfa+/AFzuzkxDxROKJxEoO+btcrzoifdYSqk0IAfYpDmKO/0B+CHg1JxDh3SgDvhb36nG55RSQbpDuYNhGBXA74BSoAo4bBjGCr2ptIg1DKOq7/VqIFZnmMHiCcUjAKVUMPAGcI9hGC2687iDUupioNYwjG26s2hiA6YATxuGkQO0M0xOtXyZvmsZl+Eq3wQgSCn1db2p9DJc974Mi/tfPKF4KoDkY95O6nuf11BK+eAqnZcMw/iP7jxuNBe4VClVjOsU69lKqX/qjeRW5UC5YRhHRriv4yoib7AEKDIMo84wDDvwH2CO5kw61Cil4gH6/qzVnGdQeELxbAGylVLpSilfXBcY39acyW2UUgrXOf79hmH8XncedzIM48eGYSQZhpGG6999tWEYXvNbr2EY1UCZUmpU37sWA/s0RnKnUmCWUiqw7//AYrxkYsUXvA3c2Pf6jcB/NWYZNDbdAb6MYRgOpdSdwIe4ZrYsMwxjr+ZY7jQXuAHYrZTa0fe++w3DeE9fJOFGdwEv9f3SdQi4WXMetzAMY5NS6nUgF9fMzu0M0+VjjlBKvQIsBEYopcqBnwG/AV5TSt2Ka0uZq/UlHDyyZI4QQgi38oRTbUIIIYYRKR4hhBBuJcUjhBDCraR4hBBCuJUUjxBCCLeS4hFCCOFWUjxCCCHc6v8Dmg9jvf5IcgMAAAAASUVORK5CYII=\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_7r = img[:,:,0].copy()\n", + "str_7r = str_7r[142:154,387:399]\n", + "plt.imshow(str_7r, cmap='Reds')\n", + "plt.show()\n", + "\n", + "p0 = [14, 10, 15, 1, 5, 0, 0]\n", + "determinar(str_7r,p0,FWHM_xir,FWHM_yir, incer = str_7r.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 8" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[118.37738938 1.2301783 0.88804317 2.13659917 2.33042575\n", + " 4.36580063 150.26652019]\n", + "2.896848514525203 2.091181859056181\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_8r = img[:,:,0].copy()\n", + "str_8r = str_8r[459:465,322:327]\n", + "plt.imshow(str_8r, cmap='Reds')\n", + "plt.show()\n", + "\n", + "p0 = [11, 3.43, 6.4, 0.01, 0.5, 0, 0]\n", + "determinar(str_8r,p0,FWHM_xir,FWHM_yir, incer = str_8r.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 9" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[185.59903905 1.27508233 0.91857923 2.11100885 3.13854179\n", + " 1.72086826 80.86325465]\n", + "3.0025894335728154 2.163088772629732\n" + ] + }, + { + "data": { + "image/png": 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GaT/+SOf6eq1L1bXG5ulgN4+Hmzvw00EVVkcQKSV3uFwssVj4Xh2s12qJDQ088sMPXLJ5M0vS07n9jDPY1tztXxwVxYOnnMLzgwfTs7KSZxYu5Jxt2zB14FHDkayIiuKD+HguLy9nUAe9jl6tWR3BH1wukqXkcqdTjapa6aTCQm5cuxazlDw9bBjfde36mz8jhWB+9+6s6tyZP/z8M1dv3MgphYX8b8gQdsXGalC1/j3VuTOn1tbySEEBF/bsqXU5IadGVofRKRDgZrebOVYrK9Vm5SOy+3zcsGYNd69YQVFUFLefccZBg2p/FU4n/zrhBB4bPpykxkYe//ZbLt20Cavq3P6NBrOZaWlpZHo83Lhvn9blhJz6CjyMW1wuoqXkH2r6d0Tdq6u5Y8UKutTVMaNXL97v2xd/a3vRhODHtDTWJyXx+/XruXDrVk4qKuL5IUPIVUdF/8rSqCg+iYvjqrIy3rBaWdGB+v1Ee1ybZbFYZIzBO7xTAgFWVVczy2bjhuYngAlh/IXTv3//o/uLUnJWfj5XbtxIrc3G08OGsT4p6ZhqGVxSwg1r15Lc2MhXmZlMz86m0Wo9qreVl5d3TLXoUZTfz2fbtlHh93OS1Yo7jJYnPB4PgUDgoO9Qx4nlNrqzsREL8G/VC3RIsW43f1m6lKnr17MmOZlbzzjjmIMKYG3nztwyejRfZGVx5o4dPLtwIcNUU+Qv6pqng9lS8pcONF1WYXUQ3f1+rvB4eMtuZ5c6AuagBu3bx5MLFzKwtJSXBw7kXyecQG0QL8xwWSy8PnAg940cSYPFwl+XLuXWlSuJUVeuA/BDdDRvmUzc7vczpIM8RVXTwIN4qb6eSR4Pw2JjKdlvTUBNA8ESCHDppk1Myctjd3Q0T+bktPvTO0sgwHlbt3LBli00Wq28NmAAi9PTW/V0NhyngS32bd3Kao+HSiE4yWrFGwbTwcNNA9ttgT1g0LTv5/dzvsfD03Y7xQD7vR/nnnuuZnW1t5ycnCP+majiYk76739JyM9n25gxrL38ck602zkxBPUBzN+zh+NfeYXbVq3iIr+flVOn0pCYeNi/s2jRohBVF3ozS0u51+1melUVD1utPBoVpXVJx6y8vPyQv6emgQd4wOWiBnhG3QH4/6Sk++LFnHn//USVlLDk9ttZNXUq/hB/jGq6dmXBtGmsuuoqknJzmXDXXfSaO/dX31A6mvl2Ox87HNxcX08/r1frctqVal3Yzwk+H+N9Ph6226kOgyF1MFgaGsh5/XW6//AD+/r25aebbqJRw+mwNJnYNn48RcOGkfPqqwx7800yfvyRFddfT01ammZ1aemB6GhGejw8U1PD+Ph4fGH6uatGVi2k5EGXixIheEmNqgBI2LaN8ffdR8ZPP7HuwgtZ9Ne/ahpU+6tPSuK7e+9l6Y03ElNUxJn33ku/Tz/F5PNpXVrIVZlM3BMdTX+fjz+H8T5LNbJqNsrnY4Tfz50OBw1h+p2ptUQgQN9Zs+j/8cc0JCSw4KGHKO/dW+uyfksIdp56KsUDBzL0rbcY8PHHdF26lOXXX09FB9uO8rXDwaduN7fW1zPHbmfzUfal6ZkaWQGieVS1Uwje6uA3KzsrKjj9H/9g4IcfsueEE5j773/rM6j2446N5ac//5nFd96Jrb6eMQ8+yODp0zG7XFqXFlJ/jY6m2mTimZoaLGF49I4aWQHn+HwMDgT4g9MZFo9/j1baypUc/9JLmLxelv3xj+wYOdJQm7eLhg3jq759Gfj++/SZM4f0lSspyMlhc3q61qWFRIXJxH3R0bxaXc2NDQ08G2Znr7Vbn1WUQR6jmqXkp7o6fMApUVEEDvPFee2114ausBCyeL1Mzc2l1/z5VGRm8tPNN1Obmqp1WcckadMmhr/yCjF79/JD7958ctJJNITZWuTMmTMP+usvV1VxptvNuIQEthhsA355eTlerze0fVZGcanXS+9AgMsiIg4bVOEqpayMy2bPJrWsjM2TJrHu4osJGOwT/GBKs7OZ+5//EPXUU4z7+Wf679nDByNGsDoz01CjxaNxf0wMI8rKeKq6mrPj48PmGO4OvWZll5J7XC5WmM3MDoMv0DaRkpPXruWWd98lsqGBb++9l7WXXx4WQdXCb7Px+fHH868pU6iKjOQP33zDH+fPJzaMn5gBlJlM3B8Tw1Cfjz+E0UF9HTqspno8pEvJIw5H2H+33V9EYyO/nzmT8xYsIK9rV5686ir2DhqkdVntZk9iIv+ePJkZxx9Pvz17mPbxx5ySmxvW57/PtNuZbbdzd10dPcOknSN8vo22UZSU3O52s8hiYXEYjSaOpMfu3Vz61VdENjYy8/TT+X7oUGQHCOqAycS8wYNZm5nJ5YsXc8WSJRyfl8f0kSMpDceTSYXg3uhovvN4eKqmhnPj4gy/zNFhR1Y3ud0kSsnfwmzR9VBMfj/jv/+eP3z8MW6rlWcvuYQlw4Z1iKDa377YWJ466yymn3oqGWVlPPjJJ4xbuzYsz38vNZt5IDqa4V4v14bBdLDjDCn2Ex8IcJPbzSyLhTUdYFQVX1XFZXPm0K24mKUDBjDrjDPwhGHTYGtJIfi+b1/WZ2RwyQ8/cP7y5eTk5/P2yJEUHGFjtNHMcDg41+Xivro65tvt7DDw53uHHFnd7nYTCfy9AxysNyQ3l9unTye5ooK3zzqLT8aN69BBtb/qyEheHDuWl8aMIa6+nvs/+4zJy5djCZM1HgCE4K6YGNxC8GRNjaFvxDZuzB6ltECAaz0ePrBa2RrGB+vZPR6mLFhAzqZN7OjShfcmTaLSwGeMtRshWJ2VxeYuXbhw6VImrF3LkB07eGfkSLYZvNesRYnZzEPR0TxTU8M1jY28FhGhdUlHpcONrO52uRCE93HF6Xv3cuv06QzNzWXeSSfxwkUXqaA6ggaHg7dOP52nJ07EEghw5xdfcOmSJTg8Hq1LC4oPHQ4W2Gz8pbaWbgYdOXaosOrh93OZ18sbNht7wvBWECElp69Ywc3vv4/F7+eF3/2OeSefTCAM39f2kpuezsMXXMA3AwZwam4u0z7+mIG7dmld1rFrng76DDwd7FCfxX9xu3EBj4fhE8DoujqunTGDsxYvZkPPnjx55ZXs6CB74oLNY7Xy8Ukn8Z/Jk2mw2bhp7lyu/eYbohsbtS7tmBSZzUyLimKE18uVBnxfOsya1SC/n/O8Xh6z2ykLs5FG3/x8Lvr6a2xeLx+NHcvyAQM6VJNre9mZnMw/zjuP8WvXMnHNGvoWFvLxSSextFcvw35833M6Ocft5sG6Ohba7ewx0LpteH3VHsZfXS4qhOC5MBpVWXw+zl24kKmffUZ1VBRPX345ywcONOwXkh75zWZmDxvG388/n5JOnbj622/581dfkVBbq3VpR0cI7oyJQQKP19QYqou/Q4TVyT4fY30+nrLbqQmTL+Tk8nJufu89Tl2zhsVDh/LcpZeyTyeneIaj4rg4Hjv7bD44+WR67N3Lgx9/zKj16xEGbCYtMJv5W1QUp3k8XGag6WD4TwOl5AGXiyIheCUcDtaTkhPWr+fcRYvwWK28NmUKuVlZWlfVIUiTiUX9+/Nzt25c9v33XPTTTwzfvp23R46kOD5e6/LaZLrTyTkuF9Pq6vjWbqfQANPBsB9ZjfP5OMnv51G7HZfBR1VOl4srvvySC+fPZ2eXLjxx5ZXGCarmG3L6f/wx3ZcsMdT040AV0dE8N348r59xBsnV1fz10085a9UqzAa6HVkKwe2xsZiAxwwyHTziyEoI0RV4G+gMSOBlKeUz7V1YMIjmUdV2k4l3DD6q6l5QwGVz5hBTX8+XI0fyXU6OYfb17X9DTouuS5eyYupUXAYbkfxCCJb16sWm9HR+9+OPnL1qFRmlpbxw5pmG+XfZbTbzj6go/llby8UuFx84nVqXdFitGVn5gDuklNnAicBNQojs9i0rOM7zehkQCPBPu92w1xOZAgHG/fgjN370ET6zmecuuYRvhw83zBdEfF7er27I+XD6dFZfcQWdN2xg4t130/277wzxXf1Qap1OXhs9mg9OPplBu3dzzsqVWpfUJm84nfxktfJwbS0pOh8ZHnFkJaUshqbLiaWUtUKIXCAN2NTOtR0Ts5Tc73az3mTiU4PuhXO6XFz9+edkFRayol8/Ph81CreBRoi9vv6aIe+8Q2Nc3K9uyNk6cSJFQ4ZwwksvceKLL5KxdCk/3XwzXoNuAwFY1K8faRUVTFyzhj0JCaw2yPRcCsFtMTEsLC/n0ZoaroyL07qkQ2rTmpUQojswBFh2kN+7XgixUgixUg9Xx/cIBOgRCPCi3W6YUciBTlmzhqzCQt6dOJEPx483VFDFbd/O0LffpnjQIL4+yA05dampLHjwQVZfeSUp69dz8jPPIHT+nf2whOD9ESPYlZjI+UuXGurImZ0WCy9GRjLO46GTjutudVgJIaKAGcCtUsqaA39fSvmylDJHSplj0kHTZULz1KJAB7UcDZPfz4nr1rG5e3fW9O2rdTltIgIBcl5/HVdsLEtvugnvoW5ZMZnYOmECK6+5htR16xjy9tuhLTTI/GYzXw4dSmJdHUPz87Uup01WN88+eul432CrvpKFEFaagupdKeWn7VtScMQ3h1WlQUdV/fPyiK2r44fBg7Uupc16LFhAQn4+ay6/vFVTu/xRo8g96yx6z5tHr7lzQ1Bh+1nfrRt7Y2MZt26dodbiWk4gMXRYCSEE8BqQK6V8sv1LCo6WsCo3aFiNWLuWipgYNmdmal1Km9irqxn44YeU9OvH7pNPbvXfW3fJJRTk5DDkrbdIXbu2/QpsZ1II5g8cSLeyMo4rKtK6nFYrMJtpAHrreCrempHVCOAKYJQQYm3zfxPbua5j1hJWFQYMq5SyMnoUFPDjoEFIg01jB7/3HmaXi5VXX92mbT/SZGLpTTdRnZHByc8+S+yePe1YZfta2qsXNU4nY9et07qUVgsIQZ7FQm8jj6yklN9LKYWUcqCUcnDzf3NCUdyxiA8EaAAaDRhWJ/78M16zmeX9+2tdSpsk5eaSuXgxW846i9q0tDb/fZ/DweK77sJntzPy0UexV1UFv8gQ8FksLOrXjwF79tClokLrclptm9HDyqgSpDTkqEpIyYC8PHKzsmgw0KN84fMx7PXXqU9MZOOUKUf9dhoTElh8113Ya2o49cknMRn08LvvsrNxWyyGGl1tNZtJDwSI1OkTwbANq3iDhlX63r3E1tWxoWdPrUtpk95ff02nggJWXXUV/mM82aIyK4ulN91E4rZtnPDSS4ZaqG5R73Dww3HHcXxeHp0Mcqnq1ubLJHrpdN1KhZXO9M/Lwy+Ecfb8Ac7ycvp/8gmFQ4dSlJMTlLdZcPzx/HzxxXT78Uf6zZgRlLcZat8MGIBJSkZt2KB1Ka3SElZ6nQqGdViVG2xxGprCanvXrjQa6Iz4IdOnIwIBVl91VVDfbu4555B/2mkMmDGDjP32FRpFeUwMqzMzGblpkyHOct9pNuNBv+0LxvtqbiUjrlklVVTQuaKCjT16aF1Kq6WsXUvGsmVsmjKF+uTk4L5xIVh57bXs69OHE156iYStW4P79kNg3qBBOL1eTtm8WetSjsgvBPlmsxpZhZJJSjoZMKz65eUBsNEg61Umj4dhb75JTWoqm886q11eI2Cx8P3tt9MQH8+pTzxBZGlpu7xOe9mVlMSW1FRGr19viC04Wy0W3fZahWVYxUqJGeP1WPXPy6MgOZkqg1yb1feLL4guKWHV1VcTaMfN4p7oaBbffTcmv59TH30Uq8GuQp83aBDx9fXkbN+udSlHtM1iIcPvx6HDhxphGVZGbAiNrqsjo7jYME8Bo0pKyJ45k10nnUTJgAHt/nq1Xbrww623ElNczEnPPmuoTc8bu3alKC7OEFtwtlosmIEsHU4FwzKsEgy41SY7Px8TGCOspGTom28SsFhYc/nlIXvZkv79WXn11XT5+WdDbXqWQjB/wAC6lpfTt7BQ63IOa0vzHkE9rluFZVgZcWTVPy+PsthY9iYmal3KEaWtXEmXtWtZf8EFIT/pM3/0aDZPmmS4Tc/Le/WiKiJC902i+RYLfvS5RzAsw6plZFVhkNYFu9tNr927mxbWdR6wFpeLoW+9RWVGBtvOPFOTGn6+9FIKhg1jyFtvkWKQTc8+s5mF/fvTr6CA9PJyrcs5JI8Q7NTpE0FjfDW3UZzBRlZ9du7E4vcbYgrY79NPiSwvZ9U11yA1uhFFmkws/dOfqM7IYISBNj0v6dsXl8XC2J9/1rqUw9qq0z2CYRlWCVLiBuq0LqSV+uXlUed0srNLF61LOayYPXs4bs4c8k8/nbLjjtO0lv03PZ/62GPYq6s1rac1Gux2vu/Th+HbtxNXp9/Pzq1mM5l+PxadPQwIy7CKDwSaRlUGGFmZ/X765uezsUcPfR8HIyU5b7yB1+Hg50su0boaoHnT85134qiu5tQnnjDEpucFzU9O9bwFZ5vFghXI1Nm6lY6/Oo6ekbrXe+zZg9Pj0X0jaLfvvyc5N5d1l1yCW0d9YJU9erD0xhsNs+m5IjqaVVlZnJqbq9stOHrdIxiWYWWkTcz98/LwWCxszcjQupRDstbXM+Sddyjv0YPtZ5yhdTm/UXDCCfx80UVNm54/1f+p2y1bcEbm5mpdykHltZy+oMKq/cVLaYgeKyEl2du3szkzE5+Orwsb8NFH2GprWTl1Kuh0qpp77rnsGDmSAZ98QsaPP2pdzmHtSUxkc5cujNqwQZe3ODcIwR6TSXftC/r8zDtG8VIaom0hvaSETjo/uyouP5+e8+eTN3YslXo+D14IVrRsen7xRRK2bdO6osOaN2gQcfX1DNfpFhw9PhHU/1d0W0lpmJFVv5azq3QaAi1XarljYlj/u99pXc4RBaxWvr/ttqZNz48/rutNzxvT0ymMi2tqEtXhOttWi4UePh8mHdUWdmEVS9M100a4gqt/Xh75XbvS6HRqXcpBZS1cSML27ay9/PJD3/2nM56YGBbfdVfTpufHHtPtIjZCMG/QINIrKuhXUKB1Nb+x1WLBCXTV0VQw7MIqvvkYDr2PrBIrKkgpL2eDTs+ustfUMPCDDyjJzmbXiBFal9MmtWlpTZueCwu5dsEC3R7NsqJHDyojI3W5BaflHkE9rVtZ2uONBgIB3G53e7zpI4pu/sQs8flwB3kI2yWITZs5W7YAUDZiBF3i4oL2do/WxRdf/OtfuOYacLvp/PHHXJydrU1RxyojgwF/+AP37ttH7g03aF3NQZUAfV97jasGDKCmjWuX33zzTfsUBRQ6HFBZSX+TiR9DOKqurKw85O+F3cjKKCcu9NiwgZL0dGp1EFS/8f338MYbcMcdYNSgArj+enacdx7dZs0i44svtK7moAomTMDndNJdZ+fM15rN7DWb6amjaXTYhVXLGQD63SoKETU1dNm1izw93gvo9cINN0DXrvDAA1pXc8y2XHMN+044gT4vvkjiqlVal/MbvshI9kyYQMrixThKSrQu51e222z09Hq1LuMXYRdWiQbYxNxj0yaElGzXY1g99xxs2ADPPgsGWVQ/LLOZn++5h7ru3Rn0z38StWuX1hX9xq7Jk0EIun/+udal/Eqe1UoPj0c3TyvDLqzipcQH6Hlba48NG6hKSKAsJUXrUn6tsBAeeggmToRzz9W6mqDxO52snjYNv93O0Icewqazm55dSUkUn3Ya6V9/jaW2VutyfrHNZiNKSlJ1ssgefmFF8xRQpyMrq8tFxtatTVNAvdV4++3g8zWNrvRW2zFyJSWx+qGHsFdWMuSRR3S36Xnn+edjcbno+tVXWpfyi+3Nuyr0sm4VdmGVqPOG0O5btmDx+/U3BZw3Dz76CO6/Hwx0wWpb1Bx3HOvuvJO4TZvo/9RTupneANRmZVE2dCjdPv8coZNwyLPZABVW7SYeqNC6iMPouX49DZGRFHXvrnUpvzD7fPCnP0GvXnDXXVqX065KTj2VrVddRZdvv6XH++9rXc6v7Dj/fByVlXT59lutSwGgwmym3GTSzSJ72IVVgo5HViafj8zcXPKzs3V1dlXOokWwbRv8979goJugj1b+RRdROHo0vaZPJ+W777Qu5xflQ4ZQk5XV1Magk0bWPJtNjazai57DKn37dhwul65aFmLLyznhm2/gwgth3DitywkNIdjw5z9T0b8/A554gli9HNUiBDvOP5/o3btJWrlS62oA+CYigtU6+QYWXmElJQnot8eq54YNeG02dmt8JPAvpOSMzz4jYDbDU09pXU1ISZuNNX/9K+6EBIb+7W+66XHaO3IkjUlJumkSfb1TJ/6TkKB1GUCYhVUUYEOnPVaBAD02bmTnccfp5uyqHhs2kJWby49nnglpaVqXE3Le2FhW/e1vmLxehk2bhrm+XuuSkBYLuyZPJmHdOmK2btW6HF0Jq7Bq2WpTpnEdB9O5oIDo6mrdTAEtbjdnzJxJWUoKa085RetyNFPftStr//IXInfvZvC//62Lm573jB+PNzKSTJ2MrvQivMKq+f96HFn13LCBgMnEjr59tS4FgBO/+YaYykq+Of/8pmlgB1Y+ZAi5N91E0sqVHPfKK1qXgz8iomkLzvff49y7V+tydCO8wkrHm5h7bNhAQVYWLh1sYYkvKWHYt9+yYfhwikLZU/Xii03Npn//e+hes5X2TJzIzilT6D5zJl2//FLrctg1eTLSZKL7Z59pXYpuhFdYNf9fbwvsnUpLSSwp0UcjqJSM+vRTvHY7S846K3Svu3s33Hln048feAB01uMEsHnqVPYdfzx9X3hB803P7oQEis44g7S5c7HW1Ghai16EV1jpdGTVs/mOuLx+/TSuBPqsWUNGXh7fT5xIY1RUaF5UyqaTHKSEzZvh1FPh97+HJUtC8/qt1bLpuVs3Bv3zn0RqvOl553nnYXG76Tp7tqZ16EVYhVW8lPiBKq0LOUCPDRsoSUujNj7+yH+4HdkaGzlt1iz2du3K+hNPDN0Lf/ghzJkD//gHHHccfP45ZGbC5MnQfAihXvgjIlg9bRoBu51h06Zh1XDTc1337pTm5NDtiy90t5dRC2EVVglAJSB1NLJqObtKD1PAEV9/TURdHd+cf37oOujLy+HPf4bhw+Hmm5t+LT6+KbzM5qYTHnR2sYMrOblp03NFBUM13vS844ILsFdW0mXhQs1q0IvwCisddq+3nF2ldctCUkEBg374gZ9PPpl9XbuG7oXvuAMqK+HVV5vCqUVWFsyaBUVFcM450NgYuppaoXq/Tc/9nnlGs03PFQMHUt2zp6624GglvMIK/W1i7rFhA1Xx8ZSlpmpXRCDAmBkzaIyM5IcJE0L3ut98A2+9BffcAwMH/vb3TzwR3nkHli2DK67Q3RdjyamnsvXKK0lbuJCsDz7QpojmLThRBQUkLV+uTQ06EVZhFS8lZToaWVldLjK2bWuaAmpY14Dly0ndvZvFZ5+NO1TXfjU0wPXXQ+/e8Ne/HvrPnX8+PP44zJjRFGo6k3/xxRSOHk3vt98mZfFiTWooOfVUGpOTO3yTaFiFVaKUumoI7b5lCxafT9MpoKOujlNmz6YgK4vcYcNC98IPPQQ7dsArrxz5JIfbboObbmoKreefD019rdWy6blfv6ZNz5s3h7wEaTazc8oU4jds0OT19SJ8wkrK/z8lVCd6btig+dlVp86ejc3lYsH554dudLdqFTz5JPzhDzBy5JH/vBDw9NNw1llNi/A6e1QvbTbWPPAA7vh4zTY9F5x5Jp6oKDI/+STkr60XRwwrIYRDCLFcCPGzEGKjEOLhUBTWVhGAE/1stTH5/WRu2tR0dpVG21lSd+xgwPLlrB45kvJQnffu9cK110LnzvCf/7T+71ksTY2igwfDRRfB6tXtVuLR8MbGsurhhzF5PJpsevY7neyZNInOP/6Is6gopK+tF60ZWbmBUVLKQcBgYLwQIoRNOq3T0r2ul03MWp9dJfx+xsyYQW1sLEtDeU7Vk0/C2rVN07nY2Lb93ago+PLLptaGs85q6nrXkfqMDNbefz+Ru3cz6D//gRBvet59zjlIs7nDbsE5YljJJnXNP7U2/6efw6ubJejsCi6tz64a/MMPJBUXs2jyZLx2e2hedNs2mDatadF88uSjexupqU09WPX1MGkSVOvrnqLyoUPJvfFGklesoE+INz274+MpHD2a9Pnzsers4xIKrVqzEkKYhRBrgX3AfCnlsnat6ihEN4eVXnZRddmxg5L0dM3Orhr0448UZ2SQN2BA6F701VfB5WoaXR2L/v3h5Zeb7i98+eXg1BZEeyZNomDsWLrPnIm9IrTNMrvPPhuz203y0qUhfV09aFVYSSn9UsrBQDpwvBDiN3MbIcT1QoiVQoiVUoMGupZm0MSQv/LBFXfrRnJBARaNDtvfm5FBXGlp02UQoXLqqU3/D0Y/0Ny5YLPBeecd+9tqB/bKShoTE3G3dap7jFp2HvgiIkL6unrQpqeBUsoqYBEw/iC/97KUMkdKmSM0mIoVNb9mmk6uV9o2YAA2j4duGu192zRsGI7GRrI2bQrdi06YAN26wf/+d2xvZ80aePPNpm06PXoEpbRgspeVkbh6NUVjxvy6Kz8EnM1bk1yJevm2HDqteRqYJITo1PxjJzAW0F2zRxXQAHTRSVgV9OyJy+mk17p1mrz+nl69qI2NJTuUFw+YzU2nK3z7LRxtSErZtEUnIQH+8peglhcsaQsWIAIBCseODflrO1rCKikp5K+ttdaMrFKBRUKIdcAKmtastD+d7EBCUCiEbsIqYDazvV8/sjZuxBTKqVgzaTKRO3QomZs34wzlleTXXNM0fTva5s4vvoBFi+Dhh6FTp6CWFhRSkjZvHhUDBtDQpUvIX95RWkrAbMYdFxfy19Zaa54GrpNSDpFSDpRS9pdS/i0UhR2NIh2FFcC2gQNxuFx0zcvT5PVzc3IwBQL0WbMmdC+alNTUJ/X229DWkPR4mg7o69u3aauODsVt3EhkUREFGoyqoCms3AkJIZ9+6kH4dLADRUDov9cd2q7evfHY7fRav16T1y9PSWFvejrZoT718sYbm4LqnXfa9vdeeKGp/eHxx5uaRHUobd48fE4nJS0PE0LMWVpKYwecAkK4hVXLyEonoyu/1Up+37703LABodGJAptycuhcUEBCcXHoXvSEE2Do0KaF9tb+W1RUNE39xo5tWqjXIXNDAylLllB82mn4Nbr401Fa2iHXqyAMw8qOftoXoGkqGFFXR1p+viavv2XIEPwmU2gX2oVoGl1t3Nj6o4sfeaSpAfSJJzQ9oeJwUpYsweJyabKwDkAggKOsTIVVOChs/iTX07rVjj598Fqtmj0VbIyKYkffvvRdvTq0o7tLLmlaIG9NG8PWrfDf/zbtKQxlE2sbpc2fT116OlUaXadmq6rC5POpsAoHRToMK5/dzs4+fZrWrTSaCubm5BBVU0PGtm2he9GICLj6avj0UzjSFPSee5qOkfmbbp/dEFFQQPzGjRSOG6fZyK+lbUGtWYUBPYYVNDWIRtXUkKrRxtz87GxcTifZK1aE9oVvuAF8vqYzrQ5l0aKmCyTuv7/ppAadSp8/n4DJRNHo0ZrV4OzAPVYQZmG1F/Cjny72FvnZ2fjNZs2mgn6Lhc1DhtBzwwZsLlfoXrhXLxg3Dl56qenomN8U5ofbb4eMDLj11tDV1UbC76fLggWU5eTg1vCGoo7cEAphFlZ+IdiHvtoXADxOJ7t79WqaCmoUpLk5OVi93tAH5k03NV0KMWvWb39v+vSm42T+8x8I1XHLRyFh1Soc5eUUhPKonYNwlJXhs9vxRkdrWodWwiqsQH+NoS22DRxIbEUFSYWFmrx+cUYGlYmJoX0qCE3HvGRk/Lajvb6+aep34olNTaQ6lj5vHp6YGEqPP17TOpz79jWNqnT6tLS9hV1Y6WnLzf7y+vUjYDJp1iCKEGzKyaHr9u1Eh/JYE7MZ/vhHWLgQcnP//9cfe6xp4f3JJ3X9xWetriZ52TKKRo9GanTcT4uO3GMFYRhWeh1ZuaKiKMjK0mzdCvjlwoiQd7RPnfrr/YIFBfDoo00jqpNOCm0tbdRl0SJMPp/mU0CgQ/dYQRiGVaEQxANOHQbWtoEDSdi3j/i9ezV5/Zr4ePb06NE0FQzlxyc5GS68sOkOwbq6ptMUAgH4979DV8PRaN60XN2rF3UaXvoBILxe7BUVKqzCiV7bFwDyBgxACqHdVJCm7TdxZWWhb6O46aam/YK33960yfm220DjADiSmO3bidmxQx+jqooKhJQdtscKwjGsmv+vx7Cqj4mhqFs3TaeC2wYOxGu10jfUC+0nnth0c80rrzSdzHDffaF9/aOQNm8efquV4tNO07qUDt+2AGEYVi1bbtI0ruNQtg0cSHJREbFl2tzD43E4yOvfnz5r1oT2yGMhmkZX0NSpHhMTutc+CiaPhy6LFlEyYgQ+HbQKOPbtA1RYhRU9TwOhqZsd0HR0tSknJ/RHHkPT9pu5c3V7VtX+kn/6CWtdXdP2Gh1wNH9zU2EVRuqFoBr9dbG3qI2PZ2/XrpquW+3u3Zu6mJjQTwXN5qaOdpP+P+3S582jMTmZ8kGDtC4FaJoGeqKjNTuaRg/0/1lzFPTavtBi24ABpO7eTVRVlSav/8uRx7m5OOvqjvwXOhhHaSkJa9ZQOGaMboL1l4bQDkwf/xJBpvuwGjgQQPOnguZAgONCeeSxQXT55huElNqdW3UQjrKyDnmjzf7CMqz02sXeoiopibKUFE3XrcpTUylJSwv99hu9CwRInzeP8kGDaExJ0bqaXzhKS2lMTta6DE2FZVgVASmASceBtW3gQNJ27CAilDfPHGBTTg4pBQUkaNSkqkdxGzYQsXevLnqrWphdLmy1tWoaqHUB7aFICCyAfk9HagorISU9NmzQrIbNQ4YQMJlCv9CuY+nz5uGNiKDk5JO1LuUXjg58sen+2uUKESEEJg0XJoubXzsNKAliHflBPEc9X0rGx8aSvmwZMzU8dG5jRga9li9n2+bNYXm905Y23Ihtc7kYvXgxm3NyyN21qx2rapuM5vdhq8tFkUY3fOtBeI6smgNKz+tWCMHaHj3oXVhIRCgPxDvA8uOOI66+HufSpZrVoBe91qzB6vWy8YQTtC7lV6IrKwGo1eOlryEUlmFVrPPG0BZre/TAHAgwYMcOzWpY3707DTYbMZ99plkNepG9bBnlKSmUdOumdSm/ElVZiRSCehVW4Wcf4EX/YbU7KYny6GgGa3RNF4DPYmF1z55EzZ+P6MA9V3F799Jl5042HX+87s7Xiq6qoj4mhkAYTtPbIizDSgpBsRC67WL/hRD8nJVFnz17sHs8mpWxrE8fTI2NRM2bp1kNWstevpyAycTm4cO1LuU3oisrO/wUEMI0rED/jaEt1mZlYfX76a/hgu6OlBQ8GRnEfP65ZjVoyeT303fFCnZkZ9Ogg03LB4qqqqJOhVV4h1WqAcJqR2oq1RERDNq+XbsihKB28mScy5ZhKSo68p8PM91yc4msrWWTzhbWAZCS6KoqNbIijMOq2CAjK9k8Fey3axfWg11XFSI155yDkJLomTM1q0Er2cuX0xAVxc7sbK1L+Q1HQwNWj4fauDitS9Fc2IZVoRBEA9EGCKy1WVnYfT767tmjWQ2+jAwac3KapoIG+JgFi7O2lswNG8gdPlyXC9hRzW0LdSqswjesWs610v0iO5CXlkadw8FgLaeCQM2UKdh27MCu4Z7FUOuzciXmQKDpKaAORTefzKGmgR0grIwwFQyYTKzLzGTAzp1Y/H7N6qgbP56A3d5xFtqlJHvZMoq7daMiNVXrag7ql4ZQNbJSYaUXa7OycHo89C4o0KyGQHQ09WPGED17NkLDVopQ6bxnD4l79+p2VAVNIyu/2UxDVJTWpWgubMOqpYvdCE8EAbZ27Uqjzab9VHDyZMxVVUR8+62mdYRC9tKl+KxWtg4dqnUph/RL24JODgHUUth+BFxCUIZxRlY+s5n13bszcMcOTIGAZnU0jBiBLykp7KeCZo+H41avZtugQXicTq3LOSTVEPr/wjasAGN0se9nbY8eRLlc9NSy18liofbss4n87jtMobxmPsR6rl+P3eXS9RQQmsNKrVcBYR5WRULQRcNRSlvldu2K22LRxVRQeL1Ez5mjaR3tKXvZMqrj4yno2VPrUg5JBAJEVler7vVm4R9WBhpZea1WNnXrxqD8fISGdXv69MHdp0/YnsQQXV5O123bmkZVOl4LiqipwRwIqJFVM/3+SwVBkRAkARYDBdbarCxiGxrI1Pio4ZrJk3GsX481L0/TOtpD9ooVAOTqfQqoeqx+JazDqtBkwgSkGCisNnbvjtdk0nwqWHv22UizmZhw234TCJC9bBl7evWiNj5e62oOq+WqNtW93iSsw6rYQF3sLVw2G5szMhiUn6/pthd/UhINp5zStFfQQOt+R5Kel0dMZaXuTgM9mJaG0Bo1sgLCPKyM1hja4uesLBJqa0lvvjJcKzWTJ2Pduzesjjzut2wZboeD7QMGaF3KEUVXVuKx23XdWhFKKqx0aEP37gSEYKCGJ4gC1I8ejT8qKmx6rmwNDfRct44tw4bht9m0LueIfjkaRmcnl2olrMOqAnBhvLCqczrZnprKIA3PZgeQDgd1EyYQNW8eor5e01qCofeaNVh0eCHEoageq18L67BCCIoM1hja4uesLNLKy0msrta0jpopUzA1NBA1f76mdQRDv2XLKEtNZV/XrlqX0irqhNBfa3VYCSHMQog1Qogv27OgYCs0yImhB1qXmQmg+VTQNWwY3vR0w08F44uLSdm9u+k0UANMq8w+H5G1taptYT9tGVndAuS2VyHtxSgnhh6oIiaGPYmJmk8FEYKayZNx/vQTluJibWs5BtnLl+M3mdick6N1Ka3S0ragpoH/r1VhJYRIByYBr7ZvOcHX0sVuM2BgrcvMJLO4mPTm68O1Ujt5MkJKOr32mvFOEZWSbps2kb1sGTv696fRIEetxO3bB6geq/21dmT1NHA3cMiGGyHE9UKIlUKIlVJHn9DfmM04gKk+n9altNlP2dlUR0Xx55kz6a5hR7s3I4Pqiy4i7u23SXz0UcMEln3jRs57/nkmv/wy7ogIlo0fr3VJrWL2ejll1izqYmPZm5GhdTm6ccSwEkKcBeyTUq463J+TUr4spcyRUuYIHa0JLDKZWGQycY/Xa4jz2PdXFRXFk1OmUG+3c/PMmfTW8Iz2fQ8/TNXllxP32mskP/ggaHii6ZFYiorofOedZEyZQmJREd9OmcL0e++lrEsXrUtrlZPmzCFh717mX3wxXodD63J0ozUjqxHAOUKIncAHwCghxDvtWlUwCcEDVitJwC0a3h5ztCpjYnjqvPMoj4nhhtmztbtq3mSi9IEHqPjjH4n98ENS7rwTdPbxNNXUkPDYY3QbN46or7+m4rrrePMvf+Hn004jYLFoXV6rpOXlMfTbb1k3YgS7+/bVuhxdOWJYSSnvk1KmSym7AxcDC6WUl7d7ZUG0xmzmY7OZP/t8dDbY6AqgJjKSp6dMoTAhgWu/+oqcrVu1KUQIym+/nbK77iJ69mxSb74Z4XZrU8v+PB46vfUW3ceMIe7VV6mbMIFd8+ZRftddeCIitK6u1awuF2Pfe4/qhASWnHOO1uXoTnj3We3nb1YrNuBenY0GWqvB4eC5c88lPzWVK+fPZ8TGjZrVUnnddeybNo3IRYvoct11iLo6bQqRkqivvqLbxIkk/eMfuPv2Zc9nn1Hy2GP4DDLl29/Izz8nurKSeZdeis9u17oc3WlTWEkpv5VSntVexbSnfJOJ1ywWrvH56GnQjblum43nzz6bTd26ccm33zJ69WrNaqm+9FJKHnsM54oVpF19NabmR+2h4li1ivSLLiL1lluQDgeFr7xC4Ztv4tbhRaWtkblxI/2XLmXVqFEUZ2VpXY4udZiRFcB/rFZcwIMGHV0BeC0WXpkwgVU9ezLlp5+YtGyZZk/nas85h+LnnsO+aRPpV1yBOQQtFtYdO0i96Sa6XnIJ1qIiSv7xD3bPnEnDaacZotnzYBx1dYz+4ANKu3Rh2YQJWpejWx0qrPYJwTMWC+f7/QzT8dOsI/Gbzbw5diw/ZGczYeVKLliyRLOTRevHjKHo5Zex7t5N+mWXYWmn8+PN5eUkTZtGt4kTifjxR8puvZWd8+ZRc+GFoMOblFtNSkZ9/DGOhgbmXX45foM8CNBChworgGetVkqBR7xew/QLHYw0mXj/9NNZOGgQp69fz2ULF2p2K07jiBEUvvkm5ooK0i+5BGsQn1iKxkbiXniBbmPGEPvhh1RfdBE758+n8sYbkQZaPD+U41avptfPP7N0wgRdtlaMbGhgsMuldRlABwyrOiH4l9XKaYEAYw26dvULIfh0xAhmDx/OiZs3c/W8eZrd6OwaMoSCt99GuN2kX3opttxj3Jnl9xMzYwbdxo0j8amnaDzxRHZ9+SWl06bhT0wMTtEai6qq4vRPPqEoM5NVo0ZpXc5B3V9ezu3NhwBqrcOFFcDrFgv5QvCIx6PpxQxBIQRfHX88M0aMYMj27Vw/Zw5WjdbkPNnZFLz3HtJqJf2KK3CsXXtUbyfi++/JmDyZzvfdh79zZ/a8+y7FL7yAt0eP4BasJSkZ8/77mP1+5l16KVKHF1dkeL308npZqJMRrP4+QiHgFYKHrVYGSMlFBl672t+iwYN594wz6LN7Nzd98QUOjfqfvFlZFLz/Pv64ONJ+/3ucP/7Y6r9ry82lyzXXkHbNNZjq6yl+6in2fPwxruHD27FibQz44Qe6bdnCknPOoTopSetyDmpUQwOACiutzTCbWSMED3q9htzkfDA/ZWfz5rhxZJaU8OeZM4lsbNSkDl9aGgXvvYc3PZ0u119P5IIFh/3zlr176XzPPWQ036hTet997Pr6a+omTTLsE77D6VRayqmzZrGzTx/WjxihdTmHNKqhgW1WK7utVq1LATpwWEkheMBmo5uUXGfATc6HsrpXL16eMIGUigpu/ewzYjU64dOflETBO+/g6dOH1D/9iegvvvjNnzHV1ZHwxBN0GzuWqC+/pOqaa9j5zTdUXX010gDHDh8NEQgw9t138ZvNfHPxxboN46hAgOMbG3UzqoIOHFYAi8xmFphM3O31EhMmoytous7rhbPPJq6ujts+/ZQEjU4bDXTqRMGbb9KYk0PnO+8k5oMPmn7D6yV2+nS6jR5N/EsvUTduHLvmzqXsnnsIxMZqUmuoDFu4kC47d/LtBRdQr+OD9U5taMCKfqaA0MHDCuBBm41E4FYDN4oezLa0NJ4791ycbje3ffYZKRUVmtQho6IoeuUVGk47jc4PPtjUKzVpEsmPPIKnd292z5hByRNP4EtP16S+UEosLOTEr75i6+DBbBk6VOtyDmt0QwOVJhNrdHTqQ4cPq7UmEx+Zzdzs8xnqMtTW2NW5M09PmYKQkls++0yzQ/ykw0HR//5H7cSJdHrvPaTFQuFLL1H49tu4DXAlVjCYfT7OfOcdXJGRLLrgAt1O/wBMUnJaQwPfRkTg11GdHT6sAB62WrEA94XZ6AqgOCGBp6ZMwWO1csvnn5PVTh3mR2S1sveJJ9jz4YfsnjWLhjPO0PUXbLCd+NVXJBYX881FF+HS+WmlQ9xu4gMBFuloCggqrADYaTLxqsXC730+ehm9UfQgyjp14qkpU6iOiOBPX3xB3927tSnEbMY1ZAh0sC0lqfn5DF24kA0nnsjOfv20LueIRtXX4wW+U2GlT49arTQCD4Xh6AqgKjqap6dMoaRTJ/4wezaDt2/XuqQOwep2M+6996iNi2Px5Mlal9MqoxoaWOFwUKezRlV9VaOhUiF42mplit/P8DBpFD1QXUQEz06ezO7kZK6ZO5cTNm/WuqSwd8rMmcSWlzPvsssMcURxutdLbx11re9PhdV+nrNY2IfxNzkfTqPdzn/PPputaWlcsWABI9et07qksJWRm8vAH39k9emnU2SQrUKjW7rWIyM1ruS3VFjtp14I/mm1cmogwJlhuHbVwmOz8eKkSfycmcnvlixh3MqVYRvOWrHX1zP2gw8oT0nhp4kTtS6n1c5oaCDPamWXTrrW96fC6gBvWCzkCcHfPB5MYfwF7LNYeO3MM1neuzfnLFtGwuOPq8AKojNmzMBZW8vcyy7Dr8Mv/IOJCgQ4obFRd08BW6iwOoBPCKZZrfSXkovDdO2qRcBsZvqYMSzu35/4V14hado0COMRZaj0WrOG41avZvmZZ1LatavW5bTaKQ0N2IAFKqyM4zOzmZUmEw94vdjDfLQhheCjkSOpuO46Or3/Pp3vvlt3V2wZSUR1NWd8/DF7MzJYMWaM1uW0yaiGBqpMJlbr9EGACquDab5rMENK/hBGm5wPSQjK77qLsttvJ2bWLFL//Gd9XLFlNFIy5sMPsXq9zL3sMqSBjls2ScnpDQ18p7Ou9f21S3eeEAKrQebph/KT1cp8v5+7fT7eczqpFoKvvvpK67Lajbd5NHX6iBFcsmAB3vHjeWHcONwG/3fctm1byF5rYlERmVu28FyvXny2dGm7v15tbW3Q3tZwr5eEQIDZQgT17bZV4DDLEGpkdRgPOxzESsktHWiU8W2/frxx+ukcV1TELXPm4OxA7/uxSG1s5Ma8PFZ36sTnaWlal9NmY91ufMAiHR/No8LqMDaYzXxstXKD201qB1p4Xtq7Ny+PGUO30lLu+PJLojU6xM8IIn0+ziwu5u/r1xMAHu3bF6nTadThjPN4WGq1Uq2zrvX96bcynfiHw4EJuFcnN3yEyprMTP47fjydq6q4c9Ys4rS6dVmHrH4/p+7bx7QNG5jxww/cs3kzdr+ff2Vns0+ni9OH09XvJ9vvZ56OR1XQTmtW4WS3ycRrNht/8Hh41+Nhu87/QYMpNz2dpydN4uavvuKuWbN4etIk9oX54XiHYgoEGFpVxaiSEk4pLSXK76fCZuOLLl1YkJzM5pgYw54iMdbjAdB9WAnZDo/mLRaLjNL5MRhtER8IsLa2lqUREdyQkqJ1Oe1izGEes3ctK+OWOXMICMHTkyZRFB8fwsqOzTEtsEtJdk0No0tKOG3fPuK9XurMZpYkJbGgc2fWdupEQMNp04YNG4Lydj6sqqJrIMDJOvh3raysxOv1HjT11ciqFSpMJp6x23mgoYGhLpdu+1Day57ERB4/+2xunT2bO7/4gmcnTGBncrLWZbWb7nV1jC4pYdS+faS6XHhMJn5KSGBB584si4/Ha6CWhCOJDAQ42evlNadT61KOSI2sWilCStbW17PLauXi1FTDDvkP5XAjqxYJNTXcNns20S4X/zvzTLbq8AbhA7V2ZNW5sZFR+/YxqqSEHvX1+IVgVVwcCzp35ofERBp0eAZXMEZWk9xu3qipYXJsLD/qYBqoRlZB0CAEz8bF8feyMkY1NOhyV3p7K4+J4bFzzuHWOXO4+auveGnsWDZkZGhd1lHr5PFwenNA9a+pAWBDTAzP9OrFd8nJVOngi7e9jXO7qRKC5Qbop1Nh1QYfR0dzTXU1d1VU8G1EBIEwG121RnVkJI+ffTa3zJnDjXPn8vqoUaw0yPEnABE+H6eUljK6pIShVVWYpWR7ZCSvZGWxMDmZEgNMh4LFJCVjPB4W2mz4DPC5rMKqDXxC8HhcHM/v28eUujpmREdrXZIm6h0OnjzrLG6aO5epCxZg93r5oU8frcs6JKvfz4kVFYwqKeGk8nJsgQDFDgfvZ2SwMDmZnWG2ZNFaQ3w+kqTU/VPAFiqs2mhuZCRr7XZuq6jgy8hI3DpuomtPLpuNZydM4I/z53Pl4sU4PR6+GThQ67J+YQoEOK6oiCm5uf/famC18mVqKgs7d2aTgVsNgmWcx4MPWKjCKkwJwX/i43m/uJgra2p4RccXVbY3r8XC8+PGMXXhQi5cuhSHx8OXw4ZpFwJSkrlvH8O3bydn+3ZiGxupb241WNi5M6s1bjXQmzPdbpZbrVQZ5GOiwuooLHc6WeR0ckNVFR9GR1MTRo+y28pvNvPq6NG4Fi/m7NWrcXq9fHziiSENrNSKCo7fvp3heXkk1dbiNZtZl5HBih49+NzjwdOB/30OJb25a32agdpwVFgdpcfi4/mysJA/VlXxaEKC1uVoKmAyMf2003DZbIxZvx6Hx8M7p56KbMfv2PG1tQxvDqiuFRUEhCA3LY3ZQ4eyJjMTV/PUxhPCUxeMZFxz1/pcg0wBQYXVUdtit/N5VBS/r6lhemwsxTrswwklKQQfnXQSjTYbZ61ejcPr5fUzzsAfxFFNVGMjw/LzOT4vj54lJQBs79yZD04+mZVZWdTq9IRLPRrrdpNvNrPdQKPOjv0VdoyeiotjUl0df66s5L6kJK3L0Z4QfJGTg8tq5YJly7B7vbw0dizeYwhyu8fD4J07OX77dvoWFGCWksK4OD4fPpwVPXpQFhMTxHegY4iUklO8Xt5wOg31kEGF1TEoslqZHhvL1dXVvB4byzYDDanb0/xBg3DZbFy6ZAk3f/UVz5955i/Tstaw+Hz037OH4du3M3DXLmx+P2VRUcwbNIjlPXsaam+iHp3m8WDHWFNAUGF1zF7o1ImLamq4o6KCP4bpJuejsaRvX1xWK1cvWsSts2fz3IQJ1B9mMVc0txoM376doTt2EOHxUONw8EOfPizv0YP8zp0NNQrQs7EeD9VCsMwAXev7U2F1jKrMZl7s1Im7KisZ5nKxykBPV9rbip49cVutXP/NN9zxxRc8PWkSNfuvK0lJ99JSjs/L+6XVoNFqZU1mJit69GBzWppqNQgyISVj3W7DdK3vT4VVELwZG8uVNTXcU17O77p0USOA/azr1o3nxo/nxrlzfzkTy+bzMTwvj+NbWg1MJtZnZLCiZ0/WZ2Qc0xqXcnhDfD6SDdS1vj/1WREELpOJZ+Li+GdZGWMaGvimA25yPpwtaWm/HOI37aOPsPn9BIRgc5cuzBk6lDXdu9Not2tdZocw1uPBj3G61venwipIPomOZmp1NXdWVLBIx9cZaWVH5848cfbZnL1qFVu6dGFVVtavp4RKSLR0rVcacHptvIp1yi8Ej8fH08vr5TwNrzLSs8KEBF4cN45F/furoNJAmt9Pf7+f+QYcVUErw0oIsVMIsV4IsVYIsbK9izKqeRERrLbbuaWyEkcHug1HMYaxBuxa319bRlZnSCkHSylz2q0aoxOCR+PjSfX7ubL5MDdF0YtxHg87TCa2GahrfX9qGhhkK5xOFkREcENVFXF+v9blKArQdNb6KR4P8+x2wz6tbm1YSWCeEGKVEOL6g/0BIcT1QoiVQoiVh7sCuiN4LD4eeyDACyUl2Dv4x0LRnl1KXq2pwQbMNPBT19aG1SlSyqHABOAmIcTIA/+AlPJlKWWOlDLHZMAnDcG0zWbjjuRkhrlcPLtvH+Z2uJRDUVrDKiWv1dQw2uvljqgoVhqsa31/rUoVKWVh8//3AZ8Bx7dnUeHgq6goHkpMZExDA38vKwMVWEqIWaTklZoaxnk83B0VxbsGP1/+iGElhIgUQkS3/BgYBwTndsUw915MDM906sTvamu5s7JS63KUDsQsJS/W1DDR4+G+qCjeNHhQQeuaQjsDn4mmRTkL8J6U8ut2rSqMPBsXR6Lfzw1VVZSbTLzRgY9BVkLDLCX/q63lHI+HByMjDXGBaWscMayklPnAoBDUEp6EYFpiInGBAH+tqKDCbGZmB70VR2l/Jil5traW89xuHomM5MUwar7t2CvhIRIQgjuSk/nR4eA/paWc1tCgdUlKGBJS8mRdHRe63fwrIoLnwiioQIVVyHiE4IaUFLbYbPy3pITBLpfWJSlhREjJY3V1XOpy8XhEBE+F4WZ6FVYhVGcycU1KCqVmM6/u3UuP5u0PinJMpORfdXVc6XLxtNPJo2E2omqhwirEyi0WrkpNxSsEbxUXk+rzaV2SYmRS8kh9Pde4XPzP6eSfkZGG7VA/EhVWGthjtXJ1SgpRgQBvFBfTSW3LUY6GlDxUX88fGht5yenk4TAOKlBhpZnNdjvXpaSQ4fPx6t69ONW2HKUtpOT++npuamzkNYeDB8I8qECFlaZWOJ3ckpzMQLeb/5aUYFFd7korXbVzJ7c2NvK2w8H9UVFhH1Sgwkpz8yMj+WtiIqc3NvLv0lKECizlCC7fuZOrdu7kXYeDu6KikB0gqEAda6wLH8XEkOD3c2dlJRVmM/+Mj+8Q3ymVtrt41y6u2bGDeZ07c4ff32GCCtTISjde6NSJN2NimFpdzfXV1VqXo+jQBbt3c31+PguSk3m0b18CHSioQI2s9EMI/p6QQLzfzz0VFdSZTLwXHa1GWAoAUwoKuHH7dr5NSuJfHTCoQI2sdEUKwd3JyXzndPJIWRnvFhfT1+3WuixFY+cUFnLztm0sSUzkH9nZHfbi1475XuuYVwiuS0nhwYQEens8zCos5B+lpSSo5tEOaVJREbdu3cqPCQk80q8f/g4aVKDCSpf8QvBubCyju3blzZgYzq+tZcGePVxfVYVNPS3sMM4sLua2LVtYFh/Pw/374+vAQQUqrHStxmzmH4mJTEhPZ7nTyT0VFXy9Zw/j6uvVyaNhbszevdy1eTOr4+J4sH9/vB08qECFlSHssNm4PiWFq1JScAvBCyUlaj0rjJ1RUsI9ubn83KkTDwwYgNegV2cFmworA/k+IoKz0tPVelYYG7lvH/fn5rIhNpa/DByIWwXVL1RYGcyh1rOuU+tZhndyaSl/3bSJ3Oho7h84EJcKql9RYWVQ+69nrXA6uVetZxnaiWVlPLRxI1ujo7l30CAaLaoF8kAqrAxuh83GdSkp/H6/9ax3iovpo9azDGN4eTnTNmxge1QU9wwcSIMKqoNSYRUmljSvZz2UkEAfj4cvWtaz1FlZuja0ooJHNmxgV2Qk9wwaRL2BLyFtb0K2w5TBarXKhISEoL9drZWUlGhdQqt0Ah4E/gQ0Ao8AzwKHO0Q5KSmp/QvTQH19vdYlHNKpfj+fut3kC8EEh4OKNm6hsRv4KvhDqampwefzHfQDoUZWYagKuB0YACwGHgM2AudqWJPyayf7/cxwu9kpBGcdRVB1RCqswtgW4GzgTJpGVZ8DC2gKMUU7xzePqAqag6pUBVWrqLDqAOYBA4GbaLqtdg3wIhCeEz99G+b387nbTYkQTLTbKVFB1WoqrDoIP/A80BN4DrgG2AbcCdg0rKsjGRwIMNPtpqI5qPaqLTRtoj5aHUwVcBtNU8El/P961gS3W/VntaMBgQBfuFzUCMEEu51CFVRtpj5iHdSB61lv1dTwSXU12WrrTtBlNwdVQ/OIao8KqqOiPmodXMt61r1RUfT3+VhQWcnjtbUkqqvBguK4QIDZLhfe5hHVThVUR0195BT8wOtOJyfGx/Oq08klLhdLKyq4saFB7Tc8Br0CAea4XASAiXY7+Sqojon66Cm/qDKZeCAqitPi4lhmtTKtvp4lFRWMV+tZbZYVCDDH7cYMTHI42KaC6pipj6DyG3kWC5fFxnJRbCweIXhbrWe1SbfmoLJJyUSHg80qqIJCfRSVQ1pks3FGXJxaz2qDroEAX7ndRErJ2Q4Hm1RQBY36SCqH5RPioOtZNzQ0YFVTw1/p0jyiim0OqnUqqIJKfTSVVjlwPevh+nqWVFaq9axmKc0jqgQpOcduZ60KqqBTB+cobdKynnWGx8Pf6up4u6aGxVYrD0ZFsSmcz2GSkgSgq5RkBAJkSEmGlL/8PEtKBHCO3c4qdcJnuwjjzy6lPbWsZ13pcnF3fT0LKit5x+HgP5GRlBlwVCGkpLOUdGsOof2DqGvzz6MO+Dt1wG4h2C0Ey81m3jabWaOCqt2o86zawCjnWR2NYznPqlMgwJ0NDVzT2EiDEDwREcGrTideHWzSbTnPyiIlac2h022/IGoJpXQpOfB0qHJgjxDsMpnY0xxKu4Vgj8nEbiGoANDwfexo51mpsGoDFVaH18vnY1p9PWM9HvLNZh6KjGSuzRaSL2inlKT5/XQNBEj3++na/ONUr5cMKUmVkgPHPMX7BdCBQbRbCOp1ELaH09HCSk0DlaDZdsB61vTm9awHoqLIPcb1rJhA4JcgSg8EmsKo+cfpfj9JB3zT9QGFJhO7gO9aAmi/ICoQAo/Ow0j5NRVWStC1rGdd1byetbCykunN61nlB1vPkpIkKX8VRC0/zmj+f8wBYdQIFJjNFJhMrLfbKTCZKDCb2WM2s8dkYq/JREAIXR9rrLSNmga2gZoGtt2B61kvOp344P9DqXlk5Dzg79U0T8n2NAdSSxAVNP9amRCtml6Gc1h1tGmgCqs2UGF19Hr5fDxcX88YT9O1FaVCNAXQAUHU8ms1QXqiqMLKWNSalaK5bRYLl8bGkuL3U20y0ajWi5Q2UmGlhNRe1YekHCXjde8pitIhtSqshBCdhBCfCCE2CyFyhRAntXdhiqIo+2vtNPAZ4Gsp5QVCCBsQ0Y41KYqi/MYRw0oIEQuMBH4PIKX0cPibyBVFUYKuNdPATKAUeEMIsUYI8aoQIvLAPySEuF4IsVIIsTKgDmdTFCXIWhNWFmAo8IKUcghQD9x74B+SUr4spcyRUuaYDLjrXlEUfWtNqhQABVLKZc0//4Sm8FIURQmZI4aVlHIvsEcIcVzzL40GNrVrVYqiKAdo7dPAm4F3m58E5gNXt19JiqIov9WqsJJSrgVy2rcURVGUQ1Mr4YqiGIIKK0VRDEGFlaIohqDCSlEUQ1BhpSiKIaiwUhTFEFRYKYpiCCqsFEUxBBVWiqIYggorRVEMQYWVoiiGoMJKURRDUGGlKIohqLBSFMUQVFgpimIIKqwURTEEFVaKohiCCitFUQxBhZWiKIagwkpRFENQYaUoiiEIKWXw36gQpcCuoL/hg0sEykL0WqGk3i/jCdf3LZTvVzcpZdLBfqNdwiqUhBArpZRhd02Yer+MJ1zfN728X2oaqCiKIaiwUhTFEMIhrF7WuoB2ot4v4wnX900X75fh16wURekYwmFkpShKB6DCSlEUQzBsWAkhxgshtggh8oQQ92pdT7AIIV4XQuwTQmzQupZgEkJ0FUIsEkJsEkJsFELconVNwSCEcAghlgshfm5+vx7WuqZgE0KYhRBrhBBfalmHIcNKCGEG/gdMALKBS4QQ2dpWFTRvAuO1LqId+IA7pJTZwInATWHyb+YGRkkpBwGDgfFCiBO1LSnobgFytS7CkGEFHA/kSSnzpZQe4APgXI1rCgop5WKgQus6gk1KWSylXN3841qaPvnTtK3q2Mkmdc0/tTb/FzZPrYQQ6cAk4FWtazFqWKUBe/b7eQFh8InfUQghugNDgGUalxIUzdOktcA+YL6UMizer2ZPA3cDAY3rMGxYKQYlhIgCZgC3SilrtK4nGKSUfinlYCAdOF4I0V/jkoJCCHEWsE9KuUrrWsC4YVUIdN3v5+nNv6bomBDCSlNQvSul/FTreoJNSlkFLCJ81hxHAOcIIXbStNQySgjxjlbFGDWsVgC9hBCZQggbcDEwS+OalMMQQgjgNSBXSvmk1vUEixAiSQjRqfnHTmAssFnTooJESnmflDJdStmdpq+xhVLKy7Wqx5BhJaX0AX8C5tK0UPuRlHKjtlUFhxDifeAn4DghRIEQYqrWNQXJCOAKmr47r23+b6LWRQVBKrBICLGOpm+i86WUmj7iD1dqu42iKIZgyJGVoigdjworRVEMQYWVoiiGoMJKURRDUGGlKIohqLBSFMUQVFgpimII/wekLglLipe6QwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_9r = img[:,:,0].copy()\n", + "str_9r = str_9r[277:284,1071:1076]\n", + "plt.imshow(str_9r, cmap='Reds')\n", + "plt.show()\n", + "\n", + "p0 = [13, 3, 6, 0.8, 1.4, 0, 0]\n", + "determinar(str_9r,p0,FWHM_xir,FWHM_yir, incer = str_9r.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 10" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[214.94414166 1.08939095 0.9932327 2.27855954 2.86276987\n", + " 1.57713906 79.07029388]\n", + "2.565319646114155 2.338884281994375\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_10r = img[:,:,0].copy()\n", + "str_10r = str_10r[43:49,883:889]\n", + "plt.imshow(str_10r, cmap='Reds')\n", + "plt.show()\n", + "\n", + "p0 = [700, 3.4, 6, 0.8, 1.4, 0, 0]\n", + "determinar(str_10r,p0,FWHM_xir,FWHM_yir, incer = str_10r.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Los valores para el Full Width at Half Maximum (FHWM)\n", + "Considere el valor en dirección x & en dirección y. Saque la desviación estándar, el promedio, la mediana y el histograma" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.14842142 2.30506295 5.5142339 1.72950246 2.50843131 2.50290019\n", + " 4.66146595 2.89684851 3.00258943 2.56531965]\n", + "1.1220401417419346\n", + "2.9834775770762554\n", + "2.536875478494914\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "FWHM_xir = abs(np.array(FWHM_xir))\n", + "print(FWHM_xir)\n", + "stdxir = FWHM_xir.std()\n", + "print(stdxir)\n", + "meanxir = FWHM_xir.mean()\n", + "print(meanxir)\n", + "medianxir = np.median(FWHM_xir)\n", + "print(medianxir)\n", + "plt.hist(FWHM_xir.flatten())\n", + "plt.title('Valores FHWM en la dirección x para la image roja')\n", + "plt.xlabel('Valor FHWM')\n", + "plt.ylabel('No de imagénes con ese valor')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.35625354 2.5658509 5.16479204 2.28766176 2.92976514 2.03093264\n", + " 5.33874947 2.09118186 2.16308877 2.33888428]\n", + "1.1882827213448535\n", + "2.9267160396079794\n", + "2.347568909171641\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "FWHM_yir = abs(np.array(FWHM_yir))\n", + "print(FWHM_yir)\n", + "stdyir = FWHM_yir.std()\n", + "print(stdyir)\n", + "meanyir = FWHM_yir.mean()\n", + "print(meanyir)\n", + "medianyir = np.median(FWHM_yir)\n", + "print(medianyir)\n", + "plt.hist(FWHM_yir.flatten())\n", + "plt.title('Valores FHWM en la dirección y para la image roja')\n", + "plt.xlabel('Valor FHWM')\n", + "plt.ylabel('No de imagénes con ese valor')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Canal verde" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "FWHM_xig = []\n", + "FWHM_yig = []" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 1" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[194.58735935 0.87499245 0.96168531 1.99756044 2.04355755\n", + " -0.315852 68.48717297]\n", + "2.060449762326214 2.2645958531909964\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_1g = img[:,:,1].copy()\n", + "str_1g = str_1g[283:288,890:895] \n", + "plt.imshow(str_1g, cmap ='Greens')\n", + "plt.show()\n", + "\n", + "p0 = [71, 1.5, 11, 1, 1, 0, 0]\n", + "determinar(str_1g,p0,FWHM_xig,FWHM_yig, incer = str_1g.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 2" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[202.16491005 1.00204564 1.05684175 2.36233933 2.22523495\n", + " -3.24379486 71.25427427]\n", + "2.35963715103674 2.4886721282798\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_2g = img[:,:,1].copy()\n", + "str_2g = str_2g[252:257,949:955]\n", + "plt.imshow(str_2g, cmap='Greens')\n", + "plt.show()\n", + "\n", + "p0 = [22, 1.3, 2.5, 4, 1, 0, 0]\n", + "determinar(str_2g,p0,FWHM_xig,FWHM_yig, incer = str_2g.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 3" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[168.35593595 2.52518256 2.46583528 8.20589042 6.75978717\n", + " -1.67205716 96.27653287]\n", + "5.946350509252893 5.806598337482345\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_3g = img[:,:,1].copy()\n", + "str_3g = str_3g[309:324,619:636]\n", + "plt.imshow(str_3g, cmap='Greens')\n", + "plt.show()\n", + "\n", + "p0 = [50, 15, 10, 4, 1, 0, 0]\n", + "determinar(str_3g,p0,FWHM_xig,FWHM_yig, incer = str_3g.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 4" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[181.55452689 0.73372479 0.98023727 1.94887108 2.25037477\n", + " 3.05065648 77.61482048]\n", + "1.7277898473442026 2.3082823783862074\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_4g = img[:,:,1].copy()\n", + "str_4g = str_4g[18:23,607:612]\n", + "plt.imshow(str_4g, cmap='Greens')\n", + "plt.show()\n", + "\n", + "p0 = [14, 3.4, 6, 0.9, 1.4, 0, 0]\n", + "determinar(str_4g,p0,FWHM_xig,FWHM_yig, incer = str_4g.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 5" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[171.08439474 1.09751253 1.27162261 4.58951748 4.21422199\n", + " 3.22642819 113.06046966]\n", + "2.5844445024818627 2.994442416716548\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_5g = img[:,:,1].copy()\n", + "str_5g = str_5g[347:356,542:552]\n", + "plt.imshow(str_5g, cmap='Greens')\n", + "plt.show()\n", + "\n", + "p0 = [17, 3.4, 6, 0.8, 1.4, 0, 0]\n", + "determinar(str_5g,p0,FWHM_xig,FWHM_yig, incer = str_5g.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 6" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[157.82945535 0.84466944 1.05013524 2.09746462 1.69957051\n", + " -0.21827805 104.40660141]\n", + "1.9890445292987982 2.4728795039574236\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_6g = img[:,:,1].copy()\n", + "str_6g = str_6g[295:300,307:312]\n", + "plt.imshow(str_6g, cmap='Greens')\n", + "plt.show()\n", + "\n", + "p0 = [32, 3.5, 6, 0.78, 1.7, 0, 0]\n", + "determinar(str_6g,p0,FWHM_xig,FWHM_yig, incer = str_6g.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 7" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[142.44945667 1.81945909 2.06026126 6.18751642 5.62400824\n", + " 0.67907496 106.22773724]\n", + "4.284498726614627 4.851544509614211\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_7g = img[:,:,1].copy()\n", + "str_7g = str_7g[142:154,387:399]\n", + "plt.imshow(str_7g, cmap='Greens')\n", + "plt.show()\n", + "\n", + "p0 = [11, 2, 5, 3, 5, 0, 0]\n", + "determinar(str_7g,p0,FWHM_xig,FWHM_yig, incer = str_7g.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 8" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[132.27002448 0.97039729 1.27318881 2.15941699 2.35249593\n", + " -0.40139803 128.14877035]\n", + "2.2851110001414745 2.9981305351356577\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_8g = img[:,:,1].copy()\n", + "str_8g = str_8g[459:465,322:327]\n", + "plt.imshow(str_8g, cmap='Greens')\n", + "plt.show()\n", + "\n", + "p0 = [16, 3.43, 6.4, 1, 0.5, 0, 0]\n", + "determinar(str_8g,p0,FWHM_xig,FWHM_yig, incer = str_8g.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 9" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[193.35932279 1.23687204 0.89029534 2.10755642 3.13488928\n", + " 1.72376695 61.15734226]\n", + "2.9126110808108847 2.0964853040996143\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_9g = img[:,:,1].copy()\n", + "str_9g = str_9g[277:284,1071:1076]\n", + "plt.imshow(str_9g, cmap='Greens')\n", + "plt.show()\n", + "\n", + "p0 = [10, 3, 6, 0.8, 1.4, 0, 0]\n", + "determinar(str_9g,p0,FWHM_xig,FWHM_yig, incer = str_9g.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 10" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[223.03027334 0.97687939 1.06282319 2.28196065 2.86747905\n", + " -15.75893458 61.71980515]\n", + "2.300375167201353 2.5027573548739817\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_10g = img[:,:,1].copy()\n", + "str_10g = str_10g[43:49,883:889]\n", + "plt.imshow(str_10g, cmap='Greens')\n", + "plt.show()\n", + "\n", + "p0 = [10, 3.3, 3, 0.9, 1.4, 0, 0]\n", + "determinar(str_10g,p0,FWHM_xig,FWHM_yig, incer = str_10g.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Los valores para el Full Width at Half Maximum (FHWM)\n", + "Considere el valor en dirección x & en dirección y. Saque la desviación estándar, el promedio, la mediana y el histograma" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.06044976 2.35963715 5.94635051 1.72778985 2.5844445 1.98904453\n", + " 4.28449873 2.285111 2.91261108 2.30037517]\n", + "1.1372820062135576\n", + "2.845031227650905\n", + "2.330006159119047\n" + ] + }, + { + "data": { + "image/png": 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sV8+9nEhKGL8nJa8zSTfXLCSdIO2Rp/sw6YSqefwPkhL1T/O49wD2iIiXuxsjvP4XmAuAEyLi7oh4mFRyPj+XfjpyO2mbewb4DrBXRMzNsR+e5+s50r7Q6b83gB+T7gF5hnT/x+96EH5P9re+6Gq7OR54jLSe/wBcTjoJ68520BsXkQoeFzVa9HI6n2bJvR3fJBVoGuObRbpv5xjS/j6LdEPqMsfIPO09SPcv/ZO0LBrP9jgLOJ9UIPgHadl9oZvzuTNwn6RFwE9I1/5fHKj5yP33ZhsuannMiIi5pHV0FOkGw6+Qnr/xTA/G31HMLZd/RFxFqi25JOeNe4FduhjlccC5StXln2ya1svAx0jH42fzdK4sdH+ItD/8gXTs6o+Hp11EOk4+QroM2tnDgn5CWl+/l7SQdEzpqOC0lMbdsmbWAUkHkG72fE/ZsVSVpENISWqHsmMxs6617cMbzKx3JK2t9MTKFSRtQirRXVV2XGbWPcv1k4vMrBQrkv4vvB7pWvQlwCllBmRm3eeqfjMzszbiqn4zM7M24qr+ATZq1KiYMGFC2WGYmS03pk6d+kxEjO66T+sNJ/4BNmHCBKZMmVJ2GGZmyw1JPX06nvWAq/rNzMzaiBO/mZlZG3HiNzMzayNO/GZmZm3Eid/MzKyNOPGbmZm1ESf+LL/a8Q5Jd0u6T9K3OuhnJUmXSpoh6XZJE0oI1czMrNec+Jd4CXh/RGxOetXnzpK2bernc8BzEbEh8CPS6x/NzMyWG078WSSLcuOw/Gl+kcGewLn59+XATpI0SCGamZn1mZ/cVyBpCDAV2BD4WUTc3tTLGGAWQEQsljQfWAt4pmk8BwMHA4wfP77X8Uw4+re9HnZ5NfN7u5UdgplZrbnEXxARr0bEFsBYYGtJb+vleE6PiIkRMXH0aD9u2szMqsOJvwMRMQ+4Hti5qdPjwDgASUOB1YG5gxqcmZlZHzjxZ5JGS1oj/x4OfBB4oKm3ScD++fdewJ8iovk+ADMzs8ryNf4l1gbOzdf5VwAui4irJR0PTImIScCZwPmSZgDPAnuXF66ZmVnPOfFnEfE3YMsO2h9b+P0v4BODGZeZmVl/clW/mZlZG3HiNzMzayNO/GZmZm3Eid/MzKyNOPGbmZm1ESd+MzOzNuLEb2Zm1kac+M3MzNqIE7+ZmVkbceI3MzNrI078ZmZmbcSJ38zMrI048ZuZmbURJ34zM7M24sRvZmbWRpz4zczM2ogTv5mZWRtx4jczM2sjtUr8koZIur7sOMzMzKqqVok/Il4FXpO0etmxmJmZVdHQsgMYAIuAeyRdBzzfaBkRh5cXkpmZWTXUMfFfmT9mZmbWpHaJPyLOlbQisHFu9WBEvFJmTGZmZlVRu8QvaUfgXGAmIGCcpP0j4sYSwzIzM6uE2iV+4IfAhyLiQQBJGwMXA+8oNSozM7MKqNVd/dmwRtIHiIiHgGGdDSBpnKTrJd0v6T5JR3TQz46S5kualj/HDkDsZmZmA6qOJf4pks4ALsjN/w5M6WKYxcBREXGXpJHAVEnXRcT9Tf3dFBG793O8ZmZmg6aOif8Q4FCg8fe9m4BTOhsgImYDs/PvhZKmA2OA5sRvZma2XKtd4o+Il4AT86fHJE0AtgRu76DzuyTdDTwBfDki7msxjoOBgwHGjx/fmzDMzMwGRG0Sv6R7gGjVPSLe3o1xrApcARwZEQuaOt8FrBsRiyTtCvwK2KjFtE4HTgeYOHFiy5jMzMwGW20SP9Cna++ShpGS/oURscwDgIonAhExWdIpkkZFxDN9ma6Zmdlgqk3ij4hHezusJAFnAtMjosNLBJLeDDwVESFpa9I/Iub2dppmZmZlqE3ib5C0LfBT4K3AisAQ4PmIWK2TwbYD9iM9439abncMMB4gIk4D9gIOkbQYeBHYOyJcjW9mZsuV2iV+4GRgb+CXwETgMyx5fG+HIuJm0lP+Ouvn5DxuMzOz5VYdH+BDRMwAhkTEqxFxNrBz2TGZmZlVQR1L/C/kl/RMk/R90v/za3mCY2Zm1lN1TIj7kebrMOB5YBzw8VIjMjMzq4g6lvjfAfw2//3uW2UHY2ZmViV1LPHvATwk6XxJu0uq48mNmZlZr9Qu8UfEgcCGpLv69wH+nl/aY2Zm1vZqWRqOiFckXUN6hO9w4KPAQaUGZWZmVgG1K/FL2kXSOcDDpJv6zgDeXGpQZmZmFVHHEv9ngEuBz+c39ZmZmVlWu8QfEfuUHYOZmVlV1a6q38zMzFpz4jczM2sjtUz8koZL2qTsOMzMzKqmdolf0h7ANOB3uXkLSZNKDcrMzKwiapf4geOArYF5ABExDVivvHDMzMyqo46J/5WImN/ULkqJxMzMrGJq93c+4D5JnwaGSNoIOBz4S8kxmZmZVUIdS/xfADYDXgIuBhYAR5YZkJmZWVXUrsQfES8AXwe+LmkIMCIi/lVyWGZmZpVQuxK/pIskrSZpBHAPcL+k/y47LjMzsyqoXeIHNo2IBaQ38l1DuqN/v1IjMjMzq4g6Jv5hkoaREv+kiHgF39VvZmYG1DPx/xyYCYwAbpS0LukGPzMzs7ZXx5v7TgJOKrR6VNL7yorHzMysSmpX4pf0JklnSromN28K7F9yWGZmZpVQu8QPnANcC6yTmx/C/+M3MzMD6pn4R0XEZcBrABGxGHi1q4EkjZN0vaT7Jd0n6YgO+pGkkyTNkPQ3SVv1f/hmZmYDp3bX+IHnJa1FvpNf0rZA87P7O7IYOCoi7pI0Epgq6bqIuL/Qzy7ARvmzDXBq/jYzM1su1DHxfwmYBGwg6RZgNLBXVwNFxGxgdv69UNJ0YAxQTPx7AudFRAC3SVpD0tp5WDMzs8qrXeLPJfYdgE0AAQ/m//J3m6QJwJbA7U2dxgCzCs2P5XZLJX5JBwMHA4wfP74nk257E47+bSnTnfm93UqZrpnZYKvjNX4iYnFE3BcR9/Yi6a8KXAEcmZ8A2Jvpnx4REyNi4ujRo3szCjMzswFRy8TfW/mJf1cAF0bElR308jgwrtA8NrczMzNbLjjxZ5IEnAlMj4gTW/Q2CfhMvrt/W2C+r++bmdnypHbX+AEkjQHWpTB/EXFjF4NtR3qZzz2SpuV2xwDj8/CnAZOBXYEZwAvAgf0auJmZ2QCrXeKXdALwKdLd+I3/7wfQaeKPiJtJNwN21k8Ah/ZDmGZmZqWoXeInvZVvk4h4qexAzMzMqqaO1/gfAYaVHYSZmVkV1bHE/wIwTdIfgddL/RFxeHkhmZmZVUMdE/+k/DEzM7MmtUv8EXGupBWBjXOrHj+5z8zMrK5ql/gl7QicC8wk3aU/TtL+3fg7n5mZWe3VLvEDPwQ+FBEPAkjaGLgYeEepUZmZmVVAHe/qH9ZI+gAR8RC+y9/MzAyoZ4l/iqQzgAty878DU0qMx8zMrDLqmPgPIT1dr/H3vZuAU8oLx8zMrDrqmPiHAj9pvGhH0hBgpXJDMjMzq4Y6XuP/IzC80Dwc+ENJsZiZmVVKHRP/yhGxqNGQf69SYjxmZmaVUcfE/7ykrRoNkt4BvFhiPGZmZpVRx2v8RwK/lPQE6QE+bya9ptfMzKzt1S7xR8Sdkt4CbJJb+ZG9ZmZmWe0SP0BO9PeWHYeZmVnV1PEav5mZmbXgxG9mZtZGapf4JW0naUT+va+kEyWtW3ZcZmZmVVC7xA+cCrwgaXPgKODvwHnlhmRmZlYNdUz8iyMigD2BkyPiZ8DIkmMyMzOrhDre1b9Q0teA/YD3SloBv5bXzMwMqGeJ/1PAS8BnI+JJYCzwg3JDMjMzq4baJf6c7K9gyRv5ngGuKi8iMzOz6qhd4pf0H8DlwM9zqzHAr7ox3FmSnpbU4YN/JO0oab6kaflzbL8FbWZmNkhql/iBQ4HtgAUAEfEw8MZuDHcOsHMX/dwUEVvkz/F9itLMzKwEdUz8L0XEy40GSUOB6GqgiLgReHYgAzMzMytbHRP/nyUdAwyX9EHgl8Bv+mnc75J0t6RrJG3WqidJB0uaImnKnDlz+mnSZmZmfVfHxH80MAe4B/g8MBn4Rj+M9y5g3YjYHPgpndw3EBGnR8TEiJg4evTofpi0mZlZ/6jd//gj4jXgF/nTn+NdUPg9WdIpkkZFxDP9OR0zM7OBVLsSf35W/3WSHpL0iKR/SHqkH8b7ZknKv7cmLbu5fR2vmZnZYKpdiR84E/giMBV4tbsDSboY2BEYJekx4JvkJ/5FxGnAXsAhkhYDLwJ750cDm5mZLTfqmPjnR8Q1PR0oIvbpovvJwMm9jsrMzKwC6pj4r5f0A+BK0qN7AYiIu8oLyczMrBrqmPi3yd8TC+0CeH8JsZiZmVVK7RJ/RLyv7BjMzMyqqo539b9J0pmSrsnNm0r6XNlxmZmZVUEtEr+kfSW9OTeeA1wLrJObHwKOLCEsMzOzyqlF4gf+CJyYf4+KiMuA1wAiYjE9+FufmZlZndUi8UfEbOCQ3Pi8pLXIL+aRtC0wv6zYzMzMqqQ2N/dFRCO5fwmYBGwg6RZgNOnhO2ZmZm2vNom/ISLukrQDsAkg4MGIeKXksMzMzCqhdolf0seaWm0saT5wT0Q8XUZMZmZmVVG7xA98DngXcH1u3pH03P71JB0fEeeXFZiZmVnZ6pj4hwJvjYinIP2vHziP9ES/GwEnfjMza1u1uKu/ybhG0s+ezu2eBXyt38zM2lodS/w3SLoa+GVu/nhuNwKYV1pUZmZmFVDHxH8oKdlvl5vPA66IiAD8HH8zM2trtUv8OcFfnj9mZmZWULtr/JK2lXSnpEWSXpb0qqQFZcdlZmZWBbVL/MDJwD7Aw8Bw4CDgZ6VGZGZmVhF1TPxExAxgSES8GhFnAzuXHZOZmVkV1O4aP/CCpBWBaZK+D8ympic4ZmZmPVXHhLgfMAQ4DHgeGEe6y9/MzKzt1a7EHxGP5p8vAt8qMxYzM7OqqV2JX9Lukv4q6VlJCyQt9F39ZmZmSe1K/MCPgY+R3sYXJcdiZmZWKbUr8QOzgHud9M3MzJZVxxL/V4DJkv4MvNRoGREnlheSmZlZNdSxxP8d4AVgZWBk4dMpSWdJelrSvS26S9JJkmZI+pukrfo1ajMzs0FQxxL/OhHxtl4Mdw7pqX/ntei+C7BR/mwDnJq/zczMlht1LPFPlvShng4UETcCz3bSy57AeZHcBqwhae3eBmlmZlaGOpb4DwG+LOkl4BVApJf2rdbH8Y4h3TjY8FhuN7u5R0kHAwcDjB8/vo+TNaufCUf/tpTpzvzebqVMt0xe1tasdiX+iBgZEStExPCIWC039zXp9zSG0yNiYkRMHD169GBO2szMrFO1KfFLektEPNDqpruIuKuPk3ic9PjfhrG5nZmZ2XKjNokf+BKpev2HHXQL4P19HP8k4DBJl5Bu6psfEctU85uZmVVZbRJ/RBycv9/Xm+ElXQzsCIyS9BjwTWBYHudpwGRgV2AG6e+CB/Y9ajMzs8FVm8TfVxGxTxfdAzh0kMIxMzMbELW7uc/MzMxac+I3MzNrI7VL/PnRuvtKOjY3j5e0ddlxmZmZVUHtEj9wCvAuoHHNfiHws/LCMTMzq4463ty3TURsJemvABHxnKQVyw7KzMysCupY4n9F0hDSf/eRNBp4rdyQzMzMqqGOif8k4CrgjZK+A9wMfLfckMzMzKqhdlX9EXGhpKnATqQX9Hw0IqaXHJaZmVkl1CbxS3pDofFp4OJit4jo7JW7ZmZmbaE2iR+YSrquL2A88Fz+vQbwT2C90iIzMzOriNpc44+I9SJifeAPwB4RMSoi1gJ2B35fbnRmZmbVUJvEX7BtRExuNETENcC7S4zHzMysMupU1d/whKRvABfk5n8HnigxHjMzs8qoY4l/H2A06S99V+bfnb55z8zMrF3UrsSf794/ouw4zMzMqqiOJX4zMzNrwYnfzMysjTjxm5mZtZHaJX5JYyVdJWmOpKclXSFpbNlxmZmZVUHtEj9wNjAJWBtYB/hNbmdmZtb26pj4R0fE2RGxOH/OIf2lz8zMrO3VMfHPlbSvpCH5sy8wt+ygzMzMqqCOif+zwCeBJ4HZwF7AgaVGZGZmVhF1fIDPo8BHyo7DzMysimqT+CUd20nniIj/GbRgzMzMKqpOVf3Pd/AB+Bzw1a4GlrSzpAclzZB0dAfdD8h/EZyWPwf1Z/BmZmaDoTYl/oj4YeO3pJGk5/UfCFwC/LDVcLn/IcDPgA8CjwF3SpoUEfc39XppRBzWr4GbmZkNojqV+JH0BknfBv5GOqnZKiK+GhFPdzHo1sCMiHgkIl4mnSzsOcDhmpmZDbraJH5JPwDuBBYC/xYRx0XEc90cfAwwq9D8WG7X7OOS/ibpcknjOonlYElTJE2ZM2dOd2fBzMxswNUm8QNHkZ7U9w3gCUkL8mehpAX9MP7fABMi4u3AdcC5rXqMiNMjYmJETBw92s8OMjOz6qjTNf6+nMQ8DhRL8GNzu+L4iw8BOgP4fh+mZ2ZmVoo6lfj74k5gI0nrSVoR2Jv0vP/XSVq70PgRYPogxmdmZtYvalPi74uIWCzpMOBaYAhwVkTcJ+l4YEpETAIOl/QRYDHwLHBAaQGbmZn1khN/FhGTgclN7Y4t/P4a8LXBjsvMzKw/uarfzMysjTjxm5mZtREnfjMzszbixG9mZtZGnPjNzMzaiBO/mZlZG3HiNzMzayNO/GZmZm3Eid/MzKyNOPGbmZm1ESd+MzOzNuLEb2Zm1kac+M3MzNqIE7+ZmVkbceI3MzNrI078ZmZmbcSJ38zMrI048ZuZmbURJ34zM7M24sRvZmbWRpz4zczM2ogTv5mZWRtx4jczM2sjTvxmZmZtxInfzMysjTjxm5mZtREn/gJJO0t6UNIMSUd30H0lSZfm7rdLmlBCmGZmZr3mxJ9JGgL8DNgF2BTYR9KmTb19DnguIjYEfgScMLhRmpmZ9Y0T/xJbAzMi4pGIeBm4BNizqZ89gXPz78uBnSRpEGM0MzPrk6FlB1AhY4BZhebHgG1a9RMRiyXNB9YCnin2JOlg4ODcuEjSgwMScc+NoilWS5Tqbrx8OrfcLx8NbB3dcr98+lMHy7ony2fdfg3GluLEPwAi4nTg9LLjaCZpSkRMLDuOqvLy6ZyXT+e8fDrn5VMdrupf4nFgXKF5bG7XYT+ShgKrA3MHJTozM7N+4MS/xJ3ARpLWk7QisDcwqamfScD++fdewJ8iIgYxRjMzsz5xVX+Wr9kfBlwLDAHOioj7JB0PTImIScCZwPmSZgDPkk4OlieVu/xQMV4+nfPy6ZyXT+e8fCpCLrCamZm1D1f1m5mZtREnfjMzszbixF9zksZJul7S/ZLuk3RE2TFViaSVJd0h6e68fL5VdkxVJGmIpL9KurrsWKpI0kxJ90iaJmlK2fFUjaQ1JF0u6QFJ0yW9q+yY2plv7qu/xcBREXGXpJHAVEnXRcT9ZQdWES8B74+IRZKGATdLuiYibis7sIo5ApgOrFZ2IBX2vojwA3w69hPgdxGxV/7X1CplB9TOXOKvuYiYHRF35d8LSQfvMeVGVR2RLMqNw/LHd7wWSBoL7AacUXYstvyRtDqwPelfUUTEyxExr9Sg2pwTfxvJbxPcEri95FAqJVdjTwOeBq6LCC+fpf0Y+ArwWslxVFkAv5c0NT+y25ZYD5gDnJ0vF50haUTZQbUzJ/42IWlV4ArgyIhYUHY8VRIRr0bEFqSnNW4t6W0lh1QZknYHno6IqWXHUnHviYitSG/3PFTS9mUHVCFDga2AUyNiS+B5YJnXntvgceJvA/na9RXAhRFxZdnxVFWufrwe2LnkUKpkO+AjkmaS3lj5fkkXlBtS9UTE4/n7aeAq0ts+LXkMeKxQk3Y56UTASuLEX3P5tcFnAtMj4sSy46kaSaMlrZF/Dwc+CDxQalAVEhFfi4ixETGB9KTKP0XEviWHVSmSRuQbZ8lV2B8C7i03quqIiCeBWZI2ya12AnxzcYl8V3/9bQfsB9yTr2MDHBMRk8sLqVLWBs6VNIR0InxZRPgva9YTbwKuSufYDAUuiojflRtS5XwBuDDf0f8IcGDJ8bQ1P7LXzMysjbiq38zMrI048ZuZmbURJ34zM7M24sRvZmbWRpz4zczM2ogTv1nJ8tsTP9zU7khJp3YyzA2SJvZhmudI+kd+m9w0SYfn9jMljSr0t6Okq5U8I2nN3H5tSSHpPYV+50haS9JxuduGTfMTfYnZzPqHE79Z+S4mPRynaO/cvl/k5xQ0+++I2CJ/Tups+Ej/+70NaLxO9d3AX/M3+eEscyNibu5+D0vP0yeA+/owC2bWT5z4zcp3ObBbfrhJ42VK6wA3STpV0hRJ90n6VkcDS9onvwv+XkknFNovkvRDSXezJGH3xV/IiT5//4ilTwRuKfT7K2DPHMcGwHzAr6w1qwAnfrOSRcSzwB2kF7xAKilflkvZX4+IicDbgR0kvb04rKR1gBOA9wNbAO+U9NHceQRwe0RsHhE3dzDpHxSq+v+t0P76RnuWfhXvLSxJ/FuTnkk/Lje/m3Ri0LCA9JjWt+X5ubTrJWFmg8GJ36waitX9xWr+T0q6i1StvhmwadNw7wRuiIg5EbEYuJD07nOAV0kvZ2qlWNV/T6H9+xrtgYMK7e8EtszPox8WEYuAR/K1/OYSP6SX+uwNfJR0kmBmFeDEb1YNvwZ2krQVsEpETJW0HvBlYKeIeDvwW2DlHozzXxHxan8FGBEvAA8DnwXuyq1vA3YF3gg82DTI1aT3RPzTr4I2qw4nfrMKyKXn64GzWFLaX4307vL5kt7EkksBRXeQLgGMyjfw7QP8eQBD/QtwJHBrbr4VOAK4LZpe/JFPFL4KfGcA4zGzHnLiN6uOi4HN8zcRcTepiv8B4CKWrUonImYDR5NOGu4GpkbErwcwxluA9VmS+O8CxrL09f1ifJdExF0ddTOzcvjtfGZmZm3EJX4zM7M24sRvZmbWRpz4zczM2ogTv5mZWRtx4jczM2sjTvxmZmZtxInfzMysjfx/+TBj6xjTpDYAAAAASUVORK5CYII=\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "FWHM_xig = abs(np.array(FWHM_xig))\n", + "print(FWHM_xig)\n", + "stdxig = FWHM_xig.std()\n", + "print(stdxr)\n", + "meanxig = FWHM_xig.mean()\n", + "print(meanxig)\n", + "medianxig = np.median(FWHM_xig)\n", + "print(medianxig)\n", + "plt.hist(FWHM_xig.flatten())\n", + "plt.title('Valores FHWM en la dirección x para la imagen verde considerando incertidumbre')\n", + "plt.xlabel('Valor FHWM')\n", + "plt.ylabel('No de imagénes con ese valor')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.26459585 2.48867213 5.80659834 2.30828238 2.99444242 2.4728795\n", + " 4.85154451 2.99813054 2.0964853 2.50275735]\n", + "1.1775361127169395\n", + "3.0784388321736786\n", + "2.495714741576891\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "FWHM_yig = abs(np.array(FWHM_yig))\n", + "print(FWHM_yig)\n", + "stdyig = FWHM_yig.std()\n", + "print(stdyig)\n", + "meanyig = FWHM_yig.mean()\n", + "print(meanyig)\n", + "medianyig = np.median(FWHM_yig)\n", + "print(medianyig)\n", + "plt.hist(FWHM_yig.flatten())\n", + "plt.title('Valores FHWM en la dirección y para la imagen verde considerando incertidumbre')\n", + "plt.xlabel('Valor FHWM')\n", + "plt.ylabel('No de imagénes con ese valor')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Canal azul" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "FWHM_xib = []\n", + "FWHM_yib = []" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 1" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[196.08431561 0.86622721 0.95511986 2.01460987 2.04323191\n", + " -0.27430574 54.08557709]\n", + "2.039809207469812 2.249135380109503\n" + ] + }, + { + "data": { + "image/png": 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X03/pUkz19QAkrVvHgUmTyJwwgXo5A9QkdsfFYbHbmbNjB09s3swbo0bhkOnbXkEKRvyHkadP8/TBg6S3asUf+/eXE/iX0KqggBGffkqrwkKO9u/PzlmzMNfUMGDJEgZ89x1J69eTfuONZI8ahVNWfddsa+fOBNjt3L9nD49u28Y7KSmoUjK6JwUj/m1IURHPZWRwKDKSP0m5XJTJZqP/kiX0XLuW2vBw1j72GMf693f9wxYtWP/YY7TOz2fQN98wbOFCeq1dy75p0zgyZIh8IF6jdd26EWC3c2daGjaTiY+HDpUzVzonBSMASC4u5r/S08kPC+P3AwZgk3L5mY6ZmaR89hlhxcVkjRrFnltvpf4it2gXJySw4pe/pMOhQwz6+mtGffwxvVeuJHX6dAr79pWBn9dgec+eBNrtTD9wAJvJxGcDB8r7qWNSMIKk0lJeTEvjZHAwLwwcSI0cmPwPAZWVDP3yS7rs3ElZVBTf//rXnO3a9fL/kqJwqmdPvuvRg/i9exmwZAkT33qLM126kHrrrZxNTGye8D7omz59CLDbuSErC6vJxFf9+mkdSVyCfJL4uS7l5fxx716KAwL4r0GDqJInTP5/qkqXnTsZ8uWXmGtr2Td1KvtvuMG9PRWDgaODBlHQrx9dt22j39KlTPnb3zjepw+p06dTGhPjufy+SlFY0L8/AXY7N2VmYjWbWdarl9apxEVcsWAURfknMAUoUlVVfhV9SFxlJX9OTaXKZOK3gwZRFhCgdSTdCD13jpTPPyc6M5OznTuz9d57KevY8apfTzWZyBk1iryhQ0lav56+K1Yw/Y9/5MiQIeybNo1KuVPPPYrCp4MHE2C3MzM9HZvJxOru3bVOJX6iMSuYecBbwL88G0U0pw7V1fxfair1BgO/HTyY4qAgrSPpguJw0HPdOvovWYJqMLB91iyyRo+GJtqgdwQEcOD668kZOZI+K1fSc9064vfsIXvUKNJvvBFrRESTfB1/oCoKHw4bRoDdzj2pqdiMRjbJpUdduWLBqKq6WVGUTs2QRTSTNrW1/GXPHoxOJ78eMoTTMksMgMjCQkbMm0ebY8c41rcv2++6ixoPjcOpCwkh9dZbOTRuHMnLltFj40a6btvGwQkTyLj+euyymmwUp8HA28OH8+ymTTy4axd1JhM74uO1jiUaNNl9k4qizFYUJVVRlFRVVZvqZYUHPHPwICF2Oy8MGsTx0FCt4+hCi5MnmfLSS4SUlrLu0UdZ+8QTHiuXC9W0aMH2e+7h6z/9icI+fej3/fdMePNNjA0HN8WVOYxGXh85ksNt2/LQzp0yt0xHmqxgVFX9QFXVgaqqDlTktkHd6llSQv/z5/mic2eOhIdrHUcXgsrLmfT669gtFpa+8AIFGtz6WtGuHRvmzGHjQw/RITub0R98gCJjURqt3mRybfw7HAw+flzrOKKBnPzyM3fn5VESEMAPsbFaR9EFk83GhDffJKCqitVPPkl1q1aa5jkybBjbZ82iU1oawz/9FJxOTfN4k/xWrTgVHs7w/Hyto4gGUjB+pM/58ySXlPBlfLwcpAQUp5PRH35Iq2PH2DB7Nuc7ddI6EgBZY8eyd9o0um7fzpBFi0AuOTeOorA1IYHuRUW0kaGjunDFglEUZQGwA+imKMoJRVEe8nws0eRUlXvy8igOCGCFnL0AYPCiRcSlp7PzzjspTE7WOs5/SJ8yhYPjx9Nr7Vr6LVumdRyvsTU+HifIKkYnGnMX2Z3NEUR4Vv/z5+lVWspbSUnUy+qFpHXr6LV2LQfHjydr7Fit4/ycorBr5kwsNTX0X7oUW3Awh8aP1zqV7pWGhHAoKorhR4+ypE8fmVWmMblE5g9UlXtyczkbGMjq6Git02guJj2dIQsXciw5md0zZ2od59IMBrbedx8F/foxbOFCumzfrnUir7AlIYG2VVUknjundRS/JwXjBwYVF9O9vJyFnTtT7+cTfVsVFDDmgw84HxfHxkce0f2EY9VoZOPs2Zzs0YMR8+YRm5amdSTd2xsbS63JxIgjR7SO4vf0/adLXDtV5e7cXE4HBbHmGkad+IKQ8+eZ+OabWMPCWPPkk15zmNFhNrP28ccp7tSJse+/T/usLK0j6ZrNZGJPbCxDjh/HIo9Z1pQUjI8bWlRE14oKvujc2a+fAmiuqWHS669jrKtj9dNPU+tlI1nsgYGseuopytu1Y/xbb9FaNrEva0tCAkH19QwoLNQ6il/z308cP6A03Dl2IjiY9R06aB1HM4rdzrh33yXi7FnWPfYYZV76XtSFhrLq2Wexhocz6fXXaXHypNaRdCunXTvOhYTI3WQak4LxYSlnz5JQWckXXbrg9NfVi6qS8vnndMzKYuu993K6Rw+tE12TmhYtWDl3Lg6TicmvvkqobGRflKoobIuPp9eZM0TW1Ggdx2/56aeO7zOoKnfn5XE8JIRN7dtrHUczfVasoNvWraRNmUJuSorWcZpEZZs2rJo7F1NdHde/8gpBZWVaR9KlrQkJGFSV644e1TqK35KC8VEjTp8mrqqK+V264PTTswAJu3Yx6JtvyGt45oovKe3YkVXPPENQRQWTX30VS1WV1pF052x4OIfbtHFdJpNpCJqQgvFBBqeTu/PyOBoaypaoKK3jaKJdbi4jP/mE0127suX++33yue3nEhJY88QTRJw9y6Q33sBks2kdSXe2JiQQXV5OfEmJ1lH8khSMDxp9+jTRNTV83qWLX55kDj97lvFvvUVlq1asfewx9x5x7GVO9+jBhtmzaX30KOPffhuDjPn/D7vi4qgzGGSzXyNSMD7G6HRy15Ej5IWHs71dO63jNLuAykomvv46qqKw+umnqfOD590c69+frfffT8dDhxj90Ucy5v8CNRYL+2JiGFZQgFHel2YnBeNjxp06RYeG1YsvXha6HGN9PRPeeouQkhLWPvkklW3bah2p2eSmpLDz9tuJ37uXlM8+kz2HC2xNSCDMZiP51Cmto/gdKRgfYnI6mZWXR05EBLvatNE6TvNyOhn5z3/S7sgRNj38MEWdO2udqNllTpjAvqlT6bZ1K4NlzP+/HWjfnrLAQLlMpoErTlMW3mPCiRO0s1p5s2dPv1u9DFiyhIQ9e9h9662uJ1L6qbSbbiKguprea9ZgCwlh/5QpWkfSnNNgYHt8PBNzcgi1WqkKDNQ6kt+QFYyPMDud3Jmfz6EWLdjburXWcZpV182bSV6+nOyRIzkwebLWcbSlKOy84w5yhw1j4JIl9Fi/XutEurA1IQGT08nQY8e0juJXpGB8xOTCQtpYrXzmZ3svHTMzSfn8cwp79WL7XXf51X/7JRkMbLnvPo4lJ3PdF1/IQUOgMDKSgshImbDczKRgfIDF4eD2/HwOREaSrvEz5ZtT5IkTjH33XUo7dGDDnDmo8iC1f1NNJjbMmcOpbt2YvX07ySdOaB1Jc1sTEkgoKaGDTD5oNlIwPuCGwkJa2Wx8lpjoN9/BB5eVMfGNN6gPDGT1U09RHxSkdSTdcZjNrH3ySY5FRvLkli10P3tW60ia2hEfj11RGCGb/c1GCsbLBdjtzMzPJ61VKw60bKl1nGZhslqZ8MYbBFRXs+app6jxk//uq1EfGMjfx47lXGgoczdupNP581pH0kxFYCAZHTpw3dGjKE6n1nH8ghSMl5tSWEhkXZ3r3IsfMKgqYz74gJaFhayfM4fzsbFaR9K9qsBA/jZ2LFUWC8+tX0/78nKtI2lma0ICLWtr6XnmjNZR/IIUjBcLstuZkZ9PauvWHIqM1DqO56kqc7KyiM3IYMesWZzo00frRF6jNCSEv44fj1NR+M26dbTy0+GYadHRVFkscpmsmUjBeLGbjh0jor7edeeYH7j52DFuOn6cAxMnkj1mjNZxvE5RWBgvjRtHoN3Ob9atI7y2VutIzc5uNLKzUycGFBYSWFendRyfJwXjpYLr67m1oIBdbdpwuEULreN43LCzZ3kkO5ut7dqx+7bbtI7jtQojI/nHmDG0rKnh1+vXE+yHH7JbExIIcDgYcvy41lF8nhSMl7r52DHC6utdd475uK7l5fx6/34OR0Twcp8+4K9P52wiuW3a8PqoUXQsL2fuhg1Y7HatIzWrI61acSo8XEbHNAP5k+qFQuvruaWggG3t2nEkPFzrOB7VtqaGF/fupTQggD/0749Nzro0iQMdOvBOSgqJxcU8tXmzf00aVhS2JiTQvaiINpWVWqfxaVIwXuiWo0cJsdt9/s6xkPp6/rR3L2ankxcHDKAsIEDrSD5lT1wc/xw8mL6nTvHo9u1+devutvh4nMBwmXLgUVIwXia8ro5px46xKSqKgrAwreN4jMnp5L/T0mhfU8Of+vWj0A+e66KFTYmJLOjfn6HHjvHA7t1+M4G5JCSEQ1FRpMjjlD1KCsbL3Hr0KIEOB1/48upFVXkyM5PkkhJe79WLAzoff2OpqaHXqlX02LDBKz+slicl8V2vXozJy2NmerrWcZrN1oQE2lVV0fXcOa2j+CwZ1+9FWths3HT8OJvat+e4D39Hf0d+PhNPnuSzLl1Y17Gj1nEuy2izMeHNN4nKzQVcI2z2Tp+ucSr3Le7bl5C6OqZmZlJtsfBDz55aR/K41JgYrCYTw/PzOexHD6drTrKC8SK3HT2K2eFgvg+vXsacOsV9ubms7dCBL3T+0DDFbmfs++/TLi+P9XPmkD1yJMk//EDy999rHc19isK/Bg1ie6dO3JGWxpjDh7VO5HE2s5k9sbEMOXYMs5/dSddcZAXjJVparUw5fpz1HTpwMiRE6zge0aukhGcPHGB/y5a83quXvgd3Op2MnDeP2IwMtt5zD0cHDeLogAEY6+sZsGQJdrOZg5MmaZ3SLaqi8MF11xFUX8/9u3dTa7Gws1MnrWN51JaEBEbk5zOgsJCd8fFax/E5soLxEjPz8zGpqs/uvXSsquJ3aWmcDg7mf/v1w67nsy6qypBFi+iycyep06eTM2qU6/83GNhy//3kDxzIkK++8sqHfTkMBt4aMYLDbdsyZ9s2+p48qXUkj8pu145zISEyOsZDPLKCMRgMhPnwHU5N7YYbbrjsPw8pLWXKmjVkDx1Kfx88xR5YWcnMV17BGBjIhrlzGXmFTf2HHnqomZJdwp//DGvXwrPPMvAf/2DgT1daDzwAM2a4HvY1dixonLf2KkbCbO7fn5ZvvsnTW7ey9LHHOO2j39gAFBQXM2D1asZ27051RAQA3377rcapvMflfn/p+NtE8aNBq1cDsMfLLrk0hrGujikffkhIRQXfP/IIFTq/Y4z33oP//m+49154+eWLX8Yzm+HLL2HyZHjkEfj88+bPeY3qgoJY+otfUBUZyZT336d1YaHWkTwmZ/BgDKpK1z17tI7ic6RgdC7s/HmSdu4kc9gwKn3tuSdOJxM+/5yoY8dYfe+9nNX79f5Fi+Cxx2DKFPjoo8uPrAkIgG++gdGj4b77YPHiZovZVKxhYXz3+OPUBQVx0zvv0KKoSOtIHlHWti2n4+Pp7kfngJqLFIzODVq9GlVRSJ0wQesoTe66ZctITE9n27RpHOnbV+s4l7d6Ndx9Nwwf7ioas/nK/05QECxdCsOGwZ13wrJlns/ZxKpatuS7J54AYNpbbxFaWqpxIs/IHjyYVqdP08aHV2pakILRsfBz5+ixaxcHU1Ko9rHnvfTcto0B69aRMXw4aXofvb9zJ0yfDklJrsJw5/HMoaHwww/Qrx/cdpurqLxMWdu2LH3sMSy1tUx76y2CfHB+V17//thNJtcqRjQZKRgdG7xqFU6jkb3jx2sdpUnFHjrE6K++oiApic233qrv25EzM+HGG6F9e1i5Eq7m0QgREa5/t0cPuPlm2LixiUN6XnFMDN/PmUNYaSlT33kHi489S8YWHMzR3r3pmpqKQc7ENBkpGJ1qcfYs3fbs4cDw4dQ03NniC1qfPMn1n3zC+fbtWfnAA6h6no587BhMmuTaT1mzBqKirv61WrZ0vUZ8vGsPZ/v2psvZTE536cKKhx6i1alT3PjBBxh97Fky2YMHE1RdTdyhQ1pH8RlSMDo1eOVKHGazT61eQsrKmPree9QFBrJszhzq9TwduagIJk6E6mpYtcpVDNeqTRvX7c3t28P110Nq6rW/ZjM71rMna++9lw5HjnD9P/+JwYfG/B/v0YPqsDC679qldRSfIQWjQ5GnT9N13z4yRo6k1kfOE5mtVqa+/z4Wq5Vljz5KtZ6fwllR4SqAwkLX/knv3k332u3bw/r1rhXNxImQkdF0r91McgcMYOPMmXTKzGT8Z5+Bj4z5V41GDg8cSKfMTFrK3WRNQgpGh4asWEG9xcK+sWO1jtIkFIeDyfPm0er0aVY88ADFeh5gabXCtGmuD/7Fi+G665r+a8TEuEomJATGj4esrKb/Gh6WOXw426dOpevevYz66iufub03e8gQjA4HM2QfpklIwehMq5MnSUxPJ330aKy+MDFZVRn59dd0OnSIjTNmcDwpSetEl2a3u24n3rgRPv0UrjBh4ZrEx8O6dWA0wrhxkJfnua/lIfsmTmTv+PH03rqVod444PMiznfsyLmOHZklBdMkpGB0ZsiKFdiCgkjX+627jdRvwwb6bN3K3nHjyExJ0TrOpakqzJ4NS5bAG2/ArFme/5pdu7r2ZOrrYexYKCjw/NdsYjtuuonM665j4OrV9Fu3Tus4TSJ78GAGOJ1095FLf1qSgtGRNseP0zkjg7TRo7EFB2sd55p1Tk8n5bvvyE1OZvvUqVrHubzf/AY++QRefBGefLL5vm7Pnq67yyorXSsZbxsuqShsvP12cvv1I2XJEnrs2KF1omt2eOBA7MCdsoq5ZlIwOjJkxQqswcHsHz1a6yjXrF1BARM/+4wzcXGsufvuy49V0dpLL8Hf/w6PP+4qmOaWnOy6U+3cOVfJnD3b/BmugWowsObeeznWowdjFiygc1qa1pGuSW14OKuNRu602zH4yN6SVnT8p96/tCsoID4zk7SxY6lz56S4DoUXFzPlgw+oDg/n+0cewWGxaB3p0j7+2LV6ufNO16UxrQ59Dh4My5e77lwbPx6Ki7XJcZWcJhMrHnqIM/HxTPz0U2K88MaFCy0wmeigqoz2oduwtSAFoxNDli+nNiSE/SNHah3lmgTU1DD1/fcxOJ0sffRRrHq+zfrbb137LpMmwbx52q+yhg93zSvLy3Pdwuxlc7/sAQF8P2cOJVFR3PDRR0R58TNWlhuNlIJs9l8jKRgdaJ+fT1x2NnvHj6c+MFDrOFfNYLdzw0cfEVFczA8PP0xZu3ZaR7q0DRvgjjtcK4evvwa9rLLGjnUV38GDrrM4Xjb3qy44mKWPPUZ1RART3nuPVt62p9TApih8bTJxk8NBmFwmu2pSMDowZPlyasLCODB8uNZRrp6qMm7BAqLz8lg7axan9PyAqtRUuOkmSEx0HaTU2yOoJ092TWxOTXXNQauu1jqRW2rDw/nuiSewBwRw09tvE+GlY/7nm0wEAzfLKuaqScFoLKW+npjDh0kdPx67nkenXMHglSvpvmcPO268kcODBmkd59Jyclwrg9atXRvren3Gzs03w/z5sG2b6+Cnlw2XrGzZku8efxyDqjLt7bcJKSvTOpLb9hgMHFYU7pKCuWpSMFpSVZ6vraUqIoKDej4jcgXdd+9myIoVHBoyhNSJE7WOc2mFhTBhgmuvZfVq0PNEAYDbb3fdOr1+vWvUv5cNlyyNimLpL35BYE0N095+m8CqKq0juUdRWGAyMdzpJE7OxFwVKRgNjbLbuc5uJ3XCBH3faXUZHXNzGbtgAYVdu7Lh9tv1O3r//HnXZn55uWt0fmKi1oka5957XY9pXr7ctWdUX691Ireci43lh9mzCS8uZuq772L2spXYApMJJ3Im5mpJwWilYfVy0mAgc9gwrdNclcgzZ7jho48oa9OG5Q8+iNNk0jrSxVVVuca+5Oe7HhjWr5/Widwzeza8/rpr8//ee8HLbp09mZjIygcfpM2JE9z44YcYvagkTxgMbDYYXAUjm/1uk4LRyLj6egbb7fwjMBBnYx6/qzNBFRVMfe89HCYTy+bMoU6vkwdsNrjlFti717VxPmqU1omuzlNPwV//CgsXwsMPe90E44LevVl7991E5+Yy6ZNPvGrM/3yTic6qyjAve8/1QApGC6rKb2trOWYw8IUXbuyb6uqY8uGHBFdW8v3s2VS2aqV1pItzOOCee1yjWD7+2HXnmDf7zW/g9793ndl5/HGv+4768KBBbJoxg4QDBxg7f77XlORSk4kq5EzM1dDpNQ3fNrm+nn4OB0+GhFCv1z2LS3E6mfDZZ7Q7fpwfHnqIorg4rRNdnKq6PoS/+gr+8Q+47z6tEzWN3/3OdUfZ3/4GgYHwyiv63fe6iAMjRxJQU8PQH36gsmVLdk2ZonWkK6pWFL4zmbjFbuc5iwWrF73fWpMVTDNTGvZe8g0GvvTCjf2UpUvpsn8/W26+maN9+mgd59L+53/g/ffht7+FuXO1TtN0FAX+8hfXJbPXXoMXXvC6lUzqpEnkDBxIv/XrCa6o0DpOo3xhMhEBTPGiS3t6IAXTzG6sr6e3w8Hfg4JweNl3Qr23bKH/+vXsHzlS3wM5X30V/vxneOQR1//6GkVxlcvs2a6y+d//1TqRexSF3TfcgMFu95oR/5sNBo4rilwmc5MUTDNSVJXf1NaSazCw2MtWL50yMxm5eDH5vXqx5ZZb9HtZ5l//cq1Ybr0V3n1XvzmvlaK4/vvuvdd12ezll7VO5JbyNm3IHTCAXlu3EugF43BURWGhycQ4h4MoL9k70gMpmGY0ra6OJIeDvwUF4fSiD77WhYVM+uQTijt2ZPV996FqPRTyUpYtgwcfdI28nz/f9bRIX2YwuG5euP12eO45eOstrRO5JXXSJEz19SRv2KB1lEZZYDJhBG6XVUyj6fSTwvcYGlYvWUYj33nR6iWktJSpH3yALSSEZXPmUK/Xu962bIGZM11nXL79FvSas6mZTPDZZ67RMk8+CR9+qHWiRiuNiiIvOZk+mzcT4AXz1nINBnYZDK7RMV6276UVKZhmcmtdHV2dTq9avZhra7np/fexWK0smzOHmogIrSNdXHo6TJkCcXGwYgXo+REBnmA2u87HTJ4Mc+bA559rnajRUidPxmKz0XfjRq2jNMoXJhNJqkpfuUzWKFIwzcCoqjxXW8sBo5HvveRQpcHh4PpPPiHyzBmWP/QQ5zt00DrSxeXluT5YIyJc511at9Y6kTYCAuCbb2DMGNct2V99pXWiRjnfoQNH+vSh76ZNWLxgjMzXJhM2kAGYjSQF0wxur6ujc8PqRfWS1cvIxYuJy85m4+23U9i9u9ZxLu7UKdfwSrvdNbwyJkbrRNoKCnKNwhk2DGbNcv21F0idPJmA2lp6b96sdZQrKlMUlhuNzLTbMctlsiuSgvEwk6ryq9pa0o1GVnjJ6iUmJ4fe27axd9w4Dul1TlppqWt4ZXGx67KYXkuwuYWEuAZj9u8PM2a4Hkmgc+diYijo2ZPkDRsw22xax7mi+SYTrYGJcibmiqRgPOxOm404p5O/BAV5xS2zitPJ8G+/pbxlS3bdcIPWcS6uutq153L4MCxZAnp+/owWwsNdE6OTkuDmm+l4+LDWia5oz+TJBFVX02vLFq2jXNFao5EiZHRMY1yxYBRFiVEUZYOiKIcURclUFOXp5gjmCyyqyq+sVlKNRtZ6yeqlx86dtD51iu3TpuHQYWaDw+H6znznTvjiC9ctyeLnIiNdlw0TErjx/feJys/XOtFlne3UiePdu9Nv/XpMOn/ujV1R+NJk4nqHg5ZymeyyGrOCsQO/VFU1CRgKPK4oSpJnY/mGu202op1O/hIc7BWrF7PVytAffuBUfDx5yclax/k5p5Pxn3/uuiT23nuuw5Ti0tq0gXXrqImIYOq779L2+HGtE13WnsmTCa6spOe2bVpHuaL5JhMW4DZZxVzWFQtGVdXTqqrua/jrSiAL0PmjALUXqKrMra1lh8nERr0+J+UnBqxdS0hlJVunT9dfIaoqI7/5hm5797rGozzyiNaJvENUFN8++STWkBBuevttWp04oXWiSzrduTMnEhPpv3at7p8Zc9Bo5IDBIJfJrsCtPRhFUToB/YBdHknjQ4bX19NeVXknMFB/H9aXkLRzJ8e7deNsp05aR/mZlmfO0HfzZgqSklxj60WjVUdGsvyRRwisqSFlyRKt41xW1tChhFRU6P6SHsAqo5GBTidhcpnskhpdMIqihAJfA8+oqvqzEaiKosxWFCVVUZRUVd5wDjWMKUnwojtNTnbpQtvjx3V5DbykXTvye/UiJjsbvOB2Vj1RHA6GLV2K02Bg3/jxWse5rG579lATGqrLb3L+g6oy2W5nn8FApZd8A6mFRhWMoihmXOUyX1XVby72c1RV/UBV1YGqqg5U5A3nlNHIAaORiTpf6l/owIgRBNbW0nXvXq2j/JzBwOp77qG8TRu47TY4dkzrRF5j+Lff0unQITbNnMkJHd/O3f7IEWKzs9k3fjx2nY/6Geh00ktV+cRLLn9rpTF3kSnAx0CWqqqveD6S71hlNjPEbqeFl4yVOJWQQHH79vTeskWXs5bqg4L44eGHoa4Opk+HmhqtI+nf22/Td9Mm0saMITMlRes0lzV4+XKqw8I4OGKE1lGu6AG7nSrgKymYy2rMCiYFuAcYqyhKesMPnR6Q0JfVFgsmYJy3rGIUhQMjRtD2xAnaFRRoneaiytq1gwULXPPHHn5Yl0WoGytXwlNPcbRXL7bffLPWaS6rQ24uMYcPs2/CBOw6HwYbrqrcZrfzlclElVytuazG3EW2VVVVRVXVPqqqJjf8WN4c4bzdPqORc4riVZfJcgYNoi4ggD56PvB2ww2uB4ktWOB1z0FpNpmZrjH+vXuz+v779fuIBQBVZcjy5VSHh3NQ56ssgJl2OyHAP2X1ckU6/l3n/VRFYY3ZzPj6eoxe8p12fUAAWUOGkJiWpu8HQT3/vOvA5fPPe8U4lGZVVOSadBAcDMuW6fcRCw06Hj5Mx7w89k6ciEPnqxdUlQftdtINBtL0XNo6Ie+Qh62yWGihqgz2ovvlDwwfjtHhoJ+eHwSlKPDJJ9CrF9xxh2uqsgCr1fVsmLNnXcMu9T4AtGH1UtWiBZnXXad1mivq73TSx+l0be7L5bErkoLxsI1mM3XAJC+6TFYaFUXW4MH0X7+e1oWFWse5tJAQ1ywygwGmTQM9r7iag6q6nui5Y4fr0dFeMKMtJieHDvn5pE6YoMvRRD/1gN1ONbBILo81ihSMh1UpCttMJibp8GzJ5WyZPp3a0FDGf/GFa/6XXsXHw6JFkJPjej69l9yx5xF/+pNrX+r//s91K7feqSpDfviByshI/U7tvkCYqjKjYXNfzr40jhRMM1htsdDV6SRezx/UP2ELCWHDzJm0OXmS/mvXah3n8saNc232L1kC//u/WqfRxsKF8OKLroeNPf+81mkaJTYri6iCAlInTsTpBauXGXY7oSBnX9wgBdMMVjX84ZngRZfJAI726cPh/v0ZvHIlLU+f1jrO5T39tGsF8+KL8N13WqdpXjt2wP33w4gR8P773rE30LB6qWjZkqyhQ7VO0ygP2O1kGAzslc39RpN3qhkcMxrJNhq97jIZwKZbb8UWFMT4+fNR9LwCUxTXhOWBA+Huu+HQIa0TNY+CAtemfnS065HJOr9j7EdxmZm0O36c1EmTcHrBiiDZ4aCfbO67TQqmmaw2m7nObve6wXjWsDA23XYb7Y4fJ3njRq3jXF5QEHz7rWvzf9o0KCvTOpFnVVTA1KmuyQbffw+tW2udqFGMdXVct3Qp5a1akT1kiNZxGuVBu50a4EsvKEM9kYJpJqvMZizAaC+7TAaQ168fR/r0YegPP9Di7Fmt41xedDR8/bVrVtmdd4KeV13Xwm53HaTMyoLFi73qkdGjvvqKVqdPs2nmTJwNQ2H1LLRhc3+xyUSFrF7cIgXTTPaYTJQqildeJkNR2DhzJnaLhXELFuj/Tq2UFHjzTdeolBde0DqNZ8yd6/rve+cdr3qqZ/edO0nauZM9kyZxPMk7nlt4m91OGLK5fzWkYJqJQ1FY23Cq3+Bll8kAasLD2XzLLXTIz9f3GJkfzZnj+vG3v8GXX2qdpmm9/barQOfOhdmztU7TaK1OnWLUokWcSExk9w3eM87wAbudg4rCHtncd5u8Y81oldlMG1Wlvxed6r9QzqBBFCQlcd2yZYQXF2sd58reeMO1mnngAddwTF/QMMCSqVPhpZe0TtNoZquVyR9/TF1QkP5no12gr8PBAKeTT8xm2dy/Ct7xq+wj1pvN2PGuU/3/QVFYf/vtOA0Gxi5YoP9JxhaLa3+iZUvXnVbnzmmd6NpcMMCSL74AL9i/AEBVGbNgARHnzrH6/vupCQ/XOlGjPWC3UwsslMtjV0UKphmVGwzsNJm8arryT1VHRrLt5puJyc2l5/btWse5sqgo1wHMM2dcH87e+t7/OMAyJASWLYPQUK0TNVqvLVvoum8fu6ZM4WRiotZxGi1EVZlpt/O1yUS5rF6uihRMM1ttNtPL4aCjF9/dlDlsGIVduzJ8yRJCS0q0jnNlAwfChx/Chg3wq19pncZ93jbA8gJtjx9nxLffUpCUxF6dP675p2612wlHNvevhRRMM1vdMI7cm1cxKArr77wTVJWxX36p/0tlAPfcA88+69qX+eQTrdM03k8HWA4cqHWiRguoqWHyxx9THRbG2nvvdQ0l9SIP2O0cUhR2eVluPZF3rpnlGgwcMRi8dx+mQUWrVuy46SbisrLovnu31nEa56WXXLf0Pvoo7NqldZrG+eMfvWuA5Y9UlfGffUZIeTmrHnwQa0iI1onc0tvhYJBs7l8zKZjmpiisNpsZUV9PsDd8538ZGcOHc7JzZ0Z88w0h5eVax7kyk8l1y3LHjnDLLaD3+WoLFsDvf+9VAyx/1G/dOuIPHmTbzTdztlMnreO4TTb3m4YUjAZWWywEAiO9fBWDwcC6O+/EZLcz2lsulbVq5dr0LyuDW28Fm03rRBe3Y4fr9mpvGmDZoH1eHsOWLSMvOZmMUaO0juM2k83G7XY73zYcjhZXTwpGAzsaRk549T5Mg/K2bdl5440kHDxI4r59WsdpnD59YN4814f4E0/orxi9dIAlQFBlJZPmzaOiVSvWz5rlVcX4o8S0NCKQzf2mIAWjgXpFYb3Z7Bobo7cPt6uQPno0Z+LiGLV4MUHe8lTJGTPgv/4LPvrINYVZL7x0gCWA4nQy4dNPCaypYcWDD1IXFKR1pKvSc9s2shWFHbK5f83kHdTIarOZKFWlrxffrvwj1WBg7axZWKxWRi1erHWcxvvjH+HGG10n4zdv1jrN/x9gmZ3tdQMsAQatXElsTg6bZszgfHS01nGuSquTJ4kqKOCfsrnfJKRgNLLWbMaJl9+ufIHS9u3Zff31JKal0Xn/fq3jNI7RCPPnQ0KC6w6twkJt83jpAEuAmKwsBq1cSfbgwV7zALGL6bl9O3aTSTb3m4gUjEbOGwykmkzeOV35EvaNG0dRdDSjFi0isLpa6ziNExHhegKmzeba96it1SbHhQMsH3lEmwxXKaSsjIn/+hclUVFsnDnTa7/zN9XV0W3PHo4kJ1Pipf8NeiMFo6HVZjP9HA6CveEW30ZwGo2su+suAqurGfHNN1rHabzu3V0rmbQ014d7c++L/TjA8qabvGqAJYDB4WDSJ59grK9nxYMPYveiGxJ+qktaGgG1tWSmpGgdxWdIwWhopdkMQCcferxvcceO7J04ke579tApM1PrOI03ZYprT2b+fHj11eb7ugcPwsyZrgGW8+d7zwDLBkOXLaNDfj4b7riDsqgoreNck57btlHati2nOnfWOorPkILRUJbRSKHBQPzBg1pHaVJ7Jk6kuH17xixciKWmRus4jffCC66zMc89B2vWeP7rFRW57hgLDfW6AZYA8RkZ9F+3jgPDh5PrRSNsLqblqVO0P3rUtXqRy2NNRgpGSw2n+mNycjD6yGY/gNNkYt1ddxFcUcHw777TOk7jKYrrfExSkuturiNHPPe1vHiAJUB4cTHjP/+copgYttxyi9ZxrlnP7dtxmExkDx6sdRSfIgWjsVVmM+a6Ojrm5modpUkVxcaSNm4cPXfsICY7W+s4jRca6jrpD64CqKpq+q9x4QDLzz7zqgGWAMb6eib/858ArHjwQZwNl3q9lbGujm67d3Okb1+sXraK1DspGI1tNZupt1iI96b9ikbadf31lLZty9iFCzFbrVrHabzOnWHRIjh0yDUHrKk3/S8cYHnrrU372s1g+Dff0LawkLV3302lFx0EvZQu6ekEyua+R0jBaMymKBR26+baEPeBU/0XcpjNrJ01i7DSUq5btkzrOO4ZPx7+/nfXqJY//7npXteLB1gCJKam0nvrVvaNG8fRPn20jtMkem7bRlmbNpzs0kXrKD5HCkYHjvbsSXhJCa30Pt33KpxJSCB91Cj6bNlCB2+7DPjss3D33fA//+PahL9WPw6wHDkSPvjA6zaTW5w5w5gFCziVkMDOqVO1jtMkIk+fpkN+vmzue4jHjqs6fGAESnNZoSiMAwLXriUjOVnrOE0uOy6OF8PCGPHpp/zhlluou8ZT0osWLWqiZFdmnDSJMdu3E3b77az985+p7Njxql4nuKiI8S+8QH2LFqy75x7qftznaQbp6enX/BqW+npeWLoUm8HAK4MHU3bgwLUH04Hbd+7EbjDwVXAwVRe8T4qUTZOQFYwOlIeEUNC6NX2OH9c6ikfUmc18OmIEbSsqmJaaqnUctzgsFrb98pc4zGZS/v53zFcxocBUU8OIv/0Ng8PB1uefpy483ANJPUhVuXv7dtqXlfHh6NGUednDwy7FZLdzXW4u++LiqPLSwZx6JwWjExkxMSQUFRHqTZvhbjjcoQMbevRg/MGDJBQVaR3HLbWtW7N97lxCi4oY8uabKE5no/9dxeFg2OuvE3b6NNuffZbKDh08mNQzhh8+zHV5eXzfrx+HrnIFp0cDCgoIqatjs5cNFfUmUjA6sT8uDgPQS+uBix709aBBlIaGcv+mTZjsdq3juKW4Rw/S7r+fDmlp9HTjEl3yp5/SPj2dfQ89RFHv3h5M6BnR588za8cODnXowDIfu3w7MieHs+Hh5LRvr3UUnyUFoxOFrVpRFhxMXx+9TAZgs1j41/DhtC8vZ2pamtZx3HZkwgSOjBtH0rffEr1jxxV/fpeVK0lctYqcKVPI97LpyABBdXX8Yv16qgMC+HD0aFQfej5KVFkZ3c6cYUu3bqiy3+IxvvM7xsupikJGTAxJJ05g9OEbJA5FR7O1a1cmZWQQW1ysdRz3KAppDzxAcdeuDH73XSIKCi75U6PS00meN4+TAweScdddzZexqagq923ZQuvKSt4fM4ZKH9ujGJmTg91gYFtiotZRfJoUjI5kxMYSXF9P4tmzWkfxqEVDhlAZFMQDmzZ5XZk6zWa2z51LXXAwKS+/jOUiT/AMP36cYa+9RnlcHLuefNIrv/Mfd+gQAwsK+GbgQPK8fIjlT5nsdobl5pIWF+dzxak33vc734dldehAvdHos3eT/ag2IIDPUlKILi3lBm95ONkFrJGRbP/VrwgqLWXYa6+hXFCSAeXlDH/pJeyBgWz99a+xBwZqmPTqxBcVMWP3btJjY1nlhftGV9L/2DHCbDY2d+umdRSfJwWjI3VmM9nt27sKxsdO9f9URlwcOzt35oa0NDqeP691HLeVdOnC3kceod3Bg/T9/HMADHV1pLz8MoHl5Wx97jlqW7XSOKX7QqxWHl2/ntLgYP45cqRPHj4cmZNDUVgY2V54R5+3kYLRmYzYWNpVVNDORx5CdjkLhw2jJiCA+7dsweDGrb96UTB6NIevv56uy5cTt2kTg957j9aHD7PriSco9cJniiiqykObNhFeW8t7Y8dS48UPD7uUduXldD99Wjb3m4kUjM5kNIxt9/XLZADVgYHMT0mhU3ExE730ZPj+u+/mbM+eDH73XeK2bSPjzjs5OWSI1rGuyuSMDPqcOMGXQ4ZwrE0breN4xIicHOyKIpv7zUQKRmdKwsI4ERlJHx8+D3OhffHxpMbHc9O+fUSVlmodx22qycSOZ56homNH8iZMIHvaNK0jXZVup08zfe9ediUksLFHD63jeITJ4SAlN5f0uDgqgoO1juMXpGB0aH9sLIlnzhBks2kdpVl8MWwYNpOJ+7dsceuUvF7UhYez6uWX2ffww165ZxFeU8PsDRs4Gx7Ov3x46GO/Y8cIs1plc78ZScHoUEZsLEZVpdeJE1pHaRaVwcEsHDaMzkVFjPPW5+J46Yey4nQye+NGAuvqeHfsWGwWi9aRPGZkdjbnQkPJ8qFxN3onBaNDR9u0oTIw0C/2YX60q3Nn0mNjuTk1lTZ+cIODXkzbt4/up08zPyWFUy1bah3HY9qVl9NDNvebnRSMDqkGAwdiYuh14oRX3l11VRSF+SkpOIxG7tuyBcXHb9PWg16FhUzZv58tXbuy3cc3vUfk5OBQFLZ17ap1FL8iBaNTGTExhNpsXjd5+FqUhYSwaMgQup05w6isLK3j+LTIqioe3rSJwpYt+WLYMK3jeNSPm/v7Y2Mpl839ZiUFo1OZ0dHYFcWvLpMBbOvalcyOHbl1925aXWQMi7h2RoeDR9evx+h08t7YsdRf4wPg9C65YXN/k4zlb3ZSMDpltVg43L69T09XvihF4V/Dh4OicM/WrT4/0UALt+3ZQ+dz55g3YgRnIyK0juNxI3NyKA4N5ZCc3G92UjA6lhEbS4eyMlpXVGgdpVmVhIWxeNAgep48yfDDh7WO41P6Hz3KhMxM1iUlsTc+Xus4Hte2ooKkU6fY0rWrVw4d9XbyjuvYv0/1+8mhywtt7tGD7PbtmbFzJy2u4jHF4ufaVlRw/5Yt5Ldpw6LBg7WO0yxkc19bUjA6di4igtMREX63DwOu5+P8a8QIjE6nXCprAma7nUfXrUNVFN4bMwaH0ah1JI8zOhykHD5MRkwMZSEhWsfxS1IwOpcRG0vX06cJqKvTOkqzOxcezreDBtGnsJAheXlax/Fqd+zcSWxJCR+NGkVJWJjWcZpF8vHjhFutbJbNfc1IwehcRmwsZqeTpJMntY6iifVJSeS1bcudO3cSXlOjdRyvNDQ3l1E5OSzv04cDsbFax2k2I7OzOR8SwkE5ua8ZKRidO9KuHdUWi1/uw4Dr0OmnI0disduZtX27XCpzU3hhIfds305OVBRLBgzQOk6zaV1RQc9Tp1wn92VzXzPyzuucw2AgMzqaPseP++3p9jMtWrC0f38GFBQw4OhRreN4DZPVyrBXX8VmMvHBmDE4/eiDdsThwzhlc19z/vM7zotlxMYSbrUSd+6c1lE0s7p3bwpat2bW9u1Y/Oy27auiqgz44APCTp3igzFj/OoEu9HpZHjD5n6pbO5rSgrGCxyIjsapKH57mQzAaTAwb+RIguvq6DdvntZxdC9h7Vritm0jc8YMv3s0cN/jx4morZWx/DogBeMFagIDyWvXzv9O9f/EyZYt+SE5mbht2+iQmqp1HN1qkZ9Pv3nzON23L1nTp2sdp9mNzM6mJCSEg9HRWkfxe1IwXiIjJobY8+eJ9PNDhyv69qUsNpYBH32EuapK6zi6Y66u5rpXX8UWEcGuJ54AP9p3AWhdWUnSyZNs7drVr/ac9Ep+BbxERsPtpb39fBXjMBrZ/YtfEFBeTvJnn2kdR19UlUHvvkvw+fPseOYZ6sLDtU7U7Ibn5ICisFU293VBCsZLnG7RgqKwML881f9TZQkJZE+bRvzGjUSlp2sdRze6/vAD0Xv2kHHXXZz3ww9Yo9PJ8NxcDkRHUxIaqnUcgRSM91AUMmJj6XHqFBa7Xes0mjt0yy2Ud+zIgA8+wCQHMGmVk0OfL77gxKBBHL7hBq3jaKL38eO0qKmRzX0dkYLxIhkxMVgcDrqfOqV1FM05LRb2PPooQSUl9PniC63jaCqgooJhr71GTevW7PnFL8BPHwk8KieH0uBgDjQMiRXak4LxIrnt22M1m+UyWYOSrl3JvfFGuqxZQ9uDB7WOow2nkyFvvklAZSXbn32Wej8999GyspKeJ07I5r7OyK+EF7EbjWR27OgqGD891f9TB2fOpDIqioHvv4/RatU6TrNL+vZbojIySLv/fsr84PkulzKi4blBW/xw70nPrlgwiqIEKoqyW1GU/YqiZCqK8ofmCCYuLiM2lsiaGmJKSrSOoguOgAD2zJlDaFERvRcu1DpOs2p74AA9v/qKY8OHkz9unNZxNGNoOLmfGR3tN5OivUVjVjA2YKyqqn2BZGCyoihDPZpKXNKB6GicIJfJLlCclETupEkkrlxJq+xsreM0i8CSEoa++SYVHTqw95FH/HbfBaB3YSGRNTVsks193bliwaguP55oMzf8kOszGqkMDuZo27YMz8khrLZW6zi6cWDWLGpat2b4yy/Tec0aFIdD60ge0zYjgzG//z0mq5Udc+diDwzUOpJmAuvqmLZvH2XBwX71KAJv0ag9GEVRjIqipANFwBpVVXdd5OfMVhQlVVGUVKfT2cQxxYUWDRlCWG0tT69cSaAfPojsYuyBgWx+/nnKY2IY8NFHTHj+eZ/b+A8oL2fwW28x+s9/BkVh8/PPU+HH41DMdjtPrllDh9JSPk1JwSGb+7rTqF8RVVUdqqomA9HAYEVRel3k53ygqupAVVUHGuQX2qPy27XjvfHj6VhSwhOrV2OWczEAVEZHs/F3v2Pb3LmYamsZ/ac/cd3LLxNy5ozW0a6N00n8+vVMfvZZYrZvJ/PWW1n1979TnJSkdTLNGB0OfrFuHYlnzvDxqFGyetEpt5pAVdUyYAMw2SNpRKMdjInhk9GjSTxzhtnr12OQVaOLonByyBBWvvIKB+64g3YZGUz+5S/pM3++Vx7IDDtxgjF/+AOD3n+fipgYVr/0EpkzZ+K0WLSOphnF6eThTZvoc+IEn6eksKdzZ60jiUswXeknKIrSBqhXVbVMUZQgYALwN48nE1e0u3Nngm027tq+nfu2bGHeyJGofrzZeyGnxULW9OkcHTWK3gsX0n3pUuI2beLgHXdQMHq07p9yaKiro8eSJXRfsgR7YCB75szh6OjRfje88mdUlXu2bWPQ0aMsGjyYzd27a51IXMYVCwZoD3yqKIoR14pnkaqq33s2lmisjUlJhFqtTNu3j6qAAL4aMsSv7yj6KWvLlux57DHyJk6k36efMuj99+myahVp999PcY8eWse7qLYHDjDg448JO32aghEj2H/PPdgiIrSOpT1VZcbu3Yw8fJjv+/Zlde/eWicSV3DFglFVNQPo1wxZxFX6vl8/Qq1WJh48SFVgICuSk7WOpDulXbqw/o9/JGb7dvrOn8/Y3/+ewqFD2X/XXdS0bat1PMA18qXvZ5/RafNmKtu1Y+MLL1DUp4/WsXTjxvR0Jh08yLqkJJYMGKB1HNEIjVnBCL1TFL4cNowQm41bUlOpDghgs06/O9eUolCYksKpgQPptnQp3ZcupcPeveRMnUr2tGna3e6rqnTauJG+n3+OqbaWQ9Onk3XLLTj8eJ/lp8ZlZjJ93z62d+nCwqFDZZXuJaRgfISqKMwbNYrgujru2raN6oAA9iYkaB1LlxwBARyaMYOjY8bQ54svSPrmGzpt2MCBWbM4Nnx4s+5zhJ08yYCPPqLtoUOc69aNvY88QoUMa/wP1x0+zJ07d7IvLo55I0bIPqMXkYLxIQ6DgffHjeOZFSt4eONGaiwWsvz4nMSV1LZuza6nniJv0iT6zZvHkLffdu3P3HcfJR6eaWWoq6PHd9/RfckS17ib2bM5OmaMbOL/RP+CAu7fupVDHTrwwZgxMsjSy8ivlo+pM5l4c+JETrdowWNr1xJfVKR1JN07360ba//8Z3Y99hjB588z/n/+hyFvvknQ+fMe+XptDh5k4q9/Tc/FizkxZAgrXnmFo+PGSbn8RNKJE8zesIH8Nm14a/x47Eaj1pGEm+R3tA+qDQjgtcmTqQgO5qlVq+hQWqp1JP0zGDg2ahQrXnuNQ9OnE71rF9c/+yxJixdjtNma5EtYKioY9M47jPnTnzA4nWz6r/9i11NPYWvRokle35d0OXuWx9eu5VSLFrw+cSJ1ZrPWkcRVkILxURXBwbw6eTJ2o5FnVqygVWWl1pG8gj0wkIN33MHKV17hdHIyvb76ynWCftu2q39EgqoSt2kT18+dS9zWrWTdfDOrXn6Zs337Nm14HxFTXMxTq1dTGhrKa5MnUxsQoHUkcZWkYHxYcXg4r02ejMVu59kVKwjzwpPsWqlu25Ydc+ey4cUXqQsLY9gbbzDmxReJPHLErdcJO3WK0X/8I0PeeYfK9u1Z/de/cuDOO+UOsUuIKivj2VWrqDWbeWXyZCqCgrSOJK6BFIyPO9myJW9OmkSL6mqeXrWKIBmO6ZZzSUms/ctf2DN7NmFnzjD+hRcY9M47BF7hsqOhvp6kxYuZ+NxztCgoIPWRR1j/hz9QITOzLqllZSVzV64E4JXrr6ckNFTjROJayV1kfuBIu3a8O348T6xezeOrV/P65MnUm+SXvrFUg4Gj48ZxYtgwenzzDYnLlxO9axdZN9/M4Rtv/NlcsDaHDjHgww8JP3WK49ddR/p992GVfZbLCq+p4ZcrVxJYX89LN9zAWZlc4BNkBeMnMmU45jWrDw4m4+67WfWPf1DUqxd9Fi5k8i9/Scddu0BVsVRWMujddxnzhz9gsNvZ/NvfsvPpp6VcriDYZmPuypW0qKnh9YkTOdGqldaRRBORb2P9iAzHbBpV7duz7bnnaJuRQb9PPyXllVc4160bYadOYampIWvaNA7deisO2Zy+ooD6ep5etYp25eW8OXEiR9q10zqSaEJSMH5mY1ISITYbN+/dS3VAAItkOOZVK+rTh9UvvUTC2rUkffMNVe3bs/eRRyiXfZZGMdntPLFmDZ2Ki3lv7FgOdeyodSTRxKRg/NAPycmEWq1MaBiOuVyGY1411WjkyKRJHJk0SesoXsXodDJnwwZ6nD7NxyNHktapk9aRhAdIwfgjRWHR0KGE2GxMT02lSoZjimbUvqyM23bvpm9hIfOHDWNHYqLWkYSHSMH4KVVR+HTkSEJsNu7ato2agABSZTim8KAOJSVMSU9n4NGj1JlMLBgyhA1+/NhnfyAF48cuHI75UMNwzEMyHFM0seiSEqakpTGwoACr2cyKvn1Z06sXVVo9HkE0GykYP/fjcMznfviBx9au5ZUbbiBfJw/gEt4tpriYqenp9D92jBqzmWXJyazt2ZNqKRa/IQUj/j0c8zfff89Tq1bx0pQpnIqM1DqW8FJx584xNT2d5OPHqbZY+K5fP9b17EmN3Lbtd6RgBNAwHPP66/nNsmU8s2IFf5s6lfNhYVrHEl4kvqiIqWlp9DlxgmqLhW/792d9z57Uytw1vyUFI/6tOCyMVydP5tfff8+zK1bw+uTJnAsP1zqW0LnOZ88yNS2NXidPUhkQwNcDB7KhRw+sUix+TwpG/IdTLVvyxqRJPLtiBf+7aBGZ0dFs7NGDAzExqPJALHGBxDNnmJqWRtKpU1QEBrJ40CA29OiBTZ7dIhpIwYifyW/Xjt/NmMGI7GxG5OTw5Jo1nA8NZXO3bmzt1o2K4GCtIwqtqCrdTp9mano63U+fpjwoiEWDB7Oxe3d5KJj4GSkYcVGlISEsHTCAH/r1o8+xY4zOymL63r1M3beP9E6d2NijBznt28uYGX+hqvQ4dYqpaWl0PXuWsuBgFgwZwpbu3amTydziEuR3hrgsh8FAWnw8afHxtCsvZ2RWFim5uQw8epTTERFs6tGD7YmJ8tRBX6Wq9Dx5kqlpaXQpKqIkOJj5w4axpWtX7FIs4grkd4hotLMREXw1dChLBg5kYH4+o7KzuWPnTqbv2cOezp3Z1KMHBW3aaB1TNAVVpfeJE0xJS6PzuXOcDwnh8+uuY2vXrtiNRq3TCS8hBSPcVm8ysaNrV3Z07UpMcTGjsrMZkpfH8MOHKWjdmk09erC7c2e5dOKNVJW+x48zNT2dTsXFFIeG8q+UFLYlJuKQYhFukk8AcU0KW7fm8+HD+XrwYIbk5TE6K4v7tmxhxq5dbE9MZFP37pyRQ5u6p6gqyceOMTUtjdiSEorCwvhkxAh2dumCQ+4eFFdJCkY0iVqLhY1JSWzs0YPEs2cZlZXFqKwsxmdmkt2+PZu6dyetUyf5LlhnFFWlf0EBU9LTiSkp4Wx4OP8cOZJdnTtLsYhrJgUjmpaikBsVRW5UFGFDh5Jy+DAjs7OZs2ED5UFBbO3alc3du1MiUwI0pTidDCwoYEpaGh3LyjgdEcFHo0axOyEBpxSLaCJSMMJjKoOCWNm3L6v69KHniROMysri+owMrs/I4EB0NBuTksjs2FEOcDYjxelk0NGjTElPp0NZGSdbtOD90aNJjY+XXwfR5KRghMepisLBmBgOxsTQsqqKEdnZDM/J4elVqygODWVz9+5s7daNyqAgraP6LIPTyZAjR7hx/36iyss5ERnJu2PHsq9TJ1Q5yyQ8RApGNKuS0FC+GziQ7/v3J7mggNFZWdySmspN+/axr+EAZ25UlBzgbCKK3U7K4cPcmJ5O28pKjrdsyTvjxpEWFyfFIjxOUVW1yV/UZDKpERERTf66vqqurk7rCJrq6nTyYH09s+rriQQOGQx8bDKx0Gym4iIfggFyqPOKzKrK7TYbz9TW0snpZL/JxCshIay0WKS8G8HhcGgdwWuUlZVht9sv+ptKCkYH/L1gfhSkqtxqt/NQfT0DnU6qga9MJj4ym9l/wd1nUjCXZlFVZtlsPF1bS4zTyT6jkX+EhrJWisUtUjCNJwWjc1IwP5fscPBwfT0z7HaCgT0GAx+bzXxtMqHKExF/JkBVuauhWDo6newxmfh7UBDrzWaMcuDVbVIwjScFo3NSMJcWoarcWV/PQ/X1dFdVSoAvAwOZFxjIETlTQ6Cqco/VylO1tbRXVXY2FMsms/nfKxajvE9uk4JpPCkYnZOCaQRVJcXp5OH6em6y27EAm00mPgkMZIXFgt3PLv8EqSr3Wa08WVtLO1Vlm8nEy8HBbDGZfnYpTArGfVIwjScFo3NSMO6JNpu5y2rlPpuNGKeTM4rC54GB/CsggFM+/mEaoqo8YLXyWG0tbVWVzQ3Fsv0yz2KRgnGfFEzjScHonBSMe37c5DeoKuPr63nAamVcfT0qsMps5pPAQDaazT51G26oqvJgQ7G0VlU2mM28HBTErkY85EsKxn1SMI0nBaNzUjDuudhdZDEOB/fabNxltdJWVTlqMPCvwEDmBwRQ4sUn1MOcTh62WvmF1UpLVWWN2cw/goJIdePpkVIw7pOCaTwpGJ2TgnHP5W5TNqsqU+rqeMBq5Tq7HRuw1GLhk8BAdl9kf0Kvwp1OZlutPGq10kJVWdWwYkm7iscSS8G4Twqm8aRgdE4Kxj2NPQfTzW7nfpuN2202wlWVTKOReYGBfGWxUKXTVU0Lp5M5ViuzrVYiVJXlZjP/CA5m/zXcaiwF4z4pmMaTgtE5KRj3uHvQMlhVucVm4wGrlb4OB1XA4oAAPgkMJFMnZ0RaOp08arXyiNVKmKqy1GLhlaAgDjZBPikY90nBNJ4UjM5Jwbjnqk/yqyr97HYesNmYbrMRBOxuuNV5qcWCTYPLZ62cTh6rreUhq5VgXJfz/hEURFYTFp8UjPukYBpPCkbnpGDc0xSjYlo4ndxhs3G/1UoXp5PzisKCgAA+DQzkaDN8ILdxOnm8tpYHrFaCgG8bViw5HlhRScG4Twqm8aRgdE4Kxj1NOotMVRlht3O/1coNdXWYgQ1mM58EBLDKYsHRxKuadk4nT9bWcq/VSgDwtcXCK8HB5HmwBKRg3CcF03hSMDonBeMeTw27bOd0crfVyr02Gx2dTk4ZDHwWEMBnAQGcucYP6SiHg6esVu61WjEBiwICeC0oiPxm+PCXgnGfFEzjScHonBSMezw9Tdmoqkysr+c+q5Wx9fU4gRUWC/MCAtjs5gHOjg4HT9XWcrfNhgH4sqFYCprxQ18Kxn1SMI0nBaNzUjDuac5x/XEOB/dZrcyy2WitqhwxGPg0MJAFAQGUXuZW5xiHg6dra5llswGwoKFYCjX4sJeCcZ8UTONJweicFIx7tHgejEVVuamujvutVoba7ViBJQEBfBIQwN4LDnDGORw8W1vL7TYbTmB+QACvBwVxUsMPeSkY90nBNJ4UjM5JwbhH6weO9Wi4KWBmXR1hqkqG0cjngYEk2+3MtNmwA58FBvJGYCCndfDhLgXjPimYxpOC0TkpGPdoXTA/ClVVbm241bm3w0Et8GlgIG8FBXFGR5MCpGDcJwXTeFIwOicF4x69FMy/qSo9HA7OGQwU66hYfiQF4z4pmMa7XMHoY06GEN5MUZr05L0QvkJ/324JIYTwCVIwQgghPEIKRgghhEdIwQghhPAIKRghhBAeIQUjhBDCI6RghBBCeIQUjBBCCI+QghFCCOERUjBCCCE8QgpGCCGER0jBCCGE8AgpGCGEEB7R6IJRFMWoKEqaoijfezKQEEII3+DOCuZpIMtTQYQQQviWRhWMoijRwI3AR56NI4QQwlc0dgXzGvBrwHmpn6AoymxFUVIVRUn1xFMyhRBCeJcrFoyiKFOAIlVV917u56mq+oGqqgNVVR2oKBd9eqYQQgg/0pgVTApwk6IoBcBCYKyiKJ97NJUQQgivd8WCUVX1t6qqRquq2gm4A1ivqurdHk8mhBDCq8k5GCGEEB5hcucnq6q6EdjokSRCCCF8iqxghBBCeIQUjBBCCI+QghFCCOERUjBCCCE8QgpGCCGER0jBCCGE8AgpGCGEEB4hBSOEEMIjpGCEEEJ4hBSMEEIIj5CCEUII4RFSMEIIITxCCkYIIYRHSMEIIYTwCCkYIYQQHiEFI4QQwiOkYIQQQniEFIwQQgiPkIIRQgjhEVIwQgghPEIKRgghhEdIwQghhPAIKRghhBAeIQUjhBDCI6RghBBCeIQUjBBCCI+QghFCCOERUjBCCCE8QgpGCCGER0jBCCGE8AgpGCGEEB4hBSOEEMIjFFVVm/5FFeUccKzJX/jatQaKtQ7hReT9co+8X+6R98s9en2/4lRVbXOxf+CRgtErRVFSVVUdqHUObyHvl3vk/XKPvF/u8cb3Sy6RCSGE8AgpGCGEEB7hbwXzgdYBvIy8X+6R98s98n65x+veL7/agxFCCNF8/G0FI4QQoplIwQghhPAIvygYRVEmK4qSoyhKnqIoz2udR+8URfmnoihFiqIc1DqL3imKEqMoygZFUQ4pipKpKMrTWmfSO0VRAhVF2a0oyv6G9+wPWmfSO0VRjIqipCmK8r3WWdzh8wWjKIoReBu4HkgC7lQUJUnbVLo3D5isdQgvYQd+qapqEjAUeFx+f12RDRirqmpfIBmYrCjKUG0j6d7TQJbWIdzl8wUDDAbyVFXNV1W1DlgITNM4k66pqroZKNE6hzdQVfW0qqr7Gv66EteHQEdtU+mb6lLV8Lfmhh9yt9ElKIoSDdwIfKR1Fnf5Q8F0BAov+PsTyAeA8ABFUToB/YBdGkfRvYZLPulAEbBGVVV5zy7tNeDXgFPjHG7zh4IRwuMURQkFvgaeUVW1Qus8eqeqqkNV1WQgGhisKEovjSPpkqIoU4AiVVX3ap3lavhDwZwEYi74++iG/0+IJqEoihlXucxXVfUbrfN4E1VVy4ANyJ7fpaQANymKUoDr8v5YRVE+1zZS4/lDwewBEhVFiVcUxQLcASzVOJPwEYqiKMDHQJaqqq9onccbKIrSRlGUFg1/HQRMALI1DaVTqqr+VlXVaFVVO+H67FqvqurdGsdqNJ8vGFVV7cATwCpcG7CLVFXN1DaVvimKsgDYAXRTFOWEoigPaZ1Jx1KAe3B9Z5ne8OMGrUPpXHtgg6IoGbi+AVyjqqpX3X4rGkdGxQghhPAIn1/BCCGE0IYUjBBCCI+QghFCCOERUjBCCCE8QgpGCCGER0jBCCGE8AgpGCGEEB7x/wBOAbrwWtjgswAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_1b = img[:,:,2].copy()\n", + "str_1b = str_1b[283:288,890:895] \n", + "plt.imshow(str_1b, cmap ='Blues')\n", + "plt.show()\n", + "\n", + "p0 = [71, 1.7, 11, 1, 1, 0, 0]\n", + "determinar(str_1b,p0,FWHM_xib,FWHM_yib, incer = str_1b.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 2" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[207.39523454 1.05340756 1.02290869 2.3785664 2.2034983\n", + " 1.28470635 58.97679989]\n", + "2.480585247068367 2.4087658908107965\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_2b = img[:,:,2].copy()\n", + "str_2b = str_2b[252:257,949:955]\n", + "plt.imshow(str_2b, cmap='Blues')\n", + "plt.show()\n", + "\n", + "p0 = [50, 2.9, 2, 4, 1, 0, 0]\n", + "determinar(str_2b,p0,FWHM_xib,FWHM_yib, incer = str_2b.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 3" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[189.3566925 2.75095638 2.67312878 8.30245528 6.75026981\n", + " -4.8848669 80.55741834]\n", + "6.47800722275355 6.294737245460569\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_3b = img[:,:,2].copy()\n", + "str_3b = str_3b[309:324,619:636]\n", + "plt.imshow(str_3b, cmap='Blues')\n", + "plt.show()\n", + "\n", + "p0 = [14, 15, 10, 4, 1, 0, 0]\n", + "determinar(str_3b,p0,FWHM_xib,FWHM_yib, incer = str_3b.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 4" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[183.38176381 0.73671432 0.99916499 1.94780626 2.22736734\n", + " 3.06024167 63.6038059 ]\n", + "1.7348296501661935 2.3528537457692438\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_4b = img[:,:,2].copy()\n", + "str_4b = str_4b[18:23,607:612]\n", + "plt.imshow(str_4b, cmap='Blues')\n", + "plt.show()\n", + "\n", + "p0 = [9, 3, 6, 1.23, 1.46, 0, 0]\n", + "determinar(str_4b,p0,FWHM_xib,FWHM_yib, incer = str_4b.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 5" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[166.04481043 -1.21990199 1.38650382 4.52448629 4.2147847\n", + " -2.61241384 104.34156413]\n", + "-2.8726496561210997 3.2649669805187034\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_5b = img[:,:,2].copy()\n", + "str_5b = str_5b[347:356,542:552]\n", + "plt.imshow(str_5b, cmap='Blues')\n", + "plt.show()\n", + "\n", + "p0 = [8, 1.7, 1, 3.5, 1, 0, 0]\n", + "determinar(str_5b,p0,FWHM_xib,FWHM_yib, incer = str_5b.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 6" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[159.01793668 0.8552177 1.05546949 2.07193554 1.69511554\n", + " -0.21091069 89.9142516 ]\n", + "2.0138837865360038 2.4854407042295907\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_6b = img[:,:,2].copy()\n", + "str_6b = str_6b[295:300,307:312]\n", + "plt.imshow(str_6b, cmap='Blues')\n", + "plt.show()\n", + "\n", + "p0 = [123, 3, 5.9, 0.78, 1.7, 0, 0]\n", + "determinar(str_6b,p0,FWHM_xib,FWHM_yib, incer = str_6b.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 7" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[137.6552333 1.92930042 1.73162599 6.12640336 5.62271455\n", + " -0.84345339 86.564405 ]\n", + "4.543155312707578 4.077667599505995\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_7b = img[:,:,2].copy()\n", + "str_7b = str_7b[142:154,387:399]\n", + "plt.imshow(str_7b, cmap='Blues')\n", + "plt.show()\n", + "\n", + "p0 = [100, 2, 5, 3, 5, 0, 0]\n", + "determinar(str_7b,p0,FWHM_xib,FWHM_yib, incer = str_7b.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 8" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[152.36430635 1.12628322 1.39881391 2.06937349 2.37438637\n", + " -0.44230575 105.37899408]\n", + "2.6521942943381274 3.293955036969304\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_8b = img[:,:,2].copy()\n", + "str_8b = str_8b[459:465,322:327]\n", + "plt.imshow(str_8b, cmap='Blues')\n", + "plt.show()\n", + "\n", + "p0 = [30, 3.43, 6.4, 0.01, 0.5, 0, 0]\n", + "determinar(str_8b,p0,FWHM_xib,FWHM_yib, incer = str_8b.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 9" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[193.86710559 0.88686474 1.23340715 2.10631332 3.10028245\n", + " -15.54702541 41.51349323]\n", + "2.088406856621961 2.9044518727402315\n" + ] + }, + { + "data": { + "image/png": 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vbjcDfT6+NdAP8ohtWfX1ekmVUo1XacAkJRcWF/OPBQsYVFXF6z17cv/ZZ7M9JQWA4qQkHh45kr8MGkSi282fli/nZ2vX0q65WePKo8O/LRYagVsN1rqK2JbVWLcbgCVqvCqsutbWcseGDRTU1VHYvj0v9e3LgdjYH36iECzNymJ1RgaX797NZbt2MWz/fj7Mz+ejrl1xq8XmIVMvBO9aLFzr9fIrm43DBul5ROwrYqzLxUaLhUMGnE9iRDFeL9du28YFJSXU2e38efBglmVmnrQL7rZYmNW9O1936sRNW7dy7Y4dnFNezuu9erXp65XTM9NqZZrXy/95vTxnkDmIERlWsX4/Z3k8vHysn+hK0A3bv5/pGzeS5nTyZW4ub/XoQfMpvgEOxsby5ODBfJGby62bNvHztWvZlJrKy336UJKUFKLKo9dmk4llJhO3eDz83WJBGuCHQkQ2O0Z4PNhAjVeFWLuWFh5es4ZH1qyh0Wbj56NH81LfvqccVEfbnJbG/WPG8Hy/fnRqbOTpxYu5o6iIxNZpKErwzLRa6SIl5xpkvWBEtqzGut20AKtVWIWESUqmlpRw3bZtmKXk9Z49+axLF3xB6nL7hWBuTg5LMzO5ZscOppaWMnrfPt7p3p3ZublBu060+8xsZn/rNIavDDBGqP8KT8M4l4uVNhsuAzRtjeboAfQ1rQPoVSHqbjfZbLzapw9zc3K4ZfNmbtm8mfPKynild2++bd8+JNeMJh4heN1i4eceD7l+P6U6/yGg7+pOQ6bPRzefj8WqVRVUMV4vt2zaxF+XLCHN6eTPgwfzu6FDQxZUR9ubkMCjw4bx+NChmKXksVWreGT1ajIbG0N+7Uj3msWCH7jFANMYIq5ldWTKghqvCp5gDKCfMSEozMhgfbt2XFhSwtU7d/KPhQv5rEsX3isooMUgd7T0ptJk4j9mM9d7PPzeasWp495IxIXVGLebKpOJrQbog+vd92eg/3nIEHa0TuzUitds5uP8fBZkZ3PDtm1cvns3E/bu5Z89ejC/UydD3NXSm5lWK5f6fFzu9fK2jkNfyBCszbJarTJNg+UTQko2HTzIfLudu0NwuztF4zdqKBUUFHz3Z5PfzwWlpVzbOoD+7+7dgzqAHkz5tbVM37SJHjU17ExKYmafPmxPTf3u4yUlJRpWF1pBe25SsqalhWYhGBsTE5zHPE0tLS34fL5j/sSJqOZHb6+XNCnVFsZnoGttLXdu2EB+GAbQg2FXcjIPjRrFuIoKbty6lSeXLWNBVhZv9uzJYY3feIbRul7wKbebwT4fa3W6XjCiwmpc63iVGlw/dTFeL9dt28bUkhJq7Xb+NHgwy40yg1wIFmZns7JDBy7ftYtLd+9m+P79fFBQwDMmE24dtgj1ZpbFwmNuN9O9Xm7TaVhFVDfwvZoa2vn9TAjRtSO1GzixoYFHq6tJ1XIAPYgympr48ZYtjNy/n71WK09mZjI/IcEYwXsKgt3Ffcrl4gavl+6xsVRr9L06UTcwYn7kxEjJMLdbtapOQQePh7/v3cs/KiposNl4KAgz0PXgQFwcfzrrLH41fDgtJhPP7tnDy6WlFDidWpemay9brTiAG3S6MWLEhNUwtxs7aspCW5il5IbDh/m8uJiRTU38JT2d+88+W/M7fcG2IT2dK/Pz+UNmJj2dTt7ftYtf7ttHkgHmFGlhq8nEYpOJW7xeXW6KGJIxKykl3jC/IMY4nbiAZSZTyK59zjnnhORxw6nTgQNcs3AhnQ8eZHNODu+NHcvhxESm9u+vdWkhsWzZMnYBjzidXLJ+PVdt386FTU18PGAAC7t3x2/g8azq6uqgP+ZbVisv19Zyqd3OPIcj6I9/Mu7WcedjiZgB9rEeDyutVloibFwiWOxuNxesXMmYjRtpiInh1cmTWd+1a8SN4xxPk8PB28OHs7B7d65dvZrrV61i/Pbt/HvYMLZmZmpdnm7MdTioNJm4qblZk7A6kYgIqwy/n94+H4+pjfaOqV9xMVcsWkRSUxNL+/blP8OH44zS71VFSgpPTprEoD17uHrNGh6aO5e1nTvzzllncSghQevyNOcVgn/FxvJgYyN5Xi8lOppcrZ9KzsCY1gHBhQYfGA62lIYGrli8mH4lJVSkpfHqlCmUdeigdVnaE4J1OTlsyMrivC1buGDDBp74+GPm9OnD7L59cUX56+jt2FjubWzk+uZmHk9M1Lqc70REWI13uzkoBJt0Oj8k3Ex+P2M3bGDqqlUgJR+PHMnC/v3xq+/P//BaLMzu149lXbty5dq1XLhhA6N37eL9wYNZ0aVL1HSRv6/KbOYLh4Nrmpt5MiFBN0Mrxg8rKRnr8bDYalXrwggMoP9o4UI6fW8AXTm+2rg4Xh4zhvk9enDt6tVMX7KECdu28e9hwyhp107r8jTxRmwsFzudXNLSwiydrGAwfFj18vnIkDLqu4AOt5upUTyAHgy727fn91OnMnLXLq5cu5bffP45S/Lz+WDQIOp18oYNl1U2G1stFm5qamJWTIwuXkeGD6vx0T5eJWVgAH3xYjWAHgRSCJYVFLA2J4cLN2xg0pYtDCkr4z/9+jGvVy+80dKVFoI3YmP5c309gz0e1upg/qLhw2qsx8N2s5nKaHkRHUUNoIeO02bj/SFDWNytG1evWcNVa9cydscOZg0dSlF2ti5aGqH2YUwMjzQ0cFNTkwqrM2WXkhEeD2/qbD5IqKkB9PA5kJjIcxMn0qeigmtWr+beb75hY8eOzBo6lMrkZK3LC6lmk4nfJCZSppPXlaHDapjHQwywKIq6gEcPoG9qHUCvUQPoIbcpK4vfXnwxE7Zt45Jvv+XxTz/lm549+bR/f1oiuMv9no7G6gwdVuM9HtzA8igIq+8PoL8yeTJFagA9rHwmE/N69WJlly5cum4d527Zwsjdu/lw0CAWFxQgDbx0xwgMHVZjPR5WWyw0RfIbVkr6tw6gJ6oBdF1ocDj458iRLGhdunPTihVM2LaNV0aPplyDrZGihaHD6sG4OGM/gZNIaWjgykWL6Ftayt527Xjl/PMpy8jQuqzTInw+Bn7+OWnl5VR37sy355+P1NFSjtNRnpbGnydPZkhZGdeuXs0D8+bx2IUXUhMXp3VpEcnQr5a1Edr9M/n9jC0qYurq1YEB9FGjAgPoBu1mxFVXM/6VV+iwaxcAOUVFdNqwgYXTplFn9EXEQlCYm8u+5GR+NXs2d8+fzx+nTMFj8CDWI2O++iOZlFy6dCmXLVvGzo4d+cO11zJ/4EDDBlXOunVc+vjjpJaXs2DaNF55+WW+vv12EqqrufR3v6P311+D3691mWdsX3IyL40ZQ051NT9evhx0uB+U0an415nRmzYxbsMGvhkwgE9GjTLsALrZ42HYe+/Ra+FCDubksGD6dOpbT1EuHTyYA127cvY//8mId9+lc1ERi2+6iSaDj/cUderExwMHcvm337InNZU5ffpoXVJEUWGlI5mHDnHZ0qVs6dyZTw0cVMmVlYyfOZO0vXvZMGkShZdeiv973aKW5GS+uvtuui9ZwvD33uPyxx5j+Y9+xK7hww37vAE+79ePTjU1XFlYSEVyMhuzs7UuKWIYs28RgaweDz+eO5cWu51/nXOOMRdlS0m3pUu5+Pe/J7a2ljk//Smrr7zyB0H1HSHYPmYMH/32txzOymLca68x8cUXcTQ0hLfuYBKCV0eNojw1ldsXLaJDXZ3WFUUMFVY6cdnSpWTW1PDPc86hQUcT8drK2tzM+JdfZsybb1LVpQsf//a37O3bt01f25CezuwHH2T15ZfTecMGLnv0UToXFYW44tBxW638fcIEvGYzP/3mG2JOsFWv0nYqrHRgwK5djN68mXmDBrG9c2etyzll6SUlXPq735G3di1rLrmEOffdR/MpLkWRJhMbJk/m00ceoSUxkUn/+Adnv/kmVoOeSFMdH8/z48aR3tDA7YsWISLgJoLWVFhpLKW+nh/Nn09pRgafDxumdTmnxu+n79y5XPjnPyP8fj5/8EGKpk49o5nch7Oz+fSXv2T9lCkULFvGZY8+SocdO4JYdPjs6NCBt4cNo19FBZevW6d1OYanBtg1ZPL7uemrrxDAG5MmGWohckx9PWNee41OmzdTMmgQS264AXeQJkP6rVYKL7uM8n79GPvaa0z961/ZeO65rL3kEnwGm1u3sEcPOtXUMHXTJvamprKySxetSzIsFVYamrJ6NV327+eNSZOoTkrSupw267hlC+NefRVbczNLr7uObWPHhuQO3oH8fD76zW8Y9v779PvqK7I3b2bhzTdz2GBd5X8PHUrH2lp+vGwZ+xMTKY3S3UfP1Enb60KITkKIBUKILUKIzUKIe8JRWKQr2LuXSYWFrOjZk7XdumldTpsIr5chH33ElGeewRUXx6ePPMK2ceNCOtXA63Cw7PrrmfPTn2JvbOTiJ56g/+zZCJ8vZNcMNp/ZzAvjxlHvcHD3/PkkNjdrXZIhtWVwwQs8IKXsBQwH7hRC9AptWZEtrqWFG+bN42ByMh+MGaN1OW0Sf+gQFzz5JAO+/JLto0fzySOPUBPGOUR7+/blo0cfpWzgQM765BMuePJJEquqwnb9M9UQE8NzEyYQ53Zz18KFWAwUtnpx0rCSUlZKKde1/rkB2ApkhbqwSHbt/PnEtbTw+nnn4TbAGEzWpk1c+vjjpFRW8s306Sy94QZ8Guz64IqPZ/706cy/5RaSKyu59LHHyF+xIux1nK7ytDReGT2agqoqrlu1SutyDOeUbtsIIXKBgcAPvtNCiOlCiEIhRKFU66KOK6W+nn4lJcw96ywq0tO1LuekTB4PY958k6aUFD769a8pOessbQsSguJhw/jw0Uc5mJfHmDfeMNTdwsLcXOb26sW4HTtIN/LkVw20OayEEPHAh8C9Usr6739cSjlTSjlESjlEGHH2dZh0q6gAYINB7goVrFhBXG0tq66+mkYdhWtzSgrz7ryThnbtmDBzJjEGmin+Ve/e+IXg7J07tS7FUNoUVkIIK4GgeltK+VFoS4psBXv30hATQ2VqqtalnJTwehnwxRdU5eVR0bOn1uX8gCcmhq9/8hNsLS2Mf/llwwy6H46LY2NWFqN27cKkJou2WVvuBgrgVWCrlPKp0JcUwaSkW0UFO7OyDLFYN3/1ahKqq1k/dapu663JzmbpddfRcft2Bn/6qdbltNniggJSm5vp09rSVk6uLS2rUcD1wAQhxPrWX+eHuK6I1K6ujpTGRnYYYCW+8Pvp/8UXVGdns6dfP63LOaFdI0eydcwYBnz5JZ3Xr9e6nDYp6tSJOoeDMaor2GZtuRu4VEoppJT9pJQDWn99EY7iIs2R8aqdWfq/mZq3di3JBw7oulV1tJXXXMOhzp0Z+9prJBw8qHU5J+UzmViWn8+A8nI176qN1NrAMOq2dy+1cXFU6f28Ob+fAbNnU5OZScmgQVpX0yY+q5Wvb78dhGDiiy9ibj2pW8+WFBRglpLRu3drXYohqLAKFykpMMh4VecNG0itqKDo/PPBQNspN6ans/Dmm2m3Zw8jZs3SupyT2p+UxPaMjMBdQTXd56SM80o0uIyaGhKbm/U/XiUlAz//nPr0dHZrPafqNJT378/6KVPosWQJBcuWaV3OSS0uKKBDfT3dDhzQuhTdU2EVJt327gVgp87DKnvzZtLLyiiaMgVpoF0gjrb24ovZ1707o95+m+zDh7Uu54QKc3NptlrVQHsbqLAKk4KKCqoTEqjW81Hvra2qxtRUdo4YoXU1p02azSyYPh1XbCx3LVig65063RYLK7t04azSUmJcLq3L0TUVVmEgjh6v0rHMHTvI2L2bosmTj79vukG0JCYy/7bbaNfYyM3Llul6TGhxQQE2n4/hJSVal6JrKqzCoGN1NfFOp+7HqwbMnk1zUhI7Ro3SupSgOFBQwPuDBzOkrIzzNm/WupzjKktLoyw1lbEGWuOoBRVWYVBggPGq9rt3k7V1KxsnTcJns2ldTtDM7d2bwpwcrly7lgK9DmILweKCAnIOHyanulrranRLhVUYFFRUUJWURG18vNalHNeA2bNxxsez1SD7a7WZELw2ahSH4uP5ycKFJLa0aF3RMa3s0gW32awWN5+ACqsQE34/+RUVuu4CZldV0XnjRjadcw5eh0PrcoKuxWbjH+PHE+t2c/uiRbpcPNxst7M2J4cRu3dj83q1LkeXVFiFWPbBg8S63boeXD+vsBBXTAybx4/XupSQ2ZuaylsjRtBz/34u/fZbrcs5pkUFBcR6PAwuK9O6FF1SYRViel8P2KG6mgHFxWyeOBGPAQ9XPRXL8vNZVFDABRs30r+8XOtyfmB7hw4cSEhgjBpoPyYVViHWbe9eKlNSaAjSMVXBNmntWlxWK5snTtS6lLD417BhlKWmcuuSJbTT206drQPtPQ4cIMNAmwmGiwqrEDL5fHStrNTtXcD02loG79zJkj59cOl48D+YvBYLz7d2d+9cuBCLzsaHluXn41O7iB6TCqsQ6lxVhd3jYYdOu4Dnrl2L12Ri/oABWpcSVgcTEnj57LPJra7mutWrtS7nf9TFxlKUnc3oXbsw6/BGgJZUWIXQkfGqXToMq9T6eoZu387y3r1120UNpaJOnZjdty/jduxg5K5dWpfzPxZ360aS00k/HY6raUmFVQh127uXve3a0RQTo3UpP3DOunVI4JuBA7UuRTMfDRzI1g4duGHFCrJrarQu5zsbs7KoiYlRi5u/R4VViFh8PvIqK3V5FzCxsZHhW7awsmdPahMStC5HM36TiRfHjKHZZuPOBQtw6GTBs99kYmlBAf0qKkhuatK6HN1QYRUiufv3Y/P5dDkZdOK332KSkq/DvQuolCAlQkdjMfWxscwYN470hgZdLXhekp+PSUpG66yLqiUVViFSsHcvfiHY3bGj1qX8j/iWFkZv3kxht25UJyWF9dqDPvuMW6ZPZ/g774T1uiezMyODDwYP5qyyMiZt2aJ1OQAcTExkS2YmZ+/cidBJgGpNhVWIFFRUUJ6eTosGx6yfyPhvv8Xi9TJvyJCwXjfxwAH6z5kDQO8FC+i2ZElYr38yc3r3Zm3nzlxZWEi+ThY8LykooH1jIz0qK7UuRRdCsmmRlBJXBG4klpGR0abPs7jddDlwgFUjRrT5a8LB0dzM2E2b2NqnD/TowdGV3XLLLaG7sJQwaRLExcGmTXDzzYyZNYsxt94Ko0eH7rpA4ilsdrhn7Fi6Pfww961cybw//xlXmFue32dyu3GtXcs1jY2snDLlBx9funSpBlWF1uET7OyqWlYh0Km8HLPPR6nOjog/a+VK7G43y8aODe+F33kHvv4anngCsrPh3XchNxcuuwx0tA7OExfH8vvvx9bYyPDnntN8bM1vs7Hn7LPJWr0am95m22tAhVUI5BQX4zOZKO/cWetSvmNzOhm6ciXbe/SgqkOH8F24thbuvx+GDIHbbgv8W0oKfPYZuN1w8cWgoztedbm5rJs2jYxNm+j93ntal0PxhAmYvV5ydNZt1oIKqxDIKSlhX1YWHh2NVw1evZqYlhaWhrtV9atfQVUVvPgiHH0ARY8eMGsWbNwIN94IOrpDWDp+PMXjx9Pr44/JXLdO01rqcnKo7tqVvPnzdXOnUisqrILM5nKRVVFBmY66gBa3m+HLl7M7P5/KcE6lWLMGXngB7roLBg/+4cenTIG//AU+/BB+97vw1dUG3958MzW5uQz9xz+IrarStJaSCRNILi8nNcoPQ1VhFWSdysow+f2U5uVpXcp3BhUWEtfUxNJx48J3UZ8Pbr8dOnQ4cRDdf3+gZfXoo4HQ0gmfzcby++5DSMnIp5/GpOGE0T0jR+K12wOtqyimwirIckpK8JrN7NXJeJXZ42H40qWU5eZSnpMTvgu/8AKsWwfPPAMnuiMnRKCLOHw43HADrF8frgpPqqlDB1bfcQepxcUM+Oc/NavDGxtL+fDhdF62DIvTqVkdWlNhFWS5xcVUdOqE12rVuhQA+n/7LYkNDSwJZ6tq3z545BE47zy48sqTf77DAR9/DKmpgQF3jbtdR9t31llsu+gi8ufNo7OGg9zFEyZgdTrptGKFZjVoTYVVENlbWuhQWambLqDJ52PkkiXs7dQpvNMo7r8/cKfvH/8ItJzaokMH+OQTOHgwMKVBJ+v0ADZecw1VPXsyZOZMEvfs0aSG6u7dqe/YMaq7giqsgqhzaSkmKXUzuN6nqIjk2trAHcC2hsaZmjs3MI/qkUcgP//UvnbwYHj9dVi2DO64Qzd3v6TZzMp77sETE8PIp57C0twc/iKEoHjCBNrt2EFi69Fu0UaFVRDllpTgsVio0MHiZeH3M2rxYvZ36MCubt3Cc9GWFrjzTujWDR566PQe4+qrA0H36qvw978Ht74z4ExJYeW99xJ/4ABnvfiiJkFaNmYMfrM5altXKqyCKLe4mPKcHHw6OHq916ZNpFVXB+4AhqtV9ac/we7dMGMGnMkcs8cfD4xd3XcfzJsXvPrO0MFevdh4zTV0WrWKgi+/DPv1XUlJVAwZQs7ixZg8nrBfX2sqrIIkpqmJjAMHKNPDeJXfz6hFiziYns62nj3Dc83t2wNhdd11MGHCmT2WyQRvvQW9esFVV4GONqHbftFFVAwZQv9//Yu07dvDfv2SCRNwNDTQsbAw7NfWmgqrIMkpKQHQxeB6923baF9VFRirMoXhv1jKwBhTTAz87W/BecyEhMCSHLMZLroI9HLaixCsvuMOmtu1Y8Qzz2APc10H+vWjKS2NLlHYFVRhFSS5JSW4bDYqtd4ZVEpGL1rE4dRUtvTpE55rzpoF8+fDH/8IwdxlIi8PPvgAdu2CH/0oMNFUBzxxcSy/7z7sDQ1hX/AsTSZKx48nY+NGOkZZV1CFVZDklJRQnpOD/+j1bxrounMnmfv2sWzMGGQ4aqmpCYwtDR0K06cH//HHjQsMtH/5JTz8cPAf/zTV5uWx7uabAwue338/rNcuaZ0zd3l9fVivqzUVVkEQ39BA+sGD2m8JIyWjFy6kLimJjf37h+eajzwChw79cKFyMN1+e6Cb+eSToOFM8u8rmTCBknHj6PXRR3QI45H0zenpHOjblysaGjDpZHpHOKiwCgK9jFfllpTQqbyc5WefjT8cdyRXrw6E1N13Q6hPyXnmGRg/Hm69FVauDO21TsG6adOoyclhWJgXPBdPmEBHr5dRWsz50ogKqyDIKSmhxeHgQGampnWMXriQhoQE1ofjIAivN9DiycwMTDUINasV3n8fsrLg0ktBJxMjfTYbK+6/H5PPF9b1g/uGDOGwycRVUdQVVGEVBLnFxezJzUWG487bcWSXlZFbUsKK0aPxhWNd4vPPw7ffwrPPnnihcjClpcF//gONjXDJJYFJqDrQ2KEDO84/n+w1a0gIU4j6rVY+TkxkQlMTqV5vWK6pNRVWZyixro7Uw4c1n181etEimmJj+TYcB0FUVMCvfw2TJ8Pll4f+ekfr3Rv+/e/Ajg4336ybJTk7J0/Ga7PR47PPwnbNDxITsQGXRMmWxyqszlBOcTGApoPrHSoqyN+5k1UjR+Kx2UJ/wfvuA4/n1BYqB9OFF8If/hDY2/1Pfwr/9Y/BnZhI8cSJ5CxdSsyhQ2G55i6bjXUOR6ArqJPQDiUVVmcot6SE5thYqtq316yG0YsW0eJwUDhsWOgvNmdOYOzoV7+Crl1Df73j+cUvAnOvHnkkMHlUB3ZMnQpA99mzw3bN9xMT6erxMCgK9rlSYXUmpCS3uJiy3NzwzBQ/hvT9++mxdStrhg/H7XCE9mJHFip37w4/+1lor3UyQgQWOw8aFFjis2mTtvUQmFKwZ9Qo8r75Jmyn0XwRH0+jEFEx0H7Sd5gQwiGEWC2EKBJCbBZCPBaOwowguaaGpLo6TbuAoxcvxmWzsXrEiNBf7IknoLj4zBcqB0tMDHz6KcTHB5bkVFdrXRHbLroIq8tF/ty5Ybles8nE5wkJTGlsJF5Hh26EQluaAy5ggpSyPzAAmCyEGB7Sqgwi98h4lUaD66kHD9Jr0yYKhw3DGRsb2ott2wZ//jNcf31gvpNeZGUFNu3btw+uuCIwlqah+k6dqBgyhII5czCHqWv2fmIisVIyNcIH2k8aVjKgsfWv1tZfkT+a1wa5JSU0xMdTnZ6uyfVHLVmC12Jh1ciRob3QkYXKcXHw17+G9lqnY9gwePllWLgQ7r1X62rYdvHF2Bsa6LJgQViut8FuZ5vNxpUR3hVs00CLEMIshFgPVAHzpJSrQlqVQbTfvz9wYKgWd8QI7Fm1vWdPmuPjQ3uhHTtgwYJAEGh4I+GErr8errkmcFCFxkdWVXfrxuG8PDqH63h3IfhPQgL9XS7SI3jOVZvCSkrpk1IOALKBoUKIHyznF0JMF0IUCiEKZRTcRgXY27kznfbswaLRfuHlnTuTvWdP6A8I7doVcnJ0tRHeDxw8GNhSeexY0HqNJmBraqK5XbuwXU+0vucaNJyYHGqn9MyklLXAAmDyMT42U0o5REo5RGjU0gi3zX37YnO7yd+xQ5PrFw0aRHJtLbmtaxNDxmKBBx4I7I2+bFlor3W6HnwQGhoCLSuNX3+2hgbiq6o4HMbQzPR6qTGZcEZzWAkh0oUQya1/jgHOBbaFuC5D2JObS0N8PL03btTk+tt79qTF4aB/OI44v/nmwFFZTz4Z+mudqkWL4M03A4HVq5fW1ZDS+sOjJoxh1cHrZb8OttMOpbbEcCawQAixAVhDYMzq89CWZQzSZGJrnz7k79iBzeUK+/W9Viub+/Wjx5Yt2EO9Ti4uLnAM/KefBu4M6oXbDT/5CeTmBiaq6kBK65hZTRjvEmeqsAIp5QYp5UApZT8pZR8pZRiW2BvHlj59sHq9dNPoDVw0aBBWr5fe4ZgUedddgQNJ9XRH8G9/g61bA0t/Qj19o41SSkpoyMjAE+obH0dRLSvlpPZ26kRdUhK9NOoKVnbsyIGMjPB0BdPTA93Bt94KzGvSWkkJ/O53gUNRW5e66EFqcXFYu4B2v59Uv59KFVbKCZlMbOnTh667duHQYssSISgaNIisvXtpd+BA6K93//2BvayefTb01zoRKQOb/plMgY35dMJWX0/cwYNhDauM1ukKqmWlnNSWvn0x+3x037JFk+tv6t8fn8lE/3Bsrdu1a2Cm+IsvanvizCefwOzZgY3/OnXSro7vSWld1RDuO4GAalkpJ1fZsSOHU1PppdFi2ua4OHZ2707f9esxheMEmAcfhPp6mDkz9Nc6loYG+OlPoV+/wO86ktoaVrVhvhMIqmWltIUQbOnTh7ziYmKbmjQpYf3gwcQ3NYVnzteQIYGDTJ95BjS4C8qjjwa2NX7xxcAcMB1JKS6mITMTTxgH+zNVWCmnYnPfvpj8fnps3qzJ9Xfn59MQHx+egXaAn/88MMj+73+H53pHFBUFxsumT4dw7DRxilKKi8M6ZQECLatInxAKKqyC5mBGBgfT0zWbICrNZjYOGEDBjh3EhWP1/bnnQv/+gUmi4dqaxO8PzKlKTQ0cqKoz9ro64qqrwzpeBdExxwpUWAWPEGzp25fOZWXEa7T6vWjQIEx+P32LikJ/MSHgoYcCc5zCtTPmq6/CihWBeV6pqeG55ik4MrgezjuBEB1zrECFVVBt7tMHISU9NeoKVqenU96pU6ArGI7F5FdeGVjg/Je/hP5aVVWBrufYsYEdFnTou7DSoBsY6XcCQYVVUB1OT2d/hw6adQUh0LpKP3iQjuE4EspqDcy7WroUli8P7bUefDBwBNeMGZovVD6e1OJi6jMz8YZxcP3IhFDVslJO2Za+fckuLyeppkab6/fpg8dqZUC4BtqnTQv9AueFCwPHxj/4IPTsGbrrnKGUkhJNuoAQ+XOsQIVV0G3p2xdAszlXboeDrb1702vjxvDssxUXFzhEIlQLnN3uwC6lubmBk2x0yl5bS2x1tWZhpVpWyimrTUmhIjtbs7CCQFfQ4XLRI1wz6u+6K3CARCgWOB9ZqPz887pZqHwsR7aF0eJOIKiWlXKaNvftS+a+faRodNpKWU4ONSkp4Vl+A4Gtjn/84+AvcC4uDiynufxyOP/84D1uCKTu3o0UgloNBtdBtayU07S1d28A7QbaTSaKBg0ir7iY5HCNnR1Z4Pzcc8F5vCMLlS0WXS1UPp6UkhIaMjPxxsSE9bqZXi+HTSZcET4hFFRYhURDUhJ7cnI02zYGYMPAgUgh6Beugfb8/EALaMaMwLrBM/Xxx/DFF4GWVXb2mT9eCAm/n7SdO8M+XgXRM8cKVFiFzOa+fWlfVUV6OLZtOYb6pCSKu3YNdAXDNcP8oYeCs8D5yELl/v0DrSud67B+PY66OvYOHRr2a0fL7HVQYRUy23r3xi+Epq2rooEDSaqrIy/UB0occWSB89NPB+7ina5HHw2MfelwofKxdPnmG1qSktg3eHDYr50RJRNCQYVVyDTFx1PapUtg3Eqjo8nCeqDEEQ89dGYLnI9eqDxc/wd/xxw+TObatZSOH48Mc2g4omhCKKiwCqktffqQevgwHSorNbm+76gDJcK2i+mkSYF9pk5ngbPfD7ffrtuFyseSt2ABJikpnjAh7NfOiKJpC6DCKqS29eqFz2TStCu4ftAgLF5v+Go4ssB5y5bAAPmpeOUVWLkyMLcqJSU09QWR8PvJmz+f/f360ZSREfbrR8s+VkeosAohZ2wsxfn5mnYF94fzQIkjrroKOnc+tQXORxYqjxsH//d/ISstmDKKiog7dIjiiRM1uX40LbUBCNmzNEXgvI/i1lX1p2JhRga37tiBWLWK3e3bh6Cqk5ufk8OPVq/GtXYtFcdpsSwP8kLkzEsvJe/ZZ9kwcyaNffqc9PPzf/c72jU2UjR9Oi0rVgStjh0h3Dm136ef0hgXx8LERPwanMqd0XoTowLwtgaX0ckT/FCPvETRmW87d8ZjNjM0XHfkjmFl1654TSZG79wZtmseuOACPAkJZL399kk/N3HdOtrPmUPFddfRkpMThurOXHx9Pd22b6do0CD8GrVsOvh8VEfJhFBQYRVyTpuNDVlZnFVSggjXfKfvaXA4WN+pEyN278Ycphr8sbHsv+wyUpcsIaas7LifJzweuvz1rzg7dqTixhvDUlsw9F+3DpPfz3oNpiscEU1zrECFVViszssjuaWFbhpNEAVYWlBAotNJv/LysF1z/5VX4rda6Thr1nE/p+O//01sWRnF992H324PW21nxO9n4Nq1lHTpQk1ammZldPR6qTSbNbt+uKmwCoOiTp1wWSyadgU3ZWVRGxMT1q6gJyWFg1Onkj5nDtZDh37wcXtFBdlvvMGh8eOpHTkybHWdqS67d5NcW8u3Q4ZoWkcHny9qBtdBhVVYuK1W1nfqxJDSUkwadQX9JhPL8/Ppt3cvic3NYbvuvmuuQfh8ZL7//v9+QEq6PPUUmM2U3nNP2OoJhoGFhTTFxrJdw40ALW43KX6/alkpwbc6L48El4ueGk0QhUBX0CwlI3fvDts1ndnZVI8bR4dPPsF81JmKqQsXkrJyJXtuvRV3enrY6jlTcQ0NdNu2jQ0DB+LTsFWT2LpYXI1ZKUG3MSuLZqtV067g/qQkdrZvH+gKhnHe175rr8XS2EjGZ58BYGpqIu/ZZ2ksKKDy8svDVkcw9P/2W8x+v+ZdwMS6OgD2qZaVEmxei4VvO3dmUFkZlnAc8X4cSwsK6FhXR5eDB8N2zcaePakbNIjMd99FeDx0fvVVbIcOUfzgg4ZYqPwdv5+BhYWU5uVxuF07TUtRLSslpFZ36UKc203vigrNaliTl4fLYuHsMA60A1Rcdx32gwfJmTGDzPff58DFF9PYukmhUeSVlJBSU6N5qwr+27JSY1ZKSGzp2JFGu13TrqDTamVNbi5DS0qwhXHWc+2wYTR17UrHd9/Fk5RE2W23he3awTJwzRqaY2PZpoMTdhLq66k2mXBHyYRQUGEVVj6TibU5OQzcsyesQfF9SwsKiPF4GFxaGr6LCsHeG24AoPTuu/ElJobv2kEQ19hI961b2TBgAD6rVetySKyri6ppC6DCKuxW5+Xh8HrpG45DSI9jR0YGBxISwjrnCqD6nHMo/OgjDp13XlivGwz9dDKwfkRiXR37o6gLCCqswm5bhw7UxcRo2hVECJYVFNBz/37SGxrCemm3BlupnLHWgfWy3FyqdTLNIrG+XrWslNCSJhOFOTn0Ly/H4fFoVseyrl3xA6PC3LoyotzSUlIPH9ZNq8rqdhPT0hJVg+ugwkoTq7t0webz0X/PHs1qqImPZ3NWFqN27dJsgbVRDFyzhpaYGLb26qV1KQAkHLkTqFpWxrG4sZEHXS6tyzhlu9q353BsrLZdQWBpfj5pTU2azqrXu9imJnroaGAd/jvHSrWsDCRNSnIN2CqQQrAmL4++FRXEahi233buTKPNFvY5V0bSd/16zD4f32q4Fcz3JaqWlfFUC0G6RtsFn6lVeXlY/H4GadgV9FosrOzalUF79mAOxsGkkUZKBq1ZQ3nnzhzS0Y2B72avq5aVcRwUgnYGbFkBlLZrR1VCAkNPY6vkYFqan4/V5yP96681rUOPOpeWklZdzTqdDKwfkVhXR1NcXFRNCAWDh9Uhk4l2Bm1ZIQSr8/LoWVlJgtOpWRl70tLYk5pK+9mzNatBrwYVFtLicLC1DXvIh1NCfT31BptUGwyGDquDQhg3rAis0zNLGd6Z5N8nBEvz84nfto3YMG4do3cxzc302LyZjQMG4NXJwPoRiXV11CclaV1G2Bk6rKqFIA6INWhglaeksC8pibM0viu4smtX/BaLal0dpe/69Vh0NrB+RGJ9PQ2qZWUsB4UAMG7rqvWuYPf9+0kO4+6d39focFAzejTpc+ciNJyoqhtHBtY7deJghw5aV/M/jkwIVS2rExBCmIUQ3wohPg9lQafikNHDisBaQRMwRMuuIHBg6lSstbWkLFumaR160KmsjHaHDulmxvrRjkwIVWNWJ3YPsDVUhZyO71pWBr0jCFCZnEx5SormdwVrhw7F1a4d7U/1yPcINKiwEKfDwRadDawDJLVOW1Atq+MQQmQDU4FXQlvOqaluvXXb3sAtK4BVXbqQf/AgHWtrtSvCYuHg5MmkrFhB3Pbt2tWhJb+f3kVF9Ny8mY39++O12bSu6AdSW08JalBhdVzPAA8Bx23CCCGmCyEKhRCFJzoCOpjKhaAWGK7hNsHBsCw/n0a7nVsXLcKi4T5X+6+4And6Or3vvpuE9es1q0MLubt3M+2ll7j0gw841K4dK0aP1rqkH4hraGDM/PlUZmZSk5ysdTlhd9KwEkJcAFRJKdee6POklDOllEOklENEa/cs1HxCMM9i4TyvF2Hg1lVdbCyvjh5NzuHDXL1mjWZ1uNPT2ThjBu60NHrddx/Jy5drVku4tK+s5Edvvsn/vfEGsU1NfHL55bzyk59Qr7cw8Pu56KOPsLndfHLFFRBlE0KhbS2rUcBFQohS4B1gghDiXyGt6hTMsVppLyUDDTxuBVDUuTNze/dm4rZtDNJwsN2dkcGmF16gJS+PHr/4Be3mzdOsllBKrK3log8/5NYZM+hYUcG8yZN54Z572DRggC6D4KxVq+i6axfzpkyhun17rcvRxElXQkopHwYeBhBCjAN+JqX8v9CW1XbfWCx4gckeD+sMvlbqg8GD6XbgADcvW0ZZWhrVCQma1OFNSWHz3/9Oj4ceouCxxzA3NnLg0ks1qSXYHC0tjFy8mKErVwKwYtQolo8ZgzMmRuPKji/9wAEmfvUVO7p3Z91ZZ2ldjmb09yPkFNUIwUqzmckajvUEi89s5sVx40BK7po/n4SWFu1qiYtj61NPUTNiBF3/+ley3nwzrGcNBpvZ42H40qXc+fTTjFi2jM19+/LCPfcw/7zzdB1UZo+HS95/H6fdzueXXAJhGmLRo1MKKynlQinlBaEq5nTNtVjo7/fT0eBdQYCDCQm8NHYsmXV1/HL2bNq3zqvRgt9uZ/sf/8jBc88lZ+ZMcp5/3niB5ffTd/167nj2Wc6ZO5eK7Gxe/slP+M9ll+lvXOoYJsybR8aBA/znsstojo/XuhxNGb5lBTCndV+f8yKgdQWwsVMnnpw8mVi3m0dmz6ZLVZVmtUiLhZ2/+Q2Vl11G1qxZdP3Tn8Agd1+TVq3ilhkzuPjDD2mOi+NfN93EOzfcQFVmptaltUmXXbsYtmIFa4YNY3e3blqXo7mICKsdJhMlQkRMWAHsbt+eJ6ZOpcVm48E5cxhQVqZdMSYTJfffT/mNN5Lx+ed0++1vEW63dvWcRNyOHfS65x56338/DqeTj6+8kldvu43Srl21Lq3NYpqauPDDDzmYns43BjwNKBQiY6tBIZhjtXKT202MlLRESL/+QFISf5g6lXu+/pq7Fizg38OGMV+rAzaFoHz6dLyJieT9/e+Ym5rY/sQT+HU03mPft4/OM2eSPm8enqQkSn76U95JScFntB01peSCTz4hpqWFWTfcoLtdH7QSES0rCIxbxQBnR1DrCqAhJoa/TJ5MUXY2/7dyJVcUFmo6p6zymmvY9fDDJBcW0uvee3Wxw6ilro7c555j4LXXkrpoEXuvv551771H5dVXGy+ogIFr19J92zYWnHuuYbqs4WC8/8njWGY20wBM9nr5KsJ+ErmtVp6fMIHrVq7k/I0bSW1q4rXRo/FqNFWj6oIL8MbH0+3RR+lz111seeopPO3ahb0Ok8tF5vvvk/XWW5ibm6k6/3zKp03DbeB5SKmHDnHuF19Q3LUrq0aM0LocXYmYlpVbCOa3zmY33B2rNvCbTLw1YgQfDB7M8OJi7vvqK2I0PGzi8LhxbH3ySRz79tHnjjuw79sXvov7fLSfPZuB11xDzowZ1PfrR9Gbb7L74YcNHVQmr5dL3n8fr8XCZ5ddpsvJqVqKqO/GHIuFbCnpGwFTGI5JCL7o14+ZY8ZQUFXFw198QWpjo2bl1J11FpuffRZLfT19b7+dmFDvHCElycuX0/+mm8h/4gncaWls+sc/2PbkkzR36RLaa4fB2AUL6LhvH7MvuYTGKNwC5mQiKqzmWSz4iZwpDMezsmtXnj73XFKbmnhk9mw6HT6sWS2NvXuz+YUXAOhz553Eb9kSkuvEb91K77vvpteDD2Jyudj++ONsfPll6gcODMn1wq1zSQkjlyzh28GD2a6Tw1T1JqLC6qDJxNoImc1+Mls7duSP55+PBH7xxRf0Cmc37Huau3Rh44wZ+OLj6f3Tn5K49oRr3k+Jfe9euv3mN/S75RZiS0oovu8+1r/9NtUTJ0bMbG57SwsXf/ghNSkpfDVlitbl6FZEhRUEuoKDfT7SI7UreJSK1FT+cMEFVMfFce9XXzFy1y7NanFlZbHxhRdwZmbS64EHSF28+Iwez1JTQ+4zzzDwuutIWbaM8htvZN1777H/iiuQkXQDRUrO/89/iG9o4OMrr8Rjt2tdkW5FXFjNtVgwAZOioHUFUBMXxx+nTmVHhw7csmQJFxQVaXaDwZOezubnn6epoIDujzxC+mnsOmpyOsl6800GXXUVmR9+SNX557PunXconz4dX1xcCKrWVp+iInpv3MjiCROozM7Wuhxdi7iw2mgysVeIqOgKHtFis/H0ueeyoksXLlu3jhuWL8ekUcvSm5jI5mefpW7QIAr+8Acy33uvjV/opf1nnzHw6qvJmTmTusGDWf/WWxT//Od40tNDW7RGkmtqmPL55+zJyWH52WdrXY7uRcw8q+8IwVyLhas8HmxS4o6QcY2T8ZnNvDxmDNXx8VywYQMpzc28OG4cLg26TP7YWLY++STdHn2UvNa7heXTph17jElKUpYtI2fGDGJLS2no3Zsdjz9OQ//+Ya87nITPx8UffIAEPr3iCqSapnBSEfkdmmOxkACMMsiC26ARgo8GD+afI0bQt6KCh+bMIVGjbWakzcb2xx/nwNSpdHr9dfKeeQa+19qL37yZ3nfeSc+f/xzh87Ht979n40svRXxQAYxavJhOe/bw5YUXUmeA3R/0IPJaVsBii4VmAlMYFhhwucWZWtijBzWxsdy+cCGPfP45T02axAEtDhiwWNj98MP4EhLo+M47mBsa2P3LX2KvrKTzSy/RbsEC3Ckp7P7Zz6i68EJklPxfZZWXM2bhQjb268fmKAjmYInIV4dTCBZZLEzxePiF3R4xt7hPRVHnzvxlyhTu+fprfjl7Ns9NnMjujIzwFyIEpXfdhScxkZyZM4nbtYuY0lKkzUb5zTdTcc01+CNw4Px4bC4Xl7z/PvWJicy58EKtyzGUiOwGQuCuYK6UdI+CKQzHU5Kezh+mTqXZZuPBuXO129tdCCpuvJHiBx7AsXcvVRdeyLp336V82rSoCiqASV98QVJtLZ9ecQUuh0PrcgwlYsPqyIZ80XRX8FgOJibyxAUXsCc1lTsWLOCcEM0wb4v9l13Gqq+/pvjBB/GkpWlWh1Z6bNrEgHXrWDZmDOU5OVqXYzgRG1aVJhNFJlPEL71piwaHg79Onsz6zp25dtUqrlq9WrttZqL0rldCXR1TP/uMiuxslowfr3U5hhTRr5w5FgvDfT5SInAXhlPltlh4fvx4vunRg8mbN3PbwoWaHqgaVfx+Lv7wQ8w+H59ccQV+g5/CpJXIDiurFTMwUb0pAZAmE28PH857Q4YwtLSUB776ijgNt5mJFsOXLye3pIS5559PTRR2f4NFhOKod4vFIpN1MHdESMnmmhqWWK3cFoQz+BI0OscvFC5obOSvhw6xx2rlxxkZdJ0wQeuSQqI41NvWnERBYyMvFRWxLDWVX/foEdQ709u3bw/aY+lFTU0NHo/nmN+kiG5ZSSGYZ7Mx0ePBorqC/+Pz+HhuzMggw+vlo8pKOldXa11SxLH7fPxm+3ZqrVaezM+Pyik0wRTRYQUw12olWUqGqq7gD6yKieGKzEw8wC/nzqVPRYXWJUWUO0tKyG1p4Q/dulEfSTtFaCTiw2qxzYYLmKTjo6O0tNNm47LMTKoSErh//nzO1nCbmUgy8vBhLt2/n1lZWazVwZBIJIj4sGoUgmVWK5M8Hq1L0a0qi4UnzjuPrR06cMvy5Vyi4TYzkSDF7eYXO3eyMy6Ol9V8qqCJ+LAC+MpqpZvPR160LWw+BU6bjacmTmRJ165cWlTEzStWYI7i2f+nTUoe3rmTWJ+Px7t3xxOl88pCISq+k/NsNgDOVV3BE/KZTLwyciSf9OvH2F27uHf+fOyqRXpKLqusZERNDc/n5lIaG6t1ORElKsKqzGxmm9nMeeqNd3JC8PGAAbw2YgS9Kyv55dy5JGm0zYzR5DY1cUdJCStSUvhYHU4adFERVhDoCo70eIhXXZs2WVRQwDPjx5NZX8+vv/iCzNparUvSNavfz2+3b6fZYuGPBQVqmkIIRE1YzbXZsALjVeuqzTZkZ/PEpEnYfD5+NWcOBQcOaF2SLmW3tPCzXbvIb27mjwUF1LQOOyjBFTVhVWixcFgIdVfwFJW2a8fjU6ZQ73Dw0Lx5nKXVNjM6Yvf5GH74MPfu3s2swkJmrV3L+VVVzMrKYkVqqtblRayI3HzvWHxC8I3VyjluNyYp8atmepsdSkjg95Mnc++CBdyxeDHvNDczN5oO4pSSTk4nww4fZnhNDQPq6rBLSYvJxLqkJN7NymJVSgqVan+qkIqasAL4ymbjSrebgV4va9WM4lPS5HDwl3PP5balS7m2sJC0piZmDRmCjNDQt/t8DKqrY1hNDcNrashyOgEojYnhk8xMVqaksCEpCbeamhA2URVW861WvMB5Ho8Kq9PgsVh4fswYfrR2Ledt3UpKczMzR4/GEwlbnkhJp5YWhreGU/+jWk9rk5N5R7WeNBdVYVVnMrHKYmGS280Tag7MaZEmE/8+6yyq4+K4trCQ5OZmnhk/niYDvokdR7eeDh+mY+t2OUdaTytSU9mQmKgmdupEVIUVBO4KPt7cTJbPR0UktAg0MrdXLw7HxjJ96VJ+NWcOf5s4kUN630JHSjq3tp6GHaP1NCs7m5UpKew3YPBGg6gLq69aw2qSx8PrKqzOyJrcXOpiYrhnwQJ+/eWXPD1xIqU621zO4fMxqLb2u4A6uvX0cWYmK1XryTAievO9Y5KS1bW17Dab+VFi4il9aSRtvvd9Y8aMOe2vzayt5YFvviHB5eL5sWPZkJUVxMpOkZRk1tXRb98++lVU0G3/fmxS0tzaelqVksLKlBQOREDrKdo234u6lhVC8JXNxk1OJ7FS0hyhd7PCqTI5md9NmcL98+dz7/z5vDl8OIsKCsJ2fbvHQ6/9++lXUUHffftIb2wEoCIpiQ87dmRVSopqPUWA6AsrAuNWtzudjPF4mKNmGwdFXWwsfzzvPO5ctIibV6wgtamJj/v3D82yk9bWU/+KikDrqaoKq99Pi8XClsxMPu/Th40dO1IdH6/5tsZK8ERlWK20WKgXgklutwqrIHJarTwzYQI3rlzJJRs2kNbUxOsjRuALQovG7vHQq7KSfvv20beigvSmJgD2Jiczr0cPNmRlsaN9e3xqHDJiRWVYeYRgvtUa2D1USrXoNIh8JhOvjRjB4bg4Li0qIrm5mX+MHYvzVH8oSEnHujr6tbaeuldVYTm69dS3Lxs6duRwfHxonoiiO1EZVhC4K3iJ200/n48Nlqj9NoSGEHzSvz/VcXH8eMUKfjl3Lk9NnEjtSea2OTweera2nvpVVNDuqNbTV6r1FPWi9l36jdWKn8De7CqsQmNJfj41MTHctWgRv/7yS56aOJGKo+8SS0lWa+up7zFaT//p25cNWVkcjovT7Dko+tGmqQtCiFKgAfABXinlkBN9vq6nLhzli7o6LFIyqY21qqkLp6dzdTUPzJ+P1efjxbPPxuLzfde9S2tuBqA8OZkNWVlsyMpiZ3p60FpPkTzArqYuHN94KeWhINWkC19ZrfyqpYUMv58D6rZ2yOxJS+PxKVN44JtveOCbbwBosVrZnJnJpx07slG1npQ2iOr+z1c2G79qaWGS281bETBJUM+q4+P5w+TJDC8poSI5OaitJyU6tLU5IYGvhBBrhRDTj/UJQojpQohCIURhKGbFh8KW1r3ZH2luJl+dfBNyTXY73/TowbYOHVRQGUS+16ubY9naGlajpZSDgCnAnUKIHwxwSClnSimHSCmHCKNMBRCC6xMS8AMf1teTpQJLUb4zwu3mm5oa7tLJgSFtCispZUXr71XAx8DQUBYVTiVmM1clJpIgJR/U15OmDpRQFAZ6PLxdX88es5lZOhkiOWlYCSHihBAJR/4MTAI2hbqwcNpksXBtQgLZfj/v1NcTr5Nmr6JoobfXy7t1dRwSgiuTkqjWyc2ntlSRASwVQhQBq4HZUso5oS0r/FZarUxLSKCvz8c/6+uxq8BSolBXr5f3amtpEoLLk5PZr6OxxZPeDZRSFgP9w1CL5r6y2bg7Pp4ZjY281NjItPh4fEYZf1OUM9TZ5+PDujoArkhKolxHQQVRdBRXW71vt/NwbCwXuN38ralJN3dCFCWUOvh8fFBbS4yUXJmczG4drurQX0U68HJMDKlS8mBLCzVC8JiasKhEsDS/nw/q6kiTksuTktiiw6ACFVbH9eeYGFL9fu52OjlsMvH3mBitS1KUoEvy+3mvro5sn49rkpJYr+NTn1RYHY8Q/CIujhQp+W1zMzVC8GkErw1Uok+c38+sujq6eb3ckJTESp3v7abC6gSkENwZH09iQwN/a2rCFRvLHNUlVCKAQ0reqq9ngNfLtMREFug8qEANsJ+URwhuTkig0GLhmYMHGaWT2byKcrqsUvJafT0jPR7uTkjgS7td65LaRIVVGzQLwbUJCZRYrbxUVUX/1uOcFMVozFLyYn0957jd/Cw+ng91Mju9LVRYtVGdycQNGRlUm828duAAXd1urUtSlFMipOTZhgYudLv5VVwc/zLYTSMVVqfgoMXC9RkZ+IC3Dhwgy+vVuiRFaRsp+XNjI1e5XPwxNpaZJ9liWo9UWJ2iPVYrN3boQJzfzz/37ydV7dSg6J2UPNrUxE1OJ8/FxPC0AYMKVFidlq02G9MyMsj0+XjjwAHi1U4Nio79rLmZO1paeNXh4PdxcYY9zUmF1WkqdDi4Iz2dHm43M6uqsKnAUnToJ83NPNTczCy7nV/Gxxs2qECF1RlZGBvLg+3aMcLp5O8HD2JW6wgVHbmxpYXHmpr4xG7nvoQEpIGDClRYnbFP4+N5NDWVSS0t/LG6Wi18VnThSqeTPzc2Mtdm486EBPwGDypQM9iD4s3ERJJ9Pu6tq6PWZOKJlBRDN7cVY7vA5eK5hgaWWq3ckpiIJ0JeiyqsguTZ5GRS/H5ura/nsMnEiwY4N1GJPBNcLl6sr2etxcKNSUm4IiSoQIVV8AjBY6mpJPv9/Ly2ljqzmVlq4bMSRiPdbl6vr2erxcK1SUk0RVBQgQqroJJC8LN27Uj0+/l9dTW1JhNfqoXPShgM9nh4u66OMrOZq5OSqNfJvunBFHnPSGNeIbgjPZ21djvPHDzIaLXwWQmxPl4vs+rqqDKZuDIpicMRGFSgwioknCYTt7RvT7HVyotVVQxQC5+VECnwenm3tpbG1gMeDuhs3/RgUmEVIvVmMzdkZHCodeFzvlr4rARZjs/HB3V1SAIHPOyN4KACEKE46t1ms8l27doF/XG1VllZecpfkwcsA3zAKGBPkGsKlvT0dK1LCInm5matSwiJjn4/81wuEqTkooQEtup03/RTVVdXh9frPeadAdWyCrES4DwgDpgHRGYkKOHUXko+dzpJ9fu5MoKC6mRUWIXBRuACIBuYAyRqW45iYClS8qnTSbaUXJ2QwPooCSpQYRU2y4HLgb7AZ4Bx9mdU9CJeSj5yOunm93O1w8EqHZ9EEwoqrMJoDnADcDbwDhDZw6FKMMVIyQdOJwP9fq6321kQ4YPpx6LCKszeAe4GLgZeASJrjrESCjYpedvlYqTfzy12O19EUdfvaNH5rDX2ApAGPA4cBh7QthxFx8xS8obLxSSfj5/YbHwQpUEFKqw08zugHXA/cAj4o7blKDokpOQll4uLfD4etNl4K8rGqL5PhZWG7gVSgScItLBe0rQaRVek5Fm3m2t8Pn5rtTIjyoMKVFhpSgI/BpIJdA0PA+9rWZCiD1LyR7ebm71enrRa+ZsBTksOBzXArjEvcBWBWe7/As7VthxFBx7xeLjb6+UFi4XHVIvqOyqsdKAFuBDYCnwMDNO2HEVD97rdPOzx8KbFws9tNrXj7FFUWOlEHYFlOZXAF0BvbctRNHCrx8PvPR4+MJu522Yz/AEPwabCSkcOEOgGOoE1wBvASC0LUsLmWo+Hp91uZpvN3GK3R8QBD8GmwkpnSoHRBILqUgJjWRsJTCRN1qooJaQu9XqZ4XYz32TiBrsdrwqqY1JhpUMlwB1AR2Aa0Aw8B+wD3iSw1YwSGc7zennN5WKVycQ1DkdEHfAQbCqsdKwJeI3AgPtA4HXgEmApsAn4KZCiVXHKGRvr8/G2y8VGk4krHA6aVVCdkAorg1gP3Ml/W1uNwLMEWlv/RLW2jGaoz8e7Tie7heASh4N6FVQnpcLKYI60toYDA4BXgYsItLY2A/egWlt618/n4yOnk/1CcKHDwWEVVG2iwsrAioC7CLS2bgbqgWf4b2trtGaVKcfTw+/nM6eTeiG4wOGgKkJPogkF9Z2KAM0ExrNGAP35b2trCf9tbaVqVp1yRJ7fz3+cTrytQbVXBdUpUd+tCLOB/7a2fkxgsukzQAXwFoGN/5Twy/L7+dzpxCYlFzocFKugOmXqOxahmvnvpNL+BDb6uxBYDGzhvzs+KKHXvjWokqXkIoeDrSqoTov6rkWBDQQmlR5pbdUCT/O91lYIjmRTIFVK/uN00lFKLnM4KIrC7YiDRYVVFDm6tdUPeJnAqTuLgWU1Ndze3EyK369dgREmQUo+djrpKmXggAcVVGekTWElhEgWQnwghNgmhNgqhBgR6sKU0NpIYFJpR+AmoFYIHm9qYkN1NTPq6xnhdqvW1hmIlZIPnU76tR7wsFAF1Rlr6+Z7zwJzpJRXCCFsQGwIa1LCqIXAEp4vUlLo6fVyfUsLV7pcXO5ysdNs5i2Hg3ccDmrVOEub2aRkltPJML+fm+12vozifdOD6aSvQCFEEjCGwB1xpJRuKWVtiOtSNLDVYuGXCQn0S0vj7oQEalpbW9mqa3hKEgicvH2nzcaHKqiCpi3fyTzgIPC6EKI/sBa4R0rZdPQnCSGmA9MBzKrJa2gtQvCuw8G7DgddvF6K1RvulFQLwRiHQ+2eEGRtadtbgEHADCnlQAIrPn7x/U+SUs6UUg6RUg4xqS5DxFBBdXpUUAVfW1JlL7BXSrmq9e8fEAgvRVGUsDlpWEkp9wPlQojurf80kcC8QkVRlLBpaxv/buDt1juBxQTmFiqKooRNm8JKSrkeGBLaUhRFUY5PjYQrimIIKqwURTEEFVaKohiCCitFUQxBhZWiKIagwkpRFENQYaUoiiGosFIUxRBUWCmKYggqrBRFMQQVVoqiGIIKK0VRDEGFlaIohqDCSlEUQ1BhpSiKIaiwUhTFEFRYKYpiCCqsFEUxBBVWiqIYggorRVEMQYWVoiiGIKSUwX9QIQ4CZUF/4GNrBxwK07XCST0v44nU5xbO55UjpUw/1gdCElbhJIQolFJG3DFh6nkZT6Q+N708L9UNVBTFEFRYKYpiCJEQVjO1LiBE1PMynkh9brp4XoYfs1IUJTpEQstKUZQooMJKURRDMGxYCSEmCyG2CyF2CSF+oXU9wSKEeE0IUSWE2KR1LcEkhOgkhFgghNgihNgshLhH65qCQQjhEEKsFkIUtT6vx7SuKdiEEGYhxLdCiM+1rMOQYSWEMAPPA1OAXsCPhBC9tK0qaN4AJmtdRAh4gQeklL2A4cCdEfJ/5gImSCn7AwOAyUKI4dqWFHT3AFu1LsKQYQUMBXZJKYullG7gHeBijWsKCinlYuCw1nUEm5SyUkq5rvXPDQRe/FnaVnXmZEBj61+trb8i5q6VECIbmAq8onUtRg2rLKD8qL/vJQJe+NFCCJELDARWaVxKULR2k9YDVcA8KWVEPK9WzwAPAX6N6zBsWCkGJYSIBz4E7pVS1mtdTzBIKX1SygFANjBUCNFH45KCQghxAVAlpVyrdS1g3LCqADod9ffs1n9TdEwIYSUQVG9LKT/Sup5gk1LWAguInDHHUcBFQohSAkMtE4QQ/9KqGKOG1RqgQAiRJ4SwAdcAn2lck3ICQggBvApslVI+pXU9wSKESBdCJLf+OQY4F9imaVFBIqV8WEqZLaXMJfAemy+l/D+t6jFkWEkpvcBdwFwCA7XvSSk3a1tVcAghZgErgO5CiL1CiGla1xQko4DrCfx0Xt/663ytiwqCTGCBEGIDgR+i86SUmt7ij1RquY2iKIZgyJaVoijRR4WVoiiGoMJKURRDUGGlKIohqLBSFMUQVFgpimIIKqwURTGE/wcunDXAJAshbgAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_9b = img[:,:,2].copy()\n", + "str_9b = str_9b[277:284,1071:1076]\n", + "plt.imshow(str_9b, cmap='Blues')\n", + "plt.show()\n", + "\n", + "p0 = [10, 3, 6.4, 7.3, 1.1, 0, 0]\n", + "determinar(str_9b,p0,FWHM_xib,FWHM_yib, incer = str_9b.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estrella 10" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 2.21501512e+02 9.47560514e-01 1.06364334e+00 2.29364326e+00\n", + " 2.86413861e+00 -1.70292345e-02 4.60375723e+01]\n", + "2.231334493416455 2.5046886503061434\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 1440x504 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "str_10b = img[:,:,2].copy()\n", + "str_10b = str_10b[43:49,883:889]\n", + "plt.imshow(str_10b, cmap='Blues')\n", + "plt.show()\n", + "\n", + "p0 = [41, 12, 4, 1, 1, 0, 0]\n", + "determinar(str_10b,p0,FWHM_xib,FWHM_yib, incer = str_10b.flatten())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Los valores para el Full Width at Half Maximum (FHWM)\n", + "Considere el valor en dirección x & en dirección y. Saque la desviación estándar, el promedio, la mediana y el histograma" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.03980921 2.48058525 6.47800722 1.73482965 2.87264966 2.01388379\n", + " 4.54315531 2.65219429 2.08840686 2.23133449]\n", + "1.4045244740696985\n", + "2.9134855727199147\n", + "2.355959870242411\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "FWHM_xib = abs(np.array(FWHM_xib))\n", + "print(FWHM_xib)\n", + "stdxib = FWHM_xib.std()\n", + "print(stdxib)\n", + "meanxib = FWHM_xib.mean()\n", + "print(meanxib)\n", + "medianxib = np.median(FWHM_xib)\n", + "print(medianxib)\n", + "plt.hist(FWHM_xib.flatten())\n", + "plt.title('Valores FHWM en la dirección x para la image azul')\n", + "plt.xlabel('Valor FHWM')\n", + "plt.ylabel('No de imagénes con ese valor')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2.24913538 2.40876589 6.29473725 2.35285375 3.26496698 2.4854407\n", + " 4.0776676 3.29395504 2.90445187 2.50468865]\n", + "1.1699287444022204\n", + "3.183666310642008\n", + "2.7045702615231875\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "FWHM_yib = abs(np.array(FWHM_yib))\n", + "print(FWHM_yib)\n", + "stdyib = FWHM_yib.std()\n", + "print(stdyib)\n", + "meanyib = FWHM_yib.mean()\n", + "print(meanyib)\n", + "medianyib = np.median(FWHM_yib)\n", + "print(medianyib)\n", + "plt.hist(FWHM_yib.flatten())\n", + "plt.title('Valores FHWM en la dirección y para la image azul')\n", + "plt.xlabel('Valor FHWM')\n", + "plt.ylabel('No de imagénes con ese valor')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Comparemos los cuatro valores\n", + "En dirección x" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.2442375593713781 1.1220401417419346 1.233085493598224 1.4045244740696985\n", + "2.916621675050629 2.9834775770762554 2.845031227650905 2.9134855727199147\n", + "2.519035453328353 2.536875478494914 2.330006159119047 2.355959870242411\n" + ] + } + ], + "source": [ + "print(stdxi,stdxir,stdxig,stdxib)\n", + "print(meanxi,meanxir,meanxig,meanxib)\n", + "print(medianxi,medianxir,medianxig,medianxib)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En dirección y" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.2080118897663938 1.1882827213448535 1.1775361127169395 1.1699287444022204\n", + "3.0706026542016884 2.9267160396079794 3.0784388321736786 3.183666310642008\n", + "2.4351553795125156 2.347568909171641 2.495714741576891 2.7045702615231875\n" + ] + } + ], + "source": [ + "print(stdyi,stdyir,stdyig,stdyib)\n", + "print(meanyi,meanyir,meanyig,meanyib)\n", + "print(medianyi,medianyir,medianyig,medianyib)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Comparando los valores con y sin incertidumbre" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Para x" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2, 12)" + ] + }, + "execution_count": 124, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# -- crear un array con todas las cantidades calculadas anteriormente para el FWHM\n", + "valuesx = np.array([[stdx,stdxr,stdxg,stdxb, meanx,meanxr,meanxg,meanxb, medianx,medianxr,medianxg,medianxb],\n", + " [stdxi,stdxir,stdxig,stdxib, meanxi,meanxir,meanxig,meanxib, medianxi,medianxir,medianxig,medianxib]])\n", + "valuesx.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": {}, + "outputs": [], + "source": [ + "# -- crear un data frame con esa información\n", + "FWHMxx = pd.DataFrame(data=valuesx,\n", + " columns=['stdxL','stdxR','stdxG','stdxB','meanxL','meanxR','meanxG','meanxB','medianxL','medianxR','medianxG','medianxB'], \n", + " index=['Sin-incertidumbre','Con-incertidumbre'])\n", + "# -- crear un data frame con la diferencia entre valores con y sin incertidumbre\n", + "resta = pd.DataFrame(data=abs(FWHMxx.loc['Sin-incertidumbre'] - FWHMxx.loc['Con-incertidumbre']).values.reshape(1,12), \n", + " columns=['stdxL','stdxR','stdxG','stdxB','meanxL','meanxR','meanxG','meanxB','medianxL','medianxR','medianxG','medianxB'],\n", + " index=['diferencia'])\n", + "# -- combinar ambos data frame\n", + "FWHMxx = FWHMxx.append(resta)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Para y" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": {}, + "outputs": [], + "source": [ + "# -- lo mismo pero en dirección y\n", + "valuesy = np.array([[stdy,stdyr,stdyg,stdyb, meany,meanyr,meanyg,meanyb, mediany,medianyr,medianyg,medianyb],\n", + " [stdyi,stdyir,stdyig,stdyib, meanyi,meanyir,meanyig,meanyib, medianyi,medianyir,medianyig,medianyib]])\n", + "\n", + "FWHMyy = pd.DataFrame(data=valuesy,\n", + " columns=['stdyL','stdyR','stdyG','stdyB','meanyL','meanyR','meanyG','meanyB','medianyL','medianyR','medianyG','medianyB'], \n", + " index=['Sin-incertidumbre','Con-incertidumbre'])\n", + "\n", + "resta = pd.DataFrame(data=abs(FWHMyy.loc['Sin-incertidumbre'] - FWHMyy.loc['Con-incertidumbre']).values.reshape(1,12), \n", + " columns=['stdyL','stdyR','stdyG','stdyB','meanyL','meanyR','meanyG','meanyB','medianyL','medianyR','medianyG','medianyB'],\n", + " index=['diferencia'])\n", + "FWHMyy = FWHMyy.append(resta)" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>stdxL</th>\n", + " <th>stdxR</th>\n", + " <th>stdxG</th>\n", + " <th>stdxB</th>\n", + " <th>meanxL</th>\n", + " <th>meanxR</th>\n", + " <th>meanxG</th>\n", + " <th>meanxB</th>\n", + " <th>medianxL</th>\n", + " <th>medianxR</th>\n", + " <th>medianxG</th>\n", + " <th>medianxB</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>Sin-incertidumbre</th>\n", + " <td>1.202031</td>\n", + " <td>1.137282</td>\n", + " <td>1.192085</td>\n", + " <td>1.301895</td>\n", + " <td>2.938495</td>\n", + " <td>2.834198</td>\n", + " <td>2.824878</td>\n", + " <td>2.982611</td>\n", + " <td>2.535912</td>\n", + " <td>2.463149</td>\n", + " <td>2.424866</td>\n", + " <td>2.517526</td>\n", + " </tr>\n", + " <tr>\n", + " <th>Con-incertidumbre</th>\n", + " <td>1.244238</td>\n", + " <td>1.122040</td>\n", + " <td>1.233085</td>\n", + " <td>1.404524</td>\n", + " <td>2.916622</td>\n", + " <td>2.983478</td>\n", + " <td>2.845031</td>\n", + " <td>2.913486</td>\n", + " <td>2.519035</td>\n", + " <td>2.536875</td>\n", + " <td>2.330006</td>\n", + " <td>2.355960</td>\n", + " </tr>\n", + " <tr>\n", + " <th>diferencia</th>\n", + " <td>0.042207</td>\n", + " <td>0.015242</td>\n", + " <td>0.041001</td>\n", + " <td>0.102629</td>\n", + " <td>0.021874</td>\n", + " <td>0.149280</td>\n", + " <td>0.020153</td>\n", + " <td>0.069125</td>\n", + " <td>0.016877</td>\n", + " <td>0.073726</td>\n", + " <td>0.094860</td>\n", + " <td>0.161566</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " stdxL stdxR stdxG stdxB meanxL meanxR \\\n", + "Sin-incertidumbre 1.202031 1.137282 1.192085 1.301895 2.938495 2.834198 \n", + "Con-incertidumbre 1.244238 1.122040 1.233085 1.404524 2.916622 2.983478 \n", + "diferencia 0.042207 0.015242 0.041001 0.102629 0.021874 0.149280 \n", + "\n", + " meanxG meanxB medianxL medianxR medianxG medianxB \n", + "Sin-incertidumbre 2.824878 2.982611 2.535912 2.463149 2.424866 2.517526 \n", + "Con-incertidumbre 2.845031 2.913486 2.519035 2.536875 2.330006 2.355960 \n", + "diferencia 0.020153 0.069125 0.016877 0.073726 0.094860 0.161566 " + ] + }, + "execution_count": 127, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "FWHMxx" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " 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<td>2.435155</td>\n", + " <td>2.347569</td>\n", + " <td>2.495715</td>\n", + " <td>2.704570</td>\n", + " </tr>\n", + " <tr>\n", + " <th>diferencia</th>\n", + " <td>0.044872</td>\n", + " <td>0.112229</td>\n", + " <td>0.053496</td>\n", + " <td>0.049637</td>\n", + " <td>0.011948</td>\n", + " <td>0.179466</td>\n", + " <td>0.020872</td>\n", + " <td>0.074783</td>\n", + " <td>0.100526</td>\n", + " <td>0.469415</td>\n", + " <td>0.292670</td>\n", + " <td>0.097341</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " stdyL stdyR stdyG stdyB meanyL meanyR \\\n", + "Sin-incertidumbre 1.163140 1.076054 1.124040 1.219566 3.058655 3.106182 \n", + "Con-incertidumbre 1.208012 1.188283 1.177536 1.169929 3.070603 2.926716 \n", + "diferencia 0.044872 0.112229 0.053496 0.049637 0.011948 0.179466 \n", + "\n", + " meanyG meanyB medianyL medianyR medianyG medianyB \n", + "Sin-incertidumbre 3.099311 3.108883 2.535681 2.816984 2.788384 2.607229 \n", + "Con-incertidumbre 3.078439 3.183666 2.435155 2.347569 2.495715 2.704570 \n", + "diferencia 0.020872 0.074783 0.100526 0.469415 0.292670 0.097341 " + ] + }, + "execution_count": 128, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "FWHMyy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Al incluir la incertidumbre los valores de FWHM si cambian. No se puede afirmar que el valor sea mas o menos preciso, sin embargo al darle un peso a cada pixel que conforma la imagen de la estrella, es mas facil manejar imagenes con mayor ruido como la Estrella 3 y 7." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "El módelo es extremadamente sensible a cualquier cambio, cambio de los parametros iniciales p0" + ] + }, { "cell_type": "code", "execution_count": null,