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": {},