Skip to content

Instantly share code, notes, and snippets.

@anetasie
Created January 22, 2013 03:01
Show Gist options
  • Select an option

  • Save anetasie/4591718 to your computer and use it in GitHub Desktop.

Select an option

Save anetasie/4591718 to your computer and use it in GitHub Desktop.
X-ray Spectrum Simple Fit in Sherpa
{
"metadata": {
"name": "X-ray Spectrum 11504"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"X-ray Spectrum Simple Fit in Sherpa"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from sherpa.astro.ui import *"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"WARNING: imaging routines will not be available, \n",
"failed to import sherpa.image.ds9_backend due to \n",
"'RuntimeErr: DS9Win unusable: Could not find ds9 on your PATH'\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"set_method(\"simplex\")\n",
"set_stat(\"cstat\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"load_data(\"11504.pi\")\n",
"notice(0.5,7)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"read ARF file 11504.warf\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"read RMF file 11504.wrmf\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"read ARF (background) file 11504_bkg.warf\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"read RMF (background) file 11504_bkg.wrmf\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"read background file 11504_bkg.pi\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot_data()\n",
"fig = gcf()\n",
"ax = fig.axes[0]\n",
"ax.set_yscale('log')\n",
"ax.set_xscale('log')\n",
"ax.set_xlim(0.3,10)\n",
"ax.set_ylim(0.002,0.11)\n",
"#display(fig)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"WARNING: unable to calculate errors using current statistic: cstat\n"
]
},
{
"output_type": "pyout",
"prompt_number": 4,
"text": [
"(0.002, 0.11)"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAEeCAYAAACdYvI/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XtUlHX+B/D3YF5gMy94FLzkLc0bxKQkYFxiDVJo0Y64\njqkJusJamrm5u+f8UsG27bKtXcwyaxPbLLJTnTbTTT0JXlJTUSHNbIXBtPZIOuNlDeTy+f2hPDEw\nw8x3bszA+3XOHJx5nu/3+3meZ+b5+Ny+X52ICIiIiBwU0NIBEBGRf2HiICIiJUwcRESkhImDiIiU\nMHEQEZESJg4iIlLCxEHkZzZs2IDk5OSWDoPaMCYOanNeeeUVjBkzBp06dUJGRob2eXV1NaZMmYKB\nAwciICAAhYWFFuVycnLQvn17dO7cGZ07d8Ytt9wCo9GoTT937hxSU1PRvXt3jBkzBl999ZXV9jMz\nMxEQEIDS0lKn4n/wwQfx+eefO1WWyB2YOKjN6dOnD5YuXYrMzMwm0+Li4vDOO+8gJCQEOp3OYppO\np4PBYMDly5dx+fJlXLp0CQMGDNCmGwwGdOjQAUeOHEFKSgomTJiAK1euWNSxe/dulJaWNqmbyJ8w\ncVCbM3nyZKSlpSE4ONji8/bt22PhwoUYN24c2rVr16SciMBWRwtlZWXYsWMHVq1ahVtvvRW5ubno\n0aMHPvjgA22empoaLFy4EKtWrbJZT72AgADk5eXhjjvuwMiRI5Gfn6+VycvLQ2xsrOpiE7nNTS0d\nAFFLUe1tR6fT4dNPP0XPnj1xzz33YNasWUhJSQEAnDx5El27dkWfPn20+cPCwnDixAnt/QsvvID4\n+HiEhYU51N7atWvxzjvvwGQy4aGHHkK3bt14bYN8Ao84qM1SPV00depUnDhxAqdPn8aUKVMwY8YM\nHDt2DABw/vx5i9NWADBo0CCcP38eAPD9999j7dq1WLFihcPtzZ07F2FhYYiLi4PBYMCmTZuU4iXy\nFCYOarNUjziGDx+OkJAQdOrUCenp6Zg5cybefPNNAEBwcLDFhXIAOHXqFHr06AEAWLRoEZYtW4bO\nnTtr7dprPyIiQvu3Xq/H3r17leIl8hQmDmqzXL1A3fCax9ChQ2E2m3HmzBlteklJCYYNGwYA+OKL\nL7BkyRKEhoaid+/eAIDo6Gjk5+fbrP/w4cPav4uKihATE+NSvETuwmsc1ObU1taiuroaNTU1qK2t\nRVVVFW666Sa0a9cOVVVVWjKoqqpCZWUlOnXqBAD45JNPEBcXh8DAQGzZsgUbNmzA7t27AQADBw5E\nYmIiHn30UaxcuRJvvfUWLly4gPT0dADAd999h7q6OgDXE05oaCg2bdqE8PBwm3G+9dZbGDt2LEwm\nE95//32sWbPGk6uFyHFC1MYsX75cdDqdxSs3N1dERPr37y86nU4CAgK0v+Xl5SIiYjAYJDg4WIKD\ng2XatGny4YcfWtR77tw5SUlJka5du8qYMWNk//79NmMICAiQU6dOae+zs7MlOztbe6/T6SQvL0/C\nw8Nl+PDhsmHDBqmrqxMRkby8PImNjXXb+iBSpRPhQE5EviYgIAD/+c9/MGjQoJYOhagJXuMgIiIl\nTBxEPohPlpMv46kqIiJSwiMOIiJS4pO345aVleGpp57CxYsXLfr6aYyH80REznHlZJNPHnEMHDhQ\neyLXHrnxEJY3XsuXL/fJOl2pw5myKmUcndcT69YfX768HrwdG39v6mUcnddVHk0cmZmZ6NWrV5NO\n3Xbu3Inhw4djyJAhWLVqlSdDcKuEhASfrNOVOpwpq1LGE+usNfPl9eXt2Ph7Uy/jrW3k0Yvju3bt\nws0334xZs2ahpKRE+1yv1+Oll15C//79kZycjN27d2PLli0oKirCkiVLtC4Z0tPT7Z6q8mD45EU5\nOTnIyclp6TCI2gRX950ePeKIjY1Ft27dLD67ePEigOsD5vTv3x9JSUnYv38/Zs6ciRdeeAG9e/fG\nhQsXkJ2djSNHjuDZZ5/1ZIjkI3z5f9pEZMnrF8cPHDigdfwGACNGjMC+ffu0cQ0AoHv37g73y9Pw\nf6kJCQncAfkpbjcizykoKEBBQYHb6vPJu6pU8PQGEVHzGv+nOjc316X6vH5XVWRkpMWoaMeOHUNU\nVJS3wyAiIid5PXF06dIFwPU7q4xGI7Zt24axY8d6OwwiInKSRxOHwWBATEwMTp48iX79+mHdunUA\ngBdffBFZWVkYP3485s+fr42SRkREvs+v+6ri7bhEROp8+nZcb8jJyXHr3QJERK1VQUGBW24o4hEH\nEVEb0+aPOIiIyLuYOIiISAkTBxERKWHiICIiJX6fOHhXFRGRY3hXFXhXFRGRM3hXFREReRUTBxER\nKWHiICIiJUwcRESkhImDiIiUMHEQEZESv08cfI6DiMgxfI4DfI6DiMgZfI6DiIi8iomDiIiUMHEQ\nEZESJg4iIlLCxEFEREqYOIiISInfJw4+x0FE5Bg+xwE+x0FE5Aw+x0FERF7FxEFEREqYOIiISAkT\nBxERKWHiICIiJUwcRESkhImDiIiUMHEQEZESJg4iIlLi94mDXY4QETmGXY6AXY4QETmDXY4QEZFX\nMXEQEZESJg4iIlLCxEFEREqYOIiISAkTBxERKWHiICIiJUwcRESkhImDiIiUMHEQEZESv08c7KuK\niMgx7KsK7KuKiMgZ7KuKiIi8iomDiIiUMHEQEZESJg4iIlLCxEFEREqYOIiISAkTBxERKWHiICIi\nJUwcRESkhImDiIiUMHEQEZESJg4iIlLCxEFEREqYOIiISInfJw6Ox0FE5BiOxwGOx0FE5AyPjcfx\n3HPP4fvvv3e6YiIiap1sJo4ffvgBMTExuPvuu/Hqq6+ioqLCm3EREZGPavZUVV1dHXbu3In8/Hx8\n8sknCA8Px/Tp0/HAAw+gc+fO3ozTKp6qIiJS5+q+0+FrHLW1tdi+fTv+/Oc/49tvv8XVq1edbtRd\nmDiIiNS5uu+8yZGZiouLkZ+fj40bN6JHjx54+umnnW6QiIj8m83EcfLkSeTn5+P9999HQEAADAYD\ntm7dikGDBnkzPiIi8jE2T1UNHjwY06ZNg8FgwKhRo7wdl0N4qoqISJ1XrnFUV1dj7969iIuLw9Wr\nV1FTU4NbbrnF6UbdhYmDiEidx57jqPfRRx9h7NixyMjIAACcOXMGkydPdrpBIm8xm82YOvUPMJvN\nLR0KUatiN3G8+uqr2LVrl3aEMXToUJw7d87jgRG5wmw2Iynp//DBBwuQlPR/TB5EbmQ3ceh0OgQF\nBWnvKyoqEBwc7NGgiFw1b96TOHBgCYABOHDgccyb92RLh0TUathNHFOnTsXjjz+Oq1evYv369Zg2\nbRpmzpzpjdiInLZ27VJERv4NgBGRkc9j7dqlLR0SUath9+K4iKCwsBAffvgh6urqMH36dERHRyMg\noOU71uXFcWqO2WzGvHlPYu3apejatWtLh0PkMzx+V9WyZcuwYsUK7X1tbS1mzpyJd9991+lG3YWJ\ng4hIncfvqjp9+rT2pHhVVRUeeOABDB061OkGiYjIv9k94qirq8ODDz6IsLAw7NixAxMnTsRjjz3m\nrfiaxSMOIiJ1HjviOHToEIqKinDkyBEsWrQIGzduxJAhQxAfH4+ioiKnGyT/4MlnIBrXrdoWn88g\nalk2jzgSEhKg0+m09yJi8X7Hjh2ej84OHnF4Rv0zEAcOLEFk5N+wdetTbru43LjuDz74I9LTn3O4\nLU/GRtRWuLzvFBv27NkjtbW1tib7hGbCJxekpy8WoEwAEaBU0tMXe6zuvn0TldryZGxEbYWr+06b\npbOysiQiIkJ++9vfyrp16+THH390qSFPYOLwDJPJJJGR8wUok8jI+WIymTxWt9FoVGrLk7ERtRWu\n7jvtXhz/5ptvsGXLFmzduhVmsxmJiYm47777MG7cOLRr1875Qx034Kkqz/HkMxCN61Zti89nELnG\nayMAAsDVq1exY8cObNmyBXv37sWhQ4ecbtgddDodli9fjoSEBCQkJLRoLEREvq6goAAFBQXIzc31\nbOLYu3cvRo4cqXVyeOnSJRw/fhxRUVFON+ouPOIgIlLn8SOOiIgIFBUVaV2M1NbWIjIy0iduyWXi\nICJS5/Enx9u1a4e6ujrtfV1dncV7IiJqW+wmjtTUVCxbtgw//vgjfvjhByxbtgy/+c1vvBEbERH5\nILuJY+HChejQoQOSkpKQlJSEDh06YNGiRd6IjYiIfJDdxBEcHIycnByUlJTg66+/Rm5uLrp37+6N\n2MgL7HX/0Vq696hfjvLycqeXp7WsCyKX2XvQo7S0VLKzsyUiIkJERI4ePSpPPvmkSw+PuIsD4VMz\n7D2Mp/pwnq/6ZTmPSlBQilPLwwcPqTVxdd9pt/SsWbPks88+0xJHXV2djBgxwqVG3YWJwzX2uv9Q\n7Q7EV/2ynM53V8KuTqg18XjiiIqKEhHREkdNTY3275bGxOEaHnHwiIPaJo8njscff1wOHjwoERER\nUllZKS+88IL86U9/cqlRd2HicJ3JZJL09MXajtDee39VvxxGo9Hp5Wkt64LI1X2n3QcAz549i2XL\nlmHz5s0ICAjAxIkTkZubi969e3v68otdfACQiEid1/qqqq6uhoigQ4cOTjfmbkwcRETqPP7k+Isv\nvohLly6hffv2WLp0KZKSkrBv3z6nGyQiIv9mN3G89dZbuOWWW/Dll1/iyJEjyM3NxdKlS70RGxER\n+SC7iaN9+/YAgLfffhvz5s1DdHQ0fvrpJ48HRkREvukmezPce++9iIuLw4ULF7B69WpcunRJ6ymX\niIjaHpsXx6urq7WjjdLSUvTp0wcdO3bE+fPncfbsWYSHh3s1UGt4cZyISJ3HLo5HR0cjLS0Na9as\nQUBAADp27Ajget9VvpA0yLsa9tPUXJ9NtqaZzWZMmvQwJk9eaDFNtf8nX+ovqnH/V670g0XkV5p7\nyKO0tFReffVVSUtLk9GjR8uiRYvk888/l8rKSpceHnEXO+GTmzR8alqvnyN6fZbVJ6htPV1tMplE\nr58jwJwbdWSJyWRSfhrbl57ebvo0uvNPpRN5m6v7TodLV1VVyfbt2+Xxxx+XyMhImThxoksNuwMT\nh3dY9tOUZbPPJlv9OV3/vGk51f6ffKm/qKb9X/lObET2eC1xiIhcu3ZNTp8+LSIi33//vUsNuwMT\nh3fwiKO5WHjEQf7H44kjLi5OLl68KJWVlXLbbbfJyJEj5emnn3apUXdh4vCehv00Nddnk61pJpNJ\n0tLmy6RJC5okG5X+n3ypv6jG/V+50g8WkTe5uu+02+XIHXfcgaNHjyIvLw/Hjx/Hs88+i+joaJ94\nepx3VRERqfN4lyNdunRBaWkp1q9fjxkzZkCn0+Hq1atON0hERP7NbuJYunQpMjMzMW7cOISHh+PU\nqVMYMmSIN2IjIiIfZPfJ8cDAQBQUFGjvBw8ejMcee8yTMRERkQ+ze41Dr9fj8OHDdj9rCbzGQUSk\nztV9p80jjr179+LLL79ERUUFVq5cqTVSUVGB4OBgpxskIiL/ZjNxXLt2DZcvX0ZtbS0uX74MEYFO\np8OwYcOwcOFCb8ZIREQ+xO6pKqPRiAEDBngpHDU8VUVEpM5jp6rqiQhWrFiBvXv3orKyUmv0iy++\ncLpRIiLyX3aPOFJTUxEdHY3ExEStm3WdTofRo0d7JcDm8IiDiEidq/tOu4kjPDwcxcXFTjfgrE8+\n+QSfffYZampqkJ2djbvuuqvJPEwcRETqPP7k+PTp07F8+XKcOnUKFy5c0F6elpaWhrVr1+KZZ57B\nunXrPN5eW+fsOBeNx6SwN16Hat2TJj2M1NSsJuN42IvF2tgftua3NT6Io+OO2BprpOEy1E9ztP6W\n4osxkQ+y15lV//79ZcCAAU1ejsrIyJCePXvKqFGjLD4vLCyUYcOGyW233SYvv/yyzfKLFy+Ww4cP\nW53mQPjkAGd7nW3aQ2zzveeqxnS9R90ZTXrVtRdLYGCS3TLWltmZXoD1+jkSFjbbanuNewUOC5ut\n1emu9eROvtT7MHmWq/tOj+95d+7cKUVFRU0SR0REhBQWForRaJTbb79dKioq5O2335ZFixbJ2bNn\npa6uTpYsWSLbt2+3HTwTh1s4O85F0zEpmh+vQz2mLIfrs4zFfhlry+zcuCO2Y2w6Domtf/vG+B2+\nNN4JeZbHE0deXp6sX7++yUtFWVmZReIwm80SERGhvV+wYIFs2rTJosxLL70ko0ePluzsbFmzZo31\n4Jk43IJHHDziqI+XRxxtg8cTx8MPPyyPPPKIPPLII2IwGCQ4OFgMBoNSI40Tx7Zt22TatGna+9de\ne02eeOIJpTpFri/88uXLtdeOHTuU66DrnB3novGYFPbG61CtOy1tvqSkzGsyjoe9WKyN/WFrflvj\ngzg67oitsUYaLkP9NEfrbym+GBO5bseOHRb7SlcTh927qho7e/YsMjMz8fnnnztcxmg04v7770dJ\nSQkAYPv27fjHP/6B9957DwCwZs0anD17Fk8++aRKKLyriojICR6/q6qxLl264OzZs043CACRkZE4\nceKE9v7YsWOIiopyqU4iIvIOu0+O33///dq/q6qqcPz4cfzxj390qdEuXboAAHbu3Ilbb70V27Zt\nw/Lly12qk4iIvMPuqaqGY3EEBgbijjvuQKdOnRxuwGAwoLCwEOfPn0fPnj2xYsUKZGRkoLCwENnZ\n2aiursbChQud6jiRp6qIiNR5/Mnxevv374dOp7P6BHdLYeIgIlLn8U4OCwoK8Lvf/Q5Dhw4FAHz3\n3Xd44403EB8f73Sj7pSTk4OEhAQkJCS0dChERD6toKDA4iySs+wecaSkpGDlypW4/fbbAQAnT57E\nokWLsHnzZpcbdxWPOIiI1Hn8riqTyYSQkBDtfa9evdiPDRFRG2b3VNVDDz2ECRMmYMqUKRARfPzx\nx5g9e7YXQiMiIl9k81TVd999hx9++AHx8fEoLi7Gpk2boNPpMG7cOPTu3Ru33Xabt2NtgqeqiIjU\neeyuqpSUFCxdurTJg3kHDhzAihUr8OmnnzrdqLswcRARqfPYNQ6j0Wj1ae7IyEiUlZU53SAREfk3\nm4nj559/RkVFRZPPKyoq8L///c+jQanIyclxy+1lREStXUFBAXJyclyux+apqoyMDISEhODpp5+2\n+PyJJ57AmTNnkJeX53LjruKpKiIidR67xmEymTBnzhwUFRUhNjYWALBr1y7ceeedePPNN9G9e3en\nG3UXJg4iInUe73LkypUr2Lx5M3Q6HSZMmICbb77Z6cbcjYmDiEid1/qq8kVMHERE6rw+HgcREbVt\nTBx+yGw2Y+rUP2hdvzR+b23e8vJyi7/OdBuj0q6jcTkah7W2J016GJMnL4TZbG6ynPbWRX1Za/M3\nrLu8vBwpKXMRGhqL1NRsh9ZfeXk5+vX7NcrLy63WV1++4eclJSXo1+/XKCkpaRJj49jsLWfj9huv\ng0mTHkZqapb2arwOHd1etua3t63s1WuvLme/v+RGLg0828JwY8zxtjTWuMlkksjI+QKUSWTkfDEa\njRbvG4+ffX3aUQkKSmnwt+m87mzX2vzW43IsDmtt6/VzBJgjQJmEhc0WvT6r2eVruC4CA5NulD0q\nQUETLeY3mUwN6j4qnTolCDBeex8YOKHZuI1GoxZDUFCKFBcXW9RX355eP0fCwmbf+HyXBASMF+Co\n9veXGMtEr8/SYrPcnk3jaNy+0Wi0WAfXY5nR4NV4HTq2vWxtQ3vbqn5ZHPkeqH7nyL76scdd3fX7\nfeJoa9LTFwtQJoAIUCp9+yZavE9PX2xl3sZ/m87rznatzW89LsfisN52VoPPsuwun+W6sD3/9fka\nTo93qP56jddLYOCdNspnNfg8UZpupywbsTUfR+P2+/ZNbLQOshq9Gq9Dx7aXrW1of1vZntfed8je\nd44cx8TRxvCIg0ccPOLgEYermDjaIJPJJOnpiy1+gA3fW5vXaDRa/HXmR6fSrqNxORqHtbbT0ubL\npEkLtB2ZveVrOE99WWvzN6zbaDTKxIlzJCTkbklJyXJo/RmNRunbN1HbaTeur758w8+Li4ulb99E\nKS4ubhJj49jsLWfj9huvg7S0+ZKSMk97NV6Hjm4vW/Pb21b26rVXl7PfX/qFq/tO3o5LRNTG8HZc\nIiLyKiYOIiJSwsRBRERKmDiIiEiJ3ycOjsdBROQYj4/H4Q94VxURkTreVUVERF7FxEFEREqYOIiI\nSAkTBxERKWHiICIiJUwcRESkhImDiIiUMHEQEZESv08cfHKciMgxfHIcfHKciMgZfHKciIi8iomD\niIiUMHEQEZESJg4iIlLCxEFEREqYOIiISAkTBxERKWHiICIiJUwcRESkhImDiIiU+H3iYF9VRESO\nYV9VYF9VRETOYF9VRETkVUwcRESkhImDiIiUMHEQEZESJo4WZjabMXXqH2A2m5udXl5e3mQ+e2Vd\nadddVNoxm82YNOlhpKZmYfLkhW6LzdEYnJmvcRlHp1mrr7y8XFv++nVQv91LSkrQp08cUlOztfka\nTrfWRnl5Ofr0iUNycobVdVq/vpOTZ6NPn0SUlJRo7Scnz0ZoaCySkzO0cvXzW9s2DbddfVt79uxB\nUNBo7Nmzx2KdpKTMRWhoLFJTs1FSUoLQ0Bj07p2A8vJyi/pSUuaiV69ohITcrS1D/ctafPbWf0Pl\n5eXo1+/XKC8vb3a5rG0jR7aptfL22vAr4sf8PHwxmUwSGTlfgDKJjJwvJpPJxvSjEhSUYjGfvbKu\ntOsuKu2YTCbR6+cIMEOAOQKUiV6f5XJsjsbgzHx6/RzR67O0Mkaj0aFpDetvuI0DA5NuLH/9Ojgq\nQUETBdglOl289lmnTuMbTW/aRljYDAkMvLdRfb+s01/W91QBJghw9EYbM258Nt6iXFjYbAkLm211\n21huu/oymwX4tQBHb/y9vk5GjJh+o+45AuwSYNyN9sskMHCCGI1GMZlMEhY2Q4D4BnE0fDWNT6/P\nanb9N9yeRqNR+z0FBibJyJHNf+ds/Q5tbVNr35nr68d932tXubrv9Os9r78njvT0xQKUCSAClEp6\n+mIb05vOZ6+sK+26i0o71+fNuvFyX2yOxuDcfJax9u2b6OC0X+q33MZZjdZB/bTERp81nm6tjXgr\n9TX+/mTdmK9x+/FWytneNpbbrn6eO63E2LDu+uWKl8bLcL2+eCvL0Fx8za//htuz6XzNf+ds/Q5t\nbVPr3xn3fq9dxcThx3jEYTkvjzh4xMEjDu9g4vBzJpNJ0tMXN/ulS09fLEajscl89sq60q67qLRj\nMpkkLW2+pKTMk0mTFrgtNkdjcGa+xmUcnWatPqPRqC1//Tqo3+7FxcXSu3espKRkafM1nG6tDaPR\nKL17x0pS0myr67R+fSclPSS9e98jxcXFWvtJSQ9JSMjdkpQ0WytXP7+1bdNw29W3tXv3bgkMvFN2\n795tsU4mTpwjISF3S0pKlhQXF0tISLSEhsaL0Wi0qG/ixDnSs2eU9Oo1TluG+pe1+Oyt/4aMRqP0\n7ZuoJSpby2VtGzmyTa2Vt9eGN7m67+ST40REbQyfHCciIq9i4iAiIiVMHEREpISJg4iIlPh94uB4\nHEREjuF4HOBdVUREzuBdVURE5FVMHEREpISJg4iIlDBxEBGREiYOIiJSwsRBRERKmDiIiEgJEwcR\nESlh4iAiIiVMHEREpISJg4iIlDBxEBGREiYOIiJSwsRBRERKmDiIiEgJEwcRESlh4iAiIiVMHOQT\nOPwvkf9g4iCfwMRB5D+YOBR4YufmjjpdqcOZsiplmBDU+PL68nZs/L2pl/HWNmLiUMAvsnoZX94R\n+iJfXl9MHK7X0Vp+bzoREa+05AE6na6lQyAi8kuu7PpvcmMcXufHOY+IyG/xVBURESlh4iAiIiVM\nHEREpISJg4iIlDBxkM+pqqrC4sWL8fvf/x7//ve/WzocolatrKwMc+fORXp6usNlmDjI5+zZsweR\nkZF47bXX8NFHH7V0OESt2sCBA/Hmm28qlWHiIK/IzMxEr169EBYWZvH5zp07MXz4cAwZMgSrVq0C\nAJSUlGDw4MEAgJ9//tnrsRL5O5XfmzOYOMgrMjIyrJ52evTRR/H6669j+/btWL16NX766SeEh4ej\ntLQUABAUFOTtUIn8nsrvzRlMHOQVsbGx6Natm8VnFy9eBADExcWhf//+SEpKwv79+xETE4ODBw9i\nwYIFeOCBB1oiXCK/pvJ7u3DhArKzs3HkyBE8++yzDtXv10+Ok387cOAAhg0bpr0fMWIE9u3bh5SU\nFDz//PMtGBlR69Pc723NmjVKdfGIg4iIlDBxUIuJjIzEiRMntPfHjh1DVFRUC0ZE1Hq58/fGxEEt\npkuXLgCu3+lhNBqxbds2jB07toWjImqd3Pl7Y+IgrzAYDIiJicHJkyfRr18/rFu3DgDw4osvIisr\nC+PHj8f8+fPRo0ePFo6UyP95+vfm1+NxEBGR9/GIg4iIlDBxEBGREiYOIiJSwsRBRERKmDiIiEgJ\nEwcRESlh4iAiIiVMHNRqtWvXDnq9Xns999xzLR2SJikpCWazGUajscmYCbYUFhYiJibG4rOamhqE\nhITgxx9/xPz583HgwAFPhEtkgb3jUqsVFBSEw4cPu7XOmpoa3HSTaz+bw4cPo2fPnujatSvMZrPD\n5WJjY3HmzBmcPn0at956KwBg+/btGDVqFEJDQ5GRkYFXXnkF69evdyk+Int4xEFtzoABA/DMM88g\nPDwcqampKCsrAwBUVlZi5cqViI+PR0pKCgoKCgAAeXl5SE9Px/jx45GcnIyqqiqsWLECI0eOxLRp\n0zBu3DgcOnQI69atw2OPPaa188Ybb2Dx4sVN2l+7di2mT5/e5PPS0lLceeedOHToEM6ePYslS5Yg\nOjoaDz30EMrKyhAQEICpU6ciPz9fK5Ofnw+DwQDgeid2RUVFuHz5sjtXF1FTQtRKtWvXTiIiIrTX\nxo0bRURkwIABsmzZMhER+ctf/iK5ubkiIrJu3Tp56aWXRETkv//9r9x1113a5926dZOysjIREdm4\ncaNMnTrh0LLjAAADZUlEQVRVqqqq5IsvvhCdTieHDh2SK1euyODBg6WmpkZERGJiYuTrr79uEldU\nVJSUlpaKiEhZWZmMGjVKTpw4IXq9XoqLi0VEJDMzUw4ePCgiIp999plkZ2eLiMjBgwdFr9eLiEhl\nZaX07NlTTCaTVvf9998ve/fuddMaJLKOp6qo1QoMDLR5qmrWrFkAgMTERKxYsQIA8OGHH8JoNGod\nwplMJm0I28TERAwYMAAAsHXrVkybNg0dOnTAPffcg/79+wMAfvWrXyExMRGffvophg0bhurqaowc\nObJJ26dOndJONQHAuXPnMGnSJHz88cdauc2bN6OoqKhJ2dGjR+PKlSs4efIkjh8/jqioKHTt2lWb\nPnjwYHz77bfsnp48iomD2qT6YTXbt2+PyspKAEBdXR1Wr16NuLg4i3l37dqF0NBQh+qdO3cunnrq\nKQwfPhyZmZk255MGfYt27doV/fv3x65duzBs2DDU1dUhICAA+/btQ8eOHZuUNRgMyM/PxzfffKOd\npmpYb0AAz0CTZ/EbRnTD9OnT8frrr2vXCOqPVqRRB9LJycnYuHEjrl27hsLCQpSXl2vT7rrrLpw5\ncwbvvvtuk516vcGDB1uU6dChAz766CO8/fbbeO+999CxY0dMnDgRr732GmprayEiKC4u1uY3GAz4\n5z//iR07diAtLc2i7tLSUgwdOtS1FUFkB484qNX6+eefodfrtfcTJkzAX//6V4t5dDoddDodAGDK\nlCn46aefkJycjEuXLmHQoEH417/+ZTEPAKSmpuLrr79GREQEwsPDMXLkSO10FQBMnToVR48e1QbO\naSwiIgInTpzA4MGDtRiCgoKwadMm3HvvvejcuTNyc3Px8ssvY8yYMbh27RoMBgPCw8MBAMOGDcPN\nN9+MyMhIBAYGWtRdWlqKESNGuLDWiOzjeBxEiurq6lBdXY2OHTviwIEDWLRoEfbs2aNNv++++7B0\n6VKMGzfOavnDhw/j+eefx4YNG9wa11dffYXVq1fzdlzyOB5xECm6evUq7rnnHlRWVmLo0KH4+9//\nDgAwm82IiYlBQkKCzaQBAHq9HhUVFbh48aLNoxJn5OXlYcGCBW6rj8gWHnEQEZESXhwnIiIlTBxE\nRKSEiYOIiJQwcRARkRImDiIiUsLEQURESv4f08JaowOa59kAAAAASUVORK5CYII=\n"
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"set_model(\"xsphabs.gal*xszphabs.zabs*powlaw1d.p1\")\n",
"set_par(gal.nh,0.0616)\n",
"freeze(gal)\n",
"set_par(zabs.redshift,0.181)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here I set a power law model and two absorption models (Galactic and redshifted absorber) from XSPEC model library:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot_model()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAEXCAYAAABPkyhHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n"
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fit()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"WARNING: data set 1 has associated backgrounds, but they have not been subtracted, nor have background models been set\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Dataset = 1\n",
"Method = neldermead\n",
"Statistic = cstat\n",
"Initial fit statistic = 2.39614e+07\n",
"Final fit statistic = 330.239 at function evaluation 612\n",
"Data points = 446\n",
"Degrees of freedom = 443\n",
"Probability [Q-value] = 0.999983\n",
"Reduced statistic = 0.74546\n",
"Change in statistic = 2.39611e+07\n",
" zabs.nH 0.0776895 \n",
" p1.gamma 1.67474 \n",
" p1.ampl 2.9574e-05 \n"
]
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot_fit()\n",
"fig = gcf()\n",
"ax = fig.axes[0]\n",
"ax.set_yscale('log')\n",
"ax.set_xlim(0.3,10)\n",
"ax.set_ylim(0.0008,0.11)\n",
"#print get_fit_plot()\n",
"#matplotlib.matplotlib_fname()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"WARNING: unable to calculate errors using current statistic: cstat\n"
]
},
{
"output_type": "pyout",
"prompt_number": 8,
"text": [
"(0.0008, 0.11)"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEXCAYAAACzhgONAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n"
}
],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#group_counts(10)\n",
"#set_stat(\"chi2modvar\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot_fit()\n",
"fig = gcf()\n",
"ax = fig.axes[0]\n",
"ax.set_yscale('log')\n",
"ax.set_xlim(0.3,10)\n",
"ax.set_ylim(0.0008,0.05)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"WARNING: unable to calculate errors using current statistic: cstat\n"
]
},
{
"output_type": "pyout",
"prompt_number": 10,
"text": [
"(0.0008, 0.05)"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEXCAYAAACzhgONAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSCcWCiIi0un/ATdPkZYZUuWgAAAAAElFTkSuQmCC\n"
}
],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#ungroup()\n",
"set_stat(\"cash\")\n",
"covar()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"WARNING: data set 1 has associated backgrounds, but they have not been subtracted, nor have background models been set\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Dataset = 1\n",
"Confidence Method = covariance\n",
"Iterative Fit Method = None\n",
"Fitting Method = neldermead\n",
"Statistic = cash\n",
"covariance 1-sigma (68.2689%) bounds:\n",
" Param Best-Fit Lower Bound Upper Bound\n",
" ----- -------- ----------- -----------\n",
" zabs.nH 0.0776895 -0.066125 0.066125\n",
" p1.gamma 1.67474 -0.153891 0.153891\n",
" p1.ampl 2.9574e-05 -4.39307e-06 4.39307e-06\n"
]
}
],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"set_conf_opt('numcores',0)\n",
"conf()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"WARNING: data set 1 has associated backgrounds, but they have not been subtracted, nor have background models been set\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"zabs.nH lower bound:\t-0.064875\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"zabs.nH upper bound:\t0.067375\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"p1.gamma lower bound:\t-0.152641\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"p1.gamma upper bound:\t0.156391\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"p1.ampl lower bound:\t-4.08418e-06\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"p1.ampl upper bound:\t4.73628e-06\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Dataset = 1\n",
"Confidence Method = confidence\n",
"Iterative Fit Method = None\n",
"Fitting Method = neldermead\n",
"Statistic = cash\n",
"confidence 1-sigma (68.2689%) bounds:\n",
" Param Best-Fit Lower Bound Upper Bound\n",
" ----- -------- ----------- -----------\n",
" zabs.nH 0.0776895 -0.064875 0.067375\n",
" p1.gamma 1.67474 -0.152641 0.156391\n",
" p1.ampl 2.9574e-05 -4.08418e-06 4.73628e-06\n"
]
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"list_priors()\n",
"stats, accept, params = get_draws(1, niter=1e4)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"WARNING: data set 1 has associated backgrounds, but they have not been subtracted, nor have background models been set\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Using Priors:\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"zabs.nH: <function flat at 0x10295dc80>\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"p1.gamma: <function flat at 0x10295dc80>\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"p1.ampl: <function flat at 0x10295dc80>\n"
]
}
],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot_trace(stats)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEUCAYAAADXzmpaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhGRINAiCIAjJ/D8fmvwU/UfLKAAAAABJRU5ErkJggg==\n"
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot_cdf(params[1])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAESCAYAAAD5d3KwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n"
}
],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print get_cdf_plot().median\n",
"print get_cdf_plot().upper\n",
"print get_cdf_plot().lower"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1.71834630749\n",
"1.86819936079\n",
"1.58368784489\n"
]
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot_pdf(params[1])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAESCAYAAAD5d3KwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nP/x4nGIAAAAASUVORK5CYII=\n"
}
],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot_scatter(params[0],params[1])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAETCAYAAADd6corAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n"
}
],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"calc_energy_flux(0.5,2)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 19,
"text": [
"4.8500793473021147e-14"
]
}
],
"prompt_number": 19
},
{
"cell_type": "heading",
"level": 4,
"metadata": {},
"source": [
"sample_flux below gives an unabsorbed power law model flux, and absorbed model flux in 0.5-2 keV"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fl = sample_flux(p1,0.5,2,num=1e4)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"WARNING: data set 1 has associated backgrounds, but they have not been subtracted, nor have background models been set\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"WARNING: data set 1 has associated backgrounds, but they have not been subtracted, nor have background models been set\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"original model flux = 4.73225e-14, + 8.6568e-15, - 7.87248e-15\n",
"model component flux = 6.65409e-14, + 9.74846e-15, - 9.6695e-15\n"
]
}
],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot_cdf(fl[2][:,0])\n",
"print get_cdf_plot().median"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"4.8316609369e-14\n"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAESCAYAAAAbq2nJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n"
}
],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment