diff --git a/ENTREGA.ipynb b/ENTREGA.ipynb
index 2b78929815a937902e21c8ecbaad74c3beb11d8e..81639168c8905c80bf5f98e2cdf4fd1805c9091c 100644
--- a/ENTREGA.ipynb
+++ b/ENTREGA.ipynb
@@ -1017,6 +1017,13 @@
"### Matriz R"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Seleccionamos las dos secciones en la matriz R."
+ ]
+ },
{
"cell_type": "code",
"execution_count": 38,
@@ -1027,6 +1034,13 @@
"seccion2R=R[100:200,250:450]"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Ahora recortamos las estrellas individuales"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 39,
@@ -1044,6 +1058,13 @@
"estrellasR=[star1R,star2R,star3R,star4R,star5R,star6R,star7R,star8R]"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Convertimos las imágenes en arreglos 1D."
+ ]
+ },
{
"cell_type": "code",
"execution_count": 40,
@@ -1054,6 +1075,13 @@
" ,np.reshape(star5R,144),np.reshape(star6R,144),np.reshape(star7R,144),np.reshape(star8R,144)]"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Creamos la lista con los valores iniciales."
+ ]
+ },
{
"cell_type": "code",
"execution_count": 41,
@@ -1068,6 +1096,13 @@
" d+=1"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Aplicamos la función leastsq utilizando los valores iniciales y la función error."
+ ]
+ },
{
"cell_type": "code",
"execution_count": 42,
@@ -1081,6 +1116,13 @@
" e+=1"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Como obtenemos el cuadrado de sigma, debemos tomar su raÃz para calcular el FWHMR."
+ ]
+ },
{
"cell_type": "code",
"execution_count": 43,
@@ -1094,6 +1136,13 @@
" f+=1"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Ahora aplicampos la ecuación de FWHMR y calculamos su promedio."
+ ]
+ },
{
"cell_type": "code",
"execution_count": 44,
@@ -1116,6 +1165,13 @@
"FWHMR.mean()"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Repetimos el proceso para la matriz G y B."
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},