X-ray analysis with backgrounds and adding your own response.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "architectural-throw",
   "metadata": {
    "tags": []
   },
   "source": [
    "# What happens if I want to model the particle background?\n",
    "\n",
    "The \"standard\" analysis routine for PHA data is some variant of\n",
    "\n",
    "- load in data\n",
    "- select the region of interest\n",
    "- setup the model, statistic, and optimiser\n",
    "- fit\n",
    "- error analysis\n",
    "- repeat the above tweaking various steps\n",
    "- profit (which is different from Randall Smith's [profit](https://heasarc.gsfc.nasa.gov/docs/software/profit/) package)\n",
    "\n",
    "There are many ways to complicate this, and one of them is to try and deal with features for which the standard response (i.e. ARF and RMF) are not valid, such as instrumental or the particle background (which tends not to see the lovely ARF you've lovingly crafted for your analysis).\n",
    "\n",
    "For Sherpa we can use the [set_full_model](https://cxc.cfa.harvard.edu/sherpa/ahelp/set_full_model.html) and [set_bkg_full_model](https://cxc.cfa.harvard.edu/sherpa/ahelp/set_bkg_full_model.html) commands to set up a model where we declare the respones to use, rather than having them automatically added by Sherpa as you do with [set_source](https://cxc.cfa.harvard.edu/sherpa/ahelp/set_source.html) and [set_bkg_source](https://cxc.cfa.harvard.edu/sherpa/ahelp/set_bkg_source.html).\n",
    "\n",
    "First let's look at how we fit the background rather than just subtracting it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "biblical-suspension",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "from sherpa.astro.ui import *\n",
    "\n",
    "set_stat('chi2datavar')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "solar-supplement",
   "metadata": {},
   "source": [
    "In part because I can, but it will be useful below, I decide to use a data set with a non-default id - in this case `\"simple\"` - which will mean this is often the first argument to a command:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "toxic-mills",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read ARF file data/acisf04938_000N002_r0043_arf3.fits\n",
      "read RMF file data/acisf04938_000N002_r0043_rmf3.fits\n",
      "read background file data/acisf04938_000N002_r0043_pha3.fits\n"
     ]
    }
   ],
   "source": [
    "load_pha('simple', 'data/acisf04938_000N002_r0043_pha3.fits')\n",
    "notice_id('simple', 0.5, 7)\n",
    "\n",
    "# I could have said\n",
    "# notice(0.5, 7)\n",
    "# as it is applied to all loaded data sets."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "frank-bleeding",
   "metadata": {},
   "source": [
    "We don't have a \"canned\" plot command to show the data and background, so we can use the generic [plot](https://cxc.cfa.harvard.edu/sherpa/ahelp/plot.html) command:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "infinite-skating",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEWCAYAAAB8LwAVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAB090lEQVR4nO29eZwdVZnw/33u0lvSTTohkCYhiREkBIJgIouODG4IyIgbgjA6+o4sLjO4zDiKy+AyvvM642hmRlnEZfyxitsoq84IopIgBIQQCBhjEhI6eyfd6f3e+/z+OOdUn1u37tKdXpPz/Xz607eqTp166lTVWZ7zPM8RVSUQCAQCgTipiRYgEAgEApOT0EAEAoFAIJHQQAQCgUAgkdBABAKBQCCR0EAEAoFAIJHQQAQCgUAgkdBATBAi8l0R+eJEy1EOEblaRG6sId2RIvKgiHSJyFfGQ7ZAYDy/HxF5i4g8LyL7ReQUEVkrImeNx7UnmtBATHJE5AERed8Izvu5iJw90uuq6pdUtZbrXg7sAlpU9WP22h8RkW0isk9Evi0i9QnyHSsifSJyU2z/+0Rkvf0Y7xWRo7xjHxaRDSLSKSIviMhXRSTjHT9ZRH5tr7tFRD5by72KyCUisklEukXkJyIy0ztWb++h097TR2Pnniwiq0Wkx/4/2Tt2jYioiFzo7cvYfQvttojI/xOR3fbvyyIiXvqFInK/zX+diLzOO/ZGEfmNiOy1sn1TRJprueeEMhjxfcbS/dLen/9cbhKRdpv3cyN5n0cTEblYRJ6178kOEfkvEWmpcMq/Ah9S1emq+riqnqCqD9i8rom/wwcToYE4CBGRacAy4FfjcLkFwNNqPS5F5A3AJ4DXAguBRcDnEs77OvCIv0NE/hz4EnABMBP4E3Crl+RnwMtUtQU4EXgp8Lfe8VuAB+25fw68X0TeVEl4ETkBuB54F3Ak0AN8w0tyDXCsvc9XAx8XkXPsuXXAfwM3Aa3AfwH/bfc79gCfF5F0GREuB95s7+Uk4HzgCu/4rcDjwCzgU8APRGS2PXYY8EXgKOB4YB7wL5XuN+H+RURSo3CfiMilQIZS/i+w0D63NwFfFJFlw5FzlPkt8EpVPQzzfmYw5ViOBcDa8RBs0qGq4W8c/oBTgMeALuB24DbMS9kK3AnsBDrs73n2nH8C8kAfsB/4T7t/BfA80AmsBl4Vu9abgJ/a36cCK4G9QDvwn0Cdl/YE4BeYimw7cLXdfw1wk/3dgKkcdtt8HsFUpt8FBoEBK9/rMJX0l7z8Xwtsi8l3MfB9/xp2/78CX/e2jwIUeHFCec4C/gf4hrevB1jibd8BfLLKc/kScIu3/WJ7P812eytwtnf8C8Bt9vfZ9rh4xzcD53hleDPwBPBXdl/G3tNCu/0QcLl3/l8Dq+zvlwD9Tha779fAlWXu5a3AmhrexQfsu/VboBc45kDu024fBjwHnG7vL1Pm2sfZ9/AdVWQ8C9gCXI0ZoW4ELvWOfxfTybgL80097L8nVPlGvHTTge8Bdyccq8e81wp0A3+0+zdi3vVz7LsyaNM9YY+/B9hg5fqTL/dU+wsjiHHA9rR+Avx/mN7tHcDb7OEU8B1ML2U+5oP9TwBV/RSmQnDD2w/Zcx4BTrZ53QLcISIN3iXPw3w4YBqYjwCHA2dgKuwPWLmaMZXsvZjK+BjgfxNu4a8wFcDRmIr5SqBXVd+DqQC/bOX7H0yD84R37hPAkSIyy16zBfg88LGkorJ//jaY0QL2/EtEpBNTabwU0/t3fA14t4hkReQ4e7//k3AdnyJ5VfWPmI/+JSLSiimX+P2c4J37pNpawfKkdxxM5fIZ4B9FJFvt+gn5b1DVrjLH45xJ7T3dd2FGL83APg78Pr8EXAtsS7qYiHxDRHqAdZgG4u4aZJyDeW/nYt7BG+xzdbwTMzptBdZjGj1HxW9ERP5MRPZhKvG3Yd6dIlS1X1Wn282XquqLY8fvtfd9u33/X2pH7/8OnKuqzcArgN/XcK+TktBAjA+nA1nga6o6qKo/wKpXVHW3qv5QVXtsRfBPGPVIWVT1JnteTlW/gunp+B/OudgPUFVXq+oqm3YjpkJ1+Z+P6d1/RVX7VLVLVR9OuOQgpmE4RlXzNs/OMuJNx1Q4Dvfb6ca/AHxLVZ9POPdu4B0icpKINAKfxVSwTd6936JGVfES4DrMqMdxJ/B2TCO7zl6nSI1Vg7xO5mZ7DErvx91LpXMjVPWnmBFiku49qbym23mImvIHEJHXYyrRmuZdgO+q6lpVzWFGiC7vpOtUlENElgOvBP6j3MVU9QM2/auAH2FGRrXwGVtR/wrT6XmHd+xHqvo7ew83YxoEd72K34iq/kaNismp5TbWKE8tFIATRaRRVdtVdcqqp0IDMT4cBWyN9cA2AYhIk4hcbydJOzE69BkVdNaIyMdE5Bk7ybYX07s/3B5bCnS6ClhEXiIid9qJx05Mj+dwm9XRwB9rkP//A+4DbhMzOfzlMr1hMENtf8LP/e6yE5uvA76adKKq/i/wj8APMeWzEdPD25KQ9g+Y3vI37H3OxIyEPo+p8I4G3iAiH6hyb3F5ncxd9hiU3o/r0Vc6N86nMXMIDbH9SeW1374rNeUvIqdjeslvV9XnEq6dhN9Aj/g+7fzFN4CrbEVdFtu5+A2mUn5/DTJ2qGq3t70J8y05/NFKD0MNesVvJCbTVsx7c1sN8lTFynsRZpTdLiJ3icji0ch7IggNxPjQDsz1rVMw6iQwqpbjgNNsz/hMu9+lLQq3KyKvAv4B05NqVdUZmN6cS++rl8AM+9cBx9r8r/bSPo/RuVfEjno+p6pLMEPm84F3l0m+FqP6cbwU2K6quzF65YXAZhHZBvwd8DYRecy71tdV9VhVPQLTUGSAp8pcK+PJvwjIq+r3bK9xC+ajP6/K7RXJKyKLML3N51S1A/Ps4vez1jv3pNhzPYkENY+q/gKjBok3WEnl5ee/KGaZ5B9HRE4Bfgr8H9vA1kr0Xh3gfbYAy4Hb7TN1I7Yt9l1Nwn9ulWi1KhvHfOCFaifV8I2MVJ4kSsJhq+p9qvp6oA3z7X1zhHlPOKGBGB9WAjngb8WYOb4VM3kMZtjdC+y1veB/jJ27HVP54aXPYVQWGTGmnH7v7o0U63ebMRN1+21Pxu+53QnMEWM+Wi8izSJyWlx4EXm1iCy1o5pOjMopX+Zevwf8tYgssTr8T2MmFAFuwHyIJ9u/6zCN2RvsdRpE5ERrWTPfpl9hKzBnAnuE/b0E+CRDcybPmd1yiYikRGQOpifn69WTuBn4CxF5la2MPo9RXbje8/eAT4tIqy2/y7z7ecCWw9/a8nNzRL8sc61PAR9PKK+PishcMSa9H3P529HA7zHzFw0i8hZMxfxDWwYnYnq/f6OqP6tyn9UY6X26+YuT7Z9rkJcBD4vIEWLMSqeLSFqMlds7KV9GcT4nInW20j8fM39XjYrfiIhcKiLz7Xu2AKPWHU7j6rMdWGhHUs4v6E32XerHjL7KfSuTn/GcET+U/zC9rMcZsmK6nSETxQcwL9JzGBPHyAoEM9H6HMbC6d+BNPAtTEXdjqlwNmJUN4dhPwrvumdiejH7MRPenwd+4x0/EfNxdGCG7J+w+69hyIrpncCzGEuO7VYOJ993gS/G7vWjNl0nZgK+vkyZRNew2zMwk5/dVpb/C6S949+x+Xbbe/4XoME7/hpMD3afPf+bQFMNz+YSjFVON8acc6Z3rB74tr2X7cBHY+eegrGS6cVYqZ1S7v7svrsptmIS4MsYK7I99rdvLbTQvh+99hm8LlYeBfts3d/aGu73AeB9sX0jvs9YuoUUv7+zMebWe23ea4DLapDxLIxq8VMYg4TNwLu840XvnUtvf5f9Ruzxf7J5d9v/NwCzvLzuwVrz2W3FzL+5bT+vWcBvMN/PY5hRw68w7+BeW9ZLqt3vZP0Te5OBgwAReQdGD/2OqokDgUmMGE/lm1R13gSLckgTVEwHF3spMwEcCAQCwyU0EAcRqvpzVV050XJMNkTkOjGhO+J/1020bGNFmfvdX2HieNwRE+8rScZ7Jlq2gCGomAKBQCCQSBhBBAKBQCCRpMBaU5bDDz9cFy5cONFiBAKBwJRh9erVu1R1dtKxg6qBWLhwIY8++uhEixEIBAJTBhHZVO5YUDEFAoFAIJHQQAQCgUAgkdBAjDMXXb+Si64PlqiBQGDyExqIQCAQCCQSGohAIBAIJBIaiEAgEAgkEhqIQCAQCCQSGohAIBAIJFKxgRCRvxORo8dLmEAgEAhMHqqNIOYCD4nIgyLyfhEpWdM1MDEEc9lAIDDWVGwgVPUjmHVgP4NZ6vBJEblHRN4dWyc3EAgEAgcZVecg1PArVX0/cDTwNeAjmGUJA4FAIHCQUnOwPhFZClyMWQh+N3D1WAl1KHDR9St5ur2TJW0t3H7FGSXbfjogSuN+BwKBwFhTsYEQkWMxjcI7gTxwG3C2qm4YB9kCgUAgMIFUG0HcB9wKXKSqa8ZBnkAgEAhMEio2EKq6yP0WkQXAsar6PyLSCGRUtWusBTzY6OobpLMvR0vDQbUURyAQOAipqZYSkcuAy4GZwIuBecB1wGvHTrSDA98UtatvkHXbuigopAQasukozdPtnWXzeLq9M5i0BgKBcadWT+oPAq8EOgFU9Q/AEWMl1MFKZ1+OgprfBYWc2wgEAoFJSK0NRL+qDrgNEckAoXYbJi0NGVJifqcEMm4jEAgEJiG1KsJ/JSJXA40i8nrgA8DPxk6sqUk1M9TmhiyL5zRHcxDPd/SOp3iBQCAwLGodQXwC2AmsAa4A7lbVT42ZVAcxzQ1Z5s5opLkhO9GiBAKBQEVqbSCuUdVvquqFqvp24NsicvNYChaoTFffIFv39rJ6U8dEixIIBA5Sam0g5ovIJwFEpA74EfCHMZNqClLOEunp9s6KFkouTU9/ruo1XF6rN3WwblsXWzp6ufTGVaGRCAQCY0KtDcR7gaW2kbgTeEBVrxkzqQIVWbVhd2QNNZgrsGrD7okVKBAIHJRUWw/iZSLyMuAUYAUmDtMfMJPWLxsH+Q5auvoG6R3M86dd+8kXFFWibX9E0NU3SH+uQFffIPmC0p8r0NpUF1lDZTMpTl80a4LuIhAIHMxUs2L6Smy7A1hi9yvwmrEQ6mCnq2+QZ9q7UGBHV2Q9TCGv7Oga4J3fXMWtl50OEDnWufQAn79zLfNnNpErKCsuPoVlC1rH/yYCgcBBT7UG4lPASlUNPg/DoJK569PtnfTnChWdSAY8tZFTJfnpB3MFcgVl7ozG0DgEAoExo1oD8W7gP0XkOeBe4F5V3Tb2Yh085AtKrqBs7+wjV1DyBSWTEgYp72koEKmNUjLUSDiymVSI5RQIBMacaivKXamqLwOuAVqB74rIShH5koicKSLp8RByqrJ6Uwc9A3kGcgU27u5hS0cvPQN5AI5vayaTFlqbiiv6dEo4vq2ZZQtaWbaglfkzm4qOZ9PCze87PfhRBAKBMacmKyZVXaeqX1XVczDzDr8BLgQeHkvhJivx9aDLmbiWsy7KFZTmhiyN2TTdA4WiY+mU8HxHb5R/PF6TiAS1UiAQGBdqaiBE5HS3BrWq9gK/Bm5S1eVjKdxUI19Qtu7tpatvEKCsdZEfgykejym+HVclhfhNgUBgvKhVkX0t4Ju1difsO6TJF5SegTw9A72kBBbPMWqipro0uYJy1GEN5ApKS0OmSD2UTgkpzHxEY12adKwBaG7I0lSXZua0OvZ0D5QcDwQCgbGi1gZCfEsmVS3YiK4By2B+SFVUUFi/s7tIDdVUl44aBt9zuqm+fDE61VU6Jcyd0cie7gH6c4VEz+lqgQLDetaBQGC41OpJvUFE/lZEsvbvKiCsS23p6htkMD80VyAYVVBX32A0Sb1uW1ekevLJF5QCZgTRM5AnX2aNCD+vS29clZhXIBAIjCa1NhBXAq8AtgJbgNMwK8wFMAsB+RzeXEc6JUX7C1qaDkonocstIuSfO5grJOYVCAQCo0lNaiJV3QFcPMayTFn8ieSUwLS6DPt6+4omlFNi0rnQGaogdtGgAS8vgSi0hj9X4V8j+EEEAoHxoFYrppeIyP+KyFN2+yQR+fTYijb5uej6lSy95j6e7+ilqS5NXSbF/JlNbN7TE/k+1GdSCIDCxt09rNvWxUCuYNRKOjRJLQw1DkkqKTdZXZdJcfP7Tufuq86MZAgEAoGxoFYV0zeBTwKDAKr6JGFEUUQ6JdRnUuQKWuT5rJjRgwiJx8AcixsnJamk3DWCH0QgEBgPam0gmlT1d7F9VZXgInKOiDwrIutF5BMJx0VE/t0ef9JFiBWRo0XkfhF5RkTW2knxSYNbrMf18F2U1bw1Y/Ur+7jPg39M7LkFNaMJv40Qgs9DIBCYWGptIHaJyIuxnV4ReTvQXukEG4bj68C5mAiw7xSRJbFk5wLH2r/LMb4VYBqfj6nq8cDpwAcTzh13Lrp+JeeteDBarMepi5x1kQujsXhOM4IxbfX9FvoH8zRkjZqoqS7N4rZm+gbzKFAAFrc1U58xj0SBzXt6OLq1kSVtLUWe2pXUSnEv70AgEBgptc50fhC4AVgsIluBPwF/WeWcU4H1qroBQERuAy4AnvbSXAB8z/pYrBKRGSLSpqrt2AZIVbtE5BlgbuzcCaGzLxepiQpaanXU2Zdj7oxGUkKiU1s6JdF+Py+37efm1Ewh7lIgEJgIao3FtEFVXwfMBhar6p+p6sYqp80Fnve2t9h9w0ojIgsxCxYlxn0SkctF5FEReXTnzp3VbuWA8VVIKSkfGkPVTDgf3dpIU30m+gOjVuodzNPdPxiplZyVk5+fAAO5PB8/ZzFL2loqyhVXe5U7HpYnDQQCtVKrFdNVItIC9ABfFZHHROTsaqcl7Isb+VdMIyLTgR8CH1bVxIWdVfUGVV2uqstnz55dRaQDp7khy+I5zcxrbWTxnOZIXeT+P9/Ry5qt+yhAZI3kO7+5kBy5vNLRY0YM2bSweE4zzQ1Z0imhqS7N7Oa6aEGhC697iDVb90V5PN3eWaRGOm/FgzzdPqT26uobLFI1Hega1kFtFQgcmtQ6B/F/bAV9NnAEZo3qf65yzhbgaG97HvBCrWlEJItpHG5W1R/VKOe40NyQZe6Mxkj146yLnOrIVzvF1VBJjnAiUhKfqT4zFEk9SZXlU80hL6xhHQgERkKtDYTr6Z8HfEdVnyC59+/zCHCsiLxIROowZrE/jaX5KfBua810OrBPVdtFRIBvAc+o6r/VKOO449aV7hs0ITKWtLWwpK2lRE0kEKWLF5pvreSc6Jw1lCNJleXSb93bm+iQ53P6ollhDetAIDBsap2kXi0iPwdeBHzShv4uVDpBVXMi8iHgPiANfFtV14rIlfb4dcDdmEZnPUZ99V57+iuBdwFrROT3dt/Vqnp3zXc2xvjrSgMM5vMl3s9g9GX9uULRnvpMirwqM5uyHD69nuc7zNyBW3/aeVa7SLDHzJ7G8x29Jdd36VMC9ZkUs5vrS6LFAixb0MriOc109uXCGtaBQKBmKjYQIpJR1Rzw18DJwAZV7RGRWQxV5mWxFfrdsX3Xeb8VYyEVP+83VB+hTAjO3PSwxmzJhMr6nd2ccvSMiuogsKG9s2ledPh0u6c30aLJWTyZCn+ogejpz7F+Z3eRNdVArsC+3kHmzmiMZPQntpsbsjQ3ZEPjEAgEaqaaimmViPwE46OwR1X3AqjqbutNfUhRTgXkOGb2NKBYHVSXLm3n4nuWtLWw4uJTipzo4vnnC8phjVlmTaujYJ3q4k53cRkDgUDgQKi2JvVywHkxf01EHhGRr4rI2SJSP/biTR6cJZDvENdUZyaSs2kpWu/BxVeqy6S49fIzWNLWTNor6aQK3KmBnDWUryZyob63dPSycXdPpLaaP7MpSi9iGhFfxhASPBAIHAhV5yBUdRNwHXCdtSx6FXAO8EUR2amqbxxjGSeci65fyda9vckqIIGG7JDFkVPvTLMjgGULWq35aop8YWguIkkN1dyQ5ZSjZ0T59PTnaKrPlA3tnSto5HnttuMyBgKBwEip1YoJAFUdBB7HrEd9KofQmhDxGEvlwm37cZl84pZGtcRZcs52uXyyPYDLw8Vziuc4kMuPimNccLILBA5NanWUe0BEWkRkJvAE8B0R+TdV3Tq24k0enINckgrI4a/6Fl8dzjnAOQe7amtLu5XmBnIFtnX2A6YBmNk0dF0XVrxnIB+pnfwRxY6ugRE5xvkcqJNdIBCYutQ6gjjMOsq9FeMHsQx43diJNTlpbshSn0mxdO5hRWs7O/+HuEonrkZya0v7jcvtV5xRsk707VecwcxpdSXXVyo74bk0ftNzoI5xwckuEDh0qdUPIiMibcA7gE+NoTwTzkXXr+Tp9k6WtLVEFbdvNpovKI8/v5fzVjwYqXbcZHB/Ll+UVy5XGFGIiouuX8me7oGS/SmBmdPqoobIhQv3GcwVq6MUuOvJF3i+o5clbS2RPLdfcUaJbPGGCoac7AoanOwCgUONWhuIz2Ec3n6jqo+IyCLgD2Mn1uTEqZCAIie5Z9q7gKEgUtm0cOwR00uc2xxJFXEcp5KaOa2OTEp4YV9fZEbrSDJkje+bP7OJ5oYsS9qyiY1CNYKTXSBw6FJrA9Guqie5DVXdICKTNgTGWOGrkPyKuCQCoZQ6t40Ep5IC2N09QHNDlq17h5dnNae9WghOdoHAoUmtcxD/UeO+gwY/Ymq+oOzvy7Gzqz86Hl/9zd9W1QP2QXDWUPF8fOupWlzN93QPFC02BObell5zX8l+R4jeGggEoHqojTOAVwCzReSj3qEWTHylg57VmzoitZKzElKGvKad6uUzP1nDzv397OwaYDCvbNjVzaLDTRqnUqpW6bp05614MLrmum1dLJ7THKVpbsiSAjKZFLdedjrv+tbD9A7kqbPxnXL5oRGDkLxoUSAQCNRCNRVTHTDdpmv29ncCbx8roSYTcasdxQTGc5ZITvXS3JAtUkEN5gojXg2uWvhuscH5li1oNV7bYry2TVDAEGIjEAiMDhUbCFX9FfArEfmu9ag+6HEhvMX+jlvtZFJCvqBs3dtbEjnVV/9kMykyKYkczIajv08K372vN1ll5Syp8gVNVDn15woIRHK4WE3uGi5ceK6gw5YzEAgc3NQ6SV0vIjcAC/1zVPU1YyHURHDR9StLQng/3d7Fx77/+6J0bm6gZ6CXlFCi/nEhuj97/gl8+idrKChceuMqbn7f6TVZL63e1MHmPT3RdtwKCWDpNfdFaZ0qyv33UYyjHcCWjl7efu1DQ/ttmp6BoUnvt137EEvazMp2bg6mFpkdvgntaDOWeQcCgWRqbSDuwMRjuhEorYkOEjr7ciUKmrg/QtxRLa7+cSG6O3oGShzMaumd+45p8eslpR0OtSifRqoWCwQCBx+1NhA5Vb12TCWZBLQ0ZBCKK9KmunRRI5CSoRYyafU2twbDSB3M/PNSQqLvgX8NR1zubFoYzBc3CU4FVamhaGnIRGooZ0EVeu2BwKFJrQ3Ez0TkA8CPgcjWU1X3jIlU48xF16/k0Y17aKrPcHxbM09bxzeAHV39RZXtYF4jS6ZMSsr2tkfqYObOW7+zm2NmT6t43rIFrUWrzm3c3UPOzkX050oD/C2Y1QTAxt09RfvntNSzp2eQTErYuLunyILqvBUP0tyQLWokfG9zoOh3/Hi5xiXJo7tSQ+Sb5B6ouqkWD/LA5CeoHceeWhuIv7L//97bp8Ci0RVn4mluyBb1xgsKEutyO0umWvIaiYOZi/lUi6rHX3XO/U5qHKC8uiqTTkX345/rVGhB5RQIHJrU1ECo6ovGWpCJxoXWjjumuZXb8t72UYc1sLt7oKiHXKuvw2gQDxTo9rme+zGzp0XrVfsM5PI01ZU+cmeZNZAvYFaBNQi1hSV3dPUN0tmXKxsK/UDIFzSytAoEAuNDTV+yiLw7ab+qfm90xZkYuvoGo9DavhUTmNGCr8tXTJhtf5GgyYYLTf7cjv1FjnM7ugZIyQD1mRS5QgG3zMQmu0pdHHevbuW8SnT1DUaNUiq2iNKB4ltrXXrjKhYdPi2MagKBcaDWrt7Lvd8NwGuBx4CDooEoF2PJJ2172ZAcZtsxWvrQSvr7Ws676PqVpCQ+dW1kVyha4a7SpHXcUsuNUnr6c0VzD519uWjEUql8fFzIDyd3Em41P0eSA2Ituuh4Gj9Cb3zOJOi2J45Q9pOLmmIxqerfeH+XAadgvKwPCmpRo8Sd13zns8lKufvKpGRYqqP4ynT5gpJX6BvMs72zj97BPN39g5GVlAlDXuBPu/aXLR9nKZUvaOR4WC6tr7JKW9kPpOzdtQdyBbbu7Q1rd09RwkqHY8+wlhz16AGOHU1BJorVmzrYFLPqkdhfU106WkluXmsj82c20Z8rTPpV1tIpIYW5h/pMKroHN5mdgmhfCkiXeRv8len8kOeDeTWWU3mlo8f4kLQ2ZVAgXzDnvfObpeXjVqlzq+H1DORrLssCRiU20rL3r+2e4bptXSXragQmN2Glw/Gh1jmInzGkiUgDxwPfHyuhxpNVG3aXqFjmtjayr3eQnn6jWlk69zDAqCXmzmjkzJfM5l/uexao7AQ30mHycM7z08bPW9LWUqRKiZumTmvIFG2bHn2yBZS7z7hjYJz48tlJ5RN3BqyUFopVXPm8Rs9rJCvcJV27VpVYYPKQtNJhCBMz+tQ6B/Gv3u8csElVt4yBPOPO6YtmlTiZOfWLqumx/mnXfg6fXl90zlRcZc2PIeXjVC7x1eh8spkUdz35QlHI8zjl/C/uevIFPvjqYyJdf7neuitLXw9tZBty3tdY+ruefCHy/zhvxYPcfdWZRfMkTfWmEVyzdR+5grK9sy96dr7cTiV23ooH2bi7h5nT6li9qYMv37suksVRzo9iuHMhB6JvTzp3NPT3bk5ozTVvGLf5gPjz7uzLlS17x2T8BkejvCrlMRHzM7XOQfwKWIeJ6NrKUCifKc+yBa0c39ZctG/znh5mTavDVXU7ugZYv7Obo1sbo3MWz2lmXmsjN7/v9EnZc3FrXbv1sp1qaEtHLxt2dfPd954a7XcqF7eedSYtReomAT57/glAcgOQTsERzXUc39YcqawyaYn2xS2O0ilJ9CP57PknFJWlUyPs7DKvWzYtkTrMlT2YOFQDuQLrtnUlqhrcvQ/kCmze08MRzfVFx32V2NPtXUUqrzA/MX7E1UaVyn4qfIMHAzU1ECLyDuB3wIWYdakfFpGDJty3c45zFLQ0BpOznvHPmTujccq8mPFQ5E4141sfORqzadKpoVdDgY6egbLqpXQqxYsOnx41BOmU0JhNF+2LkzSG6OgpLvO4OkjEzJ2IEJV9PDR6ksopniYpsGES8WceGFviaqNqZT/VvsGpSK2T1J8CXq6qf6Wq7wZOBT4zdmKNP42erX9DNsUnzj2+qNHIZlKsuPiUKWd+50YSKy4+BWe45Ibk8f1u9JC3oTvc/pSYIX2S5VNKhlRyt19xBke3NkbWSVBsaeJCqfcM5ErmOoSh2FLunNamuiIZjpk9jYFcgbzC9s4+oNhSS4DWprroOnmF7v5cNJfk0vh+HZVsueIh2x1Ovu2dfUXHarGqiZfHSK1wks4dDaseZzhwy8Obx81KKOl5lyv7ycxolFelPCbCakt8z9myiUTWqOpSbzsFPOHvmwwsX75cH3300WGf5+vGZ06ri2InnbfiQZ7bsZ+ZTVmu/cvlRT2VqWivfd6KByNPZxdf6aLrV7Jm6z6m1afZ1TUQ9eyXtDWzcXcPvQP5qPGM97wF07C6VeuObm0s8uCuz6QYzBdMuBLK+1tk00I2naJ/MB/N+4BpqOe0NJArKC0NGf64s7tIxVUuIGEt082CqYRcDKuegTzpVPEku59/SuCOK1/BZ36ypihWlzs2f2ZTFOOqIZvi5vedznu+8ztgyMdjzdZ9ZUcvfph13yckPr/h3tO+wTwFHboWwIXXPRSVfQqKjBD8vBxx/4+z/uX+ojhdrizdNZYtaK049+EMItZc84ai/f49xO+vq28wKk//eX/grGOicPn+9ePyl5Ml6V59av1ua50TWL2pIyp/twzA3VedOSx5/TziZe47opYrj5EiIqtVdXnSsVpHEPeKyH0i8h4ReQ9wF3D3qEg3iUinpGjI2tyQjVQlB8Mw1g3Jk+cE0kUVa2dfLlqtLm0XFPJxIUj8JU3j6qqcXcwIylfagvG6dvn46QZzBXIFjWSOy5BkeTQcWyQX7yqdEtJCkVoNiieynfoqSe0RV0mWs66qZCk1HFWWX67uWnF13EhssuJq1QOxFquVuOrTPe+kcPmTGb/8k5YBGG4e8Xv2v63xLI+KDYSIHCMir1TVvweuB04CXgqsBG4YB/nGhduvOIM117yhrDdvuXOm0ujBJ67mcCvMubq+IWvUafmCkk6nmDWtrkQltGBWE/XZNIc1Zvnue0+1qqV8kbNcS0O6ogrHcXRrI0e3NpLXUislZ3F1+xVnMHt6zDdzhJapTpV2dGsjt19xRrQqX3w0HY9L1dpUl6hmi8escio8p67ZtLubrXt7y5oQA+zvz0VOh3/atb+s+qpvME8uX4jK1V3LWfVEsmPUa0l5OZwqzjk0xkOqxK/hy5Gk2uobzEfqqaS0/vWcTDlvyOY/b/9+ylkpJX2D5dQw5dSC1ahV5ePLK5Q6l5bLq1we8TL3v63xtNqqNoL4GtAFoKo/UtWPqupHMKOHr42taIGxwA1Vt3T08s4bVvJMe1dk3TN/ZlOiddDG3T0l/g2brFrGz8dZG7U2mY/cOc8lMb3eVEYKPNPeVaK2AWPV5EY7qzd1sCNmYltpVOKssOLVuZNtMK+s29bFLQ9vpmcgXxJzCyjpkV/z06cip0oBZjZlo2N7egaj/Z89/wSe3dYVzcVs6+xnS0dvSRn67O0ZjJwOd3QNsNFzBrzl4c3RMxvMaxQuZUZTNlI1OKueGU1DJswFpSQvVzmt3tTBM+1d0fUuumEl2zuHyvfKMxdxfFuxlVCSc5q/bzBvvOKv/vEa/vnuZ4rS3vLw5qLrOZm22Wu6cnPPeyRWSuWc5/z9SWUx3PySjoFRK81uNp0Y37m0XF7l8kgqc/dtHdFcN65WWxXnIETkKVU9scyxNQfLHMShxNfvXx85+fn6+rRA24xG5s4wvWo/XRKVdP1+3KpytDRkqg7DBZhu9ehb9/aypaO3YnqfukyKvJ3/8CXxZUsLTKuvLsdwmdfaSPu+vlHzzi5XnumUsNxWFM7vI1/lknWZFKccPYPHn98bLUdbLl19JhWNqh/duKeoLN37sqOrPzGf+kyqaL7oVccezq//sKuibP7z9u+pqT6T6Jfh5jTAzPP4Dqz+vSa9O2mBj559HB989TEARTHBXJ6HNWaLznP5Pd3eyf7Y6pPzWs23E7+Wew/bZjQW7Z9nTeb9ff79u3v8s//3y8T8nH9PtXVXauFA5iAaKhxrHLFEgQmjaBiblqJhq+9AF1dZxPHPLUWrqpZmTqurmL/JxahJNu3uLhpi10L5jo8W3XMtkWqHg7PqqsX4o1YKZRsajdQmzmqrGrl8gU27uyuqu8A4DvYN5unqG6SrbzBR/WfCxCfn478fApzQ1lL1+cXVYv3WYq2cVZVvFfenXfuLrKDcvf5p1/4iNZYjnZIiNY2vDnR5+vHF/Pz6BvNFZeFUSl19g7Q0ZIpUTfmCuYe9PQNF5ZHLF4ocQN399wzki/w/kmLAOes8J2ulmGcHSrUG4hERuSy+U0T+Glg9JhIFxhR/6H7r5WcUqRHuvurMqCfip1s4qylyfFs4qyk6161QFydfqKz++dJblvLA3786GpJXqjgKCts6+4uG2D98/ytY0tYcOfS5fXNahhzgBvPKZa9ahHiZC0NWSkc01/HZ808oUVuBmZ8YKZe/ahGbdvckhhJxJDWMM5qyRfL7lMsqXyBSm+RqaR0YKk+/zpxeXzpXlC+YMnxux/5E9d97zljIpgTVo4tftr9/qBJV4LsrN3JkmfuLy+dUUG5k4tRWz7Qnq6yck+M1P1tb5ATp8trWWfqM/dK65eHNRepAl2dcReryi6siwezfsKubL7x5KfNnNkXXcOUTLw//nfbJF5Q/7NgfqaA27xlSaV7+qkXRqMw9R6eyS4p5NhpUC7XxYeDHInIpQw3Cckwk17dUy1xEzgFWYOI33aiq/xw7Lvb4eZgAgO9R1cdqOTcwcvyV7iqteueOAezuHuBFh0+Pji1b0Dqi+EXKkENcc0OWzr7y8xRJ59Zl0pHcjXbNCWdlFjchvXfttkTLHpePbynjk6+xsk1ibXtn1fvJpFMMWs91x/T60V9kqVZSImVlLtfwlLvPVBl12KDtoR8IvlXVPU+1l1x/ONfI5TWK33TPU+2jJteqDbsPOK7XoJUNKLICXOstu1tyzhjFo6r4VqrqduAVIvJqwM1F3KWqv6yWsYikga8Drwe2YEYjP1XVp71k52Kiwh4LnAZcC5xW47mBEVIpwF+5dEmsuPiUItt7nzrrQ6AYfa/TXzdkU7Q21fH1+9fz8XMWAxTZfn/2/BP41I/XJFY+zroK4OPnLGbVht2cvmhWNJl32qJZ/OLp7VH6c06Yww2/3kBBi+XJpIQPnGV0z24uxT+e9X4Ph3RKmDWtchT8ukyKWy8r9ltoyKY4f2kbKzfsZmtH70iNs4rIpKWmUUUmLSye08zvNnYknpc01yTAroSRVzol/MVJbfzk9y+UnFtQ4/3etc0syJViyN/F/10LBYVntpVWlgo0N2ZrnlO65XebufOJF9i5v3x8seGgCr96doeZMzuA55gS+PFjW4pGKmlJLvPonJTQ2jT6KzDUuuTo/cD9w8z7VGC9qm4AEJHbgAsAv5K/APieGoXtKhGZISJtwMIazg1MME4N1dmXI2N9Jdz/FRefwse+//ui1eqOaK7jw687js/fuZaBXIG6jHH4cXk4B8WbVm2MVsNLCRzRXE8mnYqOr97UwaU3rory+Oz5J0R5gvnAvvjmpVxy2nwe/MPOKG8nT0GVa376FNieswDXvOlEblq1MUr7mZ+sKbqv7Z19DFp5Dp9eR0fPIAWF2dPr2LnfqGwKBY0qR8eclnp2dQ+gqsyaVlfkcOnu+/ylbVz34Iaq5e2unRJhe2d/cg/eprn2L5fzmZ+s4bkd+yl4fhNxVDVqHHyZnVom6TQFntlWqnaK379WOKcQO+aoxdFRgV0J6hmArRUMGZxqz3VWtnb0srXKtYZDAUrKcrjUpYWBvLJ+Z3fR/rwml3l07YLy+TvXctyc5lEdRYzluHYu8Ly3vQUzSqiWZm6N5wIgIpcDlwPMnz//wCQODJu4t6jPhcuP5is/f5aCmh7QX73iRXT0DDCQM9ZFblgcz6NSnmAcivw87nmqPdp21imXnDa/JC9fHtM7M1VRSozay09bTQafr9+/PsrXR4B3nbEwspSJ467xrm89nHjczQu4UZizunHXi8+DC/AxzzLH5V9OPigNz57PK8ce2cyOrv6S9AtnNZVdnrZWD/Yk/PsD+Nf7nh2VUZSPKxugonXeRJIWOGpGY5E3e60oY6NmGumCQbWQNNOXNFpNSlPLuWan6g2qulxVl8+ePXuYIgbGktMXzaIukyItxQ5d8X0Hmu+5J7bVlGfReWkhe4ByxPONf0y15nvuiW3F56WloozDvV659Jm0lEzI++UZ/wjPOWEO2YQJ/IyVs5bKJJ0qNQJIxd4P/xpJMlbLLwk//4RAwon5VqKaXMPJC4bK4JwT5lRNm3Tt1Ci8x0nUFItpRBmLnAFco6pvsNufBFDV/+uluR54QFVvtdvPAmdhVEwVz00i+EFMPlZv6iiaKyi370DzrTVPPx1wwHLE821tquOpF/YhwFtfNq/mfG95eDP3PNXOuSe2cdyc5qoyDvd65dID/PCxLezq6md2c32Uh0vf1TvI2vZOzj2xjUtOm8/qTR1ReiA6x8np8vePN9dnWLlhN0e2NHDFn784uqYAJxx1GB09AyXvhzselxGMyeie7gEWzZ5elN/67cY58YxFs2huzJYtm9WbOrjuV3/kTzv3k02beGGLZk/nrOOOKEr/7LYu7nmqnRPaWhLzi8vlmN1czwlHHVY2r87+XFH5xMvgloc3c/sjmyMV6hmLZkXn+OVdqQyHQyU/iLFsIDLAc8Brga3AI8AlqrrWS/NG4EMYK6bTgH9X1VNrOTeJ0EAEAoHA8KjUQIzZHISq5kTkQ8B9GFPVb6vqWhG50h6/DhOy4zxgPcbM9b2Vzq12zdWrV+8SkU1jckMHxuFAZTfSyUuQfWKYqrJPVbnh0JV9QbkDYzaCCAwhIo+Wa6EnO0H2iWGqyj5V5YYgexJjOUkdCAQCgSlMaCACgUAgkEhoIMaHqbx2RpB9Ypiqsk9VuSHIXkKYgwgEAoFAImEEEQgEAoFEQgMRCAQCgURCAzGGiMi3RWSHiDw10bIMFxE5WkTuF5FnRGStiFw10TLVgog0iMjvROQJK/fnJlqm4SIiaRF5XETunGhZhoOIbBSRNSLyexGZUh6rNlDoD0RknX3nJ/2C8yJynC1r99cpIh8e1WuEOYixQ0TOBPZjItYmLt06WbFRddtU9TERacasB/LmyR5y3a4xMk1V94tIFvgNcJWqrppg0WpGRD6KWXelRVXPn2h5akVENgLLVXXKOZuJyH8Bv1bVG0WkDmhS1b0TLFbN2CUStgKnqeqoOQuHEcQYoqoPAnsmWo6RoKrtbvEmVe0CnsFE2Z3UqGG/3czavynTCxKRecAbgRsnWpZDBRFpAc4EvgWgqgNTqXGwvBb442g2DhAaiEANiMhC4BQgOS71JMOqaH4P7AB+oapTQm7L14CPM7w1dCYLCvxcRFbbMPxThUXATuA7VrV3o4hMm2ihhsnFwK2jnWloIAIVEZHpwA+BD6tq+TUPJxGqmlfVk4F5wKkiMiXUeyJyPrBDVafqeu+vVNWXYVaK/KBVsU4FMsDLgGtV9RSgG/jExIpUO1Yl9ibgjtHOOzQQgbJYHf4PgZtV9UcTLc9wsWqCB4BzJlaSmnkl8Cary78NeI2I3DSxItWOqr5g/+8AfoxZVXIqsAXY4o00f4BpMKYK5wKP2SWiR5XQQAQSsZO93wKeUdV/m2h5akVEZovIDPu7EXgdsG5ChaoRVf2kqs5T1YUYlcEvVfUvJ1ismhCRadaYAaueORuYEtZ7qroNeF5EjrO7XsvUWt74nYyBegnGdsnRQx4RuRWzANLhIrIF+EdV/dbESlUzrwTeBayx+nyAq1X17okTqSbagP+yVh0p4PuqOqXMRacoRwI/Nv0KMsAtqnrvxIo0LP4GuNmqazZglx6Y7IhIE/B64IoxyT+YuQYCgUAgiaBiCgQCgUAioYEIBAKBQCKhgQgEAoFAIqGBCAQCgUAioYGYIETkuyLyxYmWoxwicrWIVA33ICJHisiDItIlIl8ZD9kCgfH8fkTkLSLyvIjsF5FTbBDIs8bj2hNNaCAmOSLygIi8bwTn/VxEzh7pdVX1S6pay3UvB3ZhAst9zF77IyKyTUT22Yi29QnyHSsifXFHMBF5n4istx/jvSJylHfswyKywUatfEFEvioiGe/4ySLya3vdLSLy2Vje+Vj0y0/Y/ZeIyCYR6RaRn4jITO+censPnfaePhrL82QbWqLH/j/ZO3aNiKiIXOjty9h9C+22iMj/E5FBEdkjIteJF/1XRBaKiarbIybS6Ou8Y5+wcu21sn1TTFTS7SLSJiL/KiKvqf4ID+w+Y+l+ae/Pfy43iUi7zfu5kbzPo4mIXCwiz9r3ZIeI/JeYeEzl+FfgQ6o6XVUfV9UTVPUBm9c18Xf4YCI0EAchYhyVlgG/GofLLQCeVmsvLSJvwIQpeC2wEBPnJink9teBR/wdIvLnwJeAC4CZwJ8odgD6GfAyVW0BTgReCvytd/wW4EF77p8D7xeRN3nHe1X1ZO/vn0XkBOB6jM/HkUAP8A3vnGuAY+19vhr4uIicY+WtA/4buAloBf4L+G+737EH+LwYv4wkLgcuBb4LLMWUW6t3/FbgcWAW8CngByIy2x57HugHTgeOx4QWuRl4SlXbgf+gSsgI20ClRuE+EZFLSfat+r/AQvvc3gR8UUSWVZJrjPktJizIYZj3MwNUGo0sANaOh2CTDlUNf+Pwhwl29xjQBdyOCaXwRcwHdycmWFiH/T3PnvNPQB7ow4QN/0+7fwWmcujEhOF+VexabwJ+an+fCqwE9gLtwH8CdV7aE4BfYCqy7RhnODAVxk32dwOmctht83kEU5l+FxgEBqx8r8NU0l/y8n8tsC0m38XA9/1r2P3/Cnzd2z4KEwDuxQnlOQv4H+Ab3r4eYIm3fQfwSW97f0I+X7Kyf84+n2ft/TQD0zBxeZ7FVNIXAF/ABC28A1iFqaCb7P08adOvw4Tr/m9MFNwngL8CLgO+au9pob3+Qza/s+z2x4Ee+/s1mKB9fw68GLgX8/78AVhs0/wb8A/291sx79D7vPtbDcyJ3fMDmHfrt0AvcAwmVPTZXpovALfZ32fb4+Id3wyc420fBjyHaawUyJT5Do7DvIfvqPK9nIUJgXE1ZoS6EbjUO/5dTCfjLlsmD/vvCVW+ES/ddOB7wN0Jx+rtu6H2uf7R7t+IedfPse/KoE33hD3+HoyzXRemk3NppXudzH8TLsCh8AfUAZuAj2DCT7/dvlRfxFR0b7OVTDOm4vmJd+4D/gdv9/2lPS8DfAzYBjR4x68DrrC/l9mPNoPp0T+DCbyHvV67zaPBbp9mj13DUANxBab33gSkbZ4t9th3gS96134CuMjbPtx+YLPsdoutSI6mtIH4CsUV/lx77gXevkvsR6+YRvWl3rEvAf9sy/g4TAXzcu94Hvi993cRphLfA/yNTfMB+2yWYSpfxTSGM6zcl2Iqni2YHv09wN8B19vzf2WvsxxTCXcBb8FUGCuBkyluIPbZZ9Bst//Cnn+cPWeD3f+/mB7+f2Iao1/a/S8HHre//wPTmWj17vmbwNti788DmAr+BMx7Mdvdp5fm7cAa+/sjwD2xPO4EPuZtf92mW0hCA4EZlfXYY48B06t8M2cBOfsM6jGNZDdwnPfe7cF0gDKYkdNtw/hG/syWvav8z64giwLHeNsbgdfFvxO7PQ3zfjo524ATJroOGulfUDGND6djKq2vqeqgqv4Aq15R1d2q+kNV7VGz7sI/YT6GsqjqTfa8nKp+BfMBHeclORe426ZdraqrbNqNGHWKy/98TO/+K6rap6pdmhwaexDzsR2jJlLqai0f2XU65sNzuN/N9v8XgG+p6vMJ594NvENEThITR+mzmI+zybv3W9SoKl6CaQj9AGV3Yiq2Xkwv/luq6qux4iqm2628CrhghKsxFXQzZvQD8HNMpdqAKetGzKgrZe/vzzAjQjANxw77exBTMYFpKNoojU80HdPYdnnpUpiG6wZgh5iIuq/AdB7ejum9ttnyeASYLiLvxYSH+K2qdnj578CMxOJ8V1XXqmrO3heUPjf3zOLPtOi4iCzHhGb5j4TrYOX8gE3/KkxZ95dLG+Mzqtqvqr/CjBbe4R37kar+zt7DzZjG112v4jeiqr9Ro2KaB/wLptIfLQrAiSLSqGZdlSmrngoNxPhwFLBVbZfCsglMLBURud5OknZidOgzKuisEZGPiVkWcZ+I7MUM7w+3x5YCna4CFpGXiMidduKxE9PLPtxmdTTwxxrk//+A+4DbxEwOf1lMpNck9mNGCQ73u8tObL4Oo2YpQVX/F/hHTATZTZiPtgtT6cbT/gGjF/6Gvc+ZGBXM5zEV3tHAG0TkA1XubT8gDFVYeUyvs4uhhYZebxuU+ZiKsRfT63T3KrH7zXvb6zEqh3WY59RAMfuBvJ0HgKEG63lgvs0vBexVE8L8Dkx03eO9PH6NGVk8QulCQw1W3jh+A+0WWIo/ty7veHwStwXzTFOYZ3CVrajLYjsXv8FUyu+vlNbSoard3vYmihu7bd7vHkzZAZW/kZhMWzHvzW3xYyPBynsRcCXQLiJ3icji0ch7IggNxPjQDswVEb8imW//fwzTsznN9oxdDH2XtihYloi8CvgHTE+qVVVnYCotl/48TE/LcS2mcjrW5n+1l/Z5jG67InbU8zlVXYLpyZ4PvLtM8rWYyWPHS4HtqrobozZYCGwWkW0Y1czbROQx71pfV9VjVfUITEORoXxU0Iwn/yIgr6rfs73GLZiP/rwqt7cWowJ0zMV8F89hRjQ97n5E5BT7+wXv3JMwy5q6nu0yYI6X325MY/UKmz7eYK3F6NgX2e3jMWqiN2PUJ8dg3oE/WWuolwJrRcSX6QLMO3AC8NNY/i8hufyi98qOONopfW6u57sWOCn2/p5k97dg1Gm322fqRmxb7LuahP/cKtEqxQv3zGeo7MtSwzcyUnmS0JIdqvep6usxo7x1GDXflCQ0EOPDSow+9W/FmDm+laFY+c2YHt5e2wv+x9i52xmqPFz6HEb/nhFjyun37t6IVS956TuB/bYn4/fc7gTmiDEfrReRZhE5LS68iLxaRJbaUU0nRnWSj6ezfA/4axFZIiKtwKcx+mIwKpMXY1QBJ2NURHcBb7DXaRCRE61lzXybfoVTmYgxgT3C/l4CfBKjmwdToYsYk9WUiMzB9OSe8GRrlGIz13/GqCaagNNtZXQFsMuqfL5g8/2xiDyN0YdfhmkQwKidXDkcKSJbMc/iSYpVMt/HTAj/A2YSOl5ezcCbxZj0XsZQz/l1mEnQ72HUR5/EqHI+AlwgZiGkezGNzk7MvETU47ajvGOAR6nO94BPi0irfU8uY+i5ufv8W/uefMju/6W9z6MYeqauQV4GPCwiR4gxK50uZqW/N2DCU/+yBpkAPicidbbSP5/aFsWp+I2IyKUiMt++Zwswat3/Tc6qKtuBhW4EKMYv6E32XerHjhBHmPfEM9GTIIfKH6aX9ThDVky3Yyapj8J8gPsxldEVeJN8wBl2fwfw75hJ4m9hKup2TIWzEVOZHIb9KLzrnonpxezHqCI+D/zGO34i5uPowAzZP2H3X8PQJPU7MZY83ZgP4t89+b6LN0lt933UpusEvgPUlymT6Bp2ewZDlkDbMOaRae/4d2y+3fae/4XiicfXYHqw++z538QsPl/t2VyCmbTtxuj+Z3rH6oFv23vZDnw0du4pmHmLXszk619Y2erc/WEa4tfa9HdTPEktmAneQcyk65cpthZaaN+PXvsMXhcrj4J9tu5vrXf8LcAXEu73AUoNH4Z7n6eUKcuFFL+/szET93tt3muAy2p4JmcxZAiwyz6fd3nHv0uxccRZmEV/oMI3Yo//k8272/6/AWtEYY/fg7Xms9uVJqlnYToMHbZc2uz97rP3/ACeZd1U+wvhvg8iROQdwNtV9R1VEwdGDTEL5dyPMUQQjNnpPWIWLvodxvzxwgpZuGd3r47isq5WJfULNSvrTSnEeCrfpKrzJliUQ5rQQBxEiPGc7lLVlRMtSyBwIIQGYnIQ5iAOIlT156FxKEVM+Ir9CX/XTbRsY0WZ+91fYeJ43BET7ytJxnsmWraAIYwgAoFAIJBIGEEEAoFAIJGkwFpTlsMPP1wXLlw40WIEAoHAlGH16tW7VHV20rGDqoFYuHAhjz5ai8l3IBAIBABEZFO5Y0HFFAgEAoFEQgMRCAQCgURCA1GBi65fyUXXB6vRQCBwaBIaiEAgEAgkEhqIQCAQCCQSGohAIBAIJBIaiEAgEAgkEhqIQCAQCCRSsYEQkb8TkaPHS5hAIBAITB6qjSDmAg+JyIMi8n4RKVnTNRAIBAIHJxUbCFX9CGYd2M9g1qB9UkTuEZF320VSAoFAIHCQUnUOQg2/UtX3YxZf/xpmTdztYyxbIBAIBCaQmoP1ichS4GLMQvC7gavHSqhAIBAITDwVGwgRORbTKLwTyAO3AWer6oZxkG3C6eobpLMvx+pNHSxb0DrR4gQCgcC4Uk3FdB/QAFykqktV9Z8OlcZh9aYO1m3rYktHL5feuIrVmzomWqRAIBAYV6pNUi9S1U+p6hoRWSAirwMQkcZaJqlF5BwReVZE1ovIJxKOi4j8uz3+pIi8LHY8LSKPi8idw72xA2XVht0U7Gqsg7kCqzbsHm8RAoFAYEKpyVFORC4DfgBcb3fNA35S5Zw08HXgXGAJ8E4RWRJLdi5wrP27HLg2dvwq4JlaZBxtTl80i5SY39lMitMXzZoIMQKBQGDCqNWT+oPAK4FOAFX9A3BElXNOBdar6gZVHcDMX1wQS3MB8D1rKbUKmCEibQAiMg94I3BjjTKOKssWtLJ4TjN1mRSLDp8W5iACgcAhR60NRL+t5AEQkQygVc6ZCzzvbW+x+2pN8zXg40Ch0kVE5HIReVREHt25c2cVkYZHc0OW+kyK5obsqOYbCAQCU4FaG4hficjVQKOIvB64A/hZlXMkYV+8UUlMIyLnAztUdXU1wVT1BlVdrqrLZ89OXHc7EAgEAiOg1gbiE8BOYA1wBXC3qn6qyjlbMI51jnnACzWmeSXwJhHZiFFNvUZEbqpR1sAYElbZCwQOHWptIK5R1W+q6oWq+nbg2yJyc5VzHgGOFZEXiUgdxp/ip7E0PwXeba2ZTgf2qWq7qn5SVeep6kJ73i9V9S9rv61AIBAIHCi1NhDzReSTALay/xHwh0onqGoO+BDGl+IZ4PuqulZErhSRK22yu4ENwHrgm8AHhn8LgYkgjCQCgYOfWkNtvBe42TYSrwbuUdWvVjtJVe/GNAL+vuu834qxkKqUxwPAAzXKGQgEAoFRolqoDd9xbQXGD+K3mEnrl6nqY2MpXCAQCAQmjmojiK/EtjswTm9fwVgkvWYshJoonMrk9ivOmGBJhsdEyf10eycXXb9yypVXIBCojWoNxKeAlVYVdEiSLyhb9/aGgH2BQOCQo9ok9buB1SJym4i8R0TmjIdQ4018wtVtf/ycxfQN5kcUsC9M4gYCgalOxRGEql4JICKLMXGTvisihwH3A/cCv1XV/JhLOUEkBewLo4hAIHCoUJOZq6quU9Wvquo5mHmH3wAXAg+PpXATTQjYV0pX3yBb9/bS1Tc40aIEAoExptZorqe78N6q2gv8GrhJVZePpXATzZfvXUdDNs281kZuft/pwx49uEncakwVddTqTR083W7WyFi3rYu8HV5NFfkDgcDwqNVR7lpgv7fdTWlo7oOSdEqYO6MxqJagaE2MgkJ/rhBGEoHAQUytjnLiWzKpasFGdA14lDM3jfeu3fGp1uuOq9jyBWXdti4Wz2kOEW8DgYOQWkcQG0Tkb0Uka/+uwoTIOKiYqvp1J/dYL4u6bEErTXVp0qmhILwFhZ37+8f0uoFAYGKotYG4EngFsBUTgfU0zApwBw1dfYPRGtTrtnVNmUZivNfOTqeE+kzxa7Ora2DKlFcgEKidWq2Ydqjqxap6hKoeqaqXqOqOsRZuvOjqG+TZ7fsjk9aCwpaOoZFEucnmi65fydJr7ks81tU3OC46+lrXzh7NieR0Ssimh0YRCnT25UYl70AgMHmo1YrpJSLyvyLylN0+SUQ+PbaijQ+uB+4schydfbnE/cPJcyBXGPPRyESZ4mbTQ69OSqClIUxJBQIHG7WqmL4JfBIYBFDVJzHrNEx5/B44UKQ+KSjkRtBA+HkWdPi96+H09kdiijuc/MulTaeEFFCXSdGQTYdJ6kDgIKTWBqJJVX8X23dQ6BT8HjhA22EN0bYAqjrsUYTfixcgk0paWXWIA51kHk9T3HxB6c8VyBcUkaEGdTwmyQOBwPhSawOxS0RejF1TWkTeDrSPmVTjyLIFrSye04xgCuPIlgYWz2lmdnMdAIN5pWcgPyw10bIFrVHFqcDmPT1lz/cnx8djkvlAWL2pg56BPAO5Aj0DeVRNg9EzMLJ4VYFAYHJTq+L4g8ANwGIR2Qr8CTholgBtbsgWjSKe7+ilP1fAHzfUoibq6huksy/H6k0dRee6Se+Z0/LkCsrqTR18+d51rNm6j0xKappk9hlpeO/heHb7+bvzznzJ7KJ0BWAwX4i2B3MFrrrtcebOaCwr21QNqR6YGkzG92syylQrNTUQqroBeJ2ITANSqto1tmJNPJmUkBNTudcyCesmpgsKl964irhSqbMvFzUyl964ijktDfQMFMc5dJPMDz63czRvZdRImgAfzA81hdlMKkxWBwIHETV9zdYx7jtAF/BNu9LcJ1T152Mp3HiiatRBa7buo38wT1N9hsVzmunsy7Gzq5/1O7s5b8WDRZOxXX2D9A7meWxzB++/6dGikUA6nSIFTG/IlIw+BnMF9nQPFO1racjwnfeeGs0j+IvxJPVAqo0G4uf4ZrfPd/SOqIyWLWhlSVszz27fXzQvk0kLc1oaWHHxKXz53nUjyjsQCAwxWUYdtc5B/B9V7QTOBo7ArFH9z2Mm1TjT1TdIAdNAON06GNVTS0OG/lyhxGS1q2+QZ9q7yOWVwbyyo2sgGjVkMykyKUEE5rU2Ep+jzmZSzJxWF22nbLqxmmSOm92OxHTX0dyQLXGUq0unQryqQOAgpNYGwlVx5wHfUdUnvH1TnngPv9zcg2+y2tmXI17NHt5cF5mbuvQAi+c0M6+1kYWzmqLjR7Y00FRnzFPjsYyG42RXS9q42e1AvkB/rlDThHJS/umU0FSXpi6Toj6TIlfQ4EkdCByE1NpArBaRn2MaiPts6O9ClXOmDElmqD39OZ5u7yzSqftzES0NmZIWsrs/T/veXt71rYfNSARYt81M18yd0ciRLQ1FPW1nnuo3DueteJCn24d6+0mV+NPtnfT05yILqEppodiUV4BcXhnIFbjwuoc4b8WDZcslPvLw80+nhExKikZXwYIpMJUIYeqrU7GB8CK2/jXwCeDlqtoD1GHUTAcFlZzhmhuyUW/Z7+k3N2Q5vq2ZTNqEnfCD2Pn5DddRLj5iqWTV1NmXi0YGQvm0zpS3LpOKzHdrkS0+8ojn76vJqskaCASmHtUmqVeJyBbM8qL3qupeAFXdDRw0tUF8lKBqKjynq0+nhP7BPM939LKkzTQQrhcP0FhfXIyZlOBPQe/pHmBf75AK5qLrV0aqmzVb95FOCUvaWkpkAbjryReiRsn1dvIFpaDFIx+1aT/46mOKznfnNDdkyaSkSC3mRkRJE9qdfTnuePT5orxam+qi6+cKWjLyuuvJFwAiU9+kOQnfFPhQm7M4kInHyTJpOdmZjO/XZJSpViqOIOyKcVfZza+JyCMi8lUROVtE6qtlLiLniMizIrJeRD6RcFxE5N/t8SetdRQicrSI3C8iz4jIWmtFNWbcfdWZ0Shh/swmlKEJ65Ho1k2Fb3rs8fDYQJFqqGcgXzRp7I9YmupKQ1h09Q1G6qvNe3qoz6RKRjdJuPN2dpmmK5uWxHP86LCb9/QUBeX7/J1r2d7ZFznLuesL0FSXBqjo9DfekWcDhxaT8f2ajDINh6pzEKq6SVWvU9U3Y0J+/wx4HfBrEbmr3Hkikga+DpwLLAHeKSJLYsnOBY61f5cztEpdDviYqh4PnA58MOHcUcWFse4ZKFa5dPbloh77QK7A1r29bO/sM450tl73w084nLVPvHFwefparbiKy+n33eSvv05FXAWVV6U+k0psSPy1LeKqpHJatbhayU8XN88tWNPglBiZ/ftKcvqrNfJsIDASJuP7NVKZxmuNl2oMy6tJVQdF5HFgl6p+XETmVkh+KrDeOtkhIrcBFwBPe2kuAL5nV6tbJSIzRKRNVduxoTxUtUtEngHmxs4ddfIFjXrYYPT6HzjrGK7+8RrALLG5JeZDIErk8DaAaXHdBPeStpZIFdXkqaHiPhDHzJ5WpDpw4SsAnmk3k9yuno6bmObySj5dXNv7TntgevcLZzWV3GvSanBuQts5CGZSEjV8ipl32N+fKzpen8mwpK2Frr7B6NykyLJ+3u54raqTyaBimQgZDpVJ1HjZjqSsk96vatcZa2qRKY7//V543UPcceUrJkw1VWu47wdEpEVEZgJPAN8RkX9T1a0VTpsL+ErsLXbfsNKIyELgFODhMrJdLiKPisijO3cemAdyrqBFOvqmujRrX9hX8Zx4R7wA5O1ooxy+mWhcjeTmJvz8/WuoPT8ut088Qm2uoJHqyp/jiK97AUMT2s78ti6TiqK2Lp7THMWqctu+LM0N2ejcpMiyft61Rp4NBGpluO/XePTSR/LOVzMOGU9qNXM9zDrKvRXjB7EMo2aqRJKfRLw+rZhGRKYDPwQ+bK9fmlj1BlVdrqrLZ8+enZSkZjIpKXJq6x7Il0zUxinnDNKfK7C9sw+ApnrTw3YT0T39OdIp4ZSjZ7B07mHROUlrU0jsGgIljm7xyeJ4hFp3PG3VVj5u3YuuvsHI7K+5Icu+3iGPaxHI5wvRdnNDllOOnsHdV51Zct/NDdlEpzk/74lyqqu0wNNU4On2zkT5R2quORph38eScvdbSabmhizte3t5z3fiwaeL8z1vxYOjPjdQroyG+877329KkkPcjBe1NhAZEWkD3gHcWeM5W4Cjve15wAu1phGRLKZxuFlVf1TjNQ+IdEpKesX5gpLxJmqz6dIlN5PmGcCoktz8xPbOPrbu7WUgVyiykPJ7MfGef0pgdnMdC6yDnXNKi5MraJS/s5RwvZa4I5tbx8EnaSTh7r3fyuvLnJTGXT84zJXnQHqsbmR5IF7wgSGqzZdNJL5Z+uI5zRM60q61gfgccB9mTuEREVkE/KHKOY8Ax4rIi0SkDrPA0E9jaX4KvNtaM50O7FPVdhER4FvAM6r6bzXfzQHgevjxUBLZTIp5MxqjbT84HZjhTrmPtqkuHVn8bNzdwxYvSmzPQJ7tnX1FvZjWprqinn9BYUfXAJv39EROaUnX8vN3vaF4mJANu7o5utXch0jpg/dHEjA0DzJg5U2y6vLDf7vrT6X1vMeTA7FmiVu9hfI9cFoaMhOyEmOtuHpoohfiqnWSul1VT3IbqrpBRCpW3KqaE5EPYRqWNPBtVV0rIlfa49cBd2O8s9cDPQw5370SeBewRkR+b/ddrap31yjvAeHmCGZOq2PFxadw1W2PFx0v51hXl0mhamIz1WdSZNKV29893QNFvZiOngEWz2lm/c7uKB8wDUVSgL1sWkoarL5BE3J7X2/xXMZgrlBkySQCTdk0GWt95K6zfmc39ZkUvbFIs47Ovlz00ib1upzz3Wja/F90/cpo0r9avsO9rssbTCehXHDE4cibRJI1S5IaLimfuNVbOefG0S6bcozFRK97BuOFmy/r7Mux4uJTxr2X7pfheD23kVDrCOI/atxXhKreraovUdUXq+o/2X3X2cYBNXzQHl+qqo/a/b9RVVHVk1T1ZPs3po3D7VecUfQA/FXa4s5rcY2SP0+QtVFcZzfX84Gzip3W4jTVpUt6MU6/f+wR04uuF59nSAEpSVZtOXn9c9LpoVDcTfUZmuozpFNSEkzQnVNubmUgN9SDjc91OFmHE/K7VrVLvqATrsI6EBXRSNcON6qlfNHzOBhDqjtVpSvbsVKp+bHFJnI+rBYmwztf8U0TkTMwvg+zReSj3qEWzKjgkMBZAPUO5KnLpIp65jOassxozLJxdw8DuULkQb2lo5drfvpUUT7O6cz1+nd09TN/ZhO5gpb0Ytw1Z06ro6Uhw8bdPUV5KURyCHBkSz17egbJpMT28GMjDk3+0FxPav3ObnK5QjSfIgIphYx1hHPX2tE1wK79A5Fu1A+JrhiT3VqHxfE1NMpZeTgnv56BXlJigh+ON7XKWg6/rGrtsfrXFMz7k01PvNphtHGqSjBl+9nzT4juewBGrYL0yzPJxHsyMRneeaiuYqoDptt0voSdwNvHSqiJxlkb+aRTUlRROqbXZ8qqnOLqHxFBvYq6oEZdVa4X40YxUKrWSsX8EzLpVDR34nwv0p6KK19Q3njSUdz15Aus39lt1tuGaH2IvF0Zbn9fjsa6NPVZ0yBmUsLSuYfx2OaO6H4EeONJRwGmgXFWTz39Q+onpxJydPUNsn5nN8fMnhZZP/lql77BYrWLvx5GuYi6w8Wt3/GnXfuHHfYgLmullfPilixOjWBCtbSwbEHrsNVSbh5oIF8okd85ULY0ZEoqvErXcee5dU4q3YsfLqIWfLVgNdWIr6oczBW456n2IpXaum1dnLfiwRKrOfdO+cduv+IMjvv0PfQM5Lnl4c1cctr8ouv45qM79/cXlVelsipnSeWriMqF1Kh0/345+fvW7+yOtuPv/HDUUwdKtVAbv1LVzwGnq+rnvL9/U9Vqk9QHFfmCJoavbWnIlB3y+2EqwFSsfqMh1K4uiKuY/O1yah0/TTaTorWpLprs9KOw5gtq4k8xNBntwnm4yXRf7nR6eJN65aLC1mrOVy6i7nBYvakjWr9jR9cA7/zm8CaK47KOh5onrsLL5bVEfn/yezgGAsM5L75u+mirPPznns2kOPfEtiKVWkGNw6j/vMq9U7c8vDlSTV394zXc8vDmouv4+e7qGhi1exntteVr+b7Hg1qvWi8iNwAL/XNU9TVjIdREEvfkdPv+7P/9kp6BIbWNC83hel5LPntvFMCubyDPUa2NrLj4FN71rYfJFdSE2Y6NAg5vrivpwfi9rqXX3MfT7Z2sueYNURhwARrr0iyde1hRr7y5IUu+0MNAvoBgRhTuutlMipvfd3qJGS0MjWIqaXp3dvUXbb992byS3rcLR+KCD3b35Xj8+b2ct+LBoklW5/jjVp5z6q1jZk+L8lyzdR+9MWudTFqY2ZSlqS5TUzDA81Y8GE3sL2lr4cyXzC66RzdR7EYVqhr1zON5uN5dQzYdPWM/cGO85+hPevvPtRrxfJxaKm604OS/6rbH2dHVX1S2Wzp6K5aN63G/8aSjis5bv7O77AqGcZPQnfv7q448kijX8122oDUyx57T0sB//34rs5vr2OFFNVCIRphLr7kvMr928rtj9zzVXnTNe55q55LT5kfX8/NVhnrmS6+5L4p4sPSa+4oMFuLP0+H8NAAOa8yWGCF8+d51ZUdRa7buI1dQjpk9jXxBefz5vSz57L2RX9TSuYdF30E2nSp6H+ORGcaSWiep7wAeBz4N/L33d8gQb8HjcZZcg5G2K8k5tZG/bkJ8wm329KrxDoGh3hIUexr6pnBOZ+lWuHMjBMX0RpYtaC07qSyUejD6dHsWTSmBt71sXtFxP4CgM3stQNS7izsg+j3GuDmf00crRrVwy8ObWbfN9Px3dg2wKWbOm1ROrlfsl3e89+hGVG5UkS+Y+ZWLbljJM+3JefjPOOmaB9JzLJePK59szCLOrf8dH1l29uUqlo17Jr5JdZIRhI9vEppOCbu6BkbVpHn1po7o+9i8p4euvkEOj30bQvF7479T/ujz3BPbis6Lb/v5jmbPfDhms755+DPtXdHvuAmzr9ZOeh/Hg1obiJyqXquqv1PV1e5vTCWbYOJWTW7S2K3/EMf5Uay55g0sXziz6FjSHEV9xvQK4h9YUm8j3vPPpISPn7O4KE0lvby7vu9A51a3u+PKV1AoM4Htk0lLWced+LUH8kPKODdCcZNsSWXnrDWcs6B/7u2PbC7Rw0P1YIDuuo5lC1qj9TuOaK7j1stOp6NnoKRhzOWHRlPxPJysrvHdureXHz22paTnmOQ86Pb5S9b6FlGVgrq58OrGdHpI/uaGbGSS7Vd0/vnuOr6cBSUyqZ7X2hgZSiRV9m5UM3+meV8uXH50UfmUe+/i8z2ViD9zZ0rtvrd0iqJ1TGDIqTWTFg6fPnTsktPmR3NxC2c1Fc1BwNB37N59f15DlbKWU+4ddc/UBezMF5R8QYvKqJoBg3+/8Su5OmHr3l6j+vWORaN9K6cb7Y5luJBam8+ficgHgB8Dkb5BVfeMiVSTmJwd5g/m81GI62rE14fwewUpMaqLcmqInv4cdz35QhTwC4Z6iYsOnxaliwcAjF/fXxfCV2t95idrSibT46TErDudjiykion3wvz2Jj7PMphXLrzuIRqyQ2oyZ63xtmsfKvFSf2JLcSwsN9qJ99LcGhvxQIM+zQ1ZGrNpXnT4dJYtaOUzP1mTeL/uGi4P91z8IIpg1Dm+jjuvZs0MlyZueQbwdHsXL/rEXdGH7yyi/KBuytDaHq58HE11Q/I7nLmys9BxZeNb7dzx6PNFI8Wv37+epXMPY+Punij/+KqA8aCPS9qaeevL5nHr7zZHZezWE/FVKW6+RzGjsrdd+xBL2spbDMV723u6B5g7o5F0SigMmLm/HV0DXHjdQyye01ykYnFzMu4ad191JnWZFLl8gSNbGhKv55uwR8/OzjE6S8Q1W/dF6iP33H0Vs8N9db61UVLj4KvUKo0uzPvWFW37b7Ab7Ts5337tQyXv0Wib7NY6gvgrjErpIWC1/Xt0VCWZ5Nx+xRlFK6gBfPDVx1TVvy5pa2Hp3MNY0mZ6a0vamsl6laBASb7+uU31mcgU1VdtOMe3aL5i7mFFfhWOTFqK4j3FqTTySKeIelrl8rj9ijO4+6ozOaI5+R7cPEvcEsn1zJPWA4+PMjJpidacOL6tfOAzP1hgvLySiPdSs2mzjoe7RjyPpJGgxuTr6CnfUPvnOHynOV92V5nGy6ecxVxSoER/VJIvKIc310XBF8utfuj3buMj186+XFk5fVZt2J3YMy7HsgWtRcEr/TKP96D9fOJ5jtS6DUrL1d+utOKkT60Wdu5+42TSpbHSgKK16/2jSe/RaFNTA6GqL0r4WzTq0kxy/J5wQ7a4B+urpJJ+O6ec5oYsx8yeVqSvdPmWcxZyTj3HHTm96LwVF59S4tzXkC1+8WY2ZUvUUeXuKU59Jl3U06pkshjXGUcyibB1b29Rb945Fm7d28sHzjqmxFEv7gBYl04xvSHD0rmHVXVucscBegfz9AzkKqo50imhMZumqS5DQzYdjbD8PPoGjY74sMbSdcjd6ColJq9q1l2uF+jwR0L+O+JYcfEpZecKnBqnbzCf6PgVd86bPb0+WlXQqVHiz6W1qS5SW8RDv7h3xS+fJEeu+HyPO9dXh8RVI0vnHsYpR88AzOj64+csZklbS0kPuqUhQ0Gx822Fkms4VCnK313P5RtHY2pWpzoyf+UjM/vE5zR8NVstczWqSnf/UDoBUikYzBe8OiJZlrEKF1KTiklE3p20X1W/N7riTG5857UDcc+Pu/l/+d51rNm6LxrqX3jdQ8yf2cTmPT0U1KglmqzlUjVnq/7BvPGyTks0/PZVOuXuKVdQctbHI5NJkUlJ1R54PJ/6mBMhwLbO/pK0ypCK7eofr2HhLKMD39M9QN9AvsicOD4p7NQ9cesSf92NuCpoR9cAb7/2IY5vq+5sVE6dBMVrhTiy6eRFoRzpFLh6TID5M5t4fk8PqkSWbl++dx2PbjTa2vj81ZfvXUdDdshh0llm+WocMGagjbb37asznBXUosOnFamT3ISom3h3McI+Zdc+UeDqH6+JGvPGWFh6/32F4p7ml+9dR2NdOrKoy+eVde1d0XN927UPReoupzbyDS3w9vsOm8fMnhYZMOQLyrbOfrL2PRdMOJqLrl8ZqYu2dBi15cJZTZG6z6lm/Xu55eHNJWrW0uc/hB9SxyebTkUydPUNFqnZdnYNcHxbc3TMz9u9I/kCdPTkSvbl0SK1k48Ac+17NBYe4bXOQbzc+90AvBZ4DDikGgjfPG+kD8M3o21uyLJsQWvJGhAFLY7TBEMTv66HG7++y0PVekHLkMa5oOb8rXt7S16k81Y8GJlu1nu9n3gvqxZTxpHaVzhnwZ1d/SW+JoP5AgVVUnYkki9oYoXszGzdhG6SbG886aiiNbtdmbnG0F9ru1a1Ql7taoK2V3v9r/5YdNzPRoHugRyuXnHWZXHiTmlOZ+4/g6/fv750gj2hbHwrsfg9zW01i0g9u31/kYxxnBrUH4nG8ypA0UgtnRIaU2nyBWUwX1rRxie6k9SQxhlzyLGzsy/Hrv3FHY7GbJr9+RwFiEZSH3z1MfzLfc9Gafz5ucFcoeQ9iJvGVkPAfGSx0prdXB+NrDr7ciXqoC0dvcxrTVCrJhR6rcZKihm1jFW4kFpVTH/j/V2GWcAnWekcGBZJa0CA0Tv6n3oun2xl4ufhzEtVS1UHubyWmFD658XXxh4JlUwlK41F9nQP8Ls/7SkZfYD5UJzZ7paOXnoG8nT35Yom9F1vVjGVdNK1BDPx6xr4+L3v78sVmRvWOnbK5TVaHCpfUH7+9Pai4/GP3x+FbNzdw1n/cn/Rcd/h6sLrHmLNVjNJ7zzLHUlqnExspOXS9/TneHTjnmiE6PjF09t5ur3y+iNA1Bu/9MZV1h+nM/FZu5Gae0+7bZkm4c721TLxPLt6h6LYuuffN1h8D72DQyPOwbzpacdVY/4cn1I8Kb70mvv43Z+GZ2tjOmKl34rfECUZjXT25Xi6vYutscCbSZ9dDYaFEU+3G0/zsWCkRsA9mHWkAzVSrgee5LwGpqI7rCnL3p6hRuHk+a38ccf+krTxPCQl0RKjnX059vfnonz8SdH4eR989TE8+NzOivJWur+Lrl8ZOQC5/tWgVV3Mbq5jX2+OnNXrRrJCiTlfNSQlDOQK5FVR1ZKPqbEuFR1zzIoZAsTvvbkhU9Szc3nkYmqETFoo5JVMJhXpqOOkxIRVqaXB3dM9QFNdmry1CprX2hSpE9zIL1WQksrTme0+t2M/AlFwx86+XGSC6eYl1FpG1WVSkW9MOQ6zscW27O1FVfHV/L5hRFffYKLaQzEhLPorXCclcERzPZl0Koom/IU3L2XVht1FPf+VZb4NRzplyjnek3/qhX0sntMcydczkIsiH8+f2VTS266zRiP9uQLZtESj0Ur477jfqLr5NmeWnFelPp0q8iVSiEasjtnNdXT0DJakdXNbzg9mIF8gl9ciq0Y4sAn6StS65OjPROSn9u8u4Fngv8dEokOMpJ4gmAe+r6d4xPCD1VsSRxFxBzi33jSY3pmfjx8mYyxWrnI67bqMiQ3lxNrRNRCpc3zcfMRwcJP5zsEt/jHv7clFxzKpVOQE5zt2xe995rS6oufg8vARzIS0SPFa3XGyXlysajTVpYsahJ8/vT2Sw438yq0D4cx2nWGCG3m4wJHrtnWxvbMvCqFSqdIeuu9BNu7uicrPx0UEdvr1cuzqGqjYEBXUzE3l8gU27+kpWg/FZ217Z8WRXH0mnXj8B6u3lMxBufmCzXt6Eg0W6jIp0mJMzuOGHlBqWecaXRNV2ezrGcgXlX9/rkBdOsWC2HrwULqGzOzp9TRm00VpU548aasGbcymSQsljpOVRu8HQq0jiH/1fueATaq6ZQzkmfSMVlAsP594WAGHQlFPIZ8v1Z/CkAPclo7eqCfhdLYuH4cfJsOfAHVzEwdyf/4cDRjVT7zqn91cz86u/poahYydgDyiuY6mugx7ugeG3VOKm3Fu6eiNQkS40BlHHdZArqAlI7Y46bQZma3f2c1grPZ0vcmFs5o4sqWBp9s7o8n/wVyBbCbFUYc1sGVvb9QDPKK5np37k597ab94SHY//AeYymZLR29iGJV4mBSfGU1ZuvtzkfNVNd6+bB6/39zBlo7espV/XO6k+3Bs7+qPrts3WOAbD6wvSp/LK7Ob66jPmHVLNsX8SgbyBerTKeJ3mMsXyvoFFRR++NiW6BtwFbkA062qq38wHy325UYHDdk0KSkwkC8UlVUBqE+nzPuQcKMD+UJZAw43AprZNDRh3tyQZUlbcxR88fkOM+82kC+Qt5Px0xoyHNaYZYunqtrTPTDsAJS1UOscxK+AdZiIrq1AdWPvQM0khRUA0zj4PYVKpmzNDdmitR2c+awfAiApTEaS09BoELfUAHNfLuxINSLnPIEXHT6dI1samNfaWPPcgCMpFIUbSbgwKK4XGx+xxUmLRDrxpJUFU1DknOVGU848dfOenmhUkk2n2NHVnzgKSZoH8GX3z3HWNuUazu4ycwBgRguD+doaBwFOPOow1m3rqthIx7OqlHVSQLq4Wevs6Wbi98iWBlJSHBoml9fE+yto5R71D1ZvYfWmjiiwn5NzwHsv0ykh7a5ns6rLpGhMGF34caHi5PIaqfzi5AtDjn7+c/XNnd3zdR7+Bcwzj5unlwuxcqDUqmJ6B/A74ELMutQPi8hBG+57vHGmpnWZVJGj1h1XvoKTj54ROcpU85SMO0vdfdWZ3H3VmeO6vq3z+3DhwH3eedp8Llx+dMJZxbQ0ZLjjylckWuTEQy7EmVaXjsKI/PD9r+DZL55b4nzlOzTlPH2zYkYtfiiShbOaIgeu2c31JWuG+7hDt19xRlEPv6k+w8xpdUXn+tf183MNSiX1jBsV3X7FGSWjyZaGTFXz5HKHXeXbVJdmiQ1L4hwIj29rpqNnoOT+yy2amKRiO6K5LlLVLJzVxMvmDznIOVPXaQ2Zkn1xjmptLNlXdB/ACTGTbt+1Jp8383Bx66VTXzSTJW0tLF84M3p+TfWZom0X2qRSGTdkh+49LXD0zFIVUxyh1PE26fli09191ZklcoyFs1ytKqZPAS9X1R0AIjIb+B/gB6MqzSGM0zG6D8I3ZR1OLz/JDLbc+ra+I95o4+ZWXH0ilI5ewFQkcX31vFZzr26y0E22ghlt+eq4uApDgd3dAyxpa4kixkKpznd7Zx8pEQqqRXkU8sbk1vex2N09YOc98sUTkwn6ExfBFohUF8pQcDknRnwOQ4Bp9Rk7+V6cp6sC3HXzhaE1IfwQHWaSu5E/7uwuOz8imNFLvEfr9N29A3n6cwX+uLMbLWgU0uL5jl6+fv/6kvTplNDTn4vCxTuMafLQ/aYwI8He9k7y+Rwv7OujfV9fdE+d1uLJzVP5S+G6Z19QN3IoVFRl1WVNyPBf/2FXkbyuXBVjJhwvoxPaWnjwDzsj9Y6LebS9sy8yrvAX1EpSnwkwp6Uh8rsoKDy/pzTkSpxy2oH4dwTGmfGi61fSP5inPpumbzBfFGJlNKk11EbKNQ6W3cM4N1AF1+NM8lSO90Yr5VFp/iCet2/muWFX96gPTf3geK4H6kJYu7AjrqfoB9FzMXtWb+qgb9CYrm7Y1c3Hz1kceaQ7E2A3QZiCxDANUKrqam0yFZ4znXUqH3ftaQme5Ue3NtI3mI9MVF0ebhriiOY6vvSWpYgQReh8pr143Y1tnX1RMDc3svF72Yqx409SRRzZUs/xbc3Mbq6zTmJEa0IARaEvoPykv3sOz37x3OgZuJHS4jnNkTWZMwJw9ad7N9MpicraD0PSVJ/h5S+aGVnOufJ19+uXqx/zyJWNM2F1k7u9dj2SLR290bO/4OS5USW5rbOfI1vqi96ZU180M3qfbn7f6Vxy2vyicBbuWWXTEslel0kVTT5/+7d/iiL5rt+xP1I7bbQRhAuqfPLc4yOVj3v2C2c1Fb3n8TAa/ojMcURzHT98/yui5+BrB/xv2X1H/kjt83eupatv0IQmt86ztWgYRkKtI4h7ReQ+4Fa7fREwpmtEB8aWpOiho/1yOSsb99vf71ah89O96PChdbgryefCICtD9uJxZzc3KtoSszkfyJX2rI0JqJHTjaj8fPz1EFwF7edSl0kXqV+S+u6DuULJ6oHxKLrlnPN6BvIsmJUt0f27cvEDMG7dWxpQDoYmWv0RanxEGb++ayxgKGyE8bNJljN+fvdAjkXRM+2teI/x6zrcPcZVJz0D+ZJ3xo3Ck94TP+/OvlzU6/YZ9CL5+r99WXy1lHtvjmxpYLedFG9uyBY9A8U5yDXSmE3TUzDP0AVcLOf46mOi9qaiMBtuTQ7flLlaHiOl2prUxwBHqurfi8hbgT/DvGsrgZtHXZpDmLjusdyx4eRTaZ+vmhirOC6OcjGc1lzzBqB0cSYwI5y4fC7d0a2NJTb4fYN5vvjmpXz6J2vMAjg79id+5EmTmm4S2UUu9c/dsKubz55/QpSvM4nd358rimiapArw8WNuufvzJ7rrMin+zysWct2DG0rO/cS5x/Pfv98aTeK6sxTzHB98bmcUTbVcbC0zv1U+ltbtV5zBLQ9v5uofF0e4Lahywclz+dSP1xRVnut3dnPrZaeXeOX77OoaYPb0waKQ2qs3dRRFIU2U1fosKEPPvrWprkhlNHNaXVQpJy3yBUT+Gv663s5hNImsf13vd3Tcrnb32/W7ip69fz0ojW/mjAsasumyC/0kLVPr40eEdmtyuPczHjpkNKk2gvgacDWAqv4I+BGAiCy3x/5iTKQKjDnONLZSXKcDpVJlVC1dknyuN//nL5ld0kAIFK1lnNQ4uHT+/paGDN9576lFTlpFPclcIVo7wZfFrZTnl13cXLmlwUxO5wpaUsbxHvHbl83jE+cdz3ce2mh72UY7/4ULTuSS0+ZH6xqct+JBntuxPzKVfXZbF7dfcQbnrXgwctLKpKXI4Sol8LevPbZowjOpzC85bT6f+9naIlNO12tO6k3HR513X3Ump/7TL6IySAklxgrLFrSWlJPYsmuqy0Rl9ZmfrCkq32ULWvncz9aSK2hUJnHKvVfuWf35S2Zzsxee3eHHV/Ov6347xzcny02rNpb9bty1Fs5qKjLLdpPQ8UnnuIzuWr7JaqX7SAodMppUayAWquqT8Z2q+qiILBwTiQLjxlgOTUcDX75KaxtAae/O7wH6abNpYcD23N2krrv/aMSS0IN98LmdRWWVVHb+BLrL2/Xs4mUcn1x2E/h1mVRRDJukBW/SIuQwE/hX/3gNm3d3F63bAJD34h/VDWOEWGeDI/oTn+ee2MZv/rCrpLyT8vTLoJY0YJ7Nrv0DLJ5TH5VpUvm6sklqHCrh8vLXsvA5ormeI1saSq4bV8NVevZQvH5GSkxgRjfSrDRKj6+7AcnrOyTdx1iP/qWcPhFARNaramLTVOnYRLF8+XJ99NFDapmKQ4av378+6uGnBWZOH3Kg8nt3fs8+qTfofj+3Yz8zm7Jc+5fLo4+w3LnDaUCTRhajkdbnXd96uEjd4kcrdfhlNJIRYlw2N3JRVWZNqysqt5Hc13krHixy7EwLfPTs48asJxyXbXtnHwWl7GhkJMTf0Y+efRx3PflC1bLwz3NUK4+RvjtJiMhqVV2edKyaJdIjInJZQoZ/jVk0KBAYF5LWNnAOVP7Er78mQrnfMOSgFF//uVz6WhnOeSO9Rnyd5XNOmFPi2+CX0UgqkLhszpCgqS5TsqJdtXPLpYk7do5lTzguW0M2TVNdetQaByh9R09fNKumskhaK75aeYz03Rku1UYQR2KWGR1gqEFYjonk+hZV3VYxc5FzgBVAGrhRVf85dlzs8fMwAQDfo6qP1XJuEmEEcXAzWr2mpJ7eWPdcR5vjPn1PkT4+rsMeq3ml0WY0e8KTgZHez0Q+v0ojiIoNhJfBq4ET7eZaVf1lDeekgeeA1wNbgEeAd6rq016a84C/wTQQpwErVPW0Ws5NIjQQgVpYvamDC697iIIar9exsB8/FFm9qYNVG3Zz+qJZoTynEJUaiJr8IFT1fuD+YV73VGC9qm6wQtwGXAD4lfwFwPfUtFKrRGSGiLQBC2s4NxAYEeNhwXWosXpTB5feuIqBXCFyVgvlOvUZ6XoQtTAXeN7b3oIZJVRLM7fGcwEQkcuBywHmzx89fWLg4Ma3zQ8cOKs27DYLVunYOV4Gxp+xDJchCfuSQpckpanlXLNT9QZVXa6qy2fPnj1MEQOBwGhw+qJZ0ZoK4zXhHBh7xnIEsQXwQ3fOA16oMU1dDecGAoFJwrIFrdz8vtPDHMRBxlg2EI8Ax4rIi4CtwMXAJbE0PwU+ZOcYTgP2qWq7iOys4dxAIDCJcB7PgYOHMWsgVDUnIh8C7sOYqn5bVdeKyJX2+HWYgH/nAesxZq7vrXRutWuuXr16l4hsGpMbOjAOB3ZVTTU5CbJPDFNV9qkqNxy6si8od6AmM9fAgSEij5YzI5vsBNknhqkq+1SVG4LsSYQ1HQKBQCCQSGggAoFAIJBIaCDGhxsmWoADIMg+MUxV2aeq3BBkLyHMQQQCgUAgkTCCCAQCgUAioYEIBAKBQCKhgRhDROTbIrJDRJ6aaFmGi4gcLSL3i8gzIrJWRK6aaJlqQUQaROR3IvKElftzEy3TcBGRtIg8LiJ3TrQsw0FENorIGhH5vYhMqbDKNlDoD0RknX3na18IfoIQkeNsWbu/ThH58KheI8xBjB0iciawHxOx9sRq6ScTNqpum6o+JiLNmPVA3lwt5PpEY9cYmaaq+0UkC/wGuEpVV02waDUjIh/FrLvSoqrnT7Q8tSIiG4HlqjrlnM1E5L+AX6vqjSJSBzSp6t4JFqtm7BIJW4HTVHXUnIXDCGIMUdUHgT0TLcdIUNV2t3iTqnYBz2Ci7E5q1LDfbmbt35TpBYnIPOCNwI0TLcuhgoi0AGcC3wJQ1YGp1DhYXgv8cTQbBwgNRKAGRGQhcArw8ASLUhNWRfN7YAfwC1WdEnJbvgZ8HChMsBwjQYGfi8hqG4Z/qrAI2Al8x6r2bhSRaRMt1DC5GLh1tDMNDUSgIiIyHfgh8GFV7ZxoeWpBVfOqejImCvCpIjIl1Hsicj6wQ1Wn6nrvr1TVlwHnAh+0KtapQAZ4GXCtqp4CdAOfmFiRaseqxN4E3DHaeYcGIlAWq8P/IXCzqv5oouUZLlZN8ABwzsRKUjOvBN5kdfm3Aa8RkZsmVqTaUdUX7P8dmLXsT51YiWpmC7DFG2n+ANNgTBXOBR5T1e2jnXFoIAKJ2MnebwHPqOq/TbQ8tSIis0Vkhv3dCLwOWDehQtWIqn5SVeep6kKMyuCXqvqXEyxWTYjINGvMgFXPnA1MCes9Vd0GPC8ix9ldr2VqLW/8TsZAvQRjux7EIY+I3AqcBRwuIluAf1TVb02sVDXzSuBdwBqrzwe4WlXvnjiRaqIN+C9r1ZECvq+qU8pcdIpyJPBj068gA9yiqvdOrEjD4m+Am626ZgN26YHJjog0Aa8HrhiT/IOZayAQCASSCCqmQCAQCCQSGohAIBAIJBIaiEAgEAgkEhqIQCAQCCQSGohAIBAIJBIaiMAhg4jkY9EvJ4W3rBh+KSItIrKw1ui/InKWiKyM7cuIyHYRaRORfxWR14yN1IFDgeAHETiU6LUhOEYNEcmoau4AszkPeEJVO0Vk5jDOexCYJyILVXWj3fc64ClVbReR/wC+CfzyAOULHKKEEUTgkMeuY/A5EXnMrmew2O6fZtf0eMQGcbvA7n+PiNwhIj/DBKdrEpHvi8iTInK7iDwsIstF5K9F5KvedS4TkSSv9EuB/06Qa5G97stF5MUicq8NhPdrEVmsqgVM/J2LvNOioG02sucsEZkzWmUVOLQIDUTgUKIxpmLyK9ZdNtDctcDf2X2fwoS7eDnwauBfvCifZwB/paqvAT4AdKjqScAXgGU2zW2Y2EpZu/1e4DsJcr0Ss95GhA378EPgvar6CGZR+r9R1WVWvm/YpLdiGgVEpB4zGvmhl9VjNv9AYNgEFVPgUKKSiskFI1wNvNX+PhtTwbsGowGYb3//QlXdWh9/BqwAUNWnRORJ+7tbRH4JnC8izwBZVV2TcO2Zds0Nx2zMiOJtqrrWRtR9BXCHDWUBUG+v8YiITLcNyvHAKlXt8PLaARxV5p4DgYqEBiIQMPTb/3mGvgvBVNLP+glF5DRMSGi8dOW4EbgaEzAwafQAkBORlFUZAewDnsf0/NdiRvp7KzRut2FGEcdTGrStAeitIF8gUJagYgoEynMf8Dc2si0ickqZdL8B3mHTLAGWugM2hPTRwCWUj7j5LGbRGscA8Gbg3SJyiV2H408icqG9hojIS730twJ/CbwG+Gks75cwRaKqBiYfoYEIHErE5yD+uUr6L2CWLH3Smp5+oUy6bwCzrWrpH4AnMaMAx/eB38ZUPz53YaL+RqhqN3A+8BE7OX4p8Nci8gRmVHGBl/ZpoAczXxKNbOzcxzHAo1XuMxBIJERzDQQOEBtaPKuqfSLyYuB/gZeo6oA9fifwVVX93zLntwHfU9XXj7JcbwFepqqfGc18A4cOYQ4iEDhwmoD7bY9dgPer6oBduOh3GB+HxMYBwPosfFNEWkZ5WdcM8JVRzC9wiBFGEIFAIBBIJMxBBAKBQCCR0EAEAoFAIJHQQAQCgUAgkdBABAKBQCCR0EAEAoFAIJH/H9+ZFzFl0zneAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot('data', 'simple', 'bkg', 'simple')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "primary-image",
   "metadata": {},
   "source": [
    "What happens with commands like `group_counts`? The `if` checks are just to show that groupnig data has been created for both the source and background data sets by the `group_counts` call:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "wired-purse",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NOTE: no grouping\n",
      "NOTE: we have grouping\n"
     ]
    }
   ],
   "source": [
    "data = get_data('simple')\n",
    "bkg = get_bkg('simple')\n",
    "\n",
    "if data.grouping is None and bkg.grouping is None:\n",
    "    print(\"NOTE: no grouping\")\n",
    "\n",
    "group_counts('simple', 20, tabStops=~data.get_mask())\n",
    "\n",
    "if data.grouping is not None and bkg.grouping is not None:\n",
    "    print(\"NOTE: we have grouping\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "consistent-metro",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot('data', 'simple', 'bkg', 'simple')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "developing-factory",
   "metadata": {
    "tags": []
   },
   "source": [
    "We can see the same grouping values are used for the two data sets - this is more-easily seen in a Jupyter notebook where we can take advantage of the rich-output interface for the data objects (here `data` and `bkg`) as the \"Summary\" section lists the number of groups within the filter: 67 for the data and 158 for the background."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "understood-washington",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;DataPHA data set instance &#x27;data/acisf04938_000N002_r0043_pha3.fits&#x27;&gt;</div><div hidden class=\"sherpa\"><style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;sherpa.astro.plot.DataPHAPlot object at 0x7fdb423bad30&gt;</div><div hidden class=\"sherpa\"><details open><summary>PHA Plot</summary><svg height=\"288pt\" version=\"1.1\" viewBox=\"0 0 432 288\" width=\"432pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <metadata>\n",
       "  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
       "   <cc:Work>\n",
       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
       "    <dc:date>2021-08-27T11:37:11.440155</dc:date>\n",
       "    <dc:format>image/svg+xml</dc:format>\n",
       "    <dc:creator>\n",
       "     <cc:Agent>\n",
       "      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n",
       "     </cc:Agent>\n",
       "    </dc:creator>\n",
       "   </cc:Work>\n",
       "  </rdf:RDF>\n",
       " </metadata>\n",
       " <defs>\n",
       "  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 288 \n",
       "L 432 288 \n",
       "L 432 0 \n",
       "L 0 0 \n",
       "z\n",
       "\" style=\"fill:none;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g id=\"patch_2\">\n",
       "    <path d=\"M 54 252 \n",
       "L 388.8 252 \n",
       "L 388.8 34.56 \n",
       "L 54 34.56 \n",
       "z\n",
       "\" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_1\">\n",
       "    <g id=\"xtick_1\">\n",
       "     <g id=\"line2d_1\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L 0 3.5 \n",
       "\" id=\"m133b05824a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"92.757332\" xlink:href=\"#m133b05824a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_1\">\n",
       "      <!-- 1 -->\n",
       "      <g transform=\"translate(89.576082 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 12.40625 8.296875 \n",
       "L 28.515625 8.296875 \n",
       "L 28.515625 63.921875 \n",
       "L 10.984375 60.40625 \n",
       "L 10.984375 69.390625 \n",
       "L 28.421875 72.90625 \n",
       "L 38.28125 72.90625 \n",
       "L 38.28125 8.296875 \n",
       "L 54.390625 8.296875 \n",
       "L 54.390625 0 \n",
       "L 12.40625 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-49\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_2\">\n",
       "     <g id=\"line2d_2\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"139.499091\" xlink:href=\"#m133b05824a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_2\">\n",
       "      <!-- 2 -->\n",
       "      <g transform=\"translate(136.317841 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 19.1875 8.296875 \n",
       "L 53.609375 8.296875 \n",
       "L 53.609375 0 \n",
       "L 7.328125 0 \n",
       "L 7.328125 8.296875 \n",
       "Q 12.9375 14.109375 22.625 23.890625 \n",
       "Q 32.328125 33.6875 34.8125 36.53125 \n",
       "Q 39.546875 41.84375 41.421875 45.53125 \n",
       "Q 43.3125 49.21875 43.3125 52.78125 \n",
       "Q 43.3125 58.59375 39.234375 62.25 \n",
       "Q 35.15625 65.921875 28.609375 65.921875 \n",
       "Q 23.96875 65.921875 18.8125 64.3125 \n",
       "Q 13.671875 62.703125 7.8125 59.421875 \n",
       "L 7.8125 69.390625 \n",
       "Q 13.765625 71.78125 18.9375 73 \n",
       "Q 24.125 74.21875 28.421875 74.21875 \n",
       "Q 39.75 74.21875 46.484375 68.546875 \n",
       "Q 53.21875 62.890625 53.21875 53.421875 \n",
       "Q 53.21875 48.921875 51.53125 44.890625 \n",
       "Q 49.859375 40.875 45.40625 35.40625 \n",
       "Q 44.1875 33.984375 37.640625 27.21875 \n",
       "Q 31.109375 20.453125 19.1875 8.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-50\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_3\">\n",
       "     <g id=\"line2d_3\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"186.240851\" xlink:href=\"#m133b05824a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_3\">\n",
       "      <!-- 3 -->\n",
       "      <g transform=\"translate(183.059601 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 40.578125 39.3125 \n",
       "Q 47.65625 37.796875 51.625 33 \n",
       "Q 55.609375 28.21875 55.609375 21.1875 \n",
       "Q 55.609375 10.40625 48.1875 4.484375 \n",
       "Q 40.765625 -1.421875 27.09375 -1.421875 \n",
       "Q 22.515625 -1.421875 17.65625 -0.515625 \n",
       "Q 12.796875 0.390625 7.625 2.203125 \n",
       "L 7.625 11.71875 \n",
       "Q 11.71875 9.328125 16.59375 8.109375 \n",
       "Q 21.484375 6.890625 26.8125 6.890625 \n",
       "Q 36.078125 6.890625 40.9375 10.546875 \n",
       "Q 45.796875 14.203125 45.796875 21.1875 \n",
       "Q 45.796875 27.640625 41.28125 31.265625 \n",
       "Q 36.765625 34.90625 28.71875 34.90625 \n",
       "L 20.21875 34.90625 \n",
       "L 20.21875 43.015625 \n",
       "L 29.109375 43.015625 \n",
       "Q 36.375 43.015625 40.234375 45.921875 \n",
       "Q 44.09375 48.828125 44.09375 54.296875 \n",
       "Q 44.09375 59.90625 40.109375 62.90625 \n",
       "Q 36.140625 65.921875 28.71875 65.921875 \n",
       "Q 24.65625 65.921875 20.015625 65.03125 \n",
       "Q 15.375 64.15625 9.8125 62.3125 \n",
       "L 9.8125 71.09375 \n",
       "Q 15.4375 72.65625 20.34375 73.4375 \n",
       "Q 25.25 74.21875 29.59375 74.21875 \n",
       "Q 40.828125 74.21875 47.359375 69.109375 \n",
       "Q 53.90625 64.015625 53.90625 55.328125 \n",
       "Q 53.90625 49.265625 50.4375 45.09375 \n",
       "Q 46.96875 40.921875 40.578125 39.3125 \n",
       "z\n",
       "\" id=\"DejaVuSans-51\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-51\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_4\">\n",
       "     <g id=\"line2d_4\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"232.98261\" xlink:href=\"#m133b05824a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_4\">\n",
       "      <!-- 4 -->\n",
       "      <g transform=\"translate(229.80136 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 37.796875 64.3125 \n",
       "L 12.890625 25.390625 \n",
       "L 37.796875 25.390625 \n",
       "z\n",
       "M 35.203125 72.90625 \n",
       "L 47.609375 72.90625 \n",
       "L 47.609375 25.390625 \n",
       "L 58.015625 25.390625 \n",
       "L 58.015625 17.1875 \n",
       "L 47.609375 17.1875 \n",
       "L 47.609375 0 \n",
       "L 37.796875 0 \n",
       "L 37.796875 17.1875 \n",
       "L 4.890625 17.1875 \n",
       "L 4.890625 26.703125 \n",
       "z\n",
       "\" id=\"DejaVuSans-52\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_5\">\n",
       "     <g id=\"line2d_5\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"279.72437\" xlink:href=\"#m133b05824a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_5\">\n",
       "      <!-- 5 -->\n",
       "      <g transform=\"translate(276.54312 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 10.796875 72.90625 \n",
       "L 49.515625 72.90625 \n",
       "L 49.515625 64.59375 \n",
       "L 19.828125 64.59375 \n",
       "L 19.828125 46.734375 \n",
       "Q 21.96875 47.46875 24.109375 47.828125 \n",
       "Q 26.265625 48.1875 28.421875 48.1875 \n",
       "Q 40.625 48.1875 47.75 41.5 \n",
       "Q 54.890625 34.8125 54.890625 23.390625 \n",
       "Q 54.890625 11.625 47.5625 5.09375 \n",
       "Q 40.234375 -1.421875 26.90625 -1.421875 \n",
       "Q 22.3125 -1.421875 17.546875 -0.640625 \n",
       "Q 12.796875 0.140625 7.71875 1.703125 \n",
       "L 7.71875 11.625 \n",
       "Q 12.109375 9.234375 16.796875 8.0625 \n",
       "Q 21.484375 6.890625 26.703125 6.890625 \n",
       "Q 35.15625 6.890625 40.078125 11.328125 \n",
       "Q 45.015625 15.765625 45.015625 23.390625 \n",
       "Q 45.015625 31 40.078125 35.4375 \n",
       "Q 35.15625 39.890625 26.703125 39.890625 \n",
       "Q 22.75 39.890625 18.8125 39.015625 \n",
       "Q 14.890625 38.140625 10.796875 36.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-53\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_6\">\n",
       "     <g id=\"line2d_6\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"326.466129\" xlink:href=\"#m133b05824a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_6\">\n",
       "      <!-- 6 -->\n",
       "      <g transform=\"translate(323.284879 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 33.015625 40.375 \n",
       "Q 26.375 40.375 22.484375 35.828125 \n",
       "Q 18.609375 31.296875 18.609375 23.390625 \n",
       "Q 18.609375 15.53125 22.484375 10.953125 \n",
       "Q 26.375 6.390625 33.015625 6.390625 \n",
       "Q 39.65625 6.390625 43.53125 10.953125 \n",
       "Q 47.40625 15.53125 47.40625 23.390625 \n",
       "Q 47.40625 31.296875 43.53125 35.828125 \n",
       "Q 39.65625 40.375 33.015625 40.375 \n",
       "z\n",
       "M 52.59375 71.296875 \n",
       "L 52.59375 62.3125 \n",
       "Q 48.875 64.0625 45.09375 64.984375 \n",
       "Q 41.3125 65.921875 37.59375 65.921875 \n",
       "Q 27.828125 65.921875 22.671875 59.328125 \n",
       "Q 17.53125 52.734375 16.796875 39.40625 \n",
       "Q 19.671875 43.65625 24.015625 45.921875 \n",
       "Q 28.375 48.1875 33.59375 48.1875 \n",
       "Q 44.578125 48.1875 50.953125 41.515625 \n",
       "Q 57.328125 34.859375 57.328125 23.390625 \n",
       "Q 57.328125 12.15625 50.6875 5.359375 \n",
       "Q 44.046875 -1.421875 33.015625 -1.421875 \n",
       "Q 20.359375 -1.421875 13.671875 8.265625 \n",
       "Q 6.984375 17.96875 6.984375 36.375 \n",
       "Q 6.984375 53.65625 15.1875 63.9375 \n",
       "Q 23.390625 74.21875 37.203125 74.21875 \n",
       "Q 40.921875 74.21875 44.703125 73.484375 \n",
       "Q 48.484375 72.75 52.59375 71.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-54\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_7\">\n",
       "     <g id=\"line2d_7\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"373.207889\" xlink:href=\"#m133b05824a\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_7\">\n",
       "      <!-- 7 -->\n",
       "      <g transform=\"translate(370.026639 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 8.203125 72.90625 \n",
       "L 55.078125 72.90625 \n",
       "L 55.078125 68.703125 \n",
       "L 28.609375 0 \n",
       "L 18.3125 0 \n",
       "L 43.21875 64.59375 \n",
       "L 8.203125 64.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-55\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-55\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_8\">\n",
       "     <!-- Energy (keV) -->\n",
       "     <g transform=\"translate(189.192187 280.276563)scale(0.1 -0.1)\">\n",
       "      <defs>\n",
       "       <path d=\"M 9.8125 72.90625 \n",
       "L 55.90625 72.90625 \n",
       "L 55.90625 64.59375 \n",
       "L 19.671875 64.59375 \n",
       "L 19.671875 43.015625 \n",
       "L 54.390625 43.015625 \n",
       "L 54.390625 34.71875 \n",
       "L 19.671875 34.71875 \n",
       "L 19.671875 8.296875 \n",
       "L 56.78125 8.296875 \n",
       "L 56.78125 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-69\"/>\n",
       "       <path d=\"M 54.890625 33.015625 \n",
       "L 54.890625 0 \n",
       "L 45.90625 0 \n",
       "L 45.90625 32.71875 \n",
       "Q 45.90625 40.484375 42.875 44.328125 \n",
       "Q 39.84375 48.1875 33.796875 48.1875 \n",
       "Q 26.515625 48.1875 22.3125 43.546875 \n",
       "Q 18.109375 38.921875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.34375 51.125 25.703125 53.5625 \n",
       "Q 30.078125 56 35.796875 56 \n",
       "Q 45.21875 56 50.046875 50.171875 \n",
       "Q 54.890625 44.34375 54.890625 33.015625 \n",
       "z\n",
       "\" id=\"DejaVuSans-110\"/>\n",
       "       <path d=\"M 56.203125 29.59375 \n",
       "L 56.203125 25.203125 \n",
       "L 14.890625 25.203125 \n",
       "Q 15.484375 15.921875 20.484375 11.0625 \n",
       "Q 25.484375 6.203125 34.421875 6.203125 \n",
       "Q 39.59375 6.203125 44.453125 7.46875 \n",
       "Q 49.3125 8.734375 54.109375 11.28125 \n",
       "L 54.109375 2.78125 \n",
       "Q 49.265625 0.734375 44.1875 -0.34375 \n",
       "Q 39.109375 -1.421875 33.890625 -1.421875 \n",
       "Q 20.796875 -1.421875 13.15625 6.1875 \n",
       "Q 5.515625 13.8125 5.515625 26.8125 \n",
       "Q 5.515625 40.234375 12.765625 48.109375 \n",
       "Q 20.015625 56 32.328125 56 \n",
       "Q 43.359375 56 49.78125 48.890625 \n",
       "Q 56.203125 41.796875 56.203125 29.59375 \n",
       "z\n",
       "M 47.21875 32.234375 \n",
       "Q 47.125 39.59375 43.09375 43.984375 \n",
       "Q 39.0625 48.390625 32.421875 48.390625 \n",
       "Q 24.90625 48.390625 20.390625 44.140625 \n",
       "Q 15.875 39.890625 15.1875 32.171875 \n",
       "z\n",
       "\" id=\"DejaVuSans-101\"/>\n",
       "       <path d=\"M 41.109375 46.296875 \n",
       "Q 39.59375 47.171875 37.8125 47.578125 \n",
       "Q 36.03125 48 33.890625 48 \n",
       "Q 26.265625 48 22.1875 43.046875 \n",
       "Q 18.109375 38.09375 18.109375 28.8125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 20.953125 51.171875 25.484375 53.578125 \n",
       "Q 30.03125 56 36.53125 56 \n",
       "Q 37.453125 56 38.578125 55.875 \n",
       "Q 39.703125 55.765625 41.0625 55.515625 \n",
       "z\n",
       "\" id=\"DejaVuSans-114\"/>\n",
       "       <path d=\"M 45.40625 27.984375 \n",
       "Q 45.40625 37.75 41.375 43.109375 \n",
       "Q 37.359375 48.484375 30.078125 48.484375 \n",
       "Q 22.859375 48.484375 18.828125 43.109375 \n",
       "Q 14.796875 37.75 14.796875 27.984375 \n",
       "Q 14.796875 18.265625 18.828125 12.890625 \n",
       "Q 22.859375 7.515625 30.078125 7.515625 \n",
       "Q 37.359375 7.515625 41.375 12.890625 \n",
       "Q 45.40625 18.265625 45.40625 27.984375 \n",
       "z\n",
       "M 54.390625 6.78125 \n",
       "Q 54.390625 -7.171875 48.1875 -13.984375 \n",
       "Q 42 -20.796875 29.203125 -20.796875 \n",
       "Q 24.46875 -20.796875 20.265625 -20.09375 \n",
       "Q 16.0625 -19.390625 12.109375 -17.921875 \n",
       "L 12.109375 -9.1875 \n",
       "Q 16.0625 -11.328125 19.921875 -12.34375 \n",
       "Q 23.78125 -13.375 27.78125 -13.375 \n",
       "Q 36.625 -13.375 41.015625 -8.765625 \n",
       "Q 45.40625 -4.15625 45.40625 5.171875 \n",
       "L 45.40625 9.625 \n",
       "Q 42.625 4.78125 38.28125 2.390625 \n",
       "Q 33.9375 0 27.875 0 \n",
       "Q 17.828125 0 11.671875 7.65625 \n",
       "Q 5.515625 15.328125 5.515625 27.984375 \n",
       "Q 5.515625 40.671875 11.671875 48.328125 \n",
       "Q 17.828125 56 27.875 56 \n",
       "Q 33.9375 56 38.28125 53.609375 \n",
       "Q 42.625 51.21875 45.40625 46.390625 \n",
       "L 45.40625 54.6875 \n",
       "L 54.390625 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-103\"/>\n",
       "       <path d=\"M 32.171875 -5.078125 \n",
       "Q 28.375 -14.84375 24.75 -17.8125 \n",
       "Q 21.140625 -20.796875 15.09375 -20.796875 \n",
       "L 7.90625 -20.796875 \n",
       "L 7.90625 -13.28125 \n",
       "L 13.1875 -13.28125 \n",
       "Q 16.890625 -13.28125 18.9375 -11.515625 \n",
       "Q 21 -9.765625 23.484375 -3.21875 \n",
       "L 25.09375 0.875 \n",
       "L 2.984375 54.6875 \n",
       "L 12.5 54.6875 \n",
       "L 29.59375 11.921875 \n",
       "L 46.6875 54.6875 \n",
       "L 56.203125 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-121\"/>\n",
       "       <path id=\"DejaVuSans-32\"/>\n",
       "       <path d=\"M 31 75.875 \n",
       "Q 24.46875 64.65625 21.28125 53.65625 \n",
       "Q 18.109375 42.671875 18.109375 31.390625 \n",
       "Q 18.109375 20.125 21.3125 9.0625 \n",
       "Q 24.515625 -2 31 -13.1875 \n",
       "L 23.1875 -13.1875 \n",
       "Q 15.875 -1.703125 12.234375 9.375 \n",
       "Q 8.59375 20.453125 8.59375 31.390625 \n",
       "Q 8.59375 42.28125 12.203125 53.3125 \n",
       "Q 15.828125 64.359375 23.1875 75.875 \n",
       "z\n",
       "\" id=\"DejaVuSans-40\"/>\n",
       "       <path d=\"M 9.078125 75.984375 \n",
       "L 18.109375 75.984375 \n",
       "L 18.109375 31.109375 \n",
       "L 44.921875 54.6875 \n",
       "L 56.390625 54.6875 \n",
       "L 27.390625 29.109375 \n",
       "L 57.625 0 \n",
       "L 45.90625 0 \n",
       "L 18.109375 26.703125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-107\"/>\n",
       "       <path d=\"M 28.609375 0 \n",
       "L 0.78125 72.90625 \n",
       "L 11.078125 72.90625 \n",
       "L 34.1875 11.53125 \n",
       "L 57.328125 72.90625 \n",
       "L 67.578125 72.90625 \n",
       "L 39.796875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-86\"/>\n",
       "       <path d=\"M 8.015625 75.875 \n",
       "L 15.828125 75.875 \n",
       "Q 23.140625 64.359375 26.78125 53.3125 \n",
       "Q 30.421875 42.28125 30.421875 31.390625 \n",
       "Q 30.421875 20.453125 26.78125 9.375 \n",
       "Q 23.140625 -1.703125 15.828125 -13.1875 \n",
       "L 8.015625 -13.1875 \n",
       "Q 14.5 -2 17.703125 9.0625 \n",
       "Q 20.90625 20.125 20.90625 31.390625 \n",
       "Q 20.90625 42.671875 17.703125 53.65625 \n",
       "Q 14.5 64.65625 8.015625 75.875 \n",
       "z\n",
       "\" id=\"DejaVuSans-41\"/>\n",
       "      </defs>\n",
       "      <use xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-110\"/>\n",
       "      <use x=\"126.5625\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"188.085938\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "      <use x=\"227.449219\" xlink:href=\"#DejaVuSans-103\"/>\n",
       "      <use x=\"290.925781\" xlink:href=\"#DejaVuSans-121\"/>\n",
       "      <use x=\"350.105469\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "      <use x=\"381.892578\" xlink:href=\"#DejaVuSans-40\"/>\n",
       "      <use x=\"420.90625\" xlink:href=\"#DejaVuSans-107\"/>\n",
       "      <use x=\"475.191406\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"536.714844\" xlink:href=\"#DejaVuSans-86\"/>\n",
       "      <use x=\"605.123047\" xlink:href=\"#DejaVuSans-41\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_2\">\n",
       "    <g id=\"ytick_1\">\n",
       "     <g id=\"line2d_8\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L -3.5 0 \n",
       "\" id=\"m23eca37fb0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m23eca37fb0\" y=\"247.645638\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_9\">\n",
       "      <!-- 0.000 -->\n",
       "      <g transform=\"translate(18.371875 251.444856)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 31.78125 66.40625 \n",
       "Q 24.171875 66.40625 20.328125 58.90625 \n",
       "Q 16.5 51.421875 16.5 36.375 \n",
       "Q 16.5 21.390625 20.328125 13.890625 \n",
       "Q 24.171875 6.390625 31.78125 6.390625 \n",
       "Q 39.453125 6.390625 43.28125 13.890625 \n",
       "Q 47.125 21.390625 47.125 36.375 \n",
       "Q 47.125 51.421875 43.28125 58.90625 \n",
       "Q 39.453125 66.40625 31.78125 66.40625 \n",
       "z\n",
       "M 31.78125 74.21875 \n",
       "Q 44.046875 74.21875 50.515625 64.515625 \n",
       "Q 56.984375 54.828125 56.984375 36.375 \n",
       "Q 56.984375 17.96875 50.515625 8.265625 \n",
       "Q 44.046875 -1.421875 31.78125 -1.421875 \n",
       "Q 19.53125 -1.421875 13.0625 8.265625 \n",
       "Q 6.59375 17.96875 6.59375 36.375 \n",
       "Q 6.59375 54.828125 13.0625 64.515625 \n",
       "Q 19.53125 74.21875 31.78125 74.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-48\"/>\n",
       "        <path d=\"M 10.6875 12.40625 \n",
       "L 21 12.40625 \n",
       "L 21 0 \n",
       "L 10.6875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-46\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_2\">\n",
       "     <g id=\"line2d_9\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m23eca37fb0\" y=\"212.006593\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_10\">\n",
       "      <!-- 0.005 -->\n",
       "      <g transform=\"translate(18.371875 215.805811)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_3\">\n",
       "     <g id=\"line2d_10\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m23eca37fb0\" y=\"176.367548\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_11\">\n",
       "      <!-- 0.010 -->\n",
       "      <g transform=\"translate(18.371875 180.166766)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_4\">\n",
       "     <g id=\"line2d_11\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m23eca37fb0\" y=\"140.728503\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_12\">\n",
       "      <!-- 0.015 -->\n",
       "      <g transform=\"translate(18.371875 144.527721)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_5\">\n",
       "     <g id=\"line2d_12\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m23eca37fb0\" y=\"105.089458\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_13\">\n",
       "      <!-- 0.020 -->\n",
       "      <g transform=\"translate(18.371875 108.888676)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_6\">\n",
       "     <g id=\"line2d_13\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m23eca37fb0\" y=\"69.450413\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_14\">\n",
       "      <!-- 0.025 -->\n",
       "      <g transform=\"translate(18.371875 73.249631)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_15\">\n",
       "     <!-- Counts/sec/keV -->\n",
       "     <g transform=\"translate(12.292187 181.743281)rotate(-90)scale(0.1 -0.1)\">\n",
       "      <defs>\n",
       "       <path d=\"M 64.40625 67.28125 \n",
       "L 64.40625 56.890625 \n",
       "Q 59.421875 61.53125 53.78125 63.8125 \n",
       "Q 48.140625 66.109375 41.796875 66.109375 \n",
       "Q 29.296875 66.109375 22.65625 58.46875 \n",
       "Q 16.015625 50.828125 16.015625 36.375 \n",
       "Q 16.015625 21.96875 22.65625 14.328125 \n",
       "Q 29.296875 6.6875 41.796875 6.6875 \n",
       "Q 48.140625 6.6875 53.78125 8.984375 \n",
       "Q 59.421875 11.28125 64.40625 15.921875 \n",
       "L 64.40625 5.609375 \n",
       "Q 59.234375 2.09375 53.4375 0.328125 \n",
       "Q 47.65625 -1.421875 41.21875 -1.421875 \n",
       "Q 24.65625 -1.421875 15.125 8.703125 \n",
       "Q 5.609375 18.84375 5.609375 36.375 \n",
       "Q 5.609375 53.953125 15.125 64.078125 \n",
       "Q 24.65625 74.21875 41.21875 74.21875 \n",
       "Q 47.75 74.21875 53.53125 72.484375 \n",
       "Q 59.328125 70.75 64.40625 67.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-67\"/>\n",
       "       <path d=\"M 30.609375 48.390625 \n",
       "Q 23.390625 48.390625 19.1875 42.75 \n",
       "Q 14.984375 37.109375 14.984375 27.296875 \n",
       "Q 14.984375 17.484375 19.15625 11.84375 \n",
       "Q 23.34375 6.203125 30.609375 6.203125 \n",
       "Q 37.796875 6.203125 41.984375 11.859375 \n",
       "Q 46.1875 17.53125 46.1875 27.296875 \n",
       "Q 46.1875 37.015625 41.984375 42.703125 \n",
       "Q 37.796875 48.390625 30.609375 48.390625 \n",
       "z\n",
       "M 30.609375 56 \n",
       "Q 42.328125 56 49.015625 48.375 \n",
       "Q 55.71875 40.765625 55.71875 27.296875 \n",
       "Q 55.71875 13.875 49.015625 6.21875 \n",
       "Q 42.328125 -1.421875 30.609375 -1.421875 \n",
       "Q 18.84375 -1.421875 12.171875 6.21875 \n",
       "Q 5.515625 13.875 5.515625 27.296875 \n",
       "Q 5.515625 40.765625 12.171875 48.375 \n",
       "Q 18.84375 56 30.609375 56 \n",
       "z\n",
       "\" id=\"DejaVuSans-111\"/>\n",
       "       <path d=\"M 8.5 21.578125 \n",
       "L 8.5 54.6875 \n",
       "L 17.484375 54.6875 \n",
       "L 17.484375 21.921875 \n",
       "Q 17.484375 14.15625 20.5 10.265625 \n",
       "Q 23.53125 6.390625 29.59375 6.390625 \n",
       "Q 36.859375 6.390625 41.078125 11.03125 \n",
       "Q 45.3125 15.671875 45.3125 23.6875 \n",
       "L 45.3125 54.6875 \n",
       "L 54.296875 54.6875 \n",
       "L 54.296875 0 \n",
       "L 45.3125 0 \n",
       "L 45.3125 8.40625 \n",
       "Q 42.046875 3.421875 37.71875 1 \n",
       "Q 33.40625 -1.421875 27.6875 -1.421875 \n",
       "Q 18.265625 -1.421875 13.375 4.4375 \n",
       "Q 8.5 10.296875 8.5 21.578125 \n",
       "z\n",
       "M 31.109375 56 \n",
       "z\n",
       "\" id=\"DejaVuSans-117\"/>\n",
       "       <path d=\"M 18.3125 70.21875 \n",
       "L 18.3125 54.6875 \n",
       "L 36.8125 54.6875 \n",
       "L 36.8125 47.703125 \n",
       "L 18.3125 47.703125 \n",
       "L 18.3125 18.015625 \n",
       "Q 18.3125 11.328125 20.140625 9.421875 \n",
       "Q 21.96875 7.515625 27.59375 7.515625 \n",
       "L 36.8125 7.515625 \n",
       "L 36.8125 0 \n",
       "L 27.59375 0 \n",
       "Q 17.1875 0 13.234375 3.875 \n",
       "Q 9.28125 7.765625 9.28125 18.015625 \n",
       "L 9.28125 47.703125 \n",
       "L 2.6875 47.703125 \n",
       "L 2.6875 54.6875 \n",
       "L 9.28125 54.6875 \n",
       "L 9.28125 70.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-116\"/>\n",
       "       <path d=\"M 44.28125 53.078125 \n",
       "L 44.28125 44.578125 \n",
       "Q 40.484375 46.53125 36.375 47.5 \n",
       "Q 32.28125 48.484375 27.875 48.484375 \n",
       "Q 21.1875 48.484375 17.84375 46.4375 \n",
       "Q 14.5 44.390625 14.5 40.28125 \n",
       "Q 14.5 37.15625 16.890625 35.375 \n",
       "Q 19.28125 33.59375 26.515625 31.984375 \n",
       "L 29.59375 31.296875 \n",
       "Q 39.15625 29.25 43.1875 25.515625 \n",
       "Q 47.21875 21.78125 47.21875 15.09375 \n",
       "Q 47.21875 7.46875 41.1875 3.015625 \n",
       "Q 35.15625 -1.421875 24.609375 -1.421875 \n",
       "Q 20.21875 -1.421875 15.453125 -0.5625 \n",
       "Q 10.6875 0.296875 5.421875 2 \n",
       "L 5.421875 11.28125 \n",
       "Q 10.40625 8.6875 15.234375 7.390625 \n",
       "Q 20.0625 6.109375 24.8125 6.109375 \n",
       "Q 31.15625 6.109375 34.5625 8.28125 \n",
       "Q 37.984375 10.453125 37.984375 14.40625 \n",
       "Q 37.984375 18.0625 35.515625 20.015625 \n",
       "Q 33.0625 21.96875 24.703125 23.78125 \n",
       "L 21.578125 24.515625 \n",
       "Q 13.234375 26.265625 9.515625 29.90625 \n",
       "Q 5.8125 33.546875 5.8125 39.890625 \n",
       "Q 5.8125 47.609375 11.28125 51.796875 \n",
       "Q 16.75 56 26.8125 56 \n",
       "Q 31.78125 56 36.171875 55.265625 \n",
       "Q 40.578125 54.546875 44.28125 53.078125 \n",
       "z\n",
       "\" id=\"DejaVuSans-115\"/>\n",
       "       <path d=\"M 25.390625 72.90625 \n",
       "L 33.6875 72.90625 \n",
       "L 8.296875 -9.28125 \n",
       "L 0 -9.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-47\"/>\n",
       "       <path d=\"M 48.78125 52.59375 \n",
       "L 48.78125 44.1875 \n",
       "Q 44.96875 46.296875 41.140625 47.34375 \n",
       "Q 37.3125 48.390625 33.40625 48.390625 \n",
       "Q 24.65625 48.390625 19.8125 42.84375 \n",
       "Q 14.984375 37.3125 14.984375 27.296875 \n",
       "Q 14.984375 17.28125 19.8125 11.734375 \n",
       "Q 24.65625 6.203125 33.40625 6.203125 \n",
       "Q 37.3125 6.203125 41.140625 7.25 \n",
       "Q 44.96875 8.296875 48.78125 10.40625 \n",
       "L 48.78125 2.09375 \n",
       "Q 45.015625 0.34375 40.984375 -0.53125 \n",
       "Q 36.96875 -1.421875 32.421875 -1.421875 \n",
       "Q 20.0625 -1.421875 12.78125 6.34375 \n",
       "Q 5.515625 14.109375 5.515625 27.296875 \n",
       "Q 5.515625 40.671875 12.859375 48.328125 \n",
       "Q 20.21875 56 33.015625 56 \n",
       "Q 37.15625 56 41.109375 55.140625 \n",
       "Q 45.0625 54.296875 48.78125 52.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-99\"/>\n",
       "      </defs>\n",
       "      <use xlink:href=\"#DejaVuSans-67\"/>\n",
       "      <use x=\"69.824219\" xlink:href=\"#DejaVuSans-111\"/>\n",
       "      <use x=\"131.005859\" xlink:href=\"#DejaVuSans-117\"/>\n",
       "      <use x=\"194.384766\" xlink:href=\"#DejaVuSans-110\"/>\n",
       "      <use x=\"257.763672\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "      <use x=\"296.972656\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "      <use x=\"349.072266\" xlink:href=\"#DejaVuSans-47\"/>\n",
       "      <use x=\"382.763672\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "      <use x=\"434.863281\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"496.386719\" xlink:href=\"#DejaVuSans-99\"/>\n",
       "      <use x=\"551.367188\" xlink:href=\"#DejaVuSans-47\"/>\n",
       "      <use x=\"585.058594\" xlink:href=\"#DejaVuSans-107\"/>\n",
       "      <use x=\"639.34375\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"700.867188\" xlink:href=\"#DejaVuSans-86\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_14\"/>\n",
       "   <g id=\"line2d_15\">\n",
       "    <defs>\n",
       "     <path d=\"M 0 1.5 \n",
       "C 0.397805 1.5 0.77937 1.341951 1.06066 1.06066 \n",
       "C 1.341951 0.77937 1.5 0.397805 1.5 0 \n",
       "C 1.5 -0.397805 1.341951 -0.77937 1.06066 -1.06066 \n",
       "C 0.77937 -1.341951 0.397805 -1.5 0 -1.5 \n",
       "C -0.397805 -1.5 -0.77937 -1.341951 -1.06066 -1.06066 \n",
       "C -1.341951 -0.77937 -1.5 -0.397805 -1.5 0 \n",
       "C -1.5 0.397805 -1.341951 0.77937 -1.06066 1.06066 \n",
       "C -0.77937 1.341951 -0.397805 1.5 0 1.5 \n",
       "z\n",
       "\" id=\"m9e093a659e\" style=\"stroke:#1f77b4;\"/>\n",
       "    </defs>\n",
       "    <g clip-path=\"url(#p0ff4c90da3)\">\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"70.583041\" xlink:href=\"#m9e093a659e\" y=\"199.264456\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"72.971544\" xlink:href=\"#m9e093a659e\" y=\"176.686595\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"75.360049\" xlink:href=\"#m9e093a659e\" y=\"196.845448\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"77.748553\" xlink:href=\"#m9e093a659e\" y=\"170.235773\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"79.795842\" xlink:href=\"#m9e093a659e\" y=\"157.334129\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"81.501917\" xlink:href=\"#m9e093a659e\" y=\"136.369033\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"83.207991\" xlink:href=\"#m9e093a659e\" y=\"157.334129\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"84.914066\" xlink:href=\"#m9e093a659e\" y=\"112.178466\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"86.278924\" xlink:href=\"#m9e093a659e\" y=\"117.016313\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"87.643783\" xlink:href=\"#m9e093a659e\" y=\"117.01658\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"89.008643\" xlink:href=\"#m9e093a659e\" y=\"117.01658\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"90.373502\" xlink:href=\"#m9e093a659e\" y=\"117.016313\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"91.738361\" xlink:href=\"#m9e093a659e\" y=\"117.01658\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"93.10322\" xlink:href=\"#m9e093a659e\" y=\"102.501944\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"94.46808\" xlink:href=\"#m9e093a659e\" y=\"92.826329\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"95.83294\" xlink:href=\"#m9e093a659e\" y=\"78.311328\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"97.197798\" xlink:href=\"#m9e093a659e\" y=\"102.501944\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"98.562658\" xlink:href=\"#m9e093a659e\" y=\"83.150123\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"99.586302\" xlink:href=\"#m9e093a659e\" y=\"54.119922\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"100.609947\" xlink:href=\"#m9e093a659e\" y=\"92.826329\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"101.974807\" xlink:href=\"#m9e093a659e\" y=\"58.958835\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"102.998451\" xlink:href=\"#m9e093a659e\" y=\"54.121502\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"104.022096\" xlink:href=\"#m9e093a659e\" y=\"107.340067\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"105.386956\" xlink:href=\"#m9e093a659e\" y=\"136.36926\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"106.751816\" xlink:href=\"#m9e093a659e\" y=\"150.883175\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"108.116674\" xlink:href=\"#m9e093a659e\" y=\"83.149451\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"109.481534\" xlink:href=\"#m9e093a659e\" y=\"102.502536\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"110.846394\" xlink:href=\"#m9e093a659e\" y=\"92.825697\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"112.211251\" xlink:href=\"#m9e093a659e\" y=\"107.340067\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"113.576112\" xlink:href=\"#m9e093a659e\" y=\"146.045467\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"114.599756\" xlink:href=\"#m9e093a659e\" y=\"44.443636\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"115.623401\" xlink:href=\"#m9e093a659e\" y=\"136.36926\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"117.329476\" xlink:href=\"#m9e093a659e\" y=\"141.207073\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"119.376765\" xlink:href=\"#m9e093a659e\" y=\"160.55954\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"121.082839\" xlink:href=\"#m9e093a659e\" y=\"141.206929\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"122.788912\" xlink:href=\"#m9e093a659e\" y=\"163.784951\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"124.836201\" xlink:href=\"#m9e093a659e\" y=\"179.912006\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"126.542276\" xlink:href=\"#m9e093a659e\" y=\"150.88357\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"128.589565\" xlink:href=\"#m9e093a659e\" y=\"196.845345\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"130.978067\" xlink:href=\"#m9e093a659e\" y=\"179.912006\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"133.366572\" xlink:href=\"#m9e093a659e\" y=\"199.264505\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"136.437505\" xlink:href=\"#m9e093a659e\" y=\"197.329198\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"139.849652\" xlink:href=\"#m9e093a659e\" y=\"193.458703\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"143.944229\" xlink:href=\"#m9e093a659e\" y=\"215.852313\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"148.721239\" xlink:href=\"#m9e093a659e\" y=\"219.999268\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"152.815816\" xlink:href=\"#m9e093a659e\" y=\"208.940684\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"157.934041\" xlink:href=\"#m9e093a659e\" y=\"228.293192\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"163.734698\" xlink:href=\"#m9e093a659e\" y=\"218.61695\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"169.876565\" xlink:href=\"#m9e093a659e\" y=\"230.052482\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"175.677216\" xlink:href=\"#m9e093a659e\" y=\"208.940705\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"181.477867\" xlink:href=\"#m9e093a659e\" y=\"230.052482\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"187.960949\" xlink:href=\"#m9e093a659e\" y=\"221.036015\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"193.420384\" xlink:href=\"#m9e093a659e\" y=\"223.455022\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"198.879819\" xlink:href=\"#m9e093a659e\" y=\"222.245543\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"205.704118\" xlink:href=\"#m9e093a659e\" y=\"231.518582\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"214.91692\" xlink:href=\"#m9e093a659e\" y=\"234.744\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"224.129723\" xlink:href=\"#m9e093a659e\" y=\"229.905877\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"234.366162\" xlink:href=\"#m9e093a659e\" y=\"236.356689\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"245.626254\" xlink:href=\"#m9e093a659e\" y=\"234.744014\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"257.568777\" xlink:href=\"#m9e093a659e\" y=\"237.485587\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"271.899794\" xlink:href=\"#m9e093a659e\" y=\"238.409231\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"286.913253\" xlink:href=\"#m9e093a659e\" y=\"238.849073\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"301.244281\" xlink:href=\"#m9e093a659e\" y=\"237.969399\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"319.328665\" xlink:href=\"#m9e093a659e\" y=\"241.781255\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"340.142775\" xlink:href=\"#m9e093a659e\" y=\"240.734045\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"359.250801\" xlink:href=\"#m9e093a659e\" y=\"240.734037\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"371.193314\" xlink:href=\"#m9e093a659e\" y=\"242.116364\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 54 252 \n",
       "L 54 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 388.8 252 \n",
       "L 388.8 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 54 252 \n",
       "L 388.8 252 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 54 34.56 \n",
       "L 388.8 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_16\">\n",
       "    <!-- data/acisf04938_000N002_r0043_pha3.fits -->\n",
       "    <g transform=\"translate(92.495625 28.56)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 45.40625 46.390625 \n",
       "L 45.40625 75.984375 \n",
       "L 54.390625 75.984375 \n",
       "L 54.390625 0 \n",
       "L 45.40625 0 \n",
       "L 45.40625 8.203125 \n",
       "Q 42.578125 3.328125 38.25 0.953125 \n",
       "Q 33.9375 -1.421875 27.875 -1.421875 \n",
       "Q 17.96875 -1.421875 11.734375 6.484375 \n",
       "Q 5.515625 14.40625 5.515625 27.296875 \n",
       "Q 5.515625 40.1875 11.734375 48.09375 \n",
       "Q 17.96875 56 27.875 56 \n",
       "Q 33.9375 56 38.25 53.625 \n",
       "Q 42.578125 51.265625 45.40625 46.390625 \n",
       "z\n",
       "M 14.796875 27.296875 \n",
       "Q 14.796875 17.390625 18.875 11.75 \n",
       "Q 22.953125 6.109375 30.078125 6.109375 \n",
       "Q 37.203125 6.109375 41.296875 11.75 \n",
       "Q 45.40625 17.390625 45.40625 27.296875 \n",
       "Q 45.40625 37.203125 41.296875 42.84375 \n",
       "Q 37.203125 48.484375 30.078125 48.484375 \n",
       "Q 22.953125 48.484375 18.875 42.84375 \n",
       "Q 14.796875 37.203125 14.796875 27.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-100\"/>\n",
       "      <path d=\"M 34.28125 27.484375 \n",
       "Q 23.390625 27.484375 19.1875 25 \n",
       "Q 14.984375 22.515625 14.984375 16.5 \n",
       "Q 14.984375 11.71875 18.140625 8.90625 \n",
       "Q 21.296875 6.109375 26.703125 6.109375 \n",
       "Q 34.1875 6.109375 38.703125 11.40625 \n",
       "Q 43.21875 16.703125 43.21875 25.484375 \n",
       "L 43.21875 27.484375 \n",
       "z\n",
       "M 52.203125 31.203125 \n",
       "L 52.203125 0 \n",
       "L 43.21875 0 \n",
       "L 43.21875 8.296875 \n",
       "Q 40.140625 3.328125 35.546875 0.953125 \n",
       "Q 30.953125 -1.421875 24.3125 -1.421875 \n",
       "Q 15.921875 -1.421875 10.953125 3.296875 \n",
       "Q 6 8.015625 6 15.921875 \n",
       "Q 6 25.140625 12.171875 29.828125 \n",
       "Q 18.359375 34.515625 30.609375 34.515625 \n",
       "L 43.21875 34.515625 \n",
       "L 43.21875 35.40625 \n",
       "Q 43.21875 41.609375 39.140625 45 \n",
       "Q 35.0625 48.390625 27.6875 48.390625 \n",
       "Q 23 48.390625 18.546875 47.265625 \n",
       "Q 14.109375 46.140625 10.015625 43.890625 \n",
       "L 10.015625 52.203125 \n",
       "Q 14.9375 54.109375 19.578125 55.046875 \n",
       "Q 24.21875 56 28.609375 56 \n",
       "Q 40.484375 56 46.34375 49.84375 \n",
       "Q 52.203125 43.703125 52.203125 31.203125 \n",
       "z\n",
       "\" id=\"DejaVuSans-97\"/>\n",
       "      <path d=\"M 9.421875 54.6875 \n",
       "L 18.40625 54.6875 \n",
       "L 18.40625 0 \n",
       "L 9.421875 0 \n",
       "z\n",
       "M 9.421875 75.984375 \n",
       "L 18.40625 75.984375 \n",
       "L 18.40625 64.59375 \n",
       "L 9.421875 64.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-105\"/>\n",
       "      <path d=\"M 37.109375 75.984375 \n",
       "L 37.109375 68.5 \n",
       "L 28.515625 68.5 \n",
       "Q 23.6875 68.5 21.796875 66.546875 \n",
       "Q 19.921875 64.59375 19.921875 59.515625 \n",
       "L 19.921875 54.6875 \n",
       "L 34.71875 54.6875 \n",
       "L 34.71875 47.703125 \n",
       "L 19.921875 47.703125 \n",
       "L 19.921875 0 \n",
       "L 10.890625 0 \n",
       "L 10.890625 47.703125 \n",
       "L 2.296875 47.703125 \n",
       "L 2.296875 54.6875 \n",
       "L 10.890625 54.6875 \n",
       "L 10.890625 58.5 \n",
       "Q 10.890625 67.625 15.140625 71.796875 \n",
       "Q 19.390625 75.984375 28.609375 75.984375 \n",
       "z\n",
       "\" id=\"DejaVuSans-102\"/>\n",
       "      <path d=\"M 10.984375 1.515625 \n",
       "L 10.984375 10.5 \n",
       "Q 14.703125 8.734375 18.5 7.8125 \n",
       "Q 22.3125 6.890625 25.984375 6.890625 \n",
       "Q 35.75 6.890625 40.890625 13.453125 \n",
       "Q 46.046875 20.015625 46.78125 33.40625 \n",
       "Q 43.953125 29.203125 39.59375 26.953125 \n",
       "Q 35.25 24.703125 29.984375 24.703125 \n",
       "Q 19.046875 24.703125 12.671875 31.3125 \n",
       "Q 6.296875 37.9375 6.296875 49.421875 \n",
       "Q 6.296875 60.640625 12.9375 67.421875 \n",
       "Q 19.578125 74.21875 30.609375 74.21875 \n",
       "Q 43.265625 74.21875 49.921875 64.515625 \n",
       "Q 56.59375 54.828125 56.59375 36.375 \n",
       "Q 56.59375 19.140625 48.40625 8.859375 \n",
       "Q 40.234375 -1.421875 26.421875 -1.421875 \n",
       "Q 22.703125 -1.421875 18.890625 -0.6875 \n",
       "Q 15.09375 0.046875 10.984375 1.515625 \n",
       "z\n",
       "M 30.609375 32.421875 \n",
       "Q 37.25 32.421875 41.125 36.953125 \n",
       "Q 45.015625 41.5 45.015625 49.421875 \n",
       "Q 45.015625 57.28125 41.125 61.84375 \n",
       "Q 37.25 66.40625 30.609375 66.40625 \n",
       "Q 23.96875 66.40625 20.09375 61.84375 \n",
       "Q 16.21875 57.28125 16.21875 49.421875 \n",
       "Q 16.21875 41.5 20.09375 36.953125 \n",
       "Q 23.96875 32.421875 30.609375 32.421875 \n",
       "z\n",
       "\" id=\"DejaVuSans-57\"/>\n",
       "      <path d=\"M 31.78125 34.625 \n",
       "Q 24.75 34.625 20.71875 30.859375 \n",
       "Q 16.703125 27.09375 16.703125 20.515625 \n",
       "Q 16.703125 13.921875 20.71875 10.15625 \n",
       "Q 24.75 6.390625 31.78125 6.390625 \n",
       "Q 38.8125 6.390625 42.859375 10.171875 \n",
       "Q 46.921875 13.96875 46.921875 20.515625 \n",
       "Q 46.921875 27.09375 42.890625 30.859375 \n",
       "Q 38.875 34.625 31.78125 34.625 \n",
       "z\n",
       "M 21.921875 38.8125 \n",
       "Q 15.578125 40.375 12.03125 44.71875 \n",
       "Q 8.5 49.078125 8.5 55.328125 \n",
       "Q 8.5 64.0625 14.71875 69.140625 \n",
       "Q 20.953125 74.21875 31.78125 74.21875 \n",
       "Q 42.671875 74.21875 48.875 69.140625 \n",
       "Q 55.078125 64.0625 55.078125 55.328125 \n",
       "Q 55.078125 49.078125 51.53125 44.71875 \n",
       "Q 48 40.375 41.703125 38.8125 \n",
       "Q 48.828125 37.15625 52.796875 32.3125 \n",
       "Q 56.78125 27.484375 56.78125 20.515625 \n",
       "Q 56.78125 9.90625 50.3125 4.234375 \n",
       "Q 43.84375 -1.421875 31.78125 -1.421875 \n",
       "Q 19.734375 -1.421875 13.25 4.234375 \n",
       "Q 6.78125 9.90625 6.78125 20.515625 \n",
       "Q 6.78125 27.484375 10.78125 32.3125 \n",
       "Q 14.796875 37.15625 21.921875 38.8125 \n",
       "z\n",
       "M 18.3125 54.390625 \n",
       "Q 18.3125 48.734375 21.84375 45.5625 \n",
       "Q 25.390625 42.390625 31.78125 42.390625 \n",
       "Q 38.140625 42.390625 41.71875 45.5625 \n",
       "Q 45.3125 48.734375 45.3125 54.390625 \n",
       "Q 45.3125 60.0625 41.71875 63.234375 \n",
       "Q 38.140625 66.40625 31.78125 66.40625 \n",
       "Q 25.390625 66.40625 21.84375 63.234375 \n",
       "Q 18.3125 60.0625 18.3125 54.390625 \n",
       "z\n",
       "\" id=\"DejaVuSans-56\"/>\n",
       "      <path d=\"M 50.984375 -16.609375 \n",
       "L 50.984375 -23.578125 \n",
       "L -0.984375 -23.578125 \n",
       "L -0.984375 -16.609375 \n",
       "z\n",
       "\" id=\"DejaVuSans-95\"/>\n",
       "      <path d=\"M 9.8125 72.90625 \n",
       "L 23.09375 72.90625 \n",
       "L 55.421875 11.921875 \n",
       "L 55.421875 72.90625 \n",
       "L 64.984375 72.90625 \n",
       "L 64.984375 0 \n",
       "L 51.703125 0 \n",
       "L 19.390625 60.984375 \n",
       "L 19.390625 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-78\"/>\n",
       "      <path d=\"M 18.109375 8.203125 \n",
       "L 18.109375 -20.796875 \n",
       "L 9.078125 -20.796875 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.390625 \n",
       "Q 20.953125 51.265625 25.265625 53.625 \n",
       "Q 29.59375 56 35.59375 56 \n",
       "Q 45.5625 56 51.78125 48.09375 \n",
       "Q 58.015625 40.1875 58.015625 27.296875 \n",
       "Q 58.015625 14.40625 51.78125 6.484375 \n",
       "Q 45.5625 -1.421875 35.59375 -1.421875 \n",
       "Q 29.59375 -1.421875 25.265625 0.953125 \n",
       "Q 20.953125 3.328125 18.109375 8.203125 \n",
       "z\n",
       "M 48.6875 27.296875 \n",
       "Q 48.6875 37.203125 44.609375 42.84375 \n",
       "Q 40.53125 48.484375 33.40625 48.484375 \n",
       "Q 26.265625 48.484375 22.1875 42.84375 \n",
       "Q 18.109375 37.203125 18.109375 27.296875 \n",
       "Q 18.109375 17.390625 22.1875 11.75 \n",
       "Q 26.265625 6.109375 33.40625 6.109375 \n",
       "Q 40.53125 6.109375 44.609375 11.75 \n",
       "Q 48.6875 17.390625 48.6875 27.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-112\"/>\n",
       "      <path d=\"M 54.890625 33.015625 \n",
       "L 54.890625 0 \n",
       "L 45.90625 0 \n",
       "L 45.90625 32.71875 \n",
       "Q 45.90625 40.484375 42.875 44.328125 \n",
       "Q 39.84375 48.1875 33.796875 48.1875 \n",
       "Q 26.515625 48.1875 22.3125 43.546875 \n",
       "Q 18.109375 38.921875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 75.984375 \n",
       "L 18.109375 75.984375 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.34375 51.125 25.703125 53.5625 \n",
       "Q 30.078125 56 35.796875 56 \n",
       "Q 45.21875 56 50.046875 50.171875 \n",
       "Q 54.890625 44.34375 54.890625 33.015625 \n",
       "z\n",
       "\" id=\"DejaVuSans-104\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-100\"/>\n",
       "     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"124.755859\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "     <use x=\"163.964844\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"225.244141\" xlink:href=\"#DejaVuSans-47\"/>\n",
       "     <use x=\"258.935547\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"320.214844\" xlink:href=\"#DejaVuSans-99\"/>\n",
       "     <use x=\"375.195312\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"402.978516\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "     <use x=\"455.078125\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"490.283203\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"553.90625\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "     <use x=\"617.529297\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "     <use x=\"681.152344\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"744.775391\" xlink:href=\"#DejaVuSans-56\"/>\n",
       "     <use x=\"808.398438\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"858.398438\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"922.021484\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"985.644531\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1049.267578\" xlink:href=\"#DejaVuSans-78\"/>\n",
       "     <use x=\"1124.072266\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1187.695312\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1251.318359\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "     <use x=\"1314.941406\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"1364.941406\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"1406.054688\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1469.677734\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1533.300781\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "     <use x=\"1596.923828\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"1660.546875\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"1710.546875\" xlink:href=\"#DejaVuSans-112\"/>\n",
       "     <use x=\"1774.023438\" xlink:href=\"#DejaVuSans-104\"/>\n",
       "     <use x=\"1837.402344\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"1898.681641\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"1962.304688\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "     <use x=\"1994.091797\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"2029.296875\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"2057.080078\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "     <use x=\"2096.289062\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"p0ff4c90da3\">\n",
       "   <rect height=\"217.44\" width=\"334.8\" x=\"54\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n",
       "</details></div><details open><summary>Summary (8)</summary><div class=\"datavals\"><div class=\"dataname\">Identifier</div><div class=\"dataval\">data/acisf04938_000N002_r0043_pha3.fits</div><div class=\"dataname\">Exposure</div><div class=\"dataval\">50454.2 s</div><div class=\"dataname\">Number of bins</div><div class=\"dataval\">1024</div><div class=\"dataname\">Channel range</div><div class=\"dataval\">1 - 1024</div><div class=\"dataname\">Count range</div><div class=\"dataval\">0.0 - 23.0</div><div class=\"dataname\">Background</div><div class=\"dataval\">Not subtracted</div><div class=\"dataname\">Grouping</div><div class=\"dataval\">Applied (645 groups)</div><div class=\"dataname\">Using</div><div class=\"dataval\">0.5256-6.9569 Energy (keV) with 67 groups</div></div></details><details><summary>Metadata (8)</summary><div class=\"datavals\"><div class=\"dataname\">Mission or Satellite</div><div class=\"dataval\">CHANDRA</div><div class=\"dataname\">Instrument or Detector</div><div class=\"dataval\">ACIS</div><div class=\"dataname\">Object</div><div class=\"dataval\">CSC</div><div class=\"dataname\">Observation date</div><div class=\"dataval\">2005-05-03T13:18:52</div><div class=\"dataname\">Program that created the PHA</div><div class=\"dataval\">dmextract - Version CAT 2.7</div><div class=\"dataname\">The channel type</div><div class=\"dataval\">PI</div><div class=\"dataname\">Data stored</div><div class=\"dataval\">TOTAL</div><div class=\"dataname\">Data format</div><div class=\"dataval\">COUNT</div></div></details></div>"
      ],
      "text/plain": [
       "<DataPHA data set instance 'data/acisf04938_000N002_r0043_pha3.fits'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "organizational-strip",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;DataPHA data set instance &#x27;data/acisf04938_000N002_r0043_pha3.fits&#x27;&gt;</div><div hidden class=\"sherpa\"><style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;sherpa.astro.plot.DataPHAPlot object at 0x7fdb4225c970&gt;</div><div hidden class=\"sherpa\"><details open><summary>PHA Plot</summary><svg height=\"288pt\" version=\"1.1\" viewBox=\"0 0 432 288\" width=\"432pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <metadata>\n",
       "  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
       "   <cc:Work>\n",
       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
       "    <dc:date>2021-08-27T11:37:11.510347</dc:date>\n",
       "    <dc:format>image/svg+xml</dc:format>\n",
       "    <dc:creator>\n",
       "     <cc:Agent>\n",
       "      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n",
       "     </cc:Agent>\n",
       "    </dc:creator>\n",
       "   </cc:Work>\n",
       "  </rdf:RDF>\n",
       " </metadata>\n",
       " <defs>\n",
       "  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 288 \n",
       "L 432 288 \n",
       "L 432 0 \n",
       "L 0 0 \n",
       "z\n",
       "\" style=\"fill:none;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g id=\"patch_2\">\n",
       "    <path d=\"M 54 252 \n",
       "L 388.8 252 \n",
       "L 388.8 34.56 \n",
       "L 54 34.56 \n",
       "z\n",
       "\" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_1\">\n",
       "    <g id=\"xtick_1\">\n",
       "     <g id=\"line2d_1\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L 0 3.5 \n",
       "\" id=\"me9016be6bd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"92.757332\" xlink:href=\"#me9016be6bd\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_1\">\n",
       "      <!-- 1 -->\n",
       "      <g transform=\"translate(89.576082 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 12.40625 8.296875 \n",
       "L 28.515625 8.296875 \n",
       "L 28.515625 63.921875 \n",
       "L 10.984375 60.40625 \n",
       "L 10.984375 69.390625 \n",
       "L 28.421875 72.90625 \n",
       "L 38.28125 72.90625 \n",
       "L 38.28125 8.296875 \n",
       "L 54.390625 8.296875 \n",
       "L 54.390625 0 \n",
       "L 12.40625 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-49\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_2\">\n",
       "     <g id=\"line2d_2\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"139.499091\" xlink:href=\"#me9016be6bd\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_2\">\n",
       "      <!-- 2 -->\n",
       "      <g transform=\"translate(136.317841 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 19.1875 8.296875 \n",
       "L 53.609375 8.296875 \n",
       "L 53.609375 0 \n",
       "L 7.328125 0 \n",
       "L 7.328125 8.296875 \n",
       "Q 12.9375 14.109375 22.625 23.890625 \n",
       "Q 32.328125 33.6875 34.8125 36.53125 \n",
       "Q 39.546875 41.84375 41.421875 45.53125 \n",
       "Q 43.3125 49.21875 43.3125 52.78125 \n",
       "Q 43.3125 58.59375 39.234375 62.25 \n",
       "Q 35.15625 65.921875 28.609375 65.921875 \n",
       "Q 23.96875 65.921875 18.8125 64.3125 \n",
       "Q 13.671875 62.703125 7.8125 59.421875 \n",
       "L 7.8125 69.390625 \n",
       "Q 13.765625 71.78125 18.9375 73 \n",
       "Q 24.125 74.21875 28.421875 74.21875 \n",
       "Q 39.75 74.21875 46.484375 68.546875 \n",
       "Q 53.21875 62.890625 53.21875 53.421875 \n",
       "Q 53.21875 48.921875 51.53125 44.890625 \n",
       "Q 49.859375 40.875 45.40625 35.40625 \n",
       "Q 44.1875 33.984375 37.640625 27.21875 \n",
       "Q 31.109375 20.453125 19.1875 8.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-50\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_3\">\n",
       "     <g id=\"line2d_3\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"186.240851\" xlink:href=\"#me9016be6bd\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_3\">\n",
       "      <!-- 3 -->\n",
       "      <g transform=\"translate(183.059601 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 40.578125 39.3125 \n",
       "Q 47.65625 37.796875 51.625 33 \n",
       "Q 55.609375 28.21875 55.609375 21.1875 \n",
       "Q 55.609375 10.40625 48.1875 4.484375 \n",
       "Q 40.765625 -1.421875 27.09375 -1.421875 \n",
       "Q 22.515625 -1.421875 17.65625 -0.515625 \n",
       "Q 12.796875 0.390625 7.625 2.203125 \n",
       "L 7.625 11.71875 \n",
       "Q 11.71875 9.328125 16.59375 8.109375 \n",
       "Q 21.484375 6.890625 26.8125 6.890625 \n",
       "Q 36.078125 6.890625 40.9375 10.546875 \n",
       "Q 45.796875 14.203125 45.796875 21.1875 \n",
       "Q 45.796875 27.640625 41.28125 31.265625 \n",
       "Q 36.765625 34.90625 28.71875 34.90625 \n",
       "L 20.21875 34.90625 \n",
       "L 20.21875 43.015625 \n",
       "L 29.109375 43.015625 \n",
       "Q 36.375 43.015625 40.234375 45.921875 \n",
       "Q 44.09375 48.828125 44.09375 54.296875 \n",
       "Q 44.09375 59.90625 40.109375 62.90625 \n",
       "Q 36.140625 65.921875 28.71875 65.921875 \n",
       "Q 24.65625 65.921875 20.015625 65.03125 \n",
       "Q 15.375 64.15625 9.8125 62.3125 \n",
       "L 9.8125 71.09375 \n",
       "Q 15.4375 72.65625 20.34375 73.4375 \n",
       "Q 25.25 74.21875 29.59375 74.21875 \n",
       "Q 40.828125 74.21875 47.359375 69.109375 \n",
       "Q 53.90625 64.015625 53.90625 55.328125 \n",
       "Q 53.90625 49.265625 50.4375 45.09375 \n",
       "Q 46.96875 40.921875 40.578125 39.3125 \n",
       "z\n",
       "\" id=\"DejaVuSans-51\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-51\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_4\">\n",
       "     <g id=\"line2d_4\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"232.98261\" xlink:href=\"#me9016be6bd\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_4\">\n",
       "      <!-- 4 -->\n",
       "      <g transform=\"translate(229.80136 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 37.796875 64.3125 \n",
       "L 12.890625 25.390625 \n",
       "L 37.796875 25.390625 \n",
       "z\n",
       "M 35.203125 72.90625 \n",
       "L 47.609375 72.90625 \n",
       "L 47.609375 25.390625 \n",
       "L 58.015625 25.390625 \n",
       "L 58.015625 17.1875 \n",
       "L 47.609375 17.1875 \n",
       "L 47.609375 0 \n",
       "L 37.796875 0 \n",
       "L 37.796875 17.1875 \n",
       "L 4.890625 17.1875 \n",
       "L 4.890625 26.703125 \n",
       "z\n",
       "\" id=\"DejaVuSans-52\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_5\">\n",
       "     <g id=\"line2d_5\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"279.72437\" xlink:href=\"#me9016be6bd\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_5\">\n",
       "      <!-- 5 -->\n",
       "      <g transform=\"translate(276.54312 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 10.796875 72.90625 \n",
       "L 49.515625 72.90625 \n",
       "L 49.515625 64.59375 \n",
       "L 19.828125 64.59375 \n",
       "L 19.828125 46.734375 \n",
       "Q 21.96875 47.46875 24.109375 47.828125 \n",
       "Q 26.265625 48.1875 28.421875 48.1875 \n",
       "Q 40.625 48.1875 47.75 41.5 \n",
       "Q 54.890625 34.8125 54.890625 23.390625 \n",
       "Q 54.890625 11.625 47.5625 5.09375 \n",
       "Q 40.234375 -1.421875 26.90625 -1.421875 \n",
       "Q 22.3125 -1.421875 17.546875 -0.640625 \n",
       "Q 12.796875 0.140625 7.71875 1.703125 \n",
       "L 7.71875 11.625 \n",
       "Q 12.109375 9.234375 16.796875 8.0625 \n",
       "Q 21.484375 6.890625 26.703125 6.890625 \n",
       "Q 35.15625 6.890625 40.078125 11.328125 \n",
       "Q 45.015625 15.765625 45.015625 23.390625 \n",
       "Q 45.015625 31 40.078125 35.4375 \n",
       "Q 35.15625 39.890625 26.703125 39.890625 \n",
       "Q 22.75 39.890625 18.8125 39.015625 \n",
       "Q 14.890625 38.140625 10.796875 36.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-53\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_6\">\n",
       "     <g id=\"line2d_6\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"326.466129\" xlink:href=\"#me9016be6bd\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_6\">\n",
       "      <!-- 6 -->\n",
       "      <g transform=\"translate(323.284879 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 33.015625 40.375 \n",
       "Q 26.375 40.375 22.484375 35.828125 \n",
       "Q 18.609375 31.296875 18.609375 23.390625 \n",
       "Q 18.609375 15.53125 22.484375 10.953125 \n",
       "Q 26.375 6.390625 33.015625 6.390625 \n",
       "Q 39.65625 6.390625 43.53125 10.953125 \n",
       "Q 47.40625 15.53125 47.40625 23.390625 \n",
       "Q 47.40625 31.296875 43.53125 35.828125 \n",
       "Q 39.65625 40.375 33.015625 40.375 \n",
       "z\n",
       "M 52.59375 71.296875 \n",
       "L 52.59375 62.3125 \n",
       "Q 48.875 64.0625 45.09375 64.984375 \n",
       "Q 41.3125 65.921875 37.59375 65.921875 \n",
       "Q 27.828125 65.921875 22.671875 59.328125 \n",
       "Q 17.53125 52.734375 16.796875 39.40625 \n",
       "Q 19.671875 43.65625 24.015625 45.921875 \n",
       "Q 28.375 48.1875 33.59375 48.1875 \n",
       "Q 44.578125 48.1875 50.953125 41.515625 \n",
       "Q 57.328125 34.859375 57.328125 23.390625 \n",
       "Q 57.328125 12.15625 50.6875 5.359375 \n",
       "Q 44.046875 -1.421875 33.015625 -1.421875 \n",
       "Q 20.359375 -1.421875 13.671875 8.265625 \n",
       "Q 6.984375 17.96875 6.984375 36.375 \n",
       "Q 6.984375 53.65625 15.1875 63.9375 \n",
       "Q 23.390625 74.21875 37.203125 74.21875 \n",
       "Q 40.921875 74.21875 44.703125 73.484375 \n",
       "Q 48.484375 72.75 52.59375 71.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-54\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_7\">\n",
       "     <g id=\"line2d_7\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"373.207889\" xlink:href=\"#me9016be6bd\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_7\">\n",
       "      <!-- 7 -->\n",
       "      <g transform=\"translate(370.026639 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 8.203125 72.90625 \n",
       "L 55.078125 72.90625 \n",
       "L 55.078125 68.703125 \n",
       "L 28.609375 0 \n",
       "L 18.3125 0 \n",
       "L 43.21875 64.59375 \n",
       "L 8.203125 64.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-55\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-55\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_8\">\n",
       "     <!-- Energy (keV) -->\n",
       "     <g transform=\"translate(189.192187 280.276563)scale(0.1 -0.1)\">\n",
       "      <defs>\n",
       "       <path d=\"M 9.8125 72.90625 \n",
       "L 55.90625 72.90625 \n",
       "L 55.90625 64.59375 \n",
       "L 19.671875 64.59375 \n",
       "L 19.671875 43.015625 \n",
       "L 54.390625 43.015625 \n",
       "L 54.390625 34.71875 \n",
       "L 19.671875 34.71875 \n",
       "L 19.671875 8.296875 \n",
       "L 56.78125 8.296875 \n",
       "L 56.78125 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-69\"/>\n",
       "       <path d=\"M 54.890625 33.015625 \n",
       "L 54.890625 0 \n",
       "L 45.90625 0 \n",
       "L 45.90625 32.71875 \n",
       "Q 45.90625 40.484375 42.875 44.328125 \n",
       "Q 39.84375 48.1875 33.796875 48.1875 \n",
       "Q 26.515625 48.1875 22.3125 43.546875 \n",
       "Q 18.109375 38.921875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.34375 51.125 25.703125 53.5625 \n",
       "Q 30.078125 56 35.796875 56 \n",
       "Q 45.21875 56 50.046875 50.171875 \n",
       "Q 54.890625 44.34375 54.890625 33.015625 \n",
       "z\n",
       "\" id=\"DejaVuSans-110\"/>\n",
       "       <path d=\"M 56.203125 29.59375 \n",
       "L 56.203125 25.203125 \n",
       "L 14.890625 25.203125 \n",
       "Q 15.484375 15.921875 20.484375 11.0625 \n",
       "Q 25.484375 6.203125 34.421875 6.203125 \n",
       "Q 39.59375 6.203125 44.453125 7.46875 \n",
       "Q 49.3125 8.734375 54.109375 11.28125 \n",
       "L 54.109375 2.78125 \n",
       "Q 49.265625 0.734375 44.1875 -0.34375 \n",
       "Q 39.109375 -1.421875 33.890625 -1.421875 \n",
       "Q 20.796875 -1.421875 13.15625 6.1875 \n",
       "Q 5.515625 13.8125 5.515625 26.8125 \n",
       "Q 5.515625 40.234375 12.765625 48.109375 \n",
       "Q 20.015625 56 32.328125 56 \n",
       "Q 43.359375 56 49.78125 48.890625 \n",
       "Q 56.203125 41.796875 56.203125 29.59375 \n",
       "z\n",
       "M 47.21875 32.234375 \n",
       "Q 47.125 39.59375 43.09375 43.984375 \n",
       "Q 39.0625 48.390625 32.421875 48.390625 \n",
       "Q 24.90625 48.390625 20.390625 44.140625 \n",
       "Q 15.875 39.890625 15.1875 32.171875 \n",
       "z\n",
       "\" id=\"DejaVuSans-101\"/>\n",
       "       <path d=\"M 41.109375 46.296875 \n",
       "Q 39.59375 47.171875 37.8125 47.578125 \n",
       "Q 36.03125 48 33.890625 48 \n",
       "Q 26.265625 48 22.1875 43.046875 \n",
       "Q 18.109375 38.09375 18.109375 28.8125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 20.953125 51.171875 25.484375 53.578125 \n",
       "Q 30.03125 56 36.53125 56 \n",
       "Q 37.453125 56 38.578125 55.875 \n",
       "Q 39.703125 55.765625 41.0625 55.515625 \n",
       "z\n",
       "\" id=\"DejaVuSans-114\"/>\n",
       "       <path d=\"M 45.40625 27.984375 \n",
       "Q 45.40625 37.75 41.375 43.109375 \n",
       "Q 37.359375 48.484375 30.078125 48.484375 \n",
       "Q 22.859375 48.484375 18.828125 43.109375 \n",
       "Q 14.796875 37.75 14.796875 27.984375 \n",
       "Q 14.796875 18.265625 18.828125 12.890625 \n",
       "Q 22.859375 7.515625 30.078125 7.515625 \n",
       "Q 37.359375 7.515625 41.375 12.890625 \n",
       "Q 45.40625 18.265625 45.40625 27.984375 \n",
       "z\n",
       "M 54.390625 6.78125 \n",
       "Q 54.390625 -7.171875 48.1875 -13.984375 \n",
       "Q 42 -20.796875 29.203125 -20.796875 \n",
       "Q 24.46875 -20.796875 20.265625 -20.09375 \n",
       "Q 16.0625 -19.390625 12.109375 -17.921875 \n",
       "L 12.109375 -9.1875 \n",
       "Q 16.0625 -11.328125 19.921875 -12.34375 \n",
       "Q 23.78125 -13.375 27.78125 -13.375 \n",
       "Q 36.625 -13.375 41.015625 -8.765625 \n",
       "Q 45.40625 -4.15625 45.40625 5.171875 \n",
       "L 45.40625 9.625 \n",
       "Q 42.625 4.78125 38.28125 2.390625 \n",
       "Q 33.9375 0 27.875 0 \n",
       "Q 17.828125 0 11.671875 7.65625 \n",
       "Q 5.515625 15.328125 5.515625 27.984375 \n",
       "Q 5.515625 40.671875 11.671875 48.328125 \n",
       "Q 17.828125 56 27.875 56 \n",
       "Q 33.9375 56 38.28125 53.609375 \n",
       "Q 42.625 51.21875 45.40625 46.390625 \n",
       "L 45.40625 54.6875 \n",
       "L 54.390625 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-103\"/>\n",
       "       <path d=\"M 32.171875 -5.078125 \n",
       "Q 28.375 -14.84375 24.75 -17.8125 \n",
       "Q 21.140625 -20.796875 15.09375 -20.796875 \n",
       "L 7.90625 -20.796875 \n",
       "L 7.90625 -13.28125 \n",
       "L 13.1875 -13.28125 \n",
       "Q 16.890625 -13.28125 18.9375 -11.515625 \n",
       "Q 21 -9.765625 23.484375 -3.21875 \n",
       "L 25.09375 0.875 \n",
       "L 2.984375 54.6875 \n",
       "L 12.5 54.6875 \n",
       "L 29.59375 11.921875 \n",
       "L 46.6875 54.6875 \n",
       "L 56.203125 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-121\"/>\n",
       "       <path id=\"DejaVuSans-32\"/>\n",
       "       <path d=\"M 31 75.875 \n",
       "Q 24.46875 64.65625 21.28125 53.65625 \n",
       "Q 18.109375 42.671875 18.109375 31.390625 \n",
       "Q 18.109375 20.125 21.3125 9.0625 \n",
       "Q 24.515625 -2 31 -13.1875 \n",
       "L 23.1875 -13.1875 \n",
       "Q 15.875 -1.703125 12.234375 9.375 \n",
       "Q 8.59375 20.453125 8.59375 31.390625 \n",
       "Q 8.59375 42.28125 12.203125 53.3125 \n",
       "Q 15.828125 64.359375 23.1875 75.875 \n",
       "z\n",
       "\" id=\"DejaVuSans-40\"/>\n",
       "       <path d=\"M 9.078125 75.984375 \n",
       "L 18.109375 75.984375 \n",
       "L 18.109375 31.109375 \n",
       "L 44.921875 54.6875 \n",
       "L 56.390625 54.6875 \n",
       "L 27.390625 29.109375 \n",
       "L 57.625 0 \n",
       "L 45.90625 0 \n",
       "L 18.109375 26.703125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-107\"/>\n",
       "       <path d=\"M 28.609375 0 \n",
       "L 0.78125 72.90625 \n",
       "L 11.078125 72.90625 \n",
       "L 34.1875 11.53125 \n",
       "L 57.328125 72.90625 \n",
       "L 67.578125 72.90625 \n",
       "L 39.796875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-86\"/>\n",
       "       <path d=\"M 8.015625 75.875 \n",
       "L 15.828125 75.875 \n",
       "Q 23.140625 64.359375 26.78125 53.3125 \n",
       "Q 30.421875 42.28125 30.421875 31.390625 \n",
       "Q 30.421875 20.453125 26.78125 9.375 \n",
       "Q 23.140625 -1.703125 15.828125 -13.1875 \n",
       "L 8.015625 -13.1875 \n",
       "Q 14.5 -2 17.703125 9.0625 \n",
       "Q 20.90625 20.125 20.90625 31.390625 \n",
       "Q 20.90625 42.671875 17.703125 53.65625 \n",
       "Q 14.5 64.65625 8.015625 75.875 \n",
       "z\n",
       "\" id=\"DejaVuSans-41\"/>\n",
       "      </defs>\n",
       "      <use xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-110\"/>\n",
       "      <use x=\"126.5625\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"188.085938\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "      <use x=\"227.449219\" xlink:href=\"#DejaVuSans-103\"/>\n",
       "      <use x=\"290.925781\" xlink:href=\"#DejaVuSans-121\"/>\n",
       "      <use x=\"350.105469\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "      <use x=\"381.892578\" xlink:href=\"#DejaVuSans-40\"/>\n",
       "      <use x=\"420.90625\" xlink:href=\"#DejaVuSans-107\"/>\n",
       "      <use x=\"475.191406\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"536.714844\" xlink:href=\"#DejaVuSans-86\"/>\n",
       "      <use x=\"605.123047\" xlink:href=\"#DejaVuSans-41\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_2\">\n",
       "    <g id=\"ytick_1\">\n",
       "     <g id=\"line2d_8\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L -3.5 0 \n",
       "\" id=\"mfee268be5c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mfee268be5c\" y=\"245.928561\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_9\">\n",
       "      <!-- 0.005 -->\n",
       "      <g transform=\"translate(18.371875 249.72778)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 31.78125 66.40625 \n",
       "Q 24.171875 66.40625 20.328125 58.90625 \n",
       "Q 16.5 51.421875 16.5 36.375 \n",
       "Q 16.5 21.390625 20.328125 13.890625 \n",
       "Q 24.171875 6.390625 31.78125 6.390625 \n",
       "Q 39.453125 6.390625 43.28125 13.890625 \n",
       "Q 47.125 21.390625 47.125 36.375 \n",
       "Q 47.125 51.421875 43.28125 58.90625 \n",
       "Q 39.453125 66.40625 31.78125 66.40625 \n",
       "z\n",
       "M 31.78125 74.21875 \n",
       "Q 44.046875 74.21875 50.515625 64.515625 \n",
       "Q 56.984375 54.828125 56.984375 36.375 \n",
       "Q 56.984375 17.96875 50.515625 8.265625 \n",
       "Q 44.046875 -1.421875 31.78125 -1.421875 \n",
       "Q 19.53125 -1.421875 13.0625 8.265625 \n",
       "Q 6.59375 17.96875 6.59375 36.375 \n",
       "Q 6.59375 54.828125 13.0625 64.515625 \n",
       "Q 19.53125 74.21875 31.78125 74.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-48\"/>\n",
       "        <path d=\"M 10.6875 12.40625 \n",
       "L 21 12.40625 \n",
       "L 21 0 \n",
       "L 10.6875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-46\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_2\">\n",
       "     <g id=\"line2d_9\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mfee268be5c\" y=\"218.762226\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_10\">\n",
       "      <!-- 0.010 -->\n",
       "      <g transform=\"translate(18.371875 222.561445)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_3\">\n",
       "     <g id=\"line2d_10\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mfee268be5c\" y=\"191.595892\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_11\">\n",
       "      <!-- 0.015 -->\n",
       "      <g transform=\"translate(18.371875 195.39511)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_4\">\n",
       "     <g id=\"line2d_11\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mfee268be5c\" y=\"164.429557\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_12\">\n",
       "      <!-- 0.020 -->\n",
       "      <g transform=\"translate(18.371875 168.228776)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_5\">\n",
       "     <g id=\"line2d_12\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mfee268be5c\" y=\"137.263222\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_13\">\n",
       "      <!-- 0.025 -->\n",
       "      <g transform=\"translate(18.371875 141.062441)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_6\">\n",
       "     <g id=\"line2d_13\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mfee268be5c\" y=\"110.096887\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_14\">\n",
       "      <!-- 0.030 -->\n",
       "      <g transform=\"translate(18.371875 113.896106)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_7\">\n",
       "     <g id=\"line2d_14\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mfee268be5c\" y=\"82.930552\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_15\">\n",
       "      <!-- 0.035 -->\n",
       "      <g transform=\"translate(18.371875 86.729771)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-53\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_8\">\n",
       "     <g id=\"line2d_15\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mfee268be5c\" y=\"55.764217\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_16\">\n",
       "      <!-- 0.040 -->\n",
       "      <g transform=\"translate(18.371875 59.563436)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_17\">\n",
       "     <!-- Counts/sec/keV -->\n",
       "     <g transform=\"translate(12.292187 181.743281)rotate(-90)scale(0.1 -0.1)\">\n",
       "      <defs>\n",
       "       <path d=\"M 64.40625 67.28125 \n",
       "L 64.40625 56.890625 \n",
       "Q 59.421875 61.53125 53.78125 63.8125 \n",
       "Q 48.140625 66.109375 41.796875 66.109375 \n",
       "Q 29.296875 66.109375 22.65625 58.46875 \n",
       "Q 16.015625 50.828125 16.015625 36.375 \n",
       "Q 16.015625 21.96875 22.65625 14.328125 \n",
       "Q 29.296875 6.6875 41.796875 6.6875 \n",
       "Q 48.140625 6.6875 53.78125 8.984375 \n",
       "Q 59.421875 11.28125 64.40625 15.921875 \n",
       "L 64.40625 5.609375 \n",
       "Q 59.234375 2.09375 53.4375 0.328125 \n",
       "Q 47.65625 -1.421875 41.21875 -1.421875 \n",
       "Q 24.65625 -1.421875 15.125 8.703125 \n",
       "Q 5.609375 18.84375 5.609375 36.375 \n",
       "Q 5.609375 53.953125 15.125 64.078125 \n",
       "Q 24.65625 74.21875 41.21875 74.21875 \n",
       "Q 47.75 74.21875 53.53125 72.484375 \n",
       "Q 59.328125 70.75 64.40625 67.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-67\"/>\n",
       "       <path d=\"M 30.609375 48.390625 \n",
       "Q 23.390625 48.390625 19.1875 42.75 \n",
       "Q 14.984375 37.109375 14.984375 27.296875 \n",
       "Q 14.984375 17.484375 19.15625 11.84375 \n",
       "Q 23.34375 6.203125 30.609375 6.203125 \n",
       "Q 37.796875 6.203125 41.984375 11.859375 \n",
       "Q 46.1875 17.53125 46.1875 27.296875 \n",
       "Q 46.1875 37.015625 41.984375 42.703125 \n",
       "Q 37.796875 48.390625 30.609375 48.390625 \n",
       "z\n",
       "M 30.609375 56 \n",
       "Q 42.328125 56 49.015625 48.375 \n",
       "Q 55.71875 40.765625 55.71875 27.296875 \n",
       "Q 55.71875 13.875 49.015625 6.21875 \n",
       "Q 42.328125 -1.421875 30.609375 -1.421875 \n",
       "Q 18.84375 -1.421875 12.171875 6.21875 \n",
       "Q 5.515625 13.875 5.515625 27.296875 \n",
       "Q 5.515625 40.765625 12.171875 48.375 \n",
       "Q 18.84375 56 30.609375 56 \n",
       "z\n",
       "\" id=\"DejaVuSans-111\"/>\n",
       "       <path d=\"M 8.5 21.578125 \n",
       "L 8.5 54.6875 \n",
       "L 17.484375 54.6875 \n",
       "L 17.484375 21.921875 \n",
       "Q 17.484375 14.15625 20.5 10.265625 \n",
       "Q 23.53125 6.390625 29.59375 6.390625 \n",
       "Q 36.859375 6.390625 41.078125 11.03125 \n",
       "Q 45.3125 15.671875 45.3125 23.6875 \n",
       "L 45.3125 54.6875 \n",
       "L 54.296875 54.6875 \n",
       "L 54.296875 0 \n",
       "L 45.3125 0 \n",
       "L 45.3125 8.40625 \n",
       "Q 42.046875 3.421875 37.71875 1 \n",
       "Q 33.40625 -1.421875 27.6875 -1.421875 \n",
       "Q 18.265625 -1.421875 13.375 4.4375 \n",
       "Q 8.5 10.296875 8.5 21.578125 \n",
       "z\n",
       "M 31.109375 56 \n",
       "z\n",
       "\" id=\"DejaVuSans-117\"/>\n",
       "       <path d=\"M 18.3125 70.21875 \n",
       "L 18.3125 54.6875 \n",
       "L 36.8125 54.6875 \n",
       "L 36.8125 47.703125 \n",
       "L 18.3125 47.703125 \n",
       "L 18.3125 18.015625 \n",
       "Q 18.3125 11.328125 20.140625 9.421875 \n",
       "Q 21.96875 7.515625 27.59375 7.515625 \n",
       "L 36.8125 7.515625 \n",
       "L 36.8125 0 \n",
       "L 27.59375 0 \n",
       "Q 17.1875 0 13.234375 3.875 \n",
       "Q 9.28125 7.765625 9.28125 18.015625 \n",
       "L 9.28125 47.703125 \n",
       "L 2.6875 47.703125 \n",
       "L 2.6875 54.6875 \n",
       "L 9.28125 54.6875 \n",
       "L 9.28125 70.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-116\"/>\n",
       "       <path d=\"M 44.28125 53.078125 \n",
       "L 44.28125 44.578125 \n",
       "Q 40.484375 46.53125 36.375 47.5 \n",
       "Q 32.28125 48.484375 27.875 48.484375 \n",
       "Q 21.1875 48.484375 17.84375 46.4375 \n",
       "Q 14.5 44.390625 14.5 40.28125 \n",
       "Q 14.5 37.15625 16.890625 35.375 \n",
       "Q 19.28125 33.59375 26.515625 31.984375 \n",
       "L 29.59375 31.296875 \n",
       "Q 39.15625 29.25 43.1875 25.515625 \n",
       "Q 47.21875 21.78125 47.21875 15.09375 \n",
       "Q 47.21875 7.46875 41.1875 3.015625 \n",
       "Q 35.15625 -1.421875 24.609375 -1.421875 \n",
       "Q 20.21875 -1.421875 15.453125 -0.5625 \n",
       "Q 10.6875 0.296875 5.421875 2 \n",
       "L 5.421875 11.28125 \n",
       "Q 10.40625 8.6875 15.234375 7.390625 \n",
       "Q 20.0625 6.109375 24.8125 6.109375 \n",
       "Q 31.15625 6.109375 34.5625 8.28125 \n",
       "Q 37.984375 10.453125 37.984375 14.40625 \n",
       "Q 37.984375 18.0625 35.515625 20.015625 \n",
       "Q 33.0625 21.96875 24.703125 23.78125 \n",
       "L 21.578125 24.515625 \n",
       "Q 13.234375 26.265625 9.515625 29.90625 \n",
       "Q 5.8125 33.546875 5.8125 39.890625 \n",
       "Q 5.8125 47.609375 11.28125 51.796875 \n",
       "Q 16.75 56 26.8125 56 \n",
       "Q 31.78125 56 36.171875 55.265625 \n",
       "Q 40.578125 54.546875 44.28125 53.078125 \n",
       "z\n",
       "\" id=\"DejaVuSans-115\"/>\n",
       "       <path d=\"M 25.390625 72.90625 \n",
       "L 33.6875 72.90625 \n",
       "L 8.296875 -9.28125 \n",
       "L 0 -9.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-47\"/>\n",
       "       <path d=\"M 48.78125 52.59375 \n",
       "L 48.78125 44.1875 \n",
       "Q 44.96875 46.296875 41.140625 47.34375 \n",
       "Q 37.3125 48.390625 33.40625 48.390625 \n",
       "Q 24.65625 48.390625 19.8125 42.84375 \n",
       "Q 14.984375 37.3125 14.984375 27.296875 \n",
       "Q 14.984375 17.28125 19.8125 11.734375 \n",
       "Q 24.65625 6.203125 33.40625 6.203125 \n",
       "Q 37.3125 6.203125 41.140625 7.25 \n",
       "Q 44.96875 8.296875 48.78125 10.40625 \n",
       "L 48.78125 2.09375 \n",
       "Q 45.015625 0.34375 40.984375 -0.53125 \n",
       "Q 36.96875 -1.421875 32.421875 -1.421875 \n",
       "Q 20.0625 -1.421875 12.78125 6.34375 \n",
       "Q 5.515625 14.109375 5.515625 27.296875 \n",
       "Q 5.515625 40.671875 12.859375 48.328125 \n",
       "Q 20.21875 56 33.015625 56 \n",
       "Q 37.15625 56 41.109375 55.140625 \n",
       "Q 45.0625 54.296875 48.78125 52.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-99\"/>\n",
       "      </defs>\n",
       "      <use xlink:href=\"#DejaVuSans-67\"/>\n",
       "      <use x=\"69.824219\" xlink:href=\"#DejaVuSans-111\"/>\n",
       "      <use x=\"131.005859\" xlink:href=\"#DejaVuSans-117\"/>\n",
       "      <use x=\"194.384766\" xlink:href=\"#DejaVuSans-110\"/>\n",
       "      <use x=\"257.763672\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "      <use x=\"296.972656\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "      <use x=\"349.072266\" xlink:href=\"#DejaVuSans-47\"/>\n",
       "      <use x=\"382.763672\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "      <use x=\"434.863281\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"496.386719\" xlink:href=\"#DejaVuSans-99\"/>\n",
       "      <use x=\"551.367188\" xlink:href=\"#DejaVuSans-47\"/>\n",
       "      <use x=\"585.058594\" xlink:href=\"#DejaVuSans-107\"/>\n",
       "      <use x=\"639.34375\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"700.867188\" xlink:href=\"#DejaVuSans-86\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_16\"/>\n",
       "   <g id=\"line2d_17\">\n",
       "    <defs>\n",
       "     <path d=\"M 0 1.5 \n",
       "C 0.397805 1.5 0.77937 1.341951 1.06066 1.06066 \n",
       "C 1.341951 0.77937 1.5 0.397805 1.5 0 \n",
       "C 1.5 -0.397805 1.341951 -0.77937 1.06066 -1.06066 \n",
       "C 0.77937 -1.341951 0.397805 -1.5 0 -1.5 \n",
       "C -0.397805 -1.5 -0.77937 -1.341951 -1.06066 -1.06066 \n",
       "C -1.341951 -0.77937 -1.5 -0.397805 -1.5 0 \n",
       "C -1.5 0.397805 -1.341951 0.77937 -1.06066 1.06066 \n",
       "C -0.77937 1.341951 -0.397805 1.5 0 1.5 \n",
       "z\n",
       "\" id=\"mcc65ef1dc2\" style=\"stroke:#1f77b4;\"/>\n",
       "    </defs>\n",
       "    <g clip-path=\"url(#p4a7e76ab81)\">\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"69.559396\" xlink:href=\"#mcc65ef1dc2\" y=\"118.202107\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"70.583041\" xlink:href=\"#mcc65ef1dc2\" y=\"144.017836\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"71.606685\" xlink:href=\"#mcc65ef1dc2\" y=\"110.82626\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"72.63033\" xlink:href=\"#mcc65ef1dc2\" y=\"140.32992\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"73.99519\" xlink:href=\"#mcc65ef1dc2\" y=\"162.457416\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"75.018834\" xlink:href=\"#mcc65ef1dc2\" y=\"44.443636\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"75.701264\" xlink:href=\"#mcc65ef1dc2\" y=\"125.578557\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"76.383694\" xlink:href=\"#mcc65ef1dc2\" y=\"88.698719\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"77.407339\" xlink:href=\"#mcc65ef1dc2\" y=\"151.393668\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"78.772198\" xlink:href=\"#mcc65ef1dc2\" y=\"169.833037\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"80.137056\" xlink:href=\"#mcc65ef1dc2\" y=\"199.336576\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"81.501917\" xlink:href=\"#mcc65ef1dc2\" y=\"173.521164\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"82.866775\" xlink:href=\"#mcc65ef1dc2\" y=\"158.769266\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"84.231634\" xlink:href=\"#mcc65ef1dc2\" y=\"158.7695\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"85.596494\" xlink:href=\"#mcc65ef1dc2\" y=\"173.521164\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"86.961355\" xlink:href=\"#mcc65ef1dc2\" y=\"151.393668\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"88.326213\" xlink:href=\"#mcc65ef1dc2\" y=\"169.833037\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"89.691072\" xlink:href=\"#mcc65ef1dc2\" y=\"151.393668\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"91.055932\" xlink:href=\"#mcc65ef1dc2\" y=\"136.642004\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"92.420793\" xlink:href=\"#mcc65ef1dc2\" y=\"180.896996\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"93.785651\" xlink:href=\"#mcc65ef1dc2\" y=\"166.145113\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"95.150509\" xlink:href=\"#mcc65ef1dc2\" y=\"155.081343\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"96.515369\" xlink:href=\"#mcc65ef1dc2\" y=\"184.585092\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"97.880229\" xlink:href=\"#mcc65ef1dc2\" y=\"195.648502\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"99.245087\" xlink:href=\"#mcc65ef1dc2\" y=\"144.017572\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"100.609947\" xlink:href=\"#mcc65ef1dc2\" y=\"199.336726\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"101.633591\" xlink:href=\"#mcc65ef1dc2\" y=\"125.577352\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"102.998451\" xlink:href=\"#mcc65ef1dc2\" y=\"221.464177\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"104.704527\" xlink:href=\"#mcc65ef1dc2\" y=\"158.769266\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"106.069385\" xlink:href=\"#mcc65ef1dc2\" y=\"195.648502\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"107.434245\" xlink:href=\"#mcc65ef1dc2\" y=\"195.648818\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"108.799105\" xlink:href=\"#mcc65ef1dc2\" y=\"191.960578\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"110.505178\" xlink:href=\"#mcc65ef1dc2\" y=\"204.25375\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"112.211251\" xlink:href=\"#mcc65ef1dc2\" y=\"191.960578\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"113.576112\" xlink:href=\"#mcc65ef1dc2\" y=\"162.457641\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"114.940972\" xlink:href=\"#mcc65ef1dc2\" y=\"173.52096\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"116.305829\" xlink:href=\"#mcc65ef1dc2\" y=\"162.45719\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"117.329474\" xlink:href=\"#mcc65ef1dc2\" y=\"110.826923\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"118.353118\" xlink:href=\"#mcc65ef1dc2\" y=\"199.336425\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"119.717978\" xlink:href=\"#mcc65ef1dc2\" y=\"199.336726\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"121.424054\" xlink:href=\"#mcc65ef1dc2\" y=\"211.629587\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"123.130127\" xlink:href=\"#mcc65ef1dc2\" y=\"188.272655\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"124.494988\" xlink:href=\"#mcc65ef1dc2\" y=\"180.897184\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"126.201064\" xlink:href=\"#mcc65ef1dc2\" y=\"196.877913\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"127.907137\" xlink:href=\"#mcc65ef1dc2\" y=\"173.52096\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"129.271994\" xlink:href=\"#mcc65ef1dc2\" y=\"155.081343\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"130.978067\" xlink:href=\"#mcc65ef1dc2\" y=\"201.795138\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"132.684143\" xlink:href=\"#mcc65ef1dc2\" y=\"199.336726\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"134.390219\" xlink:href=\"#mcc65ef1dc2\" y=\"201.795138\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"136.096292\" xlink:href=\"#mcc65ef1dc2\" y=\"199.336425\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"137.46115\" xlink:href=\"#mcc65ef1dc2\" y=\"177.208884\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"138.82601\" xlink:href=\"#mcc65ef1dc2\" y=\"195.648818\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"140.190873\" xlink:href=\"#mcc65ef1dc2\" y=\"162.457641\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"141.55573\" xlink:href=\"#mcc65ef1dc2\" y=\"166.144677\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"142.920588\" xlink:href=\"#mcc65ef1dc2\" y=\"188.273001\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"143.944235\" xlink:href=\"#mcc65ef1dc2\" y=\"125.578557\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"144.626666\" xlink:href=\"#mcc65ef1dc2\" y=\"96.075289\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"145.650308\" xlink:href=\"#mcc65ef1dc2\" y=\"144.017045\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"146.67395\" xlink:href=\"#mcc65ef1dc2\" y=\"103.451106\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"147.356381\" xlink:href=\"#mcc65ef1dc2\" y=\"110.826923\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"148.380028\" xlink:href=\"#mcc65ef1dc2\" y=\"162.457641\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"149.40367\" xlink:href=\"#mcc65ef1dc2\" y=\"125.576148\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"150.427312\" xlink:href=\"#mcc65ef1dc2\" y=\"188.273001\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"151.792175\" xlink:href=\"#mcc65ef1dc2\" y=\"180.897184\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"153.498248\" xlink:href=\"#mcc65ef1dc2\" y=\"211.62942\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"155.545537\" xlink:href=\"#mcc65ef1dc2\" y=\"216.546966\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"157.592826\" xlink:href=\"#mcc65ef1dc2\" y=\"219.005277\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"159.640115\" xlink:href=\"#mcc65ef1dc2\" y=\"191.960909\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"161.687403\" xlink:href=\"#mcc65ef1dc2\" y=\"223.922515\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"163.734692\" xlink:href=\"#mcc65ef1dc2\" y=\"214.08836\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"166.123197\" xlink:href=\"#mcc65ef1dc2\" y=\"225.15189\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"168.511702\" xlink:href=\"#mcc65ef1dc2\" y=\"221.464177\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"170.558991\" xlink:href=\"#mcc65ef1dc2\" y=\"209.170801\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"172.606279\" xlink:href=\"#mcc65ef1dc2\" y=\"221.464177\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"174.653568\" xlink:href=\"#mcc65ef1dc2\" y=\"221.463896\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"176.700857\" xlink:href=\"#mcc65ef1dc2\" y=\"221.464177\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"179.430578\" xlink:href=\"#mcc65ef1dc2\" y=\"237.690859\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"182.501508\" xlink:href=\"#mcc65ef1dc2\" y=\"228.839814\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"185.231229\" xlink:href=\"#mcc65ef1dc2\" y=\"223.308132\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"187.960949\" xlink:href=\"#mcc65ef1dc2\" y=\"230.683775\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"190.349454\" xlink:href=\"#mcc65ef1dc2\" y=\"223.922783\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"192.737958\" xlink:href=\"#mcc65ef1dc2\" y=\"230.683775\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"195.467673\" xlink:href=\"#mcc65ef1dc2\" y=\"232.527737\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"197.856178\" xlink:href=\"#mcc65ef1dc2\" y=\"211.629755\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"200.244682\" xlink:href=\"#mcc65ef1dc2\" y=\"225.15189\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"202.974403\" xlink:href=\"#mcc65ef1dc2\" y=\"226.99604\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"205.362907\" xlink:href=\"#mcc65ef1dc2\" y=\"221.463896\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"207.410196\" xlink:href=\"#mcc65ef1dc2\" y=\"221.464177\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"209.457485\" xlink:href=\"#mcc65ef1dc2\" y=\"209.170801\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"211.845984\" xlink:href=\"#mcc65ef1dc2\" y=\"232.527737\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"214.234489\" xlink:href=\"#mcc65ef1dc2\" y=\"214.08836\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"216.622994\" xlink:href=\"#mcc65ef1dc2\" y=\"228.839814\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"219.011498\" xlink:href=\"#mcc65ef1dc2\" y=\"223.922783\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"221.400003\" xlink:href=\"#mcc65ef1dc2\" y=\"221.463966\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"223.788507\" xlink:href=\"#mcc65ef1dc2\" y=\"211.629755\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"225.835796\" xlink:href=\"#mcc65ef1dc2\" y=\"216.546658\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"228.565511\" xlink:href=\"#mcc65ef1dc2\" y=\"237.690859\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"231.295232\" xlink:href=\"#mcc65ef1dc2\" y=\"223.922783\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"234.024957\" xlink:href=\"#mcc65ef1dc2\" y=\"237.690975\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"236.754678\" xlink:href=\"#mcc65ef1dc2\" y=\"206.712182\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"238.801961\" xlink:href=\"#mcc65ef1dc2\" y=\"201.794944\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"241.190466\" xlink:href=\"#mcc65ef1dc2\" y=\"234.371857\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"243.920181\" xlink:href=\"#mcc65ef1dc2\" y=\"230.683602\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"246.649895\" xlink:href=\"#mcc65ef1dc2\" y=\"219.620223\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"249.720832\" xlink:href=\"#mcc65ef1dc2\" y=\"242.116364\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"252.791768\" xlink:href=\"#mcc65ef1dc2\" y=\"230.683948\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"255.180272\" xlink:href=\"#mcc65ef1dc2\" y=\"221.463896\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"257.227556\" xlink:href=\"#mcc65ef1dc2\" y=\"219.005277\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"259.27485\" xlink:href=\"#mcc65ef1dc2\" y=\"221.464458\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"261.322145\" xlink:href=\"#mcc65ef1dc2\" y=\"219.005277\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"263.710649\" xlink:href=\"#mcc65ef1dc2\" y=\"232.527903\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"266.440364\" xlink:href=\"#mcc65ef1dc2\" y=\"230.683602\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"268.828858\" xlink:href=\"#mcc65ef1dc2\" y=\"219.005277\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"271.217362\" xlink:href=\"#mcc65ef1dc2\" y=\"232.527903\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"273.947088\" xlink:href=\"#mcc65ef1dc2\" y=\"223.308132\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"276.676814\" xlink:href=\"#mcc65ef1dc2\" y=\"226.99604\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"279.74775\" xlink:href=\"#mcc65ef1dc2\" y=\"240.641195\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"282.818675\" xlink:href=\"#mcc65ef1dc2\" y=\"225.151694\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"285.20718\" xlink:href=\"#mcc65ef1dc2\" y=\"223.923051\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"287.254474\" xlink:href=\"#mcc65ef1dc2\" y=\"223.922515\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"289.642968\" xlink:href=\"#mcc65ef1dc2\" y=\"234.371541\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"292.713904\" xlink:href=\"#mcc65ef1dc2\" y=\"234.740773\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"295.44363\" xlink:href=\"#mcc65ef1dc2\" y=\"214.088039\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"297.490913\" xlink:href=\"#mcc65ef1dc2\" y=\"211.62942\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"299.538197\" xlink:href=\"#mcc65ef1dc2\" y=\"209.170801\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"301.585491\" xlink:href=\"#mcc65ef1dc2\" y=\"216.547274\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"303.973996\" xlink:href=\"#mcc65ef1dc2\" y=\"230.683602\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"306.703711\" xlink:href=\"#mcc65ef1dc2\" y=\"219.620223\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"309.092215\" xlink:href=\"#mcc65ef1dc2\" y=\"219.005277\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"311.48072\" xlink:href=\"#mcc65ef1dc2\" y=\"210.400452\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"313.528014\" xlink:href=\"#mcc65ef1dc2\" y=\"191.960909\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"315.575298\" xlink:href=\"#mcc65ef1dc2\" y=\"226.995664\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"318.305012\" xlink:href=\"#mcc65ef1dc2\" y=\"230.683948\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"320.693517\" xlink:href=\"#mcc65ef1dc2\" y=\"209.170801\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"322.740812\" xlink:href=\"#mcc65ef1dc2\" y=\"223.923051\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"325.129316\" xlink:href=\"#mcc65ef1dc2\" y=\"232.527572\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"327.517821\" xlink:href=\"#mcc65ef1dc2\" y=\"221.464458\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"329.565115\" xlink:href=\"#mcc65ef1dc2\" y=\"216.546658\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"331.953609\" xlink:href=\"#mcc65ef1dc2\" y=\"230.683602\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"334.342113\" xlink:href=\"#mcc65ef1dc2\" y=\"214.088681\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"336.389408\" xlink:href=\"#mcc65ef1dc2\" y=\"223.922515\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"338.436691\" xlink:href=\"#mcc65ef1dc2\" y=\"223.922515\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"340.483986\" xlink:href=\"#mcc65ef1dc2\" y=\"221.464458\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"342.53128\" xlink:href=\"#mcc65ef1dc2\" y=\"223.922515\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"344.919774\" xlink:href=\"#mcc65ef1dc2\" y=\"228.839633\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"347.308278\" xlink:href=\"#mcc65ef1dc2\" y=\"223.923051\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"349.355573\" xlink:href=\"#mcc65ef1dc2\" y=\"214.088039\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"351.744077\" xlink:href=\"#mcc65ef1dc2\" y=\"230.683948\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"354.132582\" xlink:href=\"#mcc65ef1dc2\" y=\"216.546658\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"356.179865\" xlink:href=\"#mcc65ef1dc2\" y=\"221.463896\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"358.227149\" xlink:href=\"#mcc65ef1dc2\" y=\"223.922515\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"360.615653\" xlink:href=\"#mcc65ef1dc2\" y=\"225.152086\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"362.662948\" xlink:href=\"#mcc65ef1dc2\" y=\"173.521367\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"364.369021\" xlink:href=\"#mcc65ef1dc2\" y=\"221.463896\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"366.416304\" xlink:href=\"#mcc65ef1dc2\" y=\"216.546658\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"368.463599\" xlink:href=\"#mcc65ef1dc2\" y=\"221.464458\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"370.852103\" xlink:href=\"#mcc65ef1dc2\" y=\"228.839633\"/>\n",
       "     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"372.899387\" xlink:href=\"#mcc65ef1dc2\" y=\"221.464177\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 54 252 \n",
       "L 54 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 388.8 252 \n",
       "L 388.8 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 54 252 \n",
       "L 388.8 252 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 54 34.56 \n",
       "L 388.8 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_18\">\n",
       "    <!-- data/acisf04938_000N002_r0043_pha3.fits -->\n",
       "    <g transform=\"translate(92.495625 28.56)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 45.40625 46.390625 \n",
       "L 45.40625 75.984375 \n",
       "L 54.390625 75.984375 \n",
       "L 54.390625 0 \n",
       "L 45.40625 0 \n",
       "L 45.40625 8.203125 \n",
       "Q 42.578125 3.328125 38.25 0.953125 \n",
       "Q 33.9375 -1.421875 27.875 -1.421875 \n",
       "Q 17.96875 -1.421875 11.734375 6.484375 \n",
       "Q 5.515625 14.40625 5.515625 27.296875 \n",
       "Q 5.515625 40.1875 11.734375 48.09375 \n",
       "Q 17.96875 56 27.875 56 \n",
       "Q 33.9375 56 38.25 53.625 \n",
       "Q 42.578125 51.265625 45.40625 46.390625 \n",
       "z\n",
       "M 14.796875 27.296875 \n",
       "Q 14.796875 17.390625 18.875 11.75 \n",
       "Q 22.953125 6.109375 30.078125 6.109375 \n",
       "Q 37.203125 6.109375 41.296875 11.75 \n",
       "Q 45.40625 17.390625 45.40625 27.296875 \n",
       "Q 45.40625 37.203125 41.296875 42.84375 \n",
       "Q 37.203125 48.484375 30.078125 48.484375 \n",
       "Q 22.953125 48.484375 18.875 42.84375 \n",
       "Q 14.796875 37.203125 14.796875 27.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-100\"/>\n",
       "      <path d=\"M 34.28125 27.484375 \n",
       "Q 23.390625 27.484375 19.1875 25 \n",
       "Q 14.984375 22.515625 14.984375 16.5 \n",
       "Q 14.984375 11.71875 18.140625 8.90625 \n",
       "Q 21.296875 6.109375 26.703125 6.109375 \n",
       "Q 34.1875 6.109375 38.703125 11.40625 \n",
       "Q 43.21875 16.703125 43.21875 25.484375 \n",
       "L 43.21875 27.484375 \n",
       "z\n",
       "M 52.203125 31.203125 \n",
       "L 52.203125 0 \n",
       "L 43.21875 0 \n",
       "L 43.21875 8.296875 \n",
       "Q 40.140625 3.328125 35.546875 0.953125 \n",
       "Q 30.953125 -1.421875 24.3125 -1.421875 \n",
       "Q 15.921875 -1.421875 10.953125 3.296875 \n",
       "Q 6 8.015625 6 15.921875 \n",
       "Q 6 25.140625 12.171875 29.828125 \n",
       "Q 18.359375 34.515625 30.609375 34.515625 \n",
       "L 43.21875 34.515625 \n",
       "L 43.21875 35.40625 \n",
       "Q 43.21875 41.609375 39.140625 45 \n",
       "Q 35.0625 48.390625 27.6875 48.390625 \n",
       "Q 23 48.390625 18.546875 47.265625 \n",
       "Q 14.109375 46.140625 10.015625 43.890625 \n",
       "L 10.015625 52.203125 \n",
       "Q 14.9375 54.109375 19.578125 55.046875 \n",
       "Q 24.21875 56 28.609375 56 \n",
       "Q 40.484375 56 46.34375 49.84375 \n",
       "Q 52.203125 43.703125 52.203125 31.203125 \n",
       "z\n",
       "\" id=\"DejaVuSans-97\"/>\n",
       "      <path d=\"M 9.421875 54.6875 \n",
       "L 18.40625 54.6875 \n",
       "L 18.40625 0 \n",
       "L 9.421875 0 \n",
       "z\n",
       "M 9.421875 75.984375 \n",
       "L 18.40625 75.984375 \n",
       "L 18.40625 64.59375 \n",
       "L 9.421875 64.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-105\"/>\n",
       "      <path d=\"M 37.109375 75.984375 \n",
       "L 37.109375 68.5 \n",
       "L 28.515625 68.5 \n",
       "Q 23.6875 68.5 21.796875 66.546875 \n",
       "Q 19.921875 64.59375 19.921875 59.515625 \n",
       "L 19.921875 54.6875 \n",
       "L 34.71875 54.6875 \n",
       "L 34.71875 47.703125 \n",
       "L 19.921875 47.703125 \n",
       "L 19.921875 0 \n",
       "L 10.890625 0 \n",
       "L 10.890625 47.703125 \n",
       "L 2.296875 47.703125 \n",
       "L 2.296875 54.6875 \n",
       "L 10.890625 54.6875 \n",
       "L 10.890625 58.5 \n",
       "Q 10.890625 67.625 15.140625 71.796875 \n",
       "Q 19.390625 75.984375 28.609375 75.984375 \n",
       "z\n",
       "\" id=\"DejaVuSans-102\"/>\n",
       "      <path d=\"M 10.984375 1.515625 \n",
       "L 10.984375 10.5 \n",
       "Q 14.703125 8.734375 18.5 7.8125 \n",
       "Q 22.3125 6.890625 25.984375 6.890625 \n",
       "Q 35.75 6.890625 40.890625 13.453125 \n",
       "Q 46.046875 20.015625 46.78125 33.40625 \n",
       "Q 43.953125 29.203125 39.59375 26.953125 \n",
       "Q 35.25 24.703125 29.984375 24.703125 \n",
       "Q 19.046875 24.703125 12.671875 31.3125 \n",
       "Q 6.296875 37.9375 6.296875 49.421875 \n",
       "Q 6.296875 60.640625 12.9375 67.421875 \n",
       "Q 19.578125 74.21875 30.609375 74.21875 \n",
       "Q 43.265625 74.21875 49.921875 64.515625 \n",
       "Q 56.59375 54.828125 56.59375 36.375 \n",
       "Q 56.59375 19.140625 48.40625 8.859375 \n",
       "Q 40.234375 -1.421875 26.421875 -1.421875 \n",
       "Q 22.703125 -1.421875 18.890625 -0.6875 \n",
       "Q 15.09375 0.046875 10.984375 1.515625 \n",
       "z\n",
       "M 30.609375 32.421875 \n",
       "Q 37.25 32.421875 41.125 36.953125 \n",
       "Q 45.015625 41.5 45.015625 49.421875 \n",
       "Q 45.015625 57.28125 41.125 61.84375 \n",
       "Q 37.25 66.40625 30.609375 66.40625 \n",
       "Q 23.96875 66.40625 20.09375 61.84375 \n",
       "Q 16.21875 57.28125 16.21875 49.421875 \n",
       "Q 16.21875 41.5 20.09375 36.953125 \n",
       "Q 23.96875 32.421875 30.609375 32.421875 \n",
       "z\n",
       "\" id=\"DejaVuSans-57\"/>\n",
       "      <path d=\"M 31.78125 34.625 \n",
       "Q 24.75 34.625 20.71875 30.859375 \n",
       "Q 16.703125 27.09375 16.703125 20.515625 \n",
       "Q 16.703125 13.921875 20.71875 10.15625 \n",
       "Q 24.75 6.390625 31.78125 6.390625 \n",
       "Q 38.8125 6.390625 42.859375 10.171875 \n",
       "Q 46.921875 13.96875 46.921875 20.515625 \n",
       "Q 46.921875 27.09375 42.890625 30.859375 \n",
       "Q 38.875 34.625 31.78125 34.625 \n",
       "z\n",
       "M 21.921875 38.8125 \n",
       "Q 15.578125 40.375 12.03125 44.71875 \n",
       "Q 8.5 49.078125 8.5 55.328125 \n",
       "Q 8.5 64.0625 14.71875 69.140625 \n",
       "Q 20.953125 74.21875 31.78125 74.21875 \n",
       "Q 42.671875 74.21875 48.875 69.140625 \n",
       "Q 55.078125 64.0625 55.078125 55.328125 \n",
       "Q 55.078125 49.078125 51.53125 44.71875 \n",
       "Q 48 40.375 41.703125 38.8125 \n",
       "Q 48.828125 37.15625 52.796875 32.3125 \n",
       "Q 56.78125 27.484375 56.78125 20.515625 \n",
       "Q 56.78125 9.90625 50.3125 4.234375 \n",
       "Q 43.84375 -1.421875 31.78125 -1.421875 \n",
       "Q 19.734375 -1.421875 13.25 4.234375 \n",
       "Q 6.78125 9.90625 6.78125 20.515625 \n",
       "Q 6.78125 27.484375 10.78125 32.3125 \n",
       "Q 14.796875 37.15625 21.921875 38.8125 \n",
       "z\n",
       "M 18.3125 54.390625 \n",
       "Q 18.3125 48.734375 21.84375 45.5625 \n",
       "Q 25.390625 42.390625 31.78125 42.390625 \n",
       "Q 38.140625 42.390625 41.71875 45.5625 \n",
       "Q 45.3125 48.734375 45.3125 54.390625 \n",
       "Q 45.3125 60.0625 41.71875 63.234375 \n",
       "Q 38.140625 66.40625 31.78125 66.40625 \n",
       "Q 25.390625 66.40625 21.84375 63.234375 \n",
       "Q 18.3125 60.0625 18.3125 54.390625 \n",
       "z\n",
       "\" id=\"DejaVuSans-56\"/>\n",
       "      <path d=\"M 50.984375 -16.609375 \n",
       "L 50.984375 -23.578125 \n",
       "L -0.984375 -23.578125 \n",
       "L -0.984375 -16.609375 \n",
       "z\n",
       "\" id=\"DejaVuSans-95\"/>\n",
       "      <path d=\"M 9.8125 72.90625 \n",
       "L 23.09375 72.90625 \n",
       "L 55.421875 11.921875 \n",
       "L 55.421875 72.90625 \n",
       "L 64.984375 72.90625 \n",
       "L 64.984375 0 \n",
       "L 51.703125 0 \n",
       "L 19.390625 60.984375 \n",
       "L 19.390625 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-78\"/>\n",
       "      <path d=\"M 18.109375 8.203125 \n",
       "L 18.109375 -20.796875 \n",
       "L 9.078125 -20.796875 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.390625 \n",
       "Q 20.953125 51.265625 25.265625 53.625 \n",
       "Q 29.59375 56 35.59375 56 \n",
       "Q 45.5625 56 51.78125 48.09375 \n",
       "Q 58.015625 40.1875 58.015625 27.296875 \n",
       "Q 58.015625 14.40625 51.78125 6.484375 \n",
       "Q 45.5625 -1.421875 35.59375 -1.421875 \n",
       "Q 29.59375 -1.421875 25.265625 0.953125 \n",
       "Q 20.953125 3.328125 18.109375 8.203125 \n",
       "z\n",
       "M 48.6875 27.296875 \n",
       "Q 48.6875 37.203125 44.609375 42.84375 \n",
       "Q 40.53125 48.484375 33.40625 48.484375 \n",
       "Q 26.265625 48.484375 22.1875 42.84375 \n",
       "Q 18.109375 37.203125 18.109375 27.296875 \n",
       "Q 18.109375 17.390625 22.1875 11.75 \n",
       "Q 26.265625 6.109375 33.40625 6.109375 \n",
       "Q 40.53125 6.109375 44.609375 11.75 \n",
       "Q 48.6875 17.390625 48.6875 27.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-112\"/>\n",
       "      <path d=\"M 54.890625 33.015625 \n",
       "L 54.890625 0 \n",
       "L 45.90625 0 \n",
       "L 45.90625 32.71875 \n",
       "Q 45.90625 40.484375 42.875 44.328125 \n",
       "Q 39.84375 48.1875 33.796875 48.1875 \n",
       "Q 26.515625 48.1875 22.3125 43.546875 \n",
       "Q 18.109375 38.921875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 75.984375 \n",
       "L 18.109375 75.984375 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.34375 51.125 25.703125 53.5625 \n",
       "Q 30.078125 56 35.796875 56 \n",
       "Q 45.21875 56 50.046875 50.171875 \n",
       "Q 54.890625 44.34375 54.890625 33.015625 \n",
       "z\n",
       "\" id=\"DejaVuSans-104\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-100\"/>\n",
       "     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"124.755859\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "     <use x=\"163.964844\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"225.244141\" xlink:href=\"#DejaVuSans-47\"/>\n",
       "     <use x=\"258.935547\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"320.214844\" xlink:href=\"#DejaVuSans-99\"/>\n",
       "     <use x=\"375.195312\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"402.978516\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "     <use x=\"455.078125\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"490.283203\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"553.90625\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "     <use x=\"617.529297\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "     <use x=\"681.152344\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"744.775391\" xlink:href=\"#DejaVuSans-56\"/>\n",
       "     <use x=\"808.398438\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"858.398438\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"922.021484\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"985.644531\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1049.267578\" xlink:href=\"#DejaVuSans-78\"/>\n",
       "     <use x=\"1124.072266\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1187.695312\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1251.318359\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "     <use x=\"1314.941406\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"1364.941406\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"1406.054688\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1469.677734\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1533.300781\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "     <use x=\"1596.923828\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"1660.546875\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"1710.546875\" xlink:href=\"#DejaVuSans-112\"/>\n",
       "     <use x=\"1774.023438\" xlink:href=\"#DejaVuSans-104\"/>\n",
       "     <use x=\"1837.402344\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"1898.681641\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"1962.304688\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "     <use x=\"1994.091797\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"2029.296875\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"2057.080078\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "     <use x=\"2096.289062\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"p4a7e76ab81\">\n",
       "   <rect height=\"217.44\" width=\"334.8\" x=\"54\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n",
       "</details></div><details open><summary>Summary (7)</summary><div class=\"datavals\"><div class=\"dataname\">Identifier</div><div class=\"dataval\">data/acisf04938_000N002_r0043_pha3.fits</div><div class=\"dataname\">Exposure</div><div class=\"dataval\">50454.2 s</div><div class=\"dataname\">Number of bins</div><div class=\"dataval\">1024</div><div class=\"dataname\">Channel range</div><div class=\"dataval\">1 - 1024</div><div class=\"dataname\">Count range</div><div class=\"dataval\">0.0 - 52.0</div><div class=\"dataname\">Grouping</div><div class=\"dataval\">Applied (736 groups)</div><div class=\"dataname\">Using</div><div class=\"dataval\">0.5037-6.9934 Energy (keV) with 158 groups</div></div></details><details><summary>Metadata (8)</summary><div class=\"datavals\"><div class=\"dataname\">Mission or Satellite</div><div class=\"dataval\">CHANDRA</div><div class=\"dataname\">Instrument or Detector</div><div class=\"dataval\">ACIS</div><div class=\"dataname\">Object</div><div class=\"dataval\">CSC</div><div class=\"dataname\">Observation date</div><div class=\"dataval\">2005-05-03T13:18:52</div><div class=\"dataname\">Program that created the PHA</div><div class=\"dataval\">dmextract - Version CAT 2.7</div><div class=\"dataname\">The channel type</div><div class=\"dataval\">PI</div><div class=\"dataname\">Data stored</div><div class=\"dataval\">BKG</div><div class=\"dataname\">Data format</div><div class=\"dataval\">COUNT</div></div></details></div>"
      ],
      "text/plain": [
       "<DataPHA data set instance 'data/acisf04938_000N002_r0043_pha3.fits'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bkg"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "surface-ethernet",
   "metadata": {},
   "source": [
    "Let's try to fit a model to the background - it looks fairly flat at high energies and some extra emission at low energies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "handled-dialogue",
   "metadata": {},
   "outputs": [],
   "source": [
    "set_bkg_model(\"simple\", xsapec.bgas + powlaw1d.bpl1)\n",
    "bgas.abundanc.thaw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "constant-miller",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = simple\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 1.24603e+12\n",
      "Final fit statistic   = 631.476 at function evaluation 434\n",
      "Data points           = 158\n",
      "Degrees of freedom    = 153\n",
      "Probability [Q-value] = 2.28967e-59\n",
      "Reduced statistic     = 4.12729\n",
      "Change in statistic   = 1.24603e+12\n",
      "   bgas.kT        0.559916     +/- 0.0528225   \n",
      "   bgas.Abundanc   0            +/- 0.00480932  \n",
      "   bgas.norm      0.00068117   +/- 9.35982e-05 \n",
      "   bpl1.gamma     -0.823298    +/- 0.0925575   \n",
      "   bpl1.ampl      1.21325e-05  +/- 1.64332e-06 \n",
      "WARNING: parameter value bgas.Abundanc is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "fit_bkg('simple')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "monthly-quebec",
   "metadata": {},
   "source": [
    "It turns out this is not the best-looking fit!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "upset-provision",
   "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": [
    "plot_bkg_fit('simple')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "improved-continuity",
   "metadata": {
    "tags": []
   },
   "source": [
    "Let's add an extra power-law term so we can have one helping out the low-energy data and the other for the higher-energy term:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "driven-yellow",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = simple\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 3.83246e+11\n",
      "Final fit statistic   = 408.608 at function evaluation 544\n",
      "Data points           = 158\n",
      "Degrees of freedom    = 151\n",
      "Probability [Q-value] = 1.33737e-25\n",
      "Reduced statistic     = 2.70601\n",
      "Change in statistic   = 3.83246e+11\n",
      "   bgas.kT        0.0441298    +/- 0           \n",
      "   bgas.Abundanc   0.209952     +/- 0           \n",
      "   bgas.norm      1.21455      +/- 0           \n",
      "   bpl1.gamma     -6.33242     +/- 0           \n",
      "   bpl1.ampl      6.91234e-10  +/- 3.44019e-11 \n",
      "   bpl2.gamma     0.637791     +/- 0           \n",
      "   bpl2.ampl      5.86147e-05  +/- 1.38771e-06 \n",
      "WARNING: parameter value bpl1.ampl is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "set_bkg_source('simple', bgas + bpl1 + powlaw1d.bpl2)\n",
    "bpl2.gamma = 1\n",
    "\n",
    "fit_bkg('simple')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "burning-snake",
   "metadata": {},
   "source": [
    "It's potentially better..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "respected-accuracy",
   "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": [
    "plot_bkg_fit('simple')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "extraordinary-birmingham",
   "metadata": {
    "tags": []
   },
   "source": [
    "We can use [plot_model_component](https://cxc.cfa.harvard.edu/sherpa/ahelp/plot_model_component.html) to see how the various components map to the data.\n",
    "\n",
    "In this case I am mixing up some commands which are meant to be used for the \"source\" dataset - `get_response` and `plot_model_component` - and those for the background (`plot_bkg_model`). This works here because we actually only have a response for the suorce region and we are assuming we can use the same response for the background region. We also don't have a `plot_bkg_model_component` command...."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "similar-environment",
   "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": [
    "# get_response combines the ARF and RMF (if both loaded, as they are here) to create\n",
    "# a \"model\" that converts a model defined on an energy grid to one on channel space.\n",
    "#\n",
    "rsp = get_response('simple')\n",
    "\n",
    "plot_bkg_model('simple', ylog=True)\n",
    "plot_model_component('simple', rsp(bgas), alpha=0.7, overplot=True)\n",
    "plot_model_component('simple', rsp(bpl1), alpha=0.7, overplot=True)\n",
    "plot_model_component('simple', rsp(bpl2), alpha=0.7, overplot=True)\n",
    "\n",
    "plot_bkg('simple', alpha=0.2, overplot=True)\n",
    "\n",
    "plt.legend(['all', 'bgas', 'bpl1', 'bpl2'])\n",
    "plt.ylim(1e-5, 1e-1);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "grave-forest",
   "metadata": {
    "tags": []
   },
   "source": [
    "This is all fascinating, but it doesn't really get us any closer to describing this data...\n",
    "\n",
    "Let's just see what happens if we use this background model (even if we know it is not great):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "peripheral-tuition",
   "metadata": {},
   "outputs": [],
   "source": [
    "set_source('simple', xsphabs.gal * powlaw1d.pl)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "objective-george",
   "metadata": {
    "tags": []
   },
   "source": [
    "It turns out that we are not actually at the minimum, as the fit statistic changes quite significally if we re-run it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "reasonable-acoustic",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = simple\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 406.978\n",
      "Final fit statistic   = 282.295 at function evaluation 608\n",
      "Data points           = 156\n",
      "Degrees of freedom    = 149\n",
      "Probability [Q-value] = 2.6922e-10\n",
      "Reduced statistic     = 1.8946\n",
      "Change in statistic   = 124.684\n",
      "   bgas.kT        0.169693     +/- 0           \n",
      "   bgas.Abundanc   0.0147618    +/- 0           \n",
      "   bgas.norm      0.00485757   +/- 0           \n",
      "   bpl1.gamma     -8.01734     +/- 0           \n",
      "   bpl1.ampl      2.75085e-11  +/- 1.43786e-12 \n",
      "   bpl2.gamma     0.293178     +/- 0           \n",
      "   bpl2.ampl      4.38061e-05  +/- 9.96735e-07 \n",
      "WARNING: parameter value bpl1.ampl is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "fit_bkg('simple')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "anticipated-interpretation",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = simple\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 282.295\n",
      "Final fit statistic   = 282.295 at function evaluation 279\n",
      "Data points           = 156\n",
      "Degrees of freedom    = 149\n",
      "Probability [Q-value] = 2.6922e-10\n",
      "Reduced statistic     = 1.8946\n",
      "Change in statistic   = 0\n",
      "   bgas.kT        0.169693     +/- 0           \n",
      "   bgas.Abundanc   0.0147618    +/- 0           \n",
      "   bgas.norm      0.00485757   +/- 0           \n",
      "   bpl1.gamma     -8.01734     +/- 0           \n",
      "   bpl1.ampl      2.75085e-11  +/- 1.43858e-12 \n",
      "   bpl2.gamma     0.293178     +/- 0           \n",
      "   bpl2.ampl      4.38061e-05  +/- 9.96752e-07 \n",
      "WARNING: parameter value bpl1.ampl is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "fit_bkg('simple')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "interested-reunion",
   "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": [
    "plot_bkg_fit('simple')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "czech-attack",
   "metadata": {},
   "source": [
    "Now we've got the background model into a \"stable\" place we can fit the source (which will include a contribution from the background model):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "eight-infrastructure",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = simple\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 4.15168e+11\n",
      "Final fit statistic   = 462.299 at function evaluation 711\n",
      "Data points           = 223\n",
      "Degrees of freedom    = 213\n",
      "Probability [Q-value] = 1.65768e-20\n",
      "Reduced statistic     = 2.17042\n",
      "Change in statistic   = 4.15168e+11\n",
      "   gal.nH         0            +/- 0           \n",
      "   pl.gamma       1.5167       +/- 0           \n",
      "   pl.ampl        4.3135e-05   +/- 1.38574e-06 \n",
      "   bgas.kT        0.167447     +/- 0           \n",
      "   bgas.Abundanc   0.0137729    +/- 0           \n",
      "   bgas.norm      0.00531594   +/- 0           \n",
      "   bpl1.gamma     -8.06715     +/- 0           \n",
      "   bpl1.ampl      2.52492e-11  +/- 1.28227e-12 \n",
      "   bpl2.gamma     0.336509     +/- 0           \n",
      "   bpl2.ampl      4.49494e-05  +/- 1.03217e-06 \n",
      "WARNING: parameter value gal.nH is at its minimum boundary 0.0\n",
      "WARNING: parameter value bpl1.ampl is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "fit('simple')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "dominican-brook",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = simple\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 462.299\n",
      "Final fit statistic   = 345.083 at function evaluation 296\n",
      "Data points           = 223\n",
      "Degrees of freedom    = 213\n",
      "Probability [Q-value] = 2.5911e-08\n",
      "Reduced statistic     = 1.62011\n",
      "Change in statistic   = 117.217\n",
      "   gal.nH         0.0408572    +/- 0           \n",
      "   pl.gamma       2.08791      +/- 0           \n",
      "   pl.ampl        7.93922e-05  +/- 2.3564e-06  \n",
      "   bgas.kT        0.168821     +/- 0           \n",
      "   bgas.Abundanc   0.0148646    +/- 0           \n",
      "   bgas.norm      0.0049065    +/- 0           \n",
      "   bpl1.gamma     -7.99623     +/- 0           \n",
      "   bpl1.ampl      2.90713e-11  +/- 1.46286e-12 \n",
      "   bpl2.gamma     0.295976     +/- 0           \n",
      "   bpl2.ampl      4.38744e-05  +/- 9.95978e-07 \n",
      "WARNING: parameter value bpl1.ampl is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "fit('simple')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "saved-death",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = simple\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 345.083\n",
      "Final fit statistic   = 345.083 at function evaluation 252\n",
      "Data points           = 223\n",
      "Degrees of freedom    = 213\n",
      "Probability [Q-value] = 2.5911e-08\n",
      "Reduced statistic     = 1.62011\n",
      "Change in statistic   = 0\n",
      "   gal.nH         0.0408572    +/- 0           \n",
      "   pl.gamma       2.08791      +/- 0           \n",
      "   pl.ampl        7.93922e-05  +/- 2.35596e-06 \n",
      "   bgas.kT        0.168821     +/- 0           \n",
      "   bgas.Abundanc   0.0148646    +/- 0           \n",
      "   bgas.norm      0.0049065    +/- 0           \n",
      "   bpl1.gamma     -7.99623     +/- 0           \n",
      "   bpl1.ampl      2.90713e-11  +/- 1.46514e-12 \n",
      "   bpl2.gamma     0.295976     +/- 0           \n",
      "   bpl2.ampl      4.38744e-05  +/- 9.96042e-07 \n",
      "WARNING: parameter value bpl1.ampl is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "fit('simple')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "french-reservation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_fit_delchi('simple', xlog=True, ylog=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "light-wheat",
   "metadata": {},
   "source": [
    "# What can we do about the background?\n",
    "\n",
    "Let's load the background dataset into it's own \"label\" so we don't have to worry about \"bkg\" commands. Note that this happens to be a CSC 2.0 source and so the background is stored as the SPECTRUM2 block of the file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "solid-roommate",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ciao_contrib import runtool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "pharmaceutical-documentary",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       " \n",
       "--------------------------------------------------------------------------------\n",
       "Dataset: data/acisf04938_000N002_r0043_pha3.fits\n",
       "--------------------------------------------------------------------------------\n",
       " \n",
       "     Block Name                          Type         Dimensions\n",
       "--------------------------------------------------------------------------------\n",
       "Block    1: PRIMARY                        Null        \n",
       "Block    2: SPECTRUM1                      Table         4 cols x 1024     rows\n",
       "Block    3: GTI3                           Table         2 cols x 1        rows\n",
       "Block    4: GTI2                           Table         2 cols x 5        rows\n",
       "Block    5: SPECTRUM2                      Table         4 cols x 1024     rows\n",
       "Block    6: GTI3_CPT2                      Table         2 cols x 5        rows"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "runtool.dmlist('data/acisf04938_000N002_r0043_pha3.fits', 'blocks')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "sunrise-sending",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "none"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "runtool.dmkeypar('data/acisf04938_000N002_r0043_pha3.fits[SPECTRUM2]', \"ANCRFILE\", echo=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "relevant-easter",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "none"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "runtool.dmkeypar('data/acisf04938_000N002_r0043_pha3.fits[SPECTRUM2]', \"RESPFILE\", echo=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "instant-plymouth",
   "metadata": {},
   "outputs": [],
   "source": [
    "load_pha('bgnd', 'data/acisf04938_000N002_r0043_pha3.fits[SPECTRUM2]')  # This requires CIAO/pycrates as astropy doesn't allow to use this syntax"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "employed-bulgarian",
   "metadata": {},
   "source": [
    "Note that this does not load in any response information as the `ANCRFILE` and `RESPFILE` headers are set to `none` - we can see this when we plot the data as it uses channel units:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "exotic-charge",
   "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": [
    "plot_data('bgnd')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "selective-andrews",
   "metadata": {},
   "source": [
    "What we can do is load the response we want - we could use [get_arf](https://cxc.cfa.harvard.edu/sherpa/ahelp/get_arf.html) and [get_rmf](https://cxc.cfa.harvard.edu/sherpa/ahelp/get_rmf.html) to copy over the data from the `\"simple\"` dataset, but let's use [load_rmf](https://cxc.cfa.harvard.edu/sherpa/ahelp/load_rmf.html), as I'm going to ignore the ARF (that is treat the model as representing the charged-particle background that just sails through the telescope and ignores the mirror): "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "chubby-mobile",
   "metadata": {},
   "outputs": [],
   "source": [
    "load_rmf('bgnd', 'data/acisf04938_000N002_r0043_rmf3.fits')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "laughing-graphic",
   "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": [
    "plot_data('bgnd')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "gothic-vacation",
   "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": [
    "ignore_id('bgnd')\n",
    "notice_id('bgnd', 0.5, 7)\n",
    "plot_data('bgnd')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "sublime-yorkshire",
   "metadata": {},
   "outputs": [],
   "source": [
    "group_counts('bgnd', 20, tabStops=~get_data('bgnd').get_mask())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "independent-tulsa",
   "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": [
    "plot_data('bgnd')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bacterial-mills",
   "metadata": {},
   "source": [
    "**WARNING**\n",
    "\n",
    "The following model expression has been chosen as it is \"slightly complex\" (i.e. multiple components) and can be used to reasonably describe this particular background dataset. This is a purely **phenomenological** model and **should not** be used for actual analysis of Chandra data!\n",
    "\n",
    "There are a bunch of papers that describe modelling the Sherpa background: I suggest \"[High-redshift X-ray Cooling-core Cluster Associated with the Luminous Radio-loud Quasar 3C 186](https://ui.adsabs.harvard.edu/abs/2010ApJ...722..102S/abstract)\" by Siemiginowska et al but as I'm the second author I may be a bit biased."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "eligible-stevens",
   "metadata": {},
   "outputs": [],
   "source": [
    "set_source('bgnd', powlaw1d.bpl1_bgnd + powlaw1d.bpl2_bgnd + xsgaussian.bline1_bgnd)\n",
    "\n",
    "# fitting lines in data like this can be tricky, so we set the position to\n",
    "# be close to where we expect it and treat it as being close to a delta\n",
    "# function.\n",
    "#\n",
    "bline1_bgnd.linee = 2\n",
    "set_par(bline1_bgnd.sigma, 0.01, frozen=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "latin-debut",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = bgnd\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 4.325e+07\n",
      "Final fit statistic   = 162.075 at function evaluation 417\n",
      "Data points           = 158\n",
      "Degrees of freedom    = 152\n",
      "Probability [Q-value] = 0.273057\n",
      "Reduced statistic     = 1.06628\n",
      "Change in statistic   = 4.32499e+07\n",
      "   bpl1_bgnd.gamma   -3.56345     +/- 1.49661     \n",
      "   bpl1_bgnd.ampl   4.24041e-06  +/- 1.22218e-05 \n",
      "   bpl2_bgnd.gamma   0.58096      +/- 0.0507096   \n",
      "   bpl2_bgnd.ampl   0.0178635    +/- 0.000496128 \n",
      "   bline1_bgnd.LineE   2.14233      +/- 0.00800686  \n",
      "   bline1_bgnd.norm   0.00238685   +/- 0.000318647 \n"
     ]
    }
   ],
   "source": [
    "fit('bgnd')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "attached-bubble",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_fit_delchi('bgnd')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "boolean-mixture",
   "metadata": {
    "tags": []
   },
   "source": [
    "The model we are fitting is two power-laws and a gaussian:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "genetic-integer",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;BinaryOpModel model instance &#x27;((powlaw1d.bpl1_bgnd + powlaw1d.bpl2_bgnd) + xsgaussian.bline1_bgnd)&#x27;&gt;</div><div hidden class=\"sherpa\"><details open><summary>Model</summary><table class=\"model\"><caption>Expression: (powlaw1d.bpl1_bgnd + powlaw1d.bpl2_bgnd) + xsgaussian.bline1_bgnd</caption><thead><tr><th>Component</th><th>Parameter</th><th>Thawed</th><th>Value</th><th>Min</th><th>Max</th><th>Units</th></tr></thead><tbody><tr><th class=\"model-odd\" scope=\"rowgroup\" rowspan=3>bpl1_bgnd</th><td>gamma</td><td><input disabled type=\"checkbox\" checked></input></td><td>-3.5634506430286934</td><td>-10.0</td><td>10.0</td><td></td></tr><tr><td>ref</td><td><input disabled type=\"checkbox\"></input></td><td>1.0</td><td>-MAX</td><td>MAX</td><td></td></tr><tr><td>ampl</td><td><input disabled type=\"checkbox\" checked></input></td><td>4.240412022226142e-06</td><td>0.0</td><td>MAX</td><td></td></tr><tr class=\"block\"><th class=\"model-even\" scope=\"rowgroup\" rowspan=3>bpl2_bgnd</th><td>gamma</td><td><input disabled type=\"checkbox\" checked></input></td><td>0.5809603449116307</td><td>-10.0</td><td>10.0</td><td></td></tr><tr><td>ref</td><td><input disabled type=\"checkbox\"></input></td><td>1.0</td><td>-MAX</td><td>MAX</td><td></td></tr><tr><td>ampl</td><td><input disabled type=\"checkbox\" checked></input></td><td>0.017863511011045736</td><td>0.0</td><td>MAX</td><td></td></tr><tr class=\"block\"><th class=\"model-odd\" scope=\"rowgroup\" rowspan=3>bline1_bgnd</th><td>LineE</td><td><input disabled type=\"checkbox\" checked></input></td><td>2.142330500530376</td><td>0.0</td><td>1000000.0</td><td>keV</td></tr><tr><td>Sigma</td><td><input disabled type=\"checkbox\"></input></td><td>0.01</td><td>0.0</td><td>10.0</td><td>keV</td></tr><tr><td>norm</td><td><input disabled type=\"checkbox\" checked></input></td><td>0.0023868463373538764</td><td>0.0</td><td>1e+24</td><td></td></tr></tbody></table></details></div>"
      ],
      "text/plain": [
       "<BinaryOpModel model instance '((powlaw1d.bpl1_bgnd + powlaw1d.bpl2_bgnd) + xsgaussian.bline1_bgnd)'>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_source('bgnd')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "basic-diversity",
   "metadata": {
    "tags": []
   },
   "source": [
    "The actual model being fitted includes the RMF. What this means is that we are effectively treating the ARF as if it has a value of 1.0 for each bin. This means that we are describing emission that \"ignores\" the mirrors (so not part of the cosmic X-ray background). In reality we should think about including phyiscal models (e.g. the AGN background and emission from the local background), but it depends on whether we want a physically-meaningful model or just a phenomenolgical one. For this notebook we will treat this model as successful."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "educated-power",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;RMFModelPHA model instance &#x27;apply_rmf((50454.152030948 * ((powlaw1d.bpl1_bgnd + powlaw1d.bpl2_bgnd) + xsgaussian.bline1_bgnd)))&#x27;&gt;</div><div hidden class=\"sherpa\"><details open><summary>Model</summary><table class=\"model\"><caption>Expression: apply_rmf((50454.152030948 * ((powlaw1d.bpl1_bgnd + powlaw1d.bpl2_bgnd) + xsgaussian.bline1_bgnd)))</caption><thead><tr><th>Component</th><th>Parameter</th><th>Thawed</th><th>Value</th><th>Min</th><th>Max</th><th>Units</th></tr></thead><tbody><tr><th class=\"model-odd\" scope=\"rowgroup\" rowspan=3>bpl1_bgnd</th><td>gamma</td><td><input disabled type=\"checkbox\" checked></input></td><td>-3.5634506430286934</td><td>-10.0</td><td>10.0</td><td></td></tr><tr><td>ref</td><td><input disabled type=\"checkbox\"></input></td><td>1.0</td><td>-MAX</td><td>MAX</td><td></td></tr><tr><td>ampl</td><td><input disabled type=\"checkbox\" checked></input></td><td>4.240412022226142e-06</td><td>0.0</td><td>MAX</td><td></td></tr><tr class=\"block\"><th class=\"model-even\" scope=\"rowgroup\" rowspan=3>bpl2_bgnd</th><td>gamma</td><td><input disabled type=\"checkbox\" checked></input></td><td>0.5809603449116307</td><td>-10.0</td><td>10.0</td><td></td></tr><tr><td>ref</td><td><input disabled type=\"checkbox\"></input></td><td>1.0</td><td>-MAX</td><td>MAX</td><td></td></tr><tr><td>ampl</td><td><input disabled type=\"checkbox\" checked></input></td><td>0.017863511011045736</td><td>0.0</td><td>MAX</td><td></td></tr><tr class=\"block\"><th class=\"model-odd\" scope=\"rowgroup\" rowspan=3>bline1_bgnd</th><td>LineE</td><td><input disabled type=\"checkbox\" checked></input></td><td>2.142330500530376</td><td>0.0</td><td>1000000.0</td><td>keV</td></tr><tr><td>Sigma</td><td><input disabled type=\"checkbox\"></input></td><td>0.01</td><td>0.0</td><td>10.0</td><td>keV</td></tr><tr><td>norm</td><td><input disabled type=\"checkbox\" checked></input></td><td>0.0023868463373538764</td><td>0.0</td><td>1e+24</td><td></td></tr></tbody></table></details></div>"
      ],
      "text/plain": [
       "<RMFModelPHA model instance 'apply_rmf((50454.152030948 * ((powlaw1d.bpl1_bgnd + powlaw1d.bpl2_bgnd) + xsgaussian.bline1_bgnd)))'>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_model('bgnd')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "affected-tenant",
   "metadata": {},
   "source": [
    "# How do I use this model?\n",
    "\n",
    "By loading in the data yet again ...[$\\dagger$]\n",
    "\n",
    "---\n",
    "\n",
    "$\\dagger$ - in reality you wouldn't have quite as many copies of the same data loaded; I am doing it to make things (hopefully) more obvious."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "spanish-honor",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read ARF file data/acisf04938_000N002_r0043_arf3.fits\n",
      "read RMF file data/acisf04938_000N002_r0043_rmf3.fits\n",
      "read background file data/acisf04938_000N002_r0043_pha3.fits\n"
     ]
    }
   ],
   "source": [
    "load_pha(99, 'data/acisf04938_000N002_r0043_pha3.fits')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "caring-alabama",
   "metadata": {},
   "outputs": [],
   "source": [
    "notice_id(99, 0.5, 7)\n",
    "group_counts(99, 20, tabStops=~get_data(99).get_mask())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "prepared-ottawa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# I could re-use the components from the bgnd model, but there's a reason why I'm not.\n",
    "#\n",
    "set_bkg_source(99, powlaw1d.bpl1_99 + powlaw1d.bpl2_99 + xsgaussian.bline1_99)\n",
    "bline1_99.linee = 2\n",
    "set_par(bline1_99.sigma, 0.01, frozen=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "plastic-sleeping",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = 99\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 3.90003e+12\n",
      "Final fit statistic   = 435.852 at function evaluation 205\n",
      "Data points           = 158\n",
      "Degrees of freedom    = 152\n",
      "Probability [Q-value] = 3.28222e-29\n",
      "Reduced statistic     = 2.86745\n",
      "Change in statistic   = 3.90003e+12\n",
      "   bpl1_99.gamma   -0.744892    +/- 0.0858159   \n",
      "   bpl1_99.ampl   1.3371e-05   +/- 1.66334e-06 \n",
      "   bpl2_99.gamma   4.06089      +/- 0.178291    \n",
      "   bpl2_99.ampl   6.47637e-05  +/- 4.10347e-06 \n",
      "   bline1_99.LineE   2.14654      +/- 0.00537139  \n",
      "   bline1_99.norm   1.92432e-05  +/- 1.74944e-06 \n"
     ]
    }
   ],
   "source": [
    "fit_bkg(99)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "emotional-product",
   "metadata": {
    "tags": []
   },
   "source": [
    "Hold on, when I `fit('bgnd')` above I got a reduced statistic of ~1.07, not ~2.9!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "hairy-diploma",
   "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": [
    "plot_bkg_fit(99)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "hispanic-glass",
   "metadata": {
    "tags": []
   },
   "source": [
    "I we look at the full-model expression (returned by `get_bkg_model`) we can see the reason: this has included the ARF as well as the RMF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "champion-contractor",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;RSPModelPHA model instance &#x27;apply_rmf(apply_arf((50454.152030948 * ((powlaw1d.bpl1_99 + powlaw1d.bpl2_99) + xsgaussian.bline1_99))))&#x27;&gt;</div><div hidden class=\"sherpa\"><details open><summary>Model</summary><table class=\"model\"><caption>Expression: apply_rmf(apply_arf((50454.152030948 * ((powlaw1d.bpl1_99 + powlaw1d.bpl2_99) + xsgaussian.bline1_99))))</caption><thead><tr><th>Component</th><th>Parameter</th><th>Thawed</th><th>Value</th><th>Min</th><th>Max</th><th>Units</th></tr></thead><tbody><tr><th class=\"model-odd\" scope=\"rowgroup\" rowspan=3>bpl1_99</th><td>gamma</td><td><input disabled type=\"checkbox\" checked></input></td><td>-0.744892058841457</td><td>-10.0</td><td>10.0</td><td></td></tr><tr><td>ref</td><td><input disabled type=\"checkbox\"></input></td><td>1.0</td><td>-MAX</td><td>MAX</td><td></td></tr><tr><td>ampl</td><td><input disabled type=\"checkbox\" checked></input></td><td>1.3371043213228529e-05</td><td>0.0</td><td>MAX</td><td></td></tr><tr class=\"block\"><th class=\"model-even\" scope=\"rowgroup\" rowspan=3>bpl2_99</th><td>gamma</td><td><input disabled type=\"checkbox\" checked></input></td><td>4.060891794113587</td><td>-10.0</td><td>10.0</td><td></td></tr><tr><td>ref</td><td><input disabled type=\"checkbox\"></input></td><td>1.0</td><td>-MAX</td><td>MAX</td><td></td></tr><tr><td>ampl</td><td><input disabled type=\"checkbox\" checked></input></td><td>6.476372408785484e-05</td><td>0.0</td><td>MAX</td><td></td></tr><tr class=\"block\"><th class=\"model-odd\" scope=\"rowgroup\" rowspan=3>bline1_99</th><td>LineE</td><td><input disabled type=\"checkbox\" checked></input></td><td>2.146543289336834</td><td>0.0</td><td>1000000.0</td><td>keV</td></tr><tr><td>Sigma</td><td><input disabled type=\"checkbox\"></input></td><td>0.01</td><td>0.0</td><td>10.0</td><td>keV</td></tr><tr><td>norm</td><td><input disabled type=\"checkbox\" checked></input></td><td>1.9243151685935187e-05</td><td>0.0</td><td>1e+24</td><td></td></tr></tbody></table></details></div>"
      ],
      "text/plain": [
       "<RSPModelPHA model instance 'apply_rmf(apply_arf((50454.152030948 * ((powlaw1d.bpl1_99 + powlaw1d.bpl2_99) + xsgaussian.bline1_99))))'>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_bkg_model(99)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "incoming-mainstream",
   "metadata": {
    "tags": []
   },
   "source": [
    "How do we get rid of the ARF? Unfortunately we don't have an easy way to do this in CIAO 4.13, so we have to do a trick: read in the ARF and then reset it so that it has values of 1. The current ARF for the background looks like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "approximate-observation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;DataARF data set instance &#x27;data/acisf04938_000N002_r0043_arf3.fits&#x27;&gt;</div><div hidden class=\"sherpa\"><style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;sherpa.astro.plot.ARFPlot object at 0x7fdb41d78220&gt;</div><div hidden class=\"sherpa\"><details open><summary>ARF Plot</summary><svg height=\"288pt\" version=\"1.1\" viewBox=\"0 0 432 288\" width=\"432pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <metadata>\n",
       "  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
       "   <cc:Work>\n",
       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
       "    <dc:date>2021-08-27T11:37:42.179499</dc:date>\n",
       "    <dc:format>image/svg+xml</dc:format>\n",
       "    <dc:creator>\n",
       "     <cc:Agent>\n",
       "      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n",
       "     </cc:Agent>\n",
       "    </dc:creator>\n",
       "   </cc:Work>\n",
       "  </rdf:RDF>\n",
       " </metadata>\n",
       " <defs>\n",
       "  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 288 \n",
       "L 432 288 \n",
       "L 432 0 \n",
       "L 0 0 \n",
       "z\n",
       "\" style=\"fill:none;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g id=\"patch_2\">\n",
       "    <path d=\"M 54 252 \n",
       "L 388.8 252 \n",
       "L 388.8 34.56 \n",
       "L 54 34.56 \n",
       "z\n",
       "\" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_1\">\n",
       "    <g id=\"xtick_1\">\n",
       "     <g id=\"line2d_1\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L 0 3.5 \n",
       "\" id=\"m3bf565c7aa\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"59.072727\" xlink:href=\"#m3bf565c7aa\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_1\">\n",
       "      <!-- 0 -->\n",
       "      <g transform=\"translate(55.891477 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 31.78125 66.40625 \n",
       "Q 24.171875 66.40625 20.328125 58.90625 \n",
       "Q 16.5 51.421875 16.5 36.375 \n",
       "Q 16.5 21.390625 20.328125 13.890625 \n",
       "Q 24.171875 6.390625 31.78125 6.390625 \n",
       "Q 39.453125 6.390625 43.28125 13.890625 \n",
       "Q 47.125 21.390625 47.125 36.375 \n",
       "Q 47.125 51.421875 43.28125 58.90625 \n",
       "Q 39.453125 66.40625 31.78125 66.40625 \n",
       "z\n",
       "M 31.78125 74.21875 \n",
       "Q 44.046875 74.21875 50.515625 64.515625 \n",
       "Q 56.984375 54.828125 56.984375 36.375 \n",
       "Q 56.984375 17.96875 50.515625 8.265625 \n",
       "Q 44.046875 -1.421875 31.78125 -1.421875 \n",
       "Q 19.53125 -1.421875 13.0625 8.265625 \n",
       "Q 6.59375 17.96875 6.59375 36.375 \n",
       "Q 6.59375 54.828125 13.0625 64.515625 \n",
       "Q 19.53125 74.21875 31.78125 74.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-48\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_2\">\n",
       "     <g id=\"line2d_2\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.709089\" xlink:href=\"#m3bf565c7aa\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_2\">\n",
       "      <!-- 2 -->\n",
       "      <g transform=\"translate(123.527839 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 19.1875 8.296875 \n",
       "L 53.609375 8.296875 \n",
       "L 53.609375 0 \n",
       "L 7.328125 0 \n",
       "L 7.328125 8.296875 \n",
       "Q 12.9375 14.109375 22.625 23.890625 \n",
       "Q 32.328125 33.6875 34.8125 36.53125 \n",
       "Q 39.546875 41.84375 41.421875 45.53125 \n",
       "Q 43.3125 49.21875 43.3125 52.78125 \n",
       "Q 43.3125 58.59375 39.234375 62.25 \n",
       "Q 35.15625 65.921875 28.609375 65.921875 \n",
       "Q 23.96875 65.921875 18.8125 64.3125 \n",
       "Q 13.671875 62.703125 7.8125 59.421875 \n",
       "L 7.8125 69.390625 \n",
       "Q 13.765625 71.78125 18.9375 73 \n",
       "Q 24.125 74.21875 28.421875 74.21875 \n",
       "Q 39.75 74.21875 46.484375 68.546875 \n",
       "Q 53.21875 62.890625 53.21875 53.421875 \n",
       "Q 53.21875 48.921875 51.53125 44.890625 \n",
       "Q 49.859375 40.875 45.40625 35.40625 \n",
       "Q 44.1875 33.984375 37.640625 27.21875 \n",
       "Q 31.109375 20.453125 19.1875 8.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-50\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_3\">\n",
       "     <g id=\"line2d_3\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"194.345452\" xlink:href=\"#m3bf565c7aa\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_3\">\n",
       "      <!-- 4 -->\n",
       "      <g transform=\"translate(191.164202 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 37.796875 64.3125 \n",
       "L 12.890625 25.390625 \n",
       "L 37.796875 25.390625 \n",
       "z\n",
       "M 35.203125 72.90625 \n",
       "L 47.609375 72.90625 \n",
       "L 47.609375 25.390625 \n",
       "L 58.015625 25.390625 \n",
       "L 58.015625 17.1875 \n",
       "L 47.609375 17.1875 \n",
       "L 47.609375 0 \n",
       "L 37.796875 0 \n",
       "L 37.796875 17.1875 \n",
       "L 4.890625 17.1875 \n",
       "L 4.890625 26.703125 \n",
       "z\n",
       "\" id=\"DejaVuSans-52\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_4\">\n",
       "     <g id=\"line2d_4\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"261.981814\" xlink:href=\"#m3bf565c7aa\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_4\">\n",
       "      <!-- 6 -->\n",
       "      <g transform=\"translate(258.800564 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 33.015625 40.375 \n",
       "Q 26.375 40.375 22.484375 35.828125 \n",
       "Q 18.609375 31.296875 18.609375 23.390625 \n",
       "Q 18.609375 15.53125 22.484375 10.953125 \n",
       "Q 26.375 6.390625 33.015625 6.390625 \n",
       "Q 39.65625 6.390625 43.53125 10.953125 \n",
       "Q 47.40625 15.53125 47.40625 23.390625 \n",
       "Q 47.40625 31.296875 43.53125 35.828125 \n",
       "Q 39.65625 40.375 33.015625 40.375 \n",
       "z\n",
       "M 52.59375 71.296875 \n",
       "L 52.59375 62.3125 \n",
       "Q 48.875 64.0625 45.09375 64.984375 \n",
       "Q 41.3125 65.921875 37.59375 65.921875 \n",
       "Q 27.828125 65.921875 22.671875 59.328125 \n",
       "Q 17.53125 52.734375 16.796875 39.40625 \n",
       "Q 19.671875 43.65625 24.015625 45.921875 \n",
       "Q 28.375 48.1875 33.59375 48.1875 \n",
       "Q 44.578125 48.1875 50.953125 41.515625 \n",
       "Q 57.328125 34.859375 57.328125 23.390625 \n",
       "Q 57.328125 12.15625 50.6875 5.359375 \n",
       "Q 44.046875 -1.421875 33.015625 -1.421875 \n",
       "Q 20.359375 -1.421875 13.671875 8.265625 \n",
       "Q 6.984375 17.96875 6.984375 36.375 \n",
       "Q 6.984375 53.65625 15.1875 63.9375 \n",
       "Q 23.390625 74.21875 37.203125 74.21875 \n",
       "Q 40.921875 74.21875 44.703125 73.484375 \n",
       "Q 48.484375 72.75 52.59375 71.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-54\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_5\">\n",
       "     <g id=\"line2d_5\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"329.618176\" xlink:href=\"#m3bf565c7aa\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_5\">\n",
       "      <!-- 8 -->\n",
       "      <g transform=\"translate(326.436926 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 31.78125 34.625 \n",
       "Q 24.75 34.625 20.71875 30.859375 \n",
       "Q 16.703125 27.09375 16.703125 20.515625 \n",
       "Q 16.703125 13.921875 20.71875 10.15625 \n",
       "Q 24.75 6.390625 31.78125 6.390625 \n",
       "Q 38.8125 6.390625 42.859375 10.171875 \n",
       "Q 46.921875 13.96875 46.921875 20.515625 \n",
       "Q 46.921875 27.09375 42.890625 30.859375 \n",
       "Q 38.875 34.625 31.78125 34.625 \n",
       "z\n",
       "M 21.921875 38.8125 \n",
       "Q 15.578125 40.375 12.03125 44.71875 \n",
       "Q 8.5 49.078125 8.5 55.328125 \n",
       "Q 8.5 64.0625 14.71875 69.140625 \n",
       "Q 20.953125 74.21875 31.78125 74.21875 \n",
       "Q 42.671875 74.21875 48.875 69.140625 \n",
       "Q 55.078125 64.0625 55.078125 55.328125 \n",
       "Q 55.078125 49.078125 51.53125 44.71875 \n",
       "Q 48 40.375 41.703125 38.8125 \n",
       "Q 48.828125 37.15625 52.796875 32.3125 \n",
       "Q 56.78125 27.484375 56.78125 20.515625 \n",
       "Q 56.78125 9.90625 50.3125 4.234375 \n",
       "Q 43.84375 -1.421875 31.78125 -1.421875 \n",
       "Q 19.734375 -1.421875 13.25 4.234375 \n",
       "Q 6.78125 9.90625 6.78125 20.515625 \n",
       "Q 6.78125 27.484375 10.78125 32.3125 \n",
       "Q 14.796875 37.15625 21.921875 38.8125 \n",
       "z\n",
       "M 18.3125 54.390625 \n",
       "Q 18.3125 48.734375 21.84375 45.5625 \n",
       "Q 25.390625 42.390625 31.78125 42.390625 \n",
       "Q 38.140625 42.390625 41.71875 45.5625 \n",
       "Q 45.3125 48.734375 45.3125 54.390625 \n",
       "Q 45.3125 60.0625 41.71875 63.234375 \n",
       "Q 38.140625 66.40625 31.78125 66.40625 \n",
       "Q 25.390625 66.40625 21.84375 63.234375 \n",
       "Q 18.3125 60.0625 18.3125 54.390625 \n",
       "z\n",
       "\" id=\"DejaVuSans-56\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-56\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_6\">\n",
       "     <!-- Energy (keV) -->\n",
       "     <g transform=\"translate(189.192187 280.276563)scale(0.1 -0.1)\">\n",
       "      <defs>\n",
       "       <path d=\"M 9.8125 72.90625 \n",
       "L 55.90625 72.90625 \n",
       "L 55.90625 64.59375 \n",
       "L 19.671875 64.59375 \n",
       "L 19.671875 43.015625 \n",
       "L 54.390625 43.015625 \n",
       "L 54.390625 34.71875 \n",
       "L 19.671875 34.71875 \n",
       "L 19.671875 8.296875 \n",
       "L 56.78125 8.296875 \n",
       "L 56.78125 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-69\"/>\n",
       "       <path d=\"M 54.890625 33.015625 \n",
       "L 54.890625 0 \n",
       "L 45.90625 0 \n",
       "L 45.90625 32.71875 \n",
       "Q 45.90625 40.484375 42.875 44.328125 \n",
       "Q 39.84375 48.1875 33.796875 48.1875 \n",
       "Q 26.515625 48.1875 22.3125 43.546875 \n",
       "Q 18.109375 38.921875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.34375 51.125 25.703125 53.5625 \n",
       "Q 30.078125 56 35.796875 56 \n",
       "Q 45.21875 56 50.046875 50.171875 \n",
       "Q 54.890625 44.34375 54.890625 33.015625 \n",
       "z\n",
       "\" id=\"DejaVuSans-110\"/>\n",
       "       <path d=\"M 56.203125 29.59375 \n",
       "L 56.203125 25.203125 \n",
       "L 14.890625 25.203125 \n",
       "Q 15.484375 15.921875 20.484375 11.0625 \n",
       "Q 25.484375 6.203125 34.421875 6.203125 \n",
       "Q 39.59375 6.203125 44.453125 7.46875 \n",
       "Q 49.3125 8.734375 54.109375 11.28125 \n",
       "L 54.109375 2.78125 \n",
       "Q 49.265625 0.734375 44.1875 -0.34375 \n",
       "Q 39.109375 -1.421875 33.890625 -1.421875 \n",
       "Q 20.796875 -1.421875 13.15625 6.1875 \n",
       "Q 5.515625 13.8125 5.515625 26.8125 \n",
       "Q 5.515625 40.234375 12.765625 48.109375 \n",
       "Q 20.015625 56 32.328125 56 \n",
       "Q 43.359375 56 49.78125 48.890625 \n",
       "Q 56.203125 41.796875 56.203125 29.59375 \n",
       "z\n",
       "M 47.21875 32.234375 \n",
       "Q 47.125 39.59375 43.09375 43.984375 \n",
       "Q 39.0625 48.390625 32.421875 48.390625 \n",
       "Q 24.90625 48.390625 20.390625 44.140625 \n",
       "Q 15.875 39.890625 15.1875 32.171875 \n",
       "z\n",
       "\" id=\"DejaVuSans-101\"/>\n",
       "       <path d=\"M 41.109375 46.296875 \n",
       "Q 39.59375 47.171875 37.8125 47.578125 \n",
       "Q 36.03125 48 33.890625 48 \n",
       "Q 26.265625 48 22.1875 43.046875 \n",
       "Q 18.109375 38.09375 18.109375 28.8125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 20.953125 51.171875 25.484375 53.578125 \n",
       "Q 30.03125 56 36.53125 56 \n",
       "Q 37.453125 56 38.578125 55.875 \n",
       "Q 39.703125 55.765625 41.0625 55.515625 \n",
       "z\n",
       "\" id=\"DejaVuSans-114\"/>\n",
       "       <path d=\"M 45.40625 27.984375 \n",
       "Q 45.40625 37.75 41.375 43.109375 \n",
       "Q 37.359375 48.484375 30.078125 48.484375 \n",
       "Q 22.859375 48.484375 18.828125 43.109375 \n",
       "Q 14.796875 37.75 14.796875 27.984375 \n",
       "Q 14.796875 18.265625 18.828125 12.890625 \n",
       "Q 22.859375 7.515625 30.078125 7.515625 \n",
       "Q 37.359375 7.515625 41.375 12.890625 \n",
       "Q 45.40625 18.265625 45.40625 27.984375 \n",
       "z\n",
       "M 54.390625 6.78125 \n",
       "Q 54.390625 -7.171875 48.1875 -13.984375 \n",
       "Q 42 -20.796875 29.203125 -20.796875 \n",
       "Q 24.46875 -20.796875 20.265625 -20.09375 \n",
       "Q 16.0625 -19.390625 12.109375 -17.921875 \n",
       "L 12.109375 -9.1875 \n",
       "Q 16.0625 -11.328125 19.921875 -12.34375 \n",
       "Q 23.78125 -13.375 27.78125 -13.375 \n",
       "Q 36.625 -13.375 41.015625 -8.765625 \n",
       "Q 45.40625 -4.15625 45.40625 5.171875 \n",
       "L 45.40625 9.625 \n",
       "Q 42.625 4.78125 38.28125 2.390625 \n",
       "Q 33.9375 0 27.875 0 \n",
       "Q 17.828125 0 11.671875 7.65625 \n",
       "Q 5.515625 15.328125 5.515625 27.984375 \n",
       "Q 5.515625 40.671875 11.671875 48.328125 \n",
       "Q 17.828125 56 27.875 56 \n",
       "Q 33.9375 56 38.28125 53.609375 \n",
       "Q 42.625 51.21875 45.40625 46.390625 \n",
       "L 45.40625 54.6875 \n",
       "L 54.390625 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-103\"/>\n",
       "       <path d=\"M 32.171875 -5.078125 \n",
       "Q 28.375 -14.84375 24.75 -17.8125 \n",
       "Q 21.140625 -20.796875 15.09375 -20.796875 \n",
       "L 7.90625 -20.796875 \n",
       "L 7.90625 -13.28125 \n",
       "L 13.1875 -13.28125 \n",
       "Q 16.890625 -13.28125 18.9375 -11.515625 \n",
       "Q 21 -9.765625 23.484375 -3.21875 \n",
       "L 25.09375 0.875 \n",
       "L 2.984375 54.6875 \n",
       "L 12.5 54.6875 \n",
       "L 29.59375 11.921875 \n",
       "L 46.6875 54.6875 \n",
       "L 56.203125 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-121\"/>\n",
       "       <path id=\"DejaVuSans-32\"/>\n",
       "       <path d=\"M 31 75.875 \n",
       "Q 24.46875 64.65625 21.28125 53.65625 \n",
       "Q 18.109375 42.671875 18.109375 31.390625 \n",
       "Q 18.109375 20.125 21.3125 9.0625 \n",
       "Q 24.515625 -2 31 -13.1875 \n",
       "L 23.1875 -13.1875 \n",
       "Q 15.875 -1.703125 12.234375 9.375 \n",
       "Q 8.59375 20.453125 8.59375 31.390625 \n",
       "Q 8.59375 42.28125 12.203125 53.3125 \n",
       "Q 15.828125 64.359375 23.1875 75.875 \n",
       "z\n",
       "\" id=\"DejaVuSans-40\"/>\n",
       "       <path d=\"M 9.078125 75.984375 \n",
       "L 18.109375 75.984375 \n",
       "L 18.109375 31.109375 \n",
       "L 44.921875 54.6875 \n",
       "L 56.390625 54.6875 \n",
       "L 27.390625 29.109375 \n",
       "L 57.625 0 \n",
       "L 45.90625 0 \n",
       "L 18.109375 26.703125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-107\"/>\n",
       "       <path d=\"M 28.609375 0 \n",
       "L 0.78125 72.90625 \n",
       "L 11.078125 72.90625 \n",
       "L 34.1875 11.53125 \n",
       "L 57.328125 72.90625 \n",
       "L 67.578125 72.90625 \n",
       "L 39.796875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-86\"/>\n",
       "       <path d=\"M 8.015625 75.875 \n",
       "L 15.828125 75.875 \n",
       "Q 23.140625 64.359375 26.78125 53.3125 \n",
       "Q 30.421875 42.28125 30.421875 31.390625 \n",
       "Q 30.421875 20.453125 26.78125 9.375 \n",
       "Q 23.140625 -1.703125 15.828125 -13.1875 \n",
       "L 8.015625 -13.1875 \n",
       "Q 14.5 -2 17.703125 9.0625 \n",
       "Q 20.90625 20.125 20.90625 31.390625 \n",
       "Q 20.90625 42.671875 17.703125 53.65625 \n",
       "Q 14.5 64.65625 8.015625 75.875 \n",
       "z\n",
       "\" id=\"DejaVuSans-41\"/>\n",
       "      </defs>\n",
       "      <use xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-110\"/>\n",
       "      <use x=\"126.5625\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"188.085938\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "      <use x=\"227.449219\" xlink:href=\"#DejaVuSans-103\"/>\n",
       "      <use x=\"290.925781\" xlink:href=\"#DejaVuSans-121\"/>\n",
       "      <use x=\"350.105469\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "      <use x=\"381.892578\" xlink:href=\"#DejaVuSans-40\"/>\n",
       "      <use x=\"420.90625\" xlink:href=\"#DejaVuSans-107\"/>\n",
       "      <use x=\"475.191406\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"536.714844\" xlink:href=\"#DejaVuSans-86\"/>\n",
       "      <use x=\"605.123047\" xlink:href=\"#DejaVuSans-41\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_2\">\n",
       "    <g id=\"ytick_1\">\n",
       "     <g id=\"line2d_6\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L -3.5 0 \n",
       "\" id=\"m6f078a0936\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m6f078a0936\" y=\"242.128039\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_7\">\n",
       "      <!-- 0 -->\n",
       "      <g transform=\"translate(40.6375 245.927258)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_2\">\n",
       "     <g id=\"line2d_7\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m6f078a0936\" y=\"200.987883\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_8\">\n",
       "      <!-- 100 -->\n",
       "      <g transform=\"translate(27.9125 204.787102)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 12.40625 8.296875 \n",
       "L 28.515625 8.296875 \n",
       "L 28.515625 63.921875 \n",
       "L 10.984375 60.40625 \n",
       "L 10.984375 69.390625 \n",
       "L 28.421875 72.90625 \n",
       "L 38.28125 72.90625 \n",
       "L 38.28125 8.296875 \n",
       "L 54.390625 8.296875 \n",
       "L 54.390625 0 \n",
       "L 12.40625 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-49\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_3\">\n",
       "     <g id=\"line2d_8\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m6f078a0936\" y=\"159.847726\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_9\">\n",
       "      <!-- 200 -->\n",
       "      <g transform=\"translate(27.9125 163.646945)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_4\">\n",
       "     <g id=\"line2d_9\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m6f078a0936\" y=\"118.70757\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_10\">\n",
       "      <!-- 300 -->\n",
       "      <g transform=\"translate(27.9125 122.506789)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 40.578125 39.3125 \n",
       "Q 47.65625 37.796875 51.625 33 \n",
       "Q 55.609375 28.21875 55.609375 21.1875 \n",
       "Q 55.609375 10.40625 48.1875 4.484375 \n",
       "Q 40.765625 -1.421875 27.09375 -1.421875 \n",
       "Q 22.515625 -1.421875 17.65625 -0.515625 \n",
       "Q 12.796875 0.390625 7.625 2.203125 \n",
       "L 7.625 11.71875 \n",
       "Q 11.71875 9.328125 16.59375 8.109375 \n",
       "Q 21.484375 6.890625 26.8125 6.890625 \n",
       "Q 36.078125 6.890625 40.9375 10.546875 \n",
       "Q 45.796875 14.203125 45.796875 21.1875 \n",
       "Q 45.796875 27.640625 41.28125 31.265625 \n",
       "Q 36.765625 34.90625 28.71875 34.90625 \n",
       "L 20.21875 34.90625 \n",
       "L 20.21875 43.015625 \n",
       "L 29.109375 43.015625 \n",
       "Q 36.375 43.015625 40.234375 45.921875 \n",
       "Q 44.09375 48.828125 44.09375 54.296875 \n",
       "Q 44.09375 59.90625 40.109375 62.90625 \n",
       "Q 36.140625 65.921875 28.71875 65.921875 \n",
       "Q 24.65625 65.921875 20.015625 65.03125 \n",
       "Q 15.375 64.15625 9.8125 62.3125 \n",
       "L 9.8125 71.09375 \n",
       "Q 15.4375 72.65625 20.34375 73.4375 \n",
       "Q 25.25 74.21875 29.59375 74.21875 \n",
       "Q 40.828125 74.21875 47.359375 69.109375 \n",
       "Q 53.90625 64.015625 53.90625 55.328125 \n",
       "Q 53.90625 49.265625 50.4375 45.09375 \n",
       "Q 46.96875 40.921875 40.578125 39.3125 \n",
       "z\n",
       "\" id=\"DejaVuSans-51\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-51\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_5\">\n",
       "     <g id=\"line2d_10\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m6f078a0936\" y=\"77.567413\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_11\">\n",
       "      <!-- 400 -->\n",
       "      <g transform=\"translate(27.9125 81.366632)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_6\">\n",
       "     <g id=\"line2d_11\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m6f078a0936\" y=\"36.427257\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_12\">\n",
       "      <!-- 500 -->\n",
       "      <g transform=\"translate(27.9125 40.226476)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 10.796875 72.90625 \n",
       "L 49.515625 72.90625 \n",
       "L 49.515625 64.59375 \n",
       "L 19.828125 64.59375 \n",
       "L 19.828125 46.734375 \n",
       "Q 21.96875 47.46875 24.109375 47.828125 \n",
       "Q 26.265625 48.1875 28.421875 48.1875 \n",
       "Q 40.625 48.1875 47.75 41.5 \n",
       "Q 54.890625 34.8125 54.890625 23.390625 \n",
       "Q 54.890625 11.625 47.5625 5.09375 \n",
       "Q 40.234375 -1.421875 26.90625 -1.421875 \n",
       "Q 22.3125 -1.421875 17.546875 -0.640625 \n",
       "Q 12.796875 0.140625 7.71875 1.703125 \n",
       "L 7.71875 11.625 \n",
       "Q 12.109375 9.234375 16.796875 8.0625 \n",
       "Q 21.484375 6.890625 26.703125 6.890625 \n",
       "Q 35.15625 6.890625 40.078125 11.328125 \n",
       "Q 45.015625 15.765625 45.015625 23.390625 \n",
       "Q 45.015625 31 40.078125 35.4375 \n",
       "Q 35.15625 39.890625 26.703125 39.890625 \n",
       "Q 22.75 39.890625 18.8125 39.015625 \n",
       "Q 14.890625 38.140625 10.796875 36.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-53\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-53\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_13\">\n",
       "     <!-- cm$^2$ -->\n",
       "     <g transform=\"translate(21.832812 153.33)rotate(-90)scale(0.1 -0.1)\">\n",
       "      <defs>\n",
       "       <path d=\"M 48.78125 52.59375 \n",
       "L 48.78125 44.1875 \n",
       "Q 44.96875 46.296875 41.140625 47.34375 \n",
       "Q 37.3125 48.390625 33.40625 48.390625 \n",
       "Q 24.65625 48.390625 19.8125 42.84375 \n",
       "Q 14.984375 37.3125 14.984375 27.296875 \n",
       "Q 14.984375 17.28125 19.8125 11.734375 \n",
       "Q 24.65625 6.203125 33.40625 6.203125 \n",
       "Q 37.3125 6.203125 41.140625 7.25 \n",
       "Q 44.96875 8.296875 48.78125 10.40625 \n",
       "L 48.78125 2.09375 \n",
       "Q 45.015625 0.34375 40.984375 -0.53125 \n",
       "Q 36.96875 -1.421875 32.421875 -1.421875 \n",
       "Q 20.0625 -1.421875 12.78125 6.34375 \n",
       "Q 5.515625 14.109375 5.515625 27.296875 \n",
       "Q 5.515625 40.671875 12.859375 48.328125 \n",
       "Q 20.21875 56 33.015625 56 \n",
       "Q 37.15625 56 41.109375 55.140625 \n",
       "Q 45.0625 54.296875 48.78125 52.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-99\"/>\n",
       "       <path d=\"M 52 44.1875 \n",
       "Q 55.375 50.25 60.0625 53.125 \n",
       "Q 64.75 56 71.09375 56 \n",
       "Q 79.640625 56 84.28125 50.015625 \n",
       "Q 88.921875 44.046875 88.921875 33.015625 \n",
       "L 88.921875 0 \n",
       "L 79.890625 0 \n",
       "L 79.890625 32.71875 \n",
       "Q 79.890625 40.578125 77.09375 44.375 \n",
       "Q 74.3125 48.1875 68.609375 48.1875 \n",
       "Q 61.625 48.1875 57.5625 43.546875 \n",
       "Q 53.515625 38.921875 53.515625 30.90625 \n",
       "L 53.515625 0 \n",
       "L 44.484375 0 \n",
       "L 44.484375 32.71875 \n",
       "Q 44.484375 40.625 41.703125 44.40625 \n",
       "Q 38.921875 48.1875 33.109375 48.1875 \n",
       "Q 26.21875 48.1875 22.15625 43.53125 \n",
       "Q 18.109375 38.875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.1875 51.21875 25.484375 53.609375 \n",
       "Q 29.78125 56 35.6875 56 \n",
       "Q 41.65625 56 45.828125 52.96875 \n",
       "Q 50 49.953125 52 44.1875 \n",
       "z\n",
       "\" id=\"DejaVuSans-109\"/>\n",
       "      </defs>\n",
       "      <use transform=\"translate(0 0.765625)\" xlink:href=\"#DejaVuSans-99\"/>\n",
       "      <use transform=\"translate(54.980469 0.765625)\" xlink:href=\"#DejaVuSans-109\"/>\n",
       "      <use transform=\"translate(153.349609 39.046875)scale(0.7)\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_12\">\n",
       "    <path clip-path=\"url(#pcecec8ca6a)\" d=\"M 69.218182 242.116364 \n",
       "L 70.232727 242.019593 \n",
       "L 70.232727 241.938252 \n",
       "L 70.90909 241.828595 \n",
       "L 70.90909 241.699998 \n",
       "L 71.247273 241.699998 \n",
       "L 71.247273 241.553344 \n",
       "L 71.585454 241.553344 \n",
       "L 71.585454 241.335241 \n",
       "L 71.923636 241.335241 \n",
       "L 71.923636 241.050943 \n",
       "L 72.261817 241.050943 \n",
       "L 72.261817 240.690889 \n",
       "L 72.938181 240.654095 \n",
       "L 72.938181 240.118855 \n",
       "L 73.276363 240.118855 \n",
       "L 73.276363 239.421283 \n",
       "L 73.614545 239.421283 \n",
       "L 73.614545 238.617063 \n",
       "L 73.952727 238.617063 \n",
       "L 73.952727 237.79699 \n",
       "L 74.290908 237.79699 \n",
       "L 74.290908 236.849771 \n",
       "L 74.629091 236.849771 \n",
       "L 74.629091 235.82551 \n",
       "L 74.967272 235.82551 \n",
       "L 74.967272 234.680647 \n",
       "L 75.305454 234.680647 \n",
       "L 75.305454 233.387664 \n",
       "L 75.643636 233.387664 \n",
       "L 75.643636 231.995622 \n",
       "L 75.981818 231.995622 \n",
       "L 75.981818 230.363837 \n",
       "L 76.319999 230.363837 \n",
       "L 76.319999 228.482095 \n",
       "L 76.658181 228.482095 \n",
       "L 76.658181 226.80568 \n",
       "L 76.996362 226.80568 \n",
       "L 76.996362 232.028198 \n",
       "L 77.334546 232.028198 \n",
       "L 77.334546 237.400477 \n",
       "L 77.672727 237.400477 \n",
       "L 77.672727 235.463605 \n",
       "L 78.34909 235.485625 \n",
       "L 78.34909 232.206898 \n",
       "L 78.687272 232.206898 \n",
       "L 78.687272 230.535069 \n",
       "L 79.025453 230.535069 \n",
       "L 79.025453 229.194732 \n",
       "L 79.363637 229.194732 \n",
       "L 79.363637 228.217521 \n",
       "L 79.701818 228.217521 \n",
       "L 79.701818 227.163218 \n",
       "L 80.04 227.163218 \n",
       "L 80.04 225.264331 \n",
       "L 80.378181 225.264331 \n",
       "L 80.378181 223.323853 \n",
       "L 80.716363 223.323853 \n",
       "L 80.716363 221.437552 \n",
       "L 81.054544 221.437552 \n",
       "L 81.054544 219.298394 \n",
       "L 81.392728 219.298394 \n",
       "L 81.392728 216.985368 \n",
       "L 81.730909 216.985368 \n",
       "L 81.730909 214.707691 \n",
       "L 82.06909 214.707691 \n",
       "L 82.06909 212.468595 \n",
       "L 82.407272 212.468595 \n",
       "L 82.407272 214.462336 \n",
       "L 82.745453 214.462336 \n",
       "L 82.745453 212.341712 \n",
       "L 83.083635 212.341712 \n",
       "L 83.083635 210.097945 \n",
       "L 83.421818 210.097945 \n",
       "L 83.421818 207.78228 \n",
       "L 83.76 207.78228 \n",
       "L 83.76 205.344184 \n",
       "L 84.098181 205.344184 \n",
       "L 84.098181 202.887285 \n",
       "L 84.436363 202.887285 \n",
       "L 84.436363 200.275253 \n",
       "L 84.774544 200.275253 \n",
       "L 84.774544 197.657427 \n",
       "L 85.112726 197.657427 \n",
       "L 85.112726 194.981166 \n",
       "L 85.450907 194.981166 \n",
       "L 85.450907 192.250094 \n",
       "L 85.789091 192.250094 \n",
       "L 85.789091 189.432876 \n",
       "L 86.127272 189.432876 \n",
       "L 86.127272 186.60036 \n",
       "L 86.465454 186.60036 \n",
       "L 86.465454 183.782018 \n",
       "L 86.803635 183.782018 \n",
       "L 86.803635 180.954021 \n",
       "L 87.141817 180.954021 \n",
       "L 87.141817 178.200558 \n",
       "L 87.479998 178.200558 \n",
       "L 87.479998 175.351676 \n",
       "L 87.818182 175.351676 \n",
       "L 87.818182 172.670535 \n",
       "L 88.156363 172.670535 \n",
       "L 88.156363 169.875608 \n",
       "L 88.494545 169.875608 \n",
       "L 88.494545 167.248774 \n",
       "L 88.832726 167.248774 \n",
       "L 88.832726 164.542473 \n",
       "L 89.170908 164.542473 \n",
       "L 89.170908 161.834878 \n",
       "L 89.509089 161.834878 \n",
       "L 89.509089 159.17525 \n",
       "L 89.847273 159.17525 \n",
       "L 89.847273 156.638743 \n",
       "L 90.185454 156.638743 \n",
       "L 90.185454 154.092549 \n",
       "L 90.523636 154.092549 \n",
       "L 90.523636 151.533405 \n",
       "L 90.861817 151.533405 \n",
       "L 90.861817 149.004913 \n",
       "L 91.199999 149.004913 \n",
       "L 91.199999 146.470371 \n",
       "L 91.53818 146.470371 \n",
       "L 91.53818 143.952218 \n",
       "L 91.876364 143.952218 \n",
       "L 91.876364 141.401944 \n",
       "L 92.214545 141.401944 \n",
       "L 92.214545 138.92221 \n",
       "L 92.552727 138.92221 \n",
       "L 92.552727 136.519746 \n",
       "L 92.890908 136.519746 \n",
       "L 92.890908 134.085335 \n",
       "L 93.22909 134.085335 \n",
       "L 93.22909 131.55837 \n",
       "L 93.567271 131.55837 \n",
       "L 93.567271 129.023632 \n",
       "L 93.905453 129.023632 \n",
       "L 93.905453 126.478989 \n",
       "L 94.243634 126.478989 \n",
       "L 94.243634 124.155652 \n",
       "L 94.581816 124.155652 \n",
       "L 94.581816 121.877577 \n",
       "L 94.919997 121.877577 \n",
       "L 94.919997 119.591164 \n",
       "L 95.258183 119.591164 \n",
       "L 95.258183 117.327589 \n",
       "L 95.596364 117.327589 \n",
       "L 95.596364 115.08252 \n",
       "L 95.934546 115.08252 \n",
       "L 95.934546 113.033209 \n",
       "L 96.272727 113.033209 \n",
       "L 96.272727 110.929258 \n",
       "L 96.610909 110.929258 \n",
       "L 96.610909 108.745759 \n",
       "L 96.94909 108.745759 \n",
       "L 96.94909 106.586365 \n",
       "L 97.287272 106.586365 \n",
       "L 97.287272 104.468227 \n",
       "L 97.625453 104.468227 \n",
       "L 97.625453 102.35319 \n",
       "L 97.963635 102.35319 \n",
       "L 97.963635 100.430182 \n",
       "L 98.301816 100.430182 \n",
       "L 98.301816 98.511869 \n",
       "L 98.639998 98.511869 \n",
       "L 98.639998 96.583964 \n",
       "L 98.978179 96.583964 \n",
       "L 98.978179 94.656862 \n",
       "L 99.316365 94.656862 \n",
       "L 99.316365 92.70057 \n",
       "L 99.654546 92.70057 \n",
       "L 99.654546 90.797072 \n",
       "L 99.992728 90.797072 \n",
       "L 99.992728 88.963053 \n",
       "L 100.330909 88.963053 \n",
       "L 100.330909 87.295928 \n",
       "L 100.669091 87.295928 \n",
       "L 100.669091 85.61636 \n",
       "L 101.007272 85.61636 \n",
       "L 101.007272 83.950679 \n",
       "L 101.345454 83.950679 \n",
       "L 101.345454 82.291626 \n",
       "L 101.683635 82.291626 \n",
       "L 101.683635 80.633289 \n",
       "L 102.021816 80.633289 \n",
       "L 102.021816 78.978957 \n",
       "L 102.359998 78.978957 \n",
       "L 102.359998 77.34691 \n",
       "L 102.698179 77.34691 \n",
       "L 102.698179 75.757902 \n",
       "L 103.036361 75.757902 \n",
       "L 103.036361 74.242302 \n",
       "L 103.374542 74.242302 \n",
       "L 103.374542 72.88413 \n",
       "L 103.712728 72.88413 \n",
       "L 103.712728 71.464162 \n",
       "L 104.050909 71.464162 \n",
       "L 104.050909 70.021306 \n",
       "L 104.389091 70.021306 \n",
       "L 104.389091 68.581011 \n",
       "L 104.727272 68.581011 \n",
       "L 104.727272 67.164659 \n",
       "L 105.065454 67.164659 \n",
       "L 105.065454 65.721954 \n",
       "L 105.403635 65.721954 \n",
       "L 105.403635 64.255344 \n",
       "L 105.741817 64.255344 \n",
       "L 105.741817 62.845143 \n",
       "L 106.079998 62.845143 \n",
       "L 106.079998 61.553324 \n",
       "L 106.41818 61.553324 \n",
       "L 106.41818 60.353595 \n",
       "L 106.756361 60.353595 \n",
       "L 106.756361 59.131205 \n",
       "L 107.094543 59.131205 \n",
       "L 107.094543 57.898871 \n",
       "L 107.432724 57.898871 \n",
       "L 107.432724 56.638363 \n",
       "L 107.77091 56.638363 \n",
       "L 107.77091 55.436312 \n",
       "L 108.109091 55.436312 \n",
       "L 108.109091 54.276709 \n",
       "L 108.447273 54.276709 \n",
       "L 108.447273 53.142994 \n",
       "L 108.785454 53.142994 \n",
       "L 108.785454 52.014979 \n",
       "L 109.123636 52.014979 \n",
       "L 109.123636 50.882671 \n",
       "L 109.461817 50.882671 \n",
       "L 109.461817 49.757406 \n",
       "L 109.799999 49.757406 \n",
       "L 109.799999 48.721645 \n",
       "L 110.13818 48.721645 \n",
       "L 110.13818 47.786111 \n",
       "L 110.476362 47.786111 \n",
       "L 110.476362 46.824324 \n",
       "L 110.814543 46.824324 \n",
       "L 110.814543 45.936637 \n",
       "L 111.152725 45.936637 \n",
       "L 111.152725 44.443636 \n",
       "L 111.490906 44.443636 \n",
       "L 111.490906 64.345275 \n",
       "L 111.829088 64.345275 \n",
       "L 111.829088 85.280364 \n",
       "L 112.167273 85.280364 \n",
       "L 112.167273 77.205152 \n",
       "L 112.505455 77.205152 \n",
       "L 112.505455 70.90313 \n",
       "L 112.843636 70.90313 \n",
       "L 112.843636 74.793491 \n",
       "L 113.181818 74.793491 \n",
       "L 113.181818 71.896279 \n",
       "L 113.519999 71.896279 \n",
       "L 113.519999 66.760778 \n",
       "L 113.858181 66.760778 \n",
       "L 113.858181 68.155021 \n",
       "L 114.196362 68.155021 \n",
       "L 114.196362 68.295059 \n",
       "L 114.534544 68.295059 \n",
       "L 114.534544 67.256574 \n",
       "L 114.872725 67.256574 \n",
       "L 114.872725 64.359173 \n",
       "L 115.210907 64.359173 \n",
       "L 115.210907 63.185383 \n",
       "L 116.225455 63.226928 \n",
       "L 116.225455 62.311845 \n",
       "L 116.563637 62.311845 \n",
       "L 116.563637 60.795141 \n",
       "L 116.901818 60.795141 \n",
       "L 116.901818 59.636969 \n",
       "L 117.24 59.636969 \n",
       "L 117.24 58.693061 \n",
       "L 117.578181 58.693061 \n",
       "L 117.578181 57.941959 \n",
       "L 117.916363 57.941959 \n",
       "L 117.916363 57.515241 \n",
       "L 118.254544 57.515241 \n",
       "L 118.254544 56.89338 \n",
       "L 118.592726 56.89338 \n",
       "L 118.592726 55.724034 \n",
       "L 118.930907 55.724034 \n",
       "L 118.930907 54.896234 \n",
       "L 119.269089 54.896234 \n",
       "L 119.269089 53.999307 \n",
       "L 119.60727 53.999307 \n",
       "L 119.60727 53.658213 \n",
       "L 119.945452 53.658213 \n",
       "L 119.945452 53.218851 \n",
       "L 120.283633 53.218851 \n",
       "L 120.283633 52.688466 \n",
       "L 120.621819 52.688466 \n",
       "L 120.621819 52.257667 \n",
       "L 120.96 52.257667 \n",
       "L 120.96 52.070058 \n",
       "L 121.298182 52.070058 \n",
       "L 121.298182 122.363341 \n",
       "L 121.636363 122.363341 \n",
       "L 121.636363 128.108123 \n",
       "L 121.974544 128.108123 \n",
       "L 121.974544 128.590398 \n",
       "L 122.312726 128.590398 \n",
       "L 122.312726 111.734195 \n",
       "L 122.650907 111.734195 \n",
       "L 122.650907 111.234294 \n",
       "L 123.32727 111.342668 \n",
       "L 123.32727 112.807018 \n",
       "L 123.665452 112.807018 \n",
       "L 123.665452 107.102714 \n",
       "L 124.003633 107.102714 \n",
       "L 124.003633 107.874694 \n",
       "L 124.68 107.773237 \n",
       "L 124.68 106.265748 \n",
       "L 125.018182 106.265748 \n",
       "L 125.018182 105.274357 \n",
       "L 125.694545 105.280296 \n",
       "L 125.694545 103.601117 \n",
       "L 126.032726 103.601117 \n",
       "L 126.032726 101.700005 \n",
       "L 126.370908 101.700005 \n",
       "L 126.370908 101.893703 \n",
       "L 126.709089 101.893703 \n",
       "L 126.709089 102.670454 \n",
       "L 127.047271 102.670454 \n",
       "L 127.047271 104.72991 \n",
       "L 127.385452 104.72991 \n",
       "L 127.385452 107.097415 \n",
       "L 127.723634 107.097415 \n",
       "L 127.723634 109.379396 \n",
       "L 128.061815 109.379396 \n",
       "L 128.061815 113.329544 \n",
       "L 128.399997 113.329544 \n",
       "L 128.399997 124.393808 \n",
       "L 128.738178 124.393808 \n",
       "L 128.738178 137.427245 \n",
       "L 129.07636 137.427245 \n",
       "L 129.07636 155.055453 \n",
       "L 129.414541 155.055453 \n",
       "L 129.414541 161.683296 \n",
       "L 129.752723 161.683296 \n",
       "L 129.752723 159.28537 \n",
       "L 130.090904 159.28537 \n",
       "L 130.090904 158.03055 \n",
       "L 130.429086 158.03055 \n",
       "L 130.429086 157.784742 \n",
       "L 130.767267 157.784742 \n",
       "L 130.767267 161.176508 \n",
       "L 131.105457 161.176508 \n",
       "L 131.105457 164.253463 \n",
       "L 131.443638 164.253463 \n",
       "L 131.443638 166.671734 \n",
       "L 131.78182 166.671734 \n",
       "L 131.78182 170.624412 \n",
       "L 132.120001 170.624412 \n",
       "L 132.120001 168.76544 \n",
       "L 132.458183 168.76544 \n",
       "L 132.458183 165.494021 \n",
       "L 132.796364 165.494021 \n",
       "L 132.796364 164.867257 \n",
       "L 133.134546 164.867257 \n",
       "L 133.134546 162.640192 \n",
       "L 133.472727 162.640192 \n",
       "L 133.472727 160.857574 \n",
       "L 133.810909 160.857574 \n",
       "L 133.810909 157.9977 \n",
       "L 134.14909 157.9977 \n",
       "L 134.14909 156.289783 \n",
       "L 134.487272 156.289783 \n",
       "L 134.487272 154.842113 \n",
       "L 134.825453 154.842113 \n",
       "L 134.825453 154.04678 \n",
       "L 135.163635 154.04678 \n",
       "L 135.163635 154.299624 \n",
       "L 135.501816 154.299624 \n",
       "L 135.501816 153.163273 \n",
       "L 135.839998 153.163273 \n",
       "L 135.839998 150.723608 \n",
       "L 136.178179 150.723608 \n",
       "L 136.178179 148.857631 \n",
       "L 136.516361 148.857631 \n",
       "L 136.516361 147.528718 \n",
       "L 136.854542 147.528718 \n",
       "L 136.854542 147.085766 \n",
       "L 137.192724 147.085766 \n",
       "L 137.192724 146.541947 \n",
       "L 137.530905 146.541947 \n",
       "L 137.530905 146.678953 \n",
       "L 137.869087 146.678953 \n",
       "L 137.869087 145.396135 \n",
       "L 138.207268 145.396135 \n",
       "L 138.207268 143.776869 \n",
       "L 138.54545 143.776869 \n",
       "L 138.54545 142.689997 \n",
       "L 138.883631 142.689997 \n",
       "L 138.883631 141.245616 \n",
       "L 139.221813 141.245616 \n",
       "L 139.221813 140.471915 \n",
       "L 139.560002 140.471915 \n",
       "L 139.560002 140.320578 \n",
       "L 140.236365 140.360383 \n",
       "L 140.236365 139.863288 \n",
       "L 140.574547 139.863288 \n",
       "L 140.574547 138.809686 \n",
       "L 140.912728 138.809686 \n",
       "L 140.912728 137.960047 \n",
       "L 141.25091 137.960047 \n",
       "L 141.25091 137.404508 \n",
       "L 141.589091 137.404508 \n",
       "L 141.589091 136.904688 \n",
       "L 141.927272 136.904688 \n",
       "L 141.927272 136.399331 \n",
       "L 142.265454 136.399331 \n",
       "L 142.265454 136.285872 \n",
       "L 142.603635 136.285872 \n",
       "L 142.603635 136.480813 \n",
       "L 142.941817 136.480813 \n",
       "L 142.941817 136.596658 \n",
       "L 144.294543 136.623551 \n",
       "L 144.294543 137.072058 \n",
       "L 144.632724 137.072058 \n",
       "L 144.632724 138.738914 \n",
       "L 144.970906 138.738914 \n",
       "L 144.970906 145.089084 \n",
       "L 145.309087 145.089084 \n",
       "L 145.309087 145.668666 \n",
       "L 145.647269 145.668666 \n",
       "L 145.647269 141.464669 \n",
       "L 145.98545 141.464669 \n",
       "L 145.98545 139.92416 \n",
       "L 146.323632 139.92416 \n",
       "L 146.323632 139.021865 \n",
       "L 146.661813 139.021865 \n",
       "L 146.661813 137.736662 \n",
       "L 146.999995 137.736662 \n",
       "L 146.999995 137.219372 \n",
       "L 147.338176 137.219372 \n",
       "L 147.338176 136.020736 \n",
       "L 147.676358 136.020736 \n",
       "L 147.676358 135.137706 \n",
       "L 148.014547 135.137706 \n",
       "L 148.014547 134.289442 \n",
       "L 148.352729 134.289442 \n",
       "L 148.352729 133.87332 \n",
       "L 148.69091 133.87332 \n",
       "L 148.69091 133.528811 \n",
       "L 149.029092 133.528811 \n",
       "L 149.029092 133.070642 \n",
       "L 149.367273 133.070642 \n",
       "L 149.367273 132.61172 \n",
       "L 149.705455 132.61172 \n",
       "L 149.705455 132.018623 \n",
       "L 150.043636 132.018623 \n",
       "L 150.043636 131.309367 \n",
       "L 150.381818 131.309367 \n",
       "L 150.381818 130.974651 \n",
       "L 150.719999 130.974651 \n",
       "L 150.719999 130.644555 \n",
       "L 151.058181 130.644555 \n",
       "L 151.058181 130.191735 \n",
       "L 151.396362 130.191735 \n",
       "L 151.396362 129.721526 \n",
       "L 151.734544 129.721526 \n",
       "L 151.734544 129.327036 \n",
       "L 152.072725 129.327036 \n",
       "L 152.072725 128.875207 \n",
       "L 152.410907 128.875207 \n",
       "L 152.410907 128.389505 \n",
       "L 152.749088 128.389505 \n",
       "L 152.749088 128.044808 \n",
       "L 153.08727 128.044808 \n",
       "L 153.08727 127.814136 \n",
       "L 153.425451 127.814136 \n",
       "L 153.425451 127.65991 \n",
       "L 153.763633 127.65991 \n",
       "L 153.763633 127.537311 \n",
       "L 154.101814 127.537311 \n",
       "L 154.101814 127.371912 \n",
       "L 154.439996 127.371912 \n",
       "L 154.439996 127.099921 \n",
       "L 154.778177 127.099921 \n",
       "L 154.778177 126.712336 \n",
       "L 155.116359 126.712336 \n",
       "L 155.116359 126.32838 \n",
       "L 155.45454 126.32838 \n",
       "L 155.45454 126.039201 \n",
       "L 155.792722 126.039201 \n",
       "L 155.792722 125.903871 \n",
       "L 156.469093 125.997794 \n",
       "L 156.469093 126.348141 \n",
       "L 156.807274 126.348141 \n",
       "L 156.807274 127.119155 \n",
       "L 157.145456 127.119155 \n",
       "L 157.145456 129.092132 \n",
       "L 157.483637 129.092132 \n",
       "L 157.483637 128.609983 \n",
       "L 157.821819 128.609983 \n",
       "L 157.821819 127.457939 \n",
       "L 158.16 127.457939 \n",
       "L 158.16 126.847365 \n",
       "L 158.498182 126.847365 \n",
       "L 158.498182 126.411468 \n",
       "L 158.836363 126.411468 \n",
       "L 158.836363 126.048491 \n",
       "L 159.174545 126.048491 \n",
       "L 159.174545 125.811315 \n",
       "L 159.512726 125.811315 \n",
       "L 159.512726 125.469619 \n",
       "L 159.850908 125.469619 \n",
       "L 159.850908 125.022586 \n",
       "L 160.189089 125.022586 \n",
       "L 160.189089 124.586138 \n",
       "L 160.527271 124.586138 \n",
       "L 160.527271 124.281981 \n",
       "L 160.865452 124.281981 \n",
       "L 160.865452 124.002557 \n",
       "L 161.203633 124.002557 \n",
       "L 161.203633 123.706599 \n",
       "L 161.541815 123.706599 \n",
       "L 161.541815 123.491356 \n",
       "L 161.879996 123.491356 \n",
       "L 161.879996 123.279993 \n",
       "L 162.218178 123.279993 \n",
       "L 162.218178 123.052497 \n",
       "L 162.556359 123.052497 \n",
       "L 162.556359 122.885541 \n",
       "L 162.894541 122.885541 \n",
       "L 162.894541 122.748126 \n",
       "L 163.232722 122.748126 \n",
       "L 163.232722 122.596437 \n",
       "L 163.570904 122.596437 \n",
       "L 163.570904 122.414227 \n",
       "L 163.909085 122.414227 \n",
       "L 163.909085 122.222525 \n",
       "L 164.247267 122.222525 \n",
       "L 164.247267 122.025072 \n",
       "L 164.585448 122.025072 \n",
       "L 164.585448 121.898029 \n",
       "L 165.600001 121.976271 \n",
       "L 165.600001 122.229945 \n",
       "L 165.938182 122.229945 \n",
       "L 165.938182 122.764912 \n",
       "L 166.276364 122.764912 \n",
       "L 166.276364 123.628783 \n",
       "L 166.614545 123.628783 \n",
       "L 166.614545 124.302935 \n",
       "L 166.952727 124.302935 \n",
       "L 166.952727 123.707867 \n",
       "L 167.290908 123.707867 \n",
       "L 167.290908 123.222253 \n",
       "L 167.62909 123.222253 \n",
       "L 167.62909 122.929295 \n",
       "L 167.967271 122.929295 \n",
       "L 167.967271 122.357528 \n",
       "L 168.305453 122.357528 \n",
       "L 168.305453 122.066692 \n",
       "L 168.643634 122.066692 \n",
       "L 168.643634 121.91494 \n",
       "L 168.981816 121.91494 \n",
       "L 168.981816 121.656119 \n",
       "L 169.319997 121.656119 \n",
       "L 169.319997 121.376608 \n",
       "L 169.658179 121.376608 \n",
       "L 169.658179 121.09672 \n",
       "L 169.99636 121.09672 \n",
       "L 169.99636 120.887893 \n",
       "L 170.334542 120.887893 \n",
       "L 170.334542 120.67894 \n",
       "L 170.672723 120.67894 \n",
       "L 170.672723 120.540019 \n",
       "L 171.349086 120.471331 \n",
       "L 171.349086 120.402718 \n",
       "L 171.687268 120.402718 \n",
       "L 171.687268 120.173351 \n",
       "L 172.025449 120.173351 \n",
       "L 172.025449 119.943984 \n",
       "L 172.363631 119.943984 \n",
       "L 172.363631 119.705389 \n",
       "L 172.701812 119.705389 \n",
       "L 172.701812 119.457843 \n",
       "L 173.039994 119.457843 \n",
       "L 173.039994 119.210171 \n",
       "L 173.716365 119.146454 \n",
       "L 173.716365 119.085324 \n",
       "L 174.392728 118.983227 \n",
       "L 174.392728 118.84015 \n",
       "L 174.730909 118.84015 \n",
       "L 174.730909 118.697049 \n",
       "L 176.421817 118.595856 \n",
       "L 176.421817 118.514462 \n",
       "L 177.09818 118.427418 \n",
       "L 177.09818 118.340512 \n",
       "L 177.774543 118.262031 \n",
       "L 177.774543 118.191899 \n",
       "L 178.789087 118.088572 \n",
       "L 178.789087 118.055439 \n",
       "L 180.141813 117.945935 \n",
       "L 180.141813 117.942507 \n",
       "L 181.494539 117.8724 \n",
       "L 181.494539 117.829198 \n",
       "L 184.53818 117.93854 \n",
       "L 184.53818 117.961892 \n",
       "L 185.552725 118.067027 \n",
       "L 185.552725 118.148798 \n",
       "L 186.229088 118.219445 \n",
       "L 186.229088 118.279131 \n",
       "L 186.905451 118.338843 \n",
       "L 186.905451 118.398692 \n",
       "L 187.581814 118.45863 \n",
       "L 187.581814 118.544656 \n",
       "L 187.919995 118.544656 \n",
       "L 187.919995 118.656823 \n",
       "L 188.258177 118.656823 \n",
       "L 188.258177 118.769052 \n",
       "L 188.93454 118.83553 \n",
       "L 188.93454 118.90236 \n",
       "L 189.610903 118.996749 \n",
       "L 189.610903 119.118858 \n",
       "L 189.949084 119.118858 \n",
       "L 189.949084 119.240993 \n",
       "L 190.625455 119.343542 \n",
       "L 190.625455 119.446154 \n",
       "L 190.963637 119.446154 \n",
       "L 190.963637 119.559902 \n",
       "L 191.301818 119.559902 \n",
       "L 191.301818 119.684686 \n",
       "L 191.64 119.684686 \n",
       "L 191.64 119.809633 \n",
       "L 192.654544 119.897882 \n",
       "L 192.654544 119.934907 \n",
       "L 193.669089 119.994656 \n",
       "L 193.669089 120.059364 \n",
       "L 194.345452 120.124173 \n",
       "L 194.345452 120.205002 \n",
       "L 195.021815 120.277859 \n",
       "L 195.021815 120.350866 \n",
       "L 195.360004 120.350866 \n",
       "L 195.360004 120.573855 \n",
       "L 195.698178 120.573855 \n",
       "L 195.698178 120.796806 \n",
       "L 196.036367 120.796806 \n",
       "L 196.036367 120.998063 \n",
       "L 196.374541 120.998063 \n",
       "L 196.374541 121.177724 \n",
       "L 196.71273 121.177724 \n",
       "L 196.71273 121.357286 \n",
       "L 197.050904 121.357286 \n",
       "L 197.050904 121.562434 \n",
       "L 197.389093 121.562434 \n",
       "L 197.389093 121.767495 \n",
       "L 197.727267 121.767495 \n",
       "L 197.727267 121.961205 \n",
       "L 198.065456 121.961205 \n",
       "L 198.065456 122.143416 \n",
       "L 198.40363 122.143416 \n",
       "L 198.40363 122.325601 \n",
       "L 198.741819 122.325601 \n",
       "L 198.741819 122.54451 \n",
       "L 199.079993 122.54451 \n",
       "L 199.079993 122.763255 \n",
       "L 199.418182 122.763255 \n",
       "L 199.418182 122.973802 \n",
       "L 199.756355 122.973802 \n",
       "L 199.756355 123.176013 \n",
       "L 200.094545 123.176013 \n",
       "L 200.094545 123.378261 \n",
       "L 200.432718 123.378261 \n",
       "L 200.432718 123.584677 \n",
       "L 200.770908 123.584677 \n",
       "L 200.770908 123.790968 \n",
       "L 201.109081 123.790968 \n",
       "L 201.109081 124.010278 \n",
       "L 201.447271 124.010278 \n",
       "L 201.447271 124.242445 \n",
       "L 201.785444 124.242445 \n",
       "L 201.785444 124.474536 \n",
       "L 202.123634 124.474536 \n",
       "L 202.123634 124.723138 \n",
       "L 202.461807 124.723138 \n",
       "L 202.461807 124.971563 \n",
       "L 202.799997 124.971563 \n",
       "L 202.799997 125.214401 \n",
       "L 203.138186 125.214401 \n",
       "L 203.138186 125.451577 \n",
       "L 203.47636 125.451577 \n",
       "L 203.47636 125.688603 \n",
       "L 203.814549 125.688603 \n",
       "L 203.814549 125.951517 \n",
       "L 204.152723 125.951517 \n",
       "L 204.152723 126.21423 \n",
       "L 204.490912 126.21423 \n",
       "L 204.490912 126.483007 \n",
       "L 204.829086 126.483007 \n",
       "L 204.829086 126.757911 \n",
       "L 205.167275 126.757911 \n",
       "L 205.167275 127.057171 \n",
       "L 205.505449 127.057171 \n",
       "L 205.505449 127.326676 \n",
       "L 205.843638 127.326676 \n",
       "L 205.843638 127.59588 \n",
       "L 206.181812 127.59588 \n",
       "L 206.181812 127.89784 \n",
       "L 206.520001 127.89784 \n",
       "L 206.520001 128.232392 \n",
       "L 206.858175 128.232392 \n",
       "L 206.858175 128.566556 \n",
       "L 207.196364 128.566556 \n",
       "L 207.196364 128.845151 \n",
       "L 207.534538 128.845151 \n",
       "L 207.534538 129.123444 \n",
       "L 207.872727 129.123444 \n",
       "L 207.872727 129.431945 \n",
       "L 208.210901 129.431945 \n",
       "L 208.210901 129.77044 \n",
       "L 208.54909 129.77044 \n",
       "L 208.54909 130.108533 \n",
       "L 208.887264 130.108533 \n",
       "L 208.887264 130.413381 \n",
       "L 209.225453 130.413381 \n",
       "L 209.225453 130.717939 \n",
       "L 209.563627 130.717939 \n",
       "L 209.563627 131.043854 \n",
       "L 209.901816 131.043854 \n",
       "L 209.901816 131.391112 \n",
       "L 210.23999 131.391112 \n",
       "L 210.23999 131.737906 \n",
       "L 210.578179 131.737906 \n",
       "L 210.578179 132.044373 \n",
       "L 210.916353 132.044373 \n",
       "L 210.916353 132.350413 \n",
       "L 211.254542 132.350413 \n",
       "L 211.254542 132.674344 \n",
       "L 211.592732 132.674344 \n",
       "L 211.592732 133.016153 \n",
       "L 211.930905 133.016153 \n",
       "L 211.930905 133.357385 \n",
       "L 212.269095 133.357385 \n",
       "L 212.269095 133.692314 \n",
       "L 212.607268 133.692314 \n",
       "L 212.607268 134.026792 \n",
       "L 212.945458 134.026792 \n",
       "L 212.945458 134.388212 \n",
       "L 213.283631 134.388212 \n",
       "L 213.283631 134.776412 \n",
       "L 213.621821 134.776412 \n",
       "L 213.621821 135.163934 \n",
       "L 213.959994 135.163934 \n",
       "L 213.959994 135.526409 \n",
       "L 214.298184 135.526409 \n",
       "L 214.298184 135.888306 \n",
       "L 214.636357 135.888306 \n",
       "L 214.636357 136.259632 \n",
       "L 214.974547 136.259632 \n",
       "L 214.974547 136.640299 \n",
       "L 215.31272 136.640299 \n",
       "L 215.31272 137.032039 \n",
       "L 215.65091 137.032039 \n",
       "L 215.65091 137.397207 \n",
       "L 215.989083 137.397207 \n",
       "L 215.989083 137.761603 \n",
       "L 216.327273 137.761603 \n",
       "L 216.327273 138.156677 \n",
       "L 216.665446 138.156677 \n",
       "L 216.665446 138.582247 \n",
       "L 217.003636 138.582247 \n",
       "L 217.003636 139.006894 \n",
       "L 217.341809 139.006894 \n",
       "L 217.341809 139.370178 \n",
       "L 217.679999 139.370178 \n",
       "L 217.679999 139.732804 \n",
       "L 218.018172 139.732804 \n",
       "L 218.018172 140.11536 \n",
       "L 218.356362 140.11536 \n",
       "L 218.356362 140.517785 \n",
       "L 218.694535 140.517785 \n",
       "L 218.694535 140.9193 \n",
       "L 219.032725 140.9193 \n",
       "L 219.032725 141.305359 \n",
       "L 219.370898 141.305359 \n",
       "L 219.370898 141.690621 \n",
       "L 219.709088 141.690621 \n",
       "L 219.709088 142.084973 \n",
       "L 220.047277 142.084973 \n",
       "L 220.047277 142.488352 \n",
       "L 220.38545 142.488352 \n",
       "L 220.38545 142.890921 \n",
       "L 220.72364 142.890921 \n",
       "L 220.72364 143.278386 \n",
       "L 221.061813 143.278386 \n",
       "L 221.061813 143.665023 \n",
       "L 221.400003 143.665023 \n",
       "L 221.400003 144.06962 \n",
       "L 221.738176 144.06962 \n",
       "L 221.738176 144.492007 \n",
       "L 222.076366 144.492007 \n",
       "L 222.076366 144.913472 \n",
       "L 222.414539 144.913472 \n",
       "L 222.414539 145.281376 \n",
       "L 222.752729 145.281376 \n",
       "L 222.752729 145.648584 \n",
       "L 223.090902 145.648584 \n",
       "L 223.090902 146.045906 \n",
       "L 223.429092 146.045906 \n",
       "L 223.429092 146.47307 \n",
       "L 223.767265 146.47307 \n",
       "L 223.767265 146.899312 \n",
       "L 224.105455 146.899312 \n",
       "L 224.105455 147.285151 \n",
       "L 224.443628 147.285151 \n",
       "L 224.443628 147.670206 \n",
       "L 224.781818 147.670206 \n",
       "L 224.781818 148.07496 \n",
       "L 225.119991 148.07496 \n",
       "L 225.119991 148.513555 \n",
       "L 225.458181 148.513555 \n",
       "L 225.458181 148.961862 \n",
       "L 225.796354 148.961862 \n",
       "L 225.796354 149.388035 \n",
       "L 226.134544 149.388035 \n",
       "L 226.134544 149.813146 \n",
       "L 226.472717 149.813146 \n",
       "L 226.472717 150.239802 \n",
       "L 226.810907 150.239802 \n",
       "L 226.810907 150.668021 \n",
       "L 227.14908 150.668021 \n",
       "L 227.14908 151.095098 \n",
       "L 227.48727 151.095098 \n",
       "L 227.48727 151.534083 \n",
       "L 227.825443 151.534083 \n",
       "L 227.825443 151.97185 \n",
       "L 228.163633 151.97185 \n",
       "L 228.163633 152.412925 \n",
       "L 228.501822 152.412925 \n",
       "L 228.501822 152.857321 \n",
       "L 228.839996 152.857321 \n",
       "L 228.839996 153.300411 \n",
       "L 229.178185 153.300411 \n",
       "L 229.178185 153.730244 \n",
       "L 229.516359 153.730244 \n",
       "L 229.516359 154.158958 \n",
       "L 229.854548 154.158958 \n",
       "L 229.854548 154.59456 \n",
       "L 230.192722 154.59456 \n",
       "L 230.192722 155.037204 \n",
       "L 230.530911 155.037204 \n",
       "L 230.530911 155.478531 \n",
       "L 230.869085 155.478531 \n",
       "L 230.869085 155.929719 \n",
       "L 231.207274 155.929719 \n",
       "L 231.207274 156.37962 \n",
       "L 231.545448 156.37962 \n",
       "L 231.545448 156.805655 \n",
       "L 231.883637 156.805655 \n",
       "L 231.883637 157.207973 \n",
       "L 232.221811 157.207973 \n",
       "L 232.221811 157.609236 \n",
       "L 232.56 157.609236 \n",
       "L 232.56 158.015076 \n",
       "L 232.898174 158.015076 \n",
       "L 232.898174 158.419886 \n",
       "L 233.236363 158.419886 \n",
       "L 233.236363 158.837283 \n",
       "L 233.574537 158.837283 \n",
       "L 233.574537 159.267197 \n",
       "L 233.912726 159.267197 \n",
       "L 233.912726 159.695937 \n",
       "L 234.2509 159.695937 \n",
       "L 234.2509 160.101801 \n",
       "L 234.589089 160.101801 \n",
       "L 234.589089 160.512211 \n",
       "L 234.927263 160.512211 \n",
       "L 234.927263 160.935885 \n",
       "L 235.265452 160.935885 \n",
       "L 235.265452 161.358109 \n",
       "L 235.603626 161.358109 \n",
       "L 235.603626 161.779059 \n",
       "L 235.941815 161.779059 \n",
       "L 235.941815 162.217472 \n",
       "L 236.279989 162.217472 \n",
       "L 236.279989 162.65458 \n",
       "L 236.618178 162.65458 \n",
       "L 236.618178 163.087903 \n",
       "L 236.956368 163.087903 \n",
       "L 236.956368 163.517484 \n",
       "L 237.294541 163.517484 \n",
       "L 237.294541 163.945747 \n",
       "L 237.632731 163.945747 \n",
       "L 237.632731 164.378279 \n",
       "L 237.970904 164.378279 \n",
       "L 237.970904 164.809504 \n",
       "L 238.309094 164.809504 \n",
       "L 238.309094 165.234396 \n",
       "L 238.647267 165.234396 \n",
       "L 238.647267 165.652979 \n",
       "L 238.985457 165.652979 \n",
       "L 238.985457 166.070319 \n",
       "L 239.32363 166.070319 \n",
       "L 239.32363 166.4983 \n",
       "L 239.66182 166.4983 \n",
       "L 239.66182 166.924993 \n",
       "L 239.999993 166.924993 \n",
       "L 239.999993 167.348812 \n",
       "L 240.338183 167.348812 \n",
       "L 240.338183 167.76973 \n",
       "L 240.676356 167.76973 \n",
       "L 240.676356 168.18943 \n",
       "L 241.014546 168.18943 \n",
       "L 241.014546 168.633494 \n",
       "L 241.352719 168.633494 \n",
       "L 241.352719 169.076145 \n",
       "L 241.690908 169.076145 \n",
       "L 241.690908 169.505431 \n",
       "L 242.029082 169.505431 \n",
       "L 242.029082 169.921434 \n",
       "L 242.367271 169.921434 \n",
       "L 242.367271 170.336175 \n",
       "L 242.705445 170.336175 \n",
       "L 242.705445 170.737024 \n",
       "L 243.043634 170.737024 \n",
       "L 243.043634 171.136724 \n",
       "L 243.381808 171.136724 \n",
       "L 243.381808 171.541466 \n",
       "L 243.719997 171.541466 \n",
       "L 243.719997 171.966841 \n",
       "L 244.058171 171.966841 \n",
       "L 244.058171 172.391657 \n",
       "L 244.39636 172.391657 \n",
       "L 244.39636 172.792488 \n",
       "L 244.734534 172.792488 \n",
       "L 244.734534 173.191962 \n",
       "L 245.072723 173.191962 \n",
       "L 245.072723 173.610294 \n",
       "L 245.410913 173.610294 \n",
       "L 245.410913 174.047282 \n",
       "L 245.749086 174.047282 \n",
       "L 245.749086 174.482758 \n",
       "L 246.087276 174.482758 \n",
       "L 246.087276 174.867455 \n",
       "L 246.425449 174.867455 \n",
       "L 246.425449 175.250866 \n",
       "L 246.763639 175.250866 \n",
       "L 246.763639 175.648658 \n",
       "L 247.101812 175.648658 \n",
       "L 247.101812 176.06075 \n",
       "L 247.440002 176.06075 \n",
       "L 247.440002 176.471379 \n",
       "L 247.778175 176.471379 \n",
       "L 247.778175 176.867909 \n",
       "L 248.116365 176.867909 \n",
       "L 248.116365 177.263096 \n",
       "L 248.454538 177.263096 \n",
       "L 248.454538 177.663525 \n",
       "L 248.792728 177.663525 \n",
       "L 248.792728 178.069101 \n",
       "L 249.130901 178.069101 \n",
       "L 249.130901 178.473176 \n",
       "L 249.469091 178.473176 \n",
       "L 249.469091 178.867836 \n",
       "L 249.807264 178.867836 \n",
       "L 249.807264 179.261077 \n",
       "L 250.145454 179.261077 \n",
       "L 250.145454 179.646245 \n",
       "L 250.483627 179.646245 \n",
       "L 250.483627 180.023428 \n",
       "L 250.821817 180.023428 \n",
       "L 250.821817 180.399248 \n",
       "L 251.15999 180.399248 \n",
       "L 251.15999 180.780637 \n",
       "L 251.49818 180.780637 \n",
       "L 251.49818 181.160632 \n",
       "L 251.836353 181.160632 \n",
       "L 251.836353 181.534281 \n",
       "L 252.174543 181.534281 \n",
       "L 252.174543 181.902889 \n",
       "L 252.512716 181.902889 \n",
       "L 252.512716 182.280518 \n",
       "L 252.850906 182.280518 \n",
       "L 252.850906 182.667349 \n",
       "L 253.189079 182.667349 \n",
       "L 253.189079 183.052655 \n",
       "L 253.527269 183.052655 \n",
       "L 253.527269 183.429568 \n",
       "L 253.865458 183.429568 \n",
       "L 253.865458 183.798208 \n",
       "L 254.203632 183.798208 \n",
       "L 254.203632 184.165409 \n",
       "L 254.541821 184.165409 \n",
       "L 254.541821 184.553026 \n",
       "L 254.879995 184.553026 \n",
       "L 254.879995 184.939116 \n",
       "L 255.218184 184.939116 \n",
       "L 255.218184 185.322771 \n",
       "L 255.556358 185.322771 \n",
       "L 255.556358 185.703972 \n",
       "L 255.894547 185.703972 \n",
       "L 255.894547 186.083591 \n",
       "L 256.232721 186.083591 \n",
       "L 256.232721 186.469499 \n",
       "L 256.57091 186.469499 \n",
       "L 256.57091 186.853757 \n",
       "L 256.909084 186.853757 \n",
       "L 256.909084 187.232095 \n",
       "L 257.247273 187.232095 \n",
       "L 257.247273 187.604526 \n",
       "L 257.585447 187.604526 \n",
       "L 257.585447 187.975394 \n",
       "L 257.923636 187.975394 \n",
       "L 257.923636 188.347203 \n",
       "L 258.26181 188.347203 \n",
       "L 258.26181 188.717393 \n",
       "L 258.599999 188.717393 \n",
       "L 258.599999 189.058556 \n",
       "L 258.938172 189.058556 \n",
       "L 258.938172 189.370955 \n",
       "L 259.276362 189.370955 \n",
       "L 259.276362 189.682218 \n",
       "L 259.614535 189.682218 \n",
       "L 259.614535 190.081196 \n",
       "L 259.952725 190.081196 \n",
       "L 259.952725 190.478345 \n",
       "L 260.290898 190.478345 \n",
       "L 260.290898 190.859122 \n",
       "L 260.629088 190.859122 \n",
       "L 260.629088 191.223772 \n",
       "L 260.967261 191.223772 \n",
       "L 260.967261 191.586768 \n",
       "L 261.305451 191.586768 \n",
       "L 261.305451 191.959415 \n",
       "L 261.643624 191.959415 \n",
       "L 261.643624 192.330816 \n",
       "L 261.981814 192.330816 \n",
       "L 261.981814 192.693511 \n",
       "L 262.320004 192.693511 \n",
       "L 262.320004 193.047539 \n",
       "L 262.658177 193.047539 \n",
       "L 262.658177 193.399964 \n",
       "L 262.996366 193.399964 \n",
       "L 262.996366 193.752724 \n",
       "L 263.33454 193.752724 \n",
       "L 263.33454 194.10389 \n",
       "L 263.672729 194.10389 \n",
       "L 263.672729 194.456961 \n",
       "L 264.010903 194.456961 \n",
       "L 264.010903 194.811941 \n",
       "L 264.349092 194.811941 \n",
       "L 264.349092 195.165257 \n",
       "L 264.687266 195.165257 \n",
       "L 264.687266 195.510456 \n",
       "L 265.025455 195.510456 \n",
       "L 265.025455 195.854061 \n",
       "L 265.363629 195.854061 \n",
       "L 265.363629 196.19425 \n",
       "L 265.701818 196.19425 \n",
       "L 265.701818 196.531097 \n",
       "L 266.039992 196.531097 \n",
       "L 266.039992 196.866384 \n",
       "L 266.378181 196.866384 \n",
       "L 266.378181 197.215893 \n",
       "L 266.716355 197.215893 \n",
       "L 266.716355 197.563672 \n",
       "L 267.054544 197.563672 \n",
       "L 267.054544 197.896558 \n",
       "L 267.392718 197.896558 \n",
       "L 267.392718 198.214673 \n",
       "L 267.730907 198.214673 \n",
       "L 267.730907 198.531391 \n",
       "L 268.069081 198.531391 \n",
       "L 268.069081 198.881371 \n",
       "L 268.40727 198.881371 \n",
       "L 268.40727 199.229611 \n",
       "L 268.745444 199.229611 \n",
       "L 268.745444 199.551719 \n",
       "L 269.083633 199.551719 \n",
       "L 269.083633 199.848016 \n",
       "L 269.421807 199.848016 \n",
       "L 269.421807 200.143005 \n",
       "L 269.759996 200.143005 \n",
       "L 269.759996 200.467391 \n",
       "L 270.09817 200.467391 \n",
       "L 270.09817 200.79334 \n",
       "L 270.436359 200.79334 \n",
       "L 270.436359 201.116025 \n",
       "L 270.774549 201.116025 \n",
       "L 270.774549 201.43322 \n",
       "L 271.112722 201.43322 \n",
       "L 271.112722 201.748887 \n",
       "L 271.450912 201.748887 \n",
       "L 271.450912 202.055455 \n",
       "L 271.789085 202.055455 \n",
       "L 271.789085 202.360572 \n",
       "L 272.127275 202.360572 \n",
       "L 272.127275 202.657673 \n",
       "L 272.465448 202.657673 \n",
       "L 272.465448 202.946921 \n",
       "L 272.803638 202.946921 \n",
       "L 272.803638 203.234791 \n",
       "L 273.141811 203.234791 \n",
       "L 273.141811 203.528141 \n",
       "L 273.480001 203.528141 \n",
       "L 273.480001 203.820092 \n",
       "L 273.818174 203.820092 \n",
       "L 273.818174 204.120517 \n",
       "L 274.156364 204.120517 \n",
       "L 274.156364 204.429291 \n",
       "L 274.494537 204.429291 \n",
       "L 274.494537 204.736536 \n",
       "L 274.832727 204.736536 \n",
       "L 274.832727 205.031449 \n",
       "L 275.1709 205.031449 \n",
       "L 275.1709 205.324922 \n",
       "L 275.50909 205.324922 \n",
       "L 275.50909 205.605846 \n",
       "L 275.847263 205.605846 \n",
       "L 275.847263 205.874378 \n",
       "L 276.185453 205.874378 \n",
       "L 276.185453 206.141674 \n",
       "L 276.523626 206.141674 \n",
       "L 276.523626 206.435206 \n",
       "L 276.861816 206.435206 \n",
       "L 276.861816 206.727294 \n",
       "L 277.199989 206.727294 \n",
       "L 277.199989 207.018046 \n",
       "L 277.538179 207.018046 \n",
       "L 277.538179 207.307507 \n",
       "L 277.876352 207.307507 \n",
       "L 277.876352 207.595534 \n",
       "L 278.214542 207.595534 \n",
       "L 278.214542 207.892459 \n",
       "L 278.552715 207.892459 \n",
       "L 278.552715 208.187897 \n",
       "L 278.890905 208.187897 \n",
       "L 278.890905 208.467597 \n",
       "L 279.229094 208.467597 \n",
       "L 279.229094 208.732246 \n",
       "L 279.567267 208.732246 \n",
       "L 279.567267 208.995832 \n",
       "L 279.905457 208.995832 \n",
       "L 279.905457 209.283962 \n",
       "L 280.24363 209.283962 \n",
       "L 280.24363 209.570693 \n",
       "L 280.58182 209.570693 \n",
       "L 280.58182 209.84635 \n",
       "L 280.919993 209.84635 \n",
       "L 280.919993 210.111034 \n",
       "L 281.258183 210.111034 \n",
       "L 281.258183 210.375774 \n",
       "L 281.596356 210.375774 \n",
       "L 281.596356 210.652907 \n",
       "L 281.934546 210.652907 \n",
       "L 281.934546 210.928655 \n",
       "L 282.272719 210.928655 \n",
       "L 282.272719 211.196321 \n",
       "L 282.610909 211.196321 \n",
       "L 282.610909 211.455974 \n",
       "L 282.949082 211.455974 \n",
       "L 282.949082 211.71443 \n",
       "L 283.287272 211.71443 \n",
       "L 283.287272 211.981042 \n",
       "L 283.625445 211.981042 \n",
       "L 283.625445 212.247782 \n",
       "L 283.963635 212.247782 \n",
       "L 283.963635 212.50708 \n",
       "L 284.301808 212.50708 \n",
       "L 284.301808 212.758995 \n",
       "L 284.639998 212.758995 \n",
       "L 284.639998 213.009712 \n",
       "L 284.978171 213.009712 \n",
       "L 284.978171 213.276775 \n",
       "L 285.316361 213.276775 \n",
       "L 285.316361 213.542536 \n",
       "L 285.654534 213.542536 \n",
       "L 285.654534 213.797386 \n",
       "L 285.992724 213.797386 \n",
       "L 285.992724 214.041345 \n",
       "L 286.330897 214.041345 \n",
       "L 286.330897 214.284168 \n",
       "L 286.669087 214.284168 \n",
       "L 286.669087 214.536994 \n",
       "L 287.00726 214.536994 \n",
       "L 287.00726 214.788608 \n",
       "L 287.34545 214.788608 \n",
       "L 287.34545 215.033217 \n",
       "L 287.683639 215.033217 \n",
       "L 287.683639 215.268167 \n",
       "L 288.021813 215.268167 \n",
       "L 288.021813 215.501995 \n",
       "L 288.360002 215.501995 \n",
       "L 288.360002 215.755392 \n",
       "L 288.698176 215.755392 \n",
       "L 288.698176 216.007533 \n",
       "L 289.036365 216.007533 \n",
       "L 289.036365 216.251965 \n",
       "L 289.374539 216.251965 \n",
       "L 289.374539 216.48657 \n",
       "L 289.712728 216.48657 \n",
       "L 289.712728 216.719258 \n",
       "L 290.050902 216.719258 \n",
       "L 290.050902 216.951437 \n",
       "L 290.389091 216.951437 \n",
       "L 290.389091 217.182468 \n",
       "L 290.727265 217.182468 \n",
       "L 290.727265 217.41328 \n",
       "L 291.065454 217.41328 \n",
       "L 291.065454 217.643824 \n",
       "L 291.403628 217.643824 \n",
       "L 291.403628 217.873242 \n",
       "L 291.741817 217.873242 \n",
       "L 291.741817 218.1102 \n",
       "L 292.079991 218.1102 \n",
       "L 292.079991 218.345966 \n",
       "L 292.41818 218.345966 \n",
       "L 292.41818 218.568234 \n",
       "L 292.756354 218.568234 \n",
       "L 292.756354 218.778212 \n",
       "L 293.094543 218.778212 \n",
       "L 293.094543 218.987954 \n",
       "L 293.432717 218.987954 \n",
       "L 293.432717 219.199635 \n",
       "L 293.770906 219.199635 \n",
       "L 293.770906 219.410383 \n",
       "L 294.10908 219.410383 \n",
       "L 294.10908 219.619143 \n",
       "L 294.447269 219.619143 \n",
       "L 294.447269 219.825962 \n",
       "L 294.785443 219.825962 \n",
       "L 294.785443 220.03156 \n",
       "L 295.123632 220.03156 \n",
       "L 295.123632 220.230226 \n",
       "L 295.461806 220.230226 \n",
       "L 295.461806 220.427985 \n",
       "L 295.799995 220.427985 \n",
       "L 295.799995 220.634789 \n",
       "L 296.138185 220.634789 \n",
       "L 296.138185 220.850499 \n",
       "L 296.476358 220.850499 \n",
       "L 296.476358 221.065208 \n",
       "L 296.814548 221.065208 \n",
       "L 296.814548 221.264906 \n",
       "L 297.152721 221.264906 \n",
       "L 297.152721 221.463706 \n",
       "L 297.490911 221.463706 \n",
       "L 297.490911 221.66032 \n",
       "L 297.829084 221.66032 \n",
       "L 297.829084 221.854808 \n",
       "L 298.167274 221.854808 \n",
       "L 298.167274 222.048388 \n",
       "L 298.505447 222.048388 \n",
       "L 298.505447 222.243835 \n",
       "L 298.843637 222.243835 \n",
       "L 298.843637 222.438362 \n",
       "L 299.18181 222.438362 \n",
       "L 299.18181 222.631631 \n",
       "L 299.52 222.631631 \n",
       "L 299.52 222.823636 \n",
       "L 299.858173 222.823636 \n",
       "L 299.858173 223.014704 \n",
       "L 300.196363 223.014704 \n",
       "L 300.196363 223.205935 \n",
       "L 300.534536 223.205935 \n",
       "L 300.534536 223.396206 \n",
       "L 300.872725 223.396206 \n",
       "L 300.872725 223.576511 \n",
       "L 301.210899 223.576511 \n",
       "L 301.210899 223.746925 \n",
       "L 301.549088 223.746925 \n",
       "L 301.549088 223.916539 \n",
       "L 301.887262 223.916539 \n",
       "L 301.887262 224.108772 \n",
       "L 302.225451 224.108772 \n",
       "L 302.225451 224.300039 \n",
       "L 302.563625 224.300039 \n",
       "L 302.563625 224.47496 \n",
       "L 302.901814 224.47496 \n",
       "L 302.901814 224.633681 \n",
       "L 303.239988 224.633681 \n",
       "L 303.239988 224.791609 \n",
       "L 303.578177 224.791609 \n",
       "L 303.578177 224.968876 \n",
       "L 303.916351 224.968876 \n",
       "L 303.916351 225.145203 \n",
       "L 304.25454 225.145203 \n",
       "L 304.25454 225.316187 \n",
       "L 304.59273 225.316187 \n",
       "L 304.59273 225.48185 \n",
       "L 304.930903 225.48185 \n",
       "L 304.930903 225.646666 \n",
       "L 305.269093 225.646666 \n",
       "L 305.269093 225.82242 \n",
       "L 305.607266 225.82242 \n",
       "L 305.607266 225.99725 \n",
       "L 305.945456 225.99725 \n",
       "L 305.945456 226.16562 \n",
       "L 306.283629 226.16562 \n",
       "L 306.283629 226.327629 \n",
       "L 306.621819 226.327629 \n",
       "L 306.621819 226.488777 \n",
       "L 306.959992 226.488777 \n",
       "L 306.959992 226.651353 \n",
       "L 307.298182 226.651353 \n",
       "L 307.298182 226.81306 \n",
       "L 307.636355 226.81306 \n",
       "L 307.636355 226.974785 \n",
       "L 307.974545 226.974785 \n",
       "L 307.974545 227.136507 \n",
       "L 308.312718 227.136507 \n",
       "L 308.312718 227.297371 \n",
       "L 308.650908 227.297371 \n",
       "L 308.650908 227.447527 \n",
       "L 308.989081 227.447527 \n",
       "L 308.989081 227.596887 \n",
       "L 309.327271 227.596887 \n",
       "L 309.327271 227.74905 \n",
       "L 309.665444 227.74905 \n",
       "L 309.665444 227.90405 \n",
       "L 310.003634 227.90405 \n",
       "L 310.003634 228.058302 \n",
       "L 310.341807 228.058302 \n",
       "L 310.341807 228.193826 \n",
       "L 310.679997 228.193826 \n",
       "L 310.679997 228.32872 \n",
       "L 311.01817 228.32872 \n",
       "L 311.01817 228.466856 \n",
       "L 311.35636 228.466856 \n",
       "L 311.35636 228.608221 \n",
       "L 311.694533 228.608221 \n",
       "L 311.694533 228.748901 \n",
       "L 312.032723 228.748901 \n",
       "L 312.032723 228.891781 \n",
       "L 312.370896 228.891781 \n",
       "L 312.370896 229.033948 \n",
       "L 312.709086 229.033948 \n",
       "L 312.709086 229.167817 \n",
       "L 313.047275 229.167817 \n",
       "L 313.047275 229.293481 \n",
       "L 313.385449 229.293481 \n",
       "L 313.385449 229.418636 \n",
       "L 313.723638 229.418636 \n",
       "L 313.723638 229.550625 \n",
       "L 314.061812 229.550625 \n",
       "L 314.061812 229.682061 \n",
       "L 314.400001 229.682061 \n",
       "L 314.400001 229.80057 \n",
       "L 315.076364 229.906275 \n",
       "L 315.076364 230.011545 \n",
       "L 315.414538 230.011545 \n",
       "L 315.414538 230.156579 \n",
       "L 315.752727 230.156579 \n",
       "L 315.752727 230.300968 \n",
       "L 316.090901 230.300968 \n",
       "L 316.090901 230.429282 \n",
       "L 316.42909 230.429282 \n",
       "L 316.42909 230.541702 \n",
       "L 316.767264 230.541702 \n",
       "L 316.767264 230.653717 \n",
       "L 317.105453 230.653717 \n",
       "L 317.105453 230.767118 \n",
       "L 317.443627 230.767118 \n",
       "L 317.443627 230.880091 \n",
       "L 318.119989 230.98857 \n",
       "L 318.119989 231.092573 \n",
       "L 318.796352 231.19619 \n",
       "L 318.796352 231.305757 \n",
       "L 319.472715 231.414918 \n",
       "L 319.472715 231.520099 \n",
       "L 320.149078 231.621409 \n",
       "L 320.149078 231.722433 \n",
       "L 320.825441 231.816843 \n",
       "L 320.825441 231.910988 \n",
       "L 321.501821 232.006757 \n",
       "L 321.501821 232.104119 \n",
       "L 322.178183 232.201221 \n",
       "L 322.178183 232.301266 \n",
       "L 322.854546 232.401032 \n",
       "L 322.854546 232.494838 \n",
       "L 323.530909 232.582711 \n",
       "L 323.530909 232.670317 \n",
       "L 324.207272 232.76011 \n",
       "L 324.207272 232.849629 \n",
       "L 324.883635 232.939937 \n",
       "L 324.883635 233.031014 \n",
       "L 325.559998 233.121818 \n",
       "L 325.559998 233.202594 \n",
       "L 326.236361 233.283128 \n",
       "L 326.236361 233.365996 \n",
       "L 326.912724 233.451149 \n",
       "L 326.912724 233.536009 \n",
       "L 327.589087 233.617866 \n",
       "L 327.589087 233.699052 \n",
       "L 328.26545 233.777246 \n",
       "L 328.26545 233.853281 \n",
       "L 328.941813 233.929065 \n",
       "L 328.941813 234.008978 \n",
       "L 329.618176 234.088612 \n",
       "L 329.618176 234.166156 \n",
       "L 330.294555 234.241543 \n",
       "L 330.294555 234.316577 \n",
       "L 330.970902 234.390631 \n",
       "L 330.970902 234.46434 \n",
       "L 331.647281 234.534227 \n",
       "L 331.647281 234.600322 \n",
       "L 332.323628 234.666123 \n",
       "L 332.323628 234.736956 \n",
       "L 333.000007 234.807461 \n",
       "L 333.000007 234.878256 \n",
       "L 333.676354 234.949294 \n",
       "L 333.676354 235.019921 \n",
       "L 334.352733 235.087428 \n",
       "L 334.352733 235.154549 \n",
       "L 335.02908 235.219521 \n",
       "L 335.02908 235.282376 \n",
       "L 335.705459 235.344881 \n",
       "L 335.705459 235.406104 \n",
       "L 336.381806 235.46698 \n",
       "L 336.381806 235.529531 \n",
       "L 337.058185 235.593713 \n",
       "L 337.058185 235.657495 \n",
       "L 337.734532 235.717224 \n",
       "L 337.734532 235.776602 \n",
       "L 338.410911 235.835936 \n",
       "L 338.410911 235.89521 \n",
       "L 339.087258 235.954118 \n",
       "L 339.087258 236.008961 \n",
       "L 340.101827 236.118079 \n",
       "L 340.101827 236.172739 \n",
       "L 340.778173 236.227073 \n",
       "L 340.778173 236.284745 \n",
       "L 341.454553 236.342049 \n",
       "L 341.454553 236.397049 \n",
       "L 342.469089 236.502213 \n",
       "L 342.469089 236.555485 \n",
       "L 343.483625 236.660456 \n",
       "L 343.483625 236.711589 \n",
       "L 344.498162 236.809884 \n",
       "L 344.498162 236.8572 \n",
       "L 345.51273 236.952051 \n",
       "L 345.51273 236.999225 \n",
       "L 346.527267 237.090375 \n",
       "L 346.527267 237.134117 \n",
       "L 347.541803 237.218 \n",
       "L 347.541803 237.258419 \n",
       "L 348.556372 237.338029 \n",
       "L 348.556372 237.376654 \n",
       "L 349.570908 237.453212 \n",
       "L 349.570908 237.491136 \n",
       "L 350.585445 237.571788 \n",
       "L 350.585445 237.612668 \n",
       "L 351.599981 237.686675 \n",
       "L 351.599981 237.724099 \n",
       "L 352.61455 237.799755 \n",
       "L 352.61455 237.837682 \n",
       "L 353.629086 237.913175 \n",
       "L 353.629086 237.951032 \n",
       "L 354.981812 238.061402 \n",
       "L 354.981812 238.098187 \n",
       "L 356.334538 238.209171 \n",
       "L 356.334538 238.245576 \n",
       "L 357.687264 238.353005 \n",
       "L 357.687264 238.389541 \n",
       "L 359.03999 238.495754 \n",
       "L 359.03999 238.529932 \n",
       "L 360.392716 238.634568 \n",
       "L 360.392716 238.672449 \n",
       "L 361.745442 238.776884 \n",
       "L 361.745442 238.810956 \n",
       "L 363.098168 238.917973 \n",
       "L 363.098168 238.95531 \n",
       "L 364.450894 239.064605 \n",
       "L 364.450894 239.097614 \n",
       "L 365.80362 239.194198 \n",
       "L 365.80362 239.225597 \n",
       "L 367.156346 239.329908 \n",
       "L 367.156346 239.36291 \n",
       "L 368.509072 239.455199 \n",
       "L 368.509072 239.485985 \n",
       "L 369.861798 239.580382 \n",
       "L 369.861798 239.611033 \n",
       "L 371.214524 239.697376 \n",
       "L 371.214524 239.728762 \n",
       "L 372.567282 239.815324 \n",
       "L 372.567282 239.841551 \n",
       "L 373.581818 239.900041 \n",
       "L 373.581818 239.900041 \n",
       "\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_13\"/>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 54 252 \n",
       "L 54 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 388.8 252 \n",
       "L 388.8 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 54 252 \n",
       "L 388.8 252 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 54 34.56 \n",
       "L 388.8 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_14\">\n",
       "    <!-- data/acisf04938_000N002_r0043_arf3.fits -->\n",
       "    <g transform=\"translate(95.528438 28.56)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 45.40625 46.390625 \n",
       "L 45.40625 75.984375 \n",
       "L 54.390625 75.984375 \n",
       "L 54.390625 0 \n",
       "L 45.40625 0 \n",
       "L 45.40625 8.203125 \n",
       "Q 42.578125 3.328125 38.25 0.953125 \n",
       "Q 33.9375 -1.421875 27.875 -1.421875 \n",
       "Q 17.96875 -1.421875 11.734375 6.484375 \n",
       "Q 5.515625 14.40625 5.515625 27.296875 \n",
       "Q 5.515625 40.1875 11.734375 48.09375 \n",
       "Q 17.96875 56 27.875 56 \n",
       "Q 33.9375 56 38.25 53.625 \n",
       "Q 42.578125 51.265625 45.40625 46.390625 \n",
       "z\n",
       "M 14.796875 27.296875 \n",
       "Q 14.796875 17.390625 18.875 11.75 \n",
       "Q 22.953125 6.109375 30.078125 6.109375 \n",
       "Q 37.203125 6.109375 41.296875 11.75 \n",
       "Q 45.40625 17.390625 45.40625 27.296875 \n",
       "Q 45.40625 37.203125 41.296875 42.84375 \n",
       "Q 37.203125 48.484375 30.078125 48.484375 \n",
       "Q 22.953125 48.484375 18.875 42.84375 \n",
       "Q 14.796875 37.203125 14.796875 27.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-100\"/>\n",
       "      <path d=\"M 34.28125 27.484375 \n",
       "Q 23.390625 27.484375 19.1875 25 \n",
       "Q 14.984375 22.515625 14.984375 16.5 \n",
       "Q 14.984375 11.71875 18.140625 8.90625 \n",
       "Q 21.296875 6.109375 26.703125 6.109375 \n",
       "Q 34.1875 6.109375 38.703125 11.40625 \n",
       "Q 43.21875 16.703125 43.21875 25.484375 \n",
       "L 43.21875 27.484375 \n",
       "z\n",
       "M 52.203125 31.203125 \n",
       "L 52.203125 0 \n",
       "L 43.21875 0 \n",
       "L 43.21875 8.296875 \n",
       "Q 40.140625 3.328125 35.546875 0.953125 \n",
       "Q 30.953125 -1.421875 24.3125 -1.421875 \n",
       "Q 15.921875 -1.421875 10.953125 3.296875 \n",
       "Q 6 8.015625 6 15.921875 \n",
       "Q 6 25.140625 12.171875 29.828125 \n",
       "Q 18.359375 34.515625 30.609375 34.515625 \n",
       "L 43.21875 34.515625 \n",
       "L 43.21875 35.40625 \n",
       "Q 43.21875 41.609375 39.140625 45 \n",
       "Q 35.0625 48.390625 27.6875 48.390625 \n",
       "Q 23 48.390625 18.546875 47.265625 \n",
       "Q 14.109375 46.140625 10.015625 43.890625 \n",
       "L 10.015625 52.203125 \n",
       "Q 14.9375 54.109375 19.578125 55.046875 \n",
       "Q 24.21875 56 28.609375 56 \n",
       "Q 40.484375 56 46.34375 49.84375 \n",
       "Q 52.203125 43.703125 52.203125 31.203125 \n",
       "z\n",
       "\" id=\"DejaVuSans-97\"/>\n",
       "      <path d=\"M 18.3125 70.21875 \n",
       "L 18.3125 54.6875 \n",
       "L 36.8125 54.6875 \n",
       "L 36.8125 47.703125 \n",
       "L 18.3125 47.703125 \n",
       "L 18.3125 18.015625 \n",
       "Q 18.3125 11.328125 20.140625 9.421875 \n",
       "Q 21.96875 7.515625 27.59375 7.515625 \n",
       "L 36.8125 7.515625 \n",
       "L 36.8125 0 \n",
       "L 27.59375 0 \n",
       "Q 17.1875 0 13.234375 3.875 \n",
       "Q 9.28125 7.765625 9.28125 18.015625 \n",
       "L 9.28125 47.703125 \n",
       "L 2.6875 47.703125 \n",
       "L 2.6875 54.6875 \n",
       "L 9.28125 54.6875 \n",
       "L 9.28125 70.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-116\"/>\n",
       "      <path d=\"M 25.390625 72.90625 \n",
       "L 33.6875 72.90625 \n",
       "L 8.296875 -9.28125 \n",
       "L 0 -9.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-47\"/>\n",
       "      <path d=\"M 9.421875 54.6875 \n",
       "L 18.40625 54.6875 \n",
       "L 18.40625 0 \n",
       "L 9.421875 0 \n",
       "z\n",
       "M 9.421875 75.984375 \n",
       "L 18.40625 75.984375 \n",
       "L 18.40625 64.59375 \n",
       "L 9.421875 64.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-105\"/>\n",
       "      <path d=\"M 44.28125 53.078125 \n",
       "L 44.28125 44.578125 \n",
       "Q 40.484375 46.53125 36.375 47.5 \n",
       "Q 32.28125 48.484375 27.875 48.484375 \n",
       "Q 21.1875 48.484375 17.84375 46.4375 \n",
       "Q 14.5 44.390625 14.5 40.28125 \n",
       "Q 14.5 37.15625 16.890625 35.375 \n",
       "Q 19.28125 33.59375 26.515625 31.984375 \n",
       "L 29.59375 31.296875 \n",
       "Q 39.15625 29.25 43.1875 25.515625 \n",
       "Q 47.21875 21.78125 47.21875 15.09375 \n",
       "Q 47.21875 7.46875 41.1875 3.015625 \n",
       "Q 35.15625 -1.421875 24.609375 -1.421875 \n",
       "Q 20.21875 -1.421875 15.453125 -0.5625 \n",
       "Q 10.6875 0.296875 5.421875 2 \n",
       "L 5.421875 11.28125 \n",
       "Q 10.40625 8.6875 15.234375 7.390625 \n",
       "Q 20.0625 6.109375 24.8125 6.109375 \n",
       "Q 31.15625 6.109375 34.5625 8.28125 \n",
       "Q 37.984375 10.453125 37.984375 14.40625 \n",
       "Q 37.984375 18.0625 35.515625 20.015625 \n",
       "Q 33.0625 21.96875 24.703125 23.78125 \n",
       "L 21.578125 24.515625 \n",
       "Q 13.234375 26.265625 9.515625 29.90625 \n",
       "Q 5.8125 33.546875 5.8125 39.890625 \n",
       "Q 5.8125 47.609375 11.28125 51.796875 \n",
       "Q 16.75 56 26.8125 56 \n",
       "Q 31.78125 56 36.171875 55.265625 \n",
       "Q 40.578125 54.546875 44.28125 53.078125 \n",
       "z\n",
       "\" id=\"DejaVuSans-115\"/>\n",
       "      <path d=\"M 37.109375 75.984375 \n",
       "L 37.109375 68.5 \n",
       "L 28.515625 68.5 \n",
       "Q 23.6875 68.5 21.796875 66.546875 \n",
       "Q 19.921875 64.59375 19.921875 59.515625 \n",
       "L 19.921875 54.6875 \n",
       "L 34.71875 54.6875 \n",
       "L 34.71875 47.703125 \n",
       "L 19.921875 47.703125 \n",
       "L 19.921875 0 \n",
       "L 10.890625 0 \n",
       "L 10.890625 47.703125 \n",
       "L 2.296875 47.703125 \n",
       "L 2.296875 54.6875 \n",
       "L 10.890625 54.6875 \n",
       "L 10.890625 58.5 \n",
       "Q 10.890625 67.625 15.140625 71.796875 \n",
       "Q 19.390625 75.984375 28.609375 75.984375 \n",
       "z\n",
       "\" id=\"DejaVuSans-102\"/>\n",
       "      <path d=\"M 10.984375 1.515625 \n",
       "L 10.984375 10.5 \n",
       "Q 14.703125 8.734375 18.5 7.8125 \n",
       "Q 22.3125 6.890625 25.984375 6.890625 \n",
       "Q 35.75 6.890625 40.890625 13.453125 \n",
       "Q 46.046875 20.015625 46.78125 33.40625 \n",
       "Q 43.953125 29.203125 39.59375 26.953125 \n",
       "Q 35.25 24.703125 29.984375 24.703125 \n",
       "Q 19.046875 24.703125 12.671875 31.3125 \n",
       "Q 6.296875 37.9375 6.296875 49.421875 \n",
       "Q 6.296875 60.640625 12.9375 67.421875 \n",
       "Q 19.578125 74.21875 30.609375 74.21875 \n",
       "Q 43.265625 74.21875 49.921875 64.515625 \n",
       "Q 56.59375 54.828125 56.59375 36.375 \n",
       "Q 56.59375 19.140625 48.40625 8.859375 \n",
       "Q 40.234375 -1.421875 26.421875 -1.421875 \n",
       "Q 22.703125 -1.421875 18.890625 -0.6875 \n",
       "Q 15.09375 0.046875 10.984375 1.515625 \n",
       "z\n",
       "M 30.609375 32.421875 \n",
       "Q 37.25 32.421875 41.125 36.953125 \n",
       "Q 45.015625 41.5 45.015625 49.421875 \n",
       "Q 45.015625 57.28125 41.125 61.84375 \n",
       "Q 37.25 66.40625 30.609375 66.40625 \n",
       "Q 23.96875 66.40625 20.09375 61.84375 \n",
       "Q 16.21875 57.28125 16.21875 49.421875 \n",
       "Q 16.21875 41.5 20.09375 36.953125 \n",
       "Q 23.96875 32.421875 30.609375 32.421875 \n",
       "z\n",
       "\" id=\"DejaVuSans-57\"/>\n",
       "      <path d=\"M 50.984375 -16.609375 \n",
       "L 50.984375 -23.578125 \n",
       "L -0.984375 -23.578125 \n",
       "L -0.984375 -16.609375 \n",
       "z\n",
       "\" id=\"DejaVuSans-95\"/>\n",
       "      <path d=\"M 9.8125 72.90625 \n",
       "L 23.09375 72.90625 \n",
       "L 55.421875 11.921875 \n",
       "L 55.421875 72.90625 \n",
       "L 64.984375 72.90625 \n",
       "L 64.984375 0 \n",
       "L 51.703125 0 \n",
       "L 19.390625 60.984375 \n",
       "L 19.390625 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-78\"/>\n",
       "      <path d=\"M 10.6875 12.40625 \n",
       "L 21 12.40625 \n",
       "L 21 0 \n",
       "L 10.6875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-46\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-100\"/>\n",
       "     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"124.755859\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "     <use x=\"163.964844\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"225.244141\" xlink:href=\"#DejaVuSans-47\"/>\n",
       "     <use x=\"258.935547\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"320.214844\" xlink:href=\"#DejaVuSans-99\"/>\n",
       "     <use x=\"375.195312\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"402.978516\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "     <use x=\"455.078125\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"490.283203\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"553.90625\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "     <use x=\"617.529297\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "     <use x=\"681.152344\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"744.775391\" xlink:href=\"#DejaVuSans-56\"/>\n",
       "     <use x=\"808.398438\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"858.398438\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"922.021484\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"985.644531\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1049.267578\" xlink:href=\"#DejaVuSans-78\"/>\n",
       "     <use x=\"1124.072266\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1187.695312\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1251.318359\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "     <use x=\"1314.941406\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"1364.941406\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"1406.054688\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1469.677734\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1533.300781\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "     <use x=\"1596.923828\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"1660.546875\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"1710.546875\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"1771.826172\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"1812.939453\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"1848.144531\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"1911.767578\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "     <use x=\"1943.554688\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"1978.759766\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"2006.542969\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "     <use x=\"2045.751953\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"pcecec8ca6a\">\n",
       "   <rect height=\"217.44\" width=\"334.8\" x=\"54\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n",
       "</details></div><details open><summary>Summary (5)</summary><div class=\"datavals\"><div class=\"dataname\">Identifier</div><div class=\"dataval\">data/acisf04938_000N002_r0043_arf3.fits</div><div class=\"dataname\">Exposure</div><div class=\"dataval\">50454.2 s</div><div class=\"dataname\">Number of bins</div><div class=\"dataval\">900</div><div class=\"dataname\">Energy range</div><div class=\"dataval\">0.3 - 9.3 keV, bin size 0.0100002 keV</div><div class=\"dataname\">Area range</div><div class=\"dataval\">0.0283801 - 480.514 cm<sup>2</sup></div></div></details><details><summary>Metadata (5)</summary><div class=\"datavals\"><div class=\"dataname\">Mission or Satellite</div><div class=\"dataval\">CHANDRA</div><div class=\"dataname\">Instrument or Detector</div><div class=\"dataval\">ACIS</div><div class=\"dataname\">Object</div><div class=\"dataval\">CSC</div><div class=\"dataname\">Observation date</div><div class=\"dataval\">2005-05-03T13:18:52</div><div class=\"dataname\">Program that created the ARF</div><div class=\"dataval\">dmjoin - CAT3.0.6</div></div></details></div>"
      ],
      "text/plain": [
       "<DataARF data set instance 'data/acisf04938_000N002_r0043_arf3.fits'>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_arf(99, bkg_id=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "viral-domain",
   "metadata": {},
   "source": [
    "The plan is to read in the ARF, modify the SPECRESP column, and then over-write the existing ARF:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "apart-husband",
   "metadata": {},
   "outputs": [],
   "source": [
    "barf = unpack_arf('data/acisf04938_000N002_r0043_arf3.fits')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "numerous-preserve",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(900,)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "barf.specresp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "mobile-stream",
   "metadata": {},
   "outputs": [],
   "source": [
    "barf.specresp = np.ones(900)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "second-appointment",
   "metadata": {},
   "outputs": [],
   "source": [
    "set_arf(99, barf, bkg_id=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "gothic-hungarian",
   "metadata": {
    "tags": []
   },
   "source": [
    "Has it worked?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "revised-concentration",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;DataARF data set instance &#x27;data/acisf04938_000N002_r0043_arf3.fits&#x27;&gt;</div><div hidden class=\"sherpa\"><style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;sherpa.astro.plot.ARFPlot object at 0x7fdb4228e580&gt;</div><div hidden class=\"sherpa\"><details open><summary>ARF Plot</summary><svg height=\"288pt\" version=\"1.1\" viewBox=\"0 0 432 288\" width=\"432pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <metadata>\n",
       "  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
       "   <cc:Work>\n",
       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
       "    <dc:date>2021-08-27T11:37:42.318562</dc:date>\n",
       "    <dc:format>image/svg+xml</dc:format>\n",
       "    <dc:creator>\n",
       "     <cc:Agent>\n",
       "      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n",
       "     </cc:Agent>\n",
       "    </dc:creator>\n",
       "   </cc:Work>\n",
       "  </rdf:RDF>\n",
       " </metadata>\n",
       " <defs>\n",
       "  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 288 \n",
       "L 432 288 \n",
       "L 432 0 \n",
       "L 0 0 \n",
       "z\n",
       "\" style=\"fill:none;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g id=\"patch_2\">\n",
       "    <path d=\"M 54 252 \n",
       "L 388.8 252 \n",
       "L 388.8 34.56 \n",
       "L 54 34.56 \n",
       "z\n",
       "\" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_1\">\n",
       "    <g id=\"xtick_1\">\n",
       "     <g id=\"line2d_1\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L 0 3.5 \n",
       "\" id=\"m3b0d692593\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"59.072727\" xlink:href=\"#m3b0d692593\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_1\">\n",
       "      <!-- 0 -->\n",
       "      <g transform=\"translate(55.891477 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 31.78125 66.40625 \n",
       "Q 24.171875 66.40625 20.328125 58.90625 \n",
       "Q 16.5 51.421875 16.5 36.375 \n",
       "Q 16.5 21.390625 20.328125 13.890625 \n",
       "Q 24.171875 6.390625 31.78125 6.390625 \n",
       "Q 39.453125 6.390625 43.28125 13.890625 \n",
       "Q 47.125 21.390625 47.125 36.375 \n",
       "Q 47.125 51.421875 43.28125 58.90625 \n",
       "Q 39.453125 66.40625 31.78125 66.40625 \n",
       "z\n",
       "M 31.78125 74.21875 \n",
       "Q 44.046875 74.21875 50.515625 64.515625 \n",
       "Q 56.984375 54.828125 56.984375 36.375 \n",
       "Q 56.984375 17.96875 50.515625 8.265625 \n",
       "Q 44.046875 -1.421875 31.78125 -1.421875 \n",
       "Q 19.53125 -1.421875 13.0625 8.265625 \n",
       "Q 6.59375 17.96875 6.59375 36.375 \n",
       "Q 6.59375 54.828125 13.0625 64.515625 \n",
       "Q 19.53125 74.21875 31.78125 74.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-48\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_2\">\n",
       "     <g id=\"line2d_2\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.709089\" xlink:href=\"#m3b0d692593\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_2\">\n",
       "      <!-- 2 -->\n",
       "      <g transform=\"translate(123.527839 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 19.1875 8.296875 \n",
       "L 53.609375 8.296875 \n",
       "L 53.609375 0 \n",
       "L 7.328125 0 \n",
       "L 7.328125 8.296875 \n",
       "Q 12.9375 14.109375 22.625 23.890625 \n",
       "Q 32.328125 33.6875 34.8125 36.53125 \n",
       "Q 39.546875 41.84375 41.421875 45.53125 \n",
       "Q 43.3125 49.21875 43.3125 52.78125 \n",
       "Q 43.3125 58.59375 39.234375 62.25 \n",
       "Q 35.15625 65.921875 28.609375 65.921875 \n",
       "Q 23.96875 65.921875 18.8125 64.3125 \n",
       "Q 13.671875 62.703125 7.8125 59.421875 \n",
       "L 7.8125 69.390625 \n",
       "Q 13.765625 71.78125 18.9375 73 \n",
       "Q 24.125 74.21875 28.421875 74.21875 \n",
       "Q 39.75 74.21875 46.484375 68.546875 \n",
       "Q 53.21875 62.890625 53.21875 53.421875 \n",
       "Q 53.21875 48.921875 51.53125 44.890625 \n",
       "Q 49.859375 40.875 45.40625 35.40625 \n",
       "Q 44.1875 33.984375 37.640625 27.21875 \n",
       "Q 31.109375 20.453125 19.1875 8.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-50\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_3\">\n",
       "     <g id=\"line2d_3\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"194.345452\" xlink:href=\"#m3b0d692593\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_3\">\n",
       "      <!-- 4 -->\n",
       "      <g transform=\"translate(191.164202 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 37.796875 64.3125 \n",
       "L 12.890625 25.390625 \n",
       "L 37.796875 25.390625 \n",
       "z\n",
       "M 35.203125 72.90625 \n",
       "L 47.609375 72.90625 \n",
       "L 47.609375 25.390625 \n",
       "L 58.015625 25.390625 \n",
       "L 58.015625 17.1875 \n",
       "L 47.609375 17.1875 \n",
       "L 47.609375 0 \n",
       "L 37.796875 0 \n",
       "L 37.796875 17.1875 \n",
       "L 4.890625 17.1875 \n",
       "L 4.890625 26.703125 \n",
       "z\n",
       "\" id=\"DejaVuSans-52\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_4\">\n",
       "     <g id=\"line2d_4\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"261.981814\" xlink:href=\"#m3b0d692593\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_4\">\n",
       "      <!-- 6 -->\n",
       "      <g transform=\"translate(258.800564 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 33.015625 40.375 \n",
       "Q 26.375 40.375 22.484375 35.828125 \n",
       "Q 18.609375 31.296875 18.609375 23.390625 \n",
       "Q 18.609375 15.53125 22.484375 10.953125 \n",
       "Q 26.375 6.390625 33.015625 6.390625 \n",
       "Q 39.65625 6.390625 43.53125 10.953125 \n",
       "Q 47.40625 15.53125 47.40625 23.390625 \n",
       "Q 47.40625 31.296875 43.53125 35.828125 \n",
       "Q 39.65625 40.375 33.015625 40.375 \n",
       "z\n",
       "M 52.59375 71.296875 \n",
       "L 52.59375 62.3125 \n",
       "Q 48.875 64.0625 45.09375 64.984375 \n",
       "Q 41.3125 65.921875 37.59375 65.921875 \n",
       "Q 27.828125 65.921875 22.671875 59.328125 \n",
       "Q 17.53125 52.734375 16.796875 39.40625 \n",
       "Q 19.671875 43.65625 24.015625 45.921875 \n",
       "Q 28.375 48.1875 33.59375 48.1875 \n",
       "Q 44.578125 48.1875 50.953125 41.515625 \n",
       "Q 57.328125 34.859375 57.328125 23.390625 \n",
       "Q 57.328125 12.15625 50.6875 5.359375 \n",
       "Q 44.046875 -1.421875 33.015625 -1.421875 \n",
       "Q 20.359375 -1.421875 13.671875 8.265625 \n",
       "Q 6.984375 17.96875 6.984375 36.375 \n",
       "Q 6.984375 53.65625 15.1875 63.9375 \n",
       "Q 23.390625 74.21875 37.203125 74.21875 \n",
       "Q 40.921875 74.21875 44.703125 73.484375 \n",
       "Q 48.484375 72.75 52.59375 71.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-54\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_5\">\n",
       "     <g id=\"line2d_5\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"329.618176\" xlink:href=\"#m3b0d692593\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_5\">\n",
       "      <!-- 8 -->\n",
       "      <g transform=\"translate(326.436926 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 31.78125 34.625 \n",
       "Q 24.75 34.625 20.71875 30.859375 \n",
       "Q 16.703125 27.09375 16.703125 20.515625 \n",
       "Q 16.703125 13.921875 20.71875 10.15625 \n",
       "Q 24.75 6.390625 31.78125 6.390625 \n",
       "Q 38.8125 6.390625 42.859375 10.171875 \n",
       "Q 46.921875 13.96875 46.921875 20.515625 \n",
       "Q 46.921875 27.09375 42.890625 30.859375 \n",
       "Q 38.875 34.625 31.78125 34.625 \n",
       "z\n",
       "M 21.921875 38.8125 \n",
       "Q 15.578125 40.375 12.03125 44.71875 \n",
       "Q 8.5 49.078125 8.5 55.328125 \n",
       "Q 8.5 64.0625 14.71875 69.140625 \n",
       "Q 20.953125 74.21875 31.78125 74.21875 \n",
       "Q 42.671875 74.21875 48.875 69.140625 \n",
       "Q 55.078125 64.0625 55.078125 55.328125 \n",
       "Q 55.078125 49.078125 51.53125 44.71875 \n",
       "Q 48 40.375 41.703125 38.8125 \n",
       "Q 48.828125 37.15625 52.796875 32.3125 \n",
       "Q 56.78125 27.484375 56.78125 20.515625 \n",
       "Q 56.78125 9.90625 50.3125 4.234375 \n",
       "Q 43.84375 -1.421875 31.78125 -1.421875 \n",
       "Q 19.734375 -1.421875 13.25 4.234375 \n",
       "Q 6.78125 9.90625 6.78125 20.515625 \n",
       "Q 6.78125 27.484375 10.78125 32.3125 \n",
       "Q 14.796875 37.15625 21.921875 38.8125 \n",
       "z\n",
       "M 18.3125 54.390625 \n",
       "Q 18.3125 48.734375 21.84375 45.5625 \n",
       "Q 25.390625 42.390625 31.78125 42.390625 \n",
       "Q 38.140625 42.390625 41.71875 45.5625 \n",
       "Q 45.3125 48.734375 45.3125 54.390625 \n",
       "Q 45.3125 60.0625 41.71875 63.234375 \n",
       "Q 38.140625 66.40625 31.78125 66.40625 \n",
       "Q 25.390625 66.40625 21.84375 63.234375 \n",
       "Q 18.3125 60.0625 18.3125 54.390625 \n",
       "z\n",
       "\" id=\"DejaVuSans-56\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-56\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_6\">\n",
       "     <!-- Energy (keV) -->\n",
       "     <g transform=\"translate(189.192187 280.276563)scale(0.1 -0.1)\">\n",
       "      <defs>\n",
       "       <path d=\"M 9.8125 72.90625 \n",
       "L 55.90625 72.90625 \n",
       "L 55.90625 64.59375 \n",
       "L 19.671875 64.59375 \n",
       "L 19.671875 43.015625 \n",
       "L 54.390625 43.015625 \n",
       "L 54.390625 34.71875 \n",
       "L 19.671875 34.71875 \n",
       "L 19.671875 8.296875 \n",
       "L 56.78125 8.296875 \n",
       "L 56.78125 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-69\"/>\n",
       "       <path d=\"M 54.890625 33.015625 \n",
       "L 54.890625 0 \n",
       "L 45.90625 0 \n",
       "L 45.90625 32.71875 \n",
       "Q 45.90625 40.484375 42.875 44.328125 \n",
       "Q 39.84375 48.1875 33.796875 48.1875 \n",
       "Q 26.515625 48.1875 22.3125 43.546875 \n",
       "Q 18.109375 38.921875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.34375 51.125 25.703125 53.5625 \n",
       "Q 30.078125 56 35.796875 56 \n",
       "Q 45.21875 56 50.046875 50.171875 \n",
       "Q 54.890625 44.34375 54.890625 33.015625 \n",
       "z\n",
       "\" id=\"DejaVuSans-110\"/>\n",
       "       <path d=\"M 56.203125 29.59375 \n",
       "L 56.203125 25.203125 \n",
       "L 14.890625 25.203125 \n",
       "Q 15.484375 15.921875 20.484375 11.0625 \n",
       "Q 25.484375 6.203125 34.421875 6.203125 \n",
       "Q 39.59375 6.203125 44.453125 7.46875 \n",
       "Q 49.3125 8.734375 54.109375 11.28125 \n",
       "L 54.109375 2.78125 \n",
       "Q 49.265625 0.734375 44.1875 -0.34375 \n",
       "Q 39.109375 -1.421875 33.890625 -1.421875 \n",
       "Q 20.796875 -1.421875 13.15625 6.1875 \n",
       "Q 5.515625 13.8125 5.515625 26.8125 \n",
       "Q 5.515625 40.234375 12.765625 48.109375 \n",
       "Q 20.015625 56 32.328125 56 \n",
       "Q 43.359375 56 49.78125 48.890625 \n",
       "Q 56.203125 41.796875 56.203125 29.59375 \n",
       "z\n",
       "M 47.21875 32.234375 \n",
       "Q 47.125 39.59375 43.09375 43.984375 \n",
       "Q 39.0625 48.390625 32.421875 48.390625 \n",
       "Q 24.90625 48.390625 20.390625 44.140625 \n",
       "Q 15.875 39.890625 15.1875 32.171875 \n",
       "z\n",
       "\" id=\"DejaVuSans-101\"/>\n",
       "       <path d=\"M 41.109375 46.296875 \n",
       "Q 39.59375 47.171875 37.8125 47.578125 \n",
       "Q 36.03125 48 33.890625 48 \n",
       "Q 26.265625 48 22.1875 43.046875 \n",
       "Q 18.109375 38.09375 18.109375 28.8125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 20.953125 51.171875 25.484375 53.578125 \n",
       "Q 30.03125 56 36.53125 56 \n",
       "Q 37.453125 56 38.578125 55.875 \n",
       "Q 39.703125 55.765625 41.0625 55.515625 \n",
       "z\n",
       "\" id=\"DejaVuSans-114\"/>\n",
       "       <path d=\"M 45.40625 27.984375 \n",
       "Q 45.40625 37.75 41.375 43.109375 \n",
       "Q 37.359375 48.484375 30.078125 48.484375 \n",
       "Q 22.859375 48.484375 18.828125 43.109375 \n",
       "Q 14.796875 37.75 14.796875 27.984375 \n",
       "Q 14.796875 18.265625 18.828125 12.890625 \n",
       "Q 22.859375 7.515625 30.078125 7.515625 \n",
       "Q 37.359375 7.515625 41.375 12.890625 \n",
       "Q 45.40625 18.265625 45.40625 27.984375 \n",
       "z\n",
       "M 54.390625 6.78125 \n",
       "Q 54.390625 -7.171875 48.1875 -13.984375 \n",
       "Q 42 -20.796875 29.203125 -20.796875 \n",
       "Q 24.46875 -20.796875 20.265625 -20.09375 \n",
       "Q 16.0625 -19.390625 12.109375 -17.921875 \n",
       "L 12.109375 -9.1875 \n",
       "Q 16.0625 -11.328125 19.921875 -12.34375 \n",
       "Q 23.78125 -13.375 27.78125 -13.375 \n",
       "Q 36.625 -13.375 41.015625 -8.765625 \n",
       "Q 45.40625 -4.15625 45.40625 5.171875 \n",
       "L 45.40625 9.625 \n",
       "Q 42.625 4.78125 38.28125 2.390625 \n",
       "Q 33.9375 0 27.875 0 \n",
       "Q 17.828125 0 11.671875 7.65625 \n",
       "Q 5.515625 15.328125 5.515625 27.984375 \n",
       "Q 5.515625 40.671875 11.671875 48.328125 \n",
       "Q 17.828125 56 27.875 56 \n",
       "Q 33.9375 56 38.28125 53.609375 \n",
       "Q 42.625 51.21875 45.40625 46.390625 \n",
       "L 45.40625 54.6875 \n",
       "L 54.390625 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-103\"/>\n",
       "       <path d=\"M 32.171875 -5.078125 \n",
       "Q 28.375 -14.84375 24.75 -17.8125 \n",
       "Q 21.140625 -20.796875 15.09375 -20.796875 \n",
       "L 7.90625 -20.796875 \n",
       "L 7.90625 -13.28125 \n",
       "L 13.1875 -13.28125 \n",
       "Q 16.890625 -13.28125 18.9375 -11.515625 \n",
       "Q 21 -9.765625 23.484375 -3.21875 \n",
       "L 25.09375 0.875 \n",
       "L 2.984375 54.6875 \n",
       "L 12.5 54.6875 \n",
       "L 29.59375 11.921875 \n",
       "L 46.6875 54.6875 \n",
       "L 56.203125 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-121\"/>\n",
       "       <path id=\"DejaVuSans-32\"/>\n",
       "       <path d=\"M 31 75.875 \n",
       "Q 24.46875 64.65625 21.28125 53.65625 \n",
       "Q 18.109375 42.671875 18.109375 31.390625 \n",
       "Q 18.109375 20.125 21.3125 9.0625 \n",
       "Q 24.515625 -2 31 -13.1875 \n",
       "L 23.1875 -13.1875 \n",
       "Q 15.875 -1.703125 12.234375 9.375 \n",
       "Q 8.59375 20.453125 8.59375 31.390625 \n",
       "Q 8.59375 42.28125 12.203125 53.3125 \n",
       "Q 15.828125 64.359375 23.1875 75.875 \n",
       "z\n",
       "\" id=\"DejaVuSans-40\"/>\n",
       "       <path d=\"M 9.078125 75.984375 \n",
       "L 18.109375 75.984375 \n",
       "L 18.109375 31.109375 \n",
       "L 44.921875 54.6875 \n",
       "L 56.390625 54.6875 \n",
       "L 27.390625 29.109375 \n",
       "L 57.625 0 \n",
       "L 45.90625 0 \n",
       "L 18.109375 26.703125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-107\"/>\n",
       "       <path d=\"M 28.609375 0 \n",
       "L 0.78125 72.90625 \n",
       "L 11.078125 72.90625 \n",
       "L 34.1875 11.53125 \n",
       "L 57.328125 72.90625 \n",
       "L 67.578125 72.90625 \n",
       "L 39.796875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-86\"/>\n",
       "       <path d=\"M 8.015625 75.875 \n",
       "L 15.828125 75.875 \n",
       "Q 23.140625 64.359375 26.78125 53.3125 \n",
       "Q 30.421875 42.28125 30.421875 31.390625 \n",
       "Q 30.421875 20.453125 26.78125 9.375 \n",
       "Q 23.140625 -1.703125 15.828125 -13.1875 \n",
       "L 8.015625 -13.1875 \n",
       "Q 14.5 -2 17.703125 9.0625 \n",
       "Q 20.90625 20.125 20.90625 31.390625 \n",
       "Q 20.90625 42.671875 17.703125 53.65625 \n",
       "Q 14.5 64.65625 8.015625 75.875 \n",
       "z\n",
       "\" id=\"DejaVuSans-41\"/>\n",
       "      </defs>\n",
       "      <use xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-110\"/>\n",
       "      <use x=\"126.5625\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"188.085938\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "      <use x=\"227.449219\" xlink:href=\"#DejaVuSans-103\"/>\n",
       "      <use x=\"290.925781\" xlink:href=\"#DejaVuSans-121\"/>\n",
       "      <use x=\"350.105469\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "      <use x=\"381.892578\" xlink:href=\"#DejaVuSans-40\"/>\n",
       "      <use x=\"420.90625\" xlink:href=\"#DejaVuSans-107\"/>\n",
       "      <use x=\"475.191406\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"536.714844\" xlink:href=\"#DejaVuSans-86\"/>\n",
       "      <use x=\"605.123047\" xlink:href=\"#DejaVuSans-41\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_2\">\n",
       "    <g id=\"ytick_1\">\n",
       "     <g id=\"line2d_6\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L -3.5 0 \n",
       "\" id=\"mff0cee7a1d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mff0cee7a1d\" y=\"222.349091\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_7\">\n",
       "      <!-- 0.96 -->\n",
       "      <g transform=\"translate(24.734375 226.14831)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 10.6875 12.40625 \n",
       "L 21 12.40625 \n",
       "L 21 0 \n",
       "L 10.6875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-46\"/>\n",
       "        <path d=\"M 10.984375 1.515625 \n",
       "L 10.984375 10.5 \n",
       "Q 14.703125 8.734375 18.5 7.8125 \n",
       "Q 22.3125 6.890625 25.984375 6.890625 \n",
       "Q 35.75 6.890625 40.890625 13.453125 \n",
       "Q 46.046875 20.015625 46.78125 33.40625 \n",
       "Q 43.953125 29.203125 39.59375 26.953125 \n",
       "Q 35.25 24.703125 29.984375 24.703125 \n",
       "Q 19.046875 24.703125 12.671875 31.3125 \n",
       "Q 6.296875 37.9375 6.296875 49.421875 \n",
       "Q 6.296875 60.640625 12.9375 67.421875 \n",
       "Q 19.578125 74.21875 30.609375 74.21875 \n",
       "Q 43.265625 74.21875 49.921875 64.515625 \n",
       "Q 56.59375 54.828125 56.59375 36.375 \n",
       "Q 56.59375 19.140625 48.40625 8.859375 \n",
       "Q 40.234375 -1.421875 26.421875 -1.421875 \n",
       "Q 22.703125 -1.421875 18.890625 -0.6875 \n",
       "Q 15.09375 0.046875 10.984375 1.515625 \n",
       "z\n",
       "M 30.609375 32.421875 \n",
       "Q 37.25 32.421875 41.125 36.953125 \n",
       "Q 45.015625 41.5 45.015625 49.421875 \n",
       "Q 45.015625 57.28125 41.125 61.84375 \n",
       "Q 37.25 66.40625 30.609375 66.40625 \n",
       "Q 23.96875 66.40625 20.09375 61.84375 \n",
       "Q 16.21875 57.28125 16.21875 49.421875 \n",
       "Q 16.21875 41.5 20.09375 36.953125 \n",
       "Q 23.96875 32.421875 30.609375 32.421875 \n",
       "z\n",
       "\" id=\"DejaVuSans-57\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-54\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_2\">\n",
       "     <g id=\"line2d_7\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mff0cee7a1d\" y=\"182.814545\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_8\">\n",
       "      <!-- 0.98 -->\n",
       "      <g transform=\"translate(24.734375 186.613764)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-56\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_3\">\n",
       "     <g id=\"line2d_8\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mff0cee7a1d\" y=\"143.28\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_9\">\n",
       "      <!-- 1.00 -->\n",
       "      <g transform=\"translate(24.734375 147.079219)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 12.40625 8.296875 \n",
       "L 28.515625 8.296875 \n",
       "L 28.515625 63.921875 \n",
       "L 10.984375 60.40625 \n",
       "L 10.984375 69.390625 \n",
       "L 28.421875 72.90625 \n",
       "L 38.28125 72.90625 \n",
       "L 38.28125 8.296875 \n",
       "L 54.390625 8.296875 \n",
       "L 54.390625 0 \n",
       "L 12.40625 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-49\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_4\">\n",
       "     <g id=\"line2d_9\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mff0cee7a1d\" y=\"103.745455\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_10\">\n",
       "      <!-- 1.02 -->\n",
       "      <g transform=\"translate(24.734375 107.544673)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_5\">\n",
       "     <g id=\"line2d_10\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#mff0cee7a1d\" y=\"64.210909\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_11\">\n",
       "      <!-- 1.04 -->\n",
       "      <g transform=\"translate(24.734375 68.010128)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_12\">\n",
       "     <!-- cm$^2$ -->\n",
       "     <g transform=\"translate(18.654688 153.33)rotate(-90)scale(0.1 -0.1)\">\n",
       "      <defs>\n",
       "       <path d=\"M 48.78125 52.59375 \n",
       "L 48.78125 44.1875 \n",
       "Q 44.96875 46.296875 41.140625 47.34375 \n",
       "Q 37.3125 48.390625 33.40625 48.390625 \n",
       "Q 24.65625 48.390625 19.8125 42.84375 \n",
       "Q 14.984375 37.3125 14.984375 27.296875 \n",
       "Q 14.984375 17.28125 19.8125 11.734375 \n",
       "Q 24.65625 6.203125 33.40625 6.203125 \n",
       "Q 37.3125 6.203125 41.140625 7.25 \n",
       "Q 44.96875 8.296875 48.78125 10.40625 \n",
       "L 48.78125 2.09375 \n",
       "Q 45.015625 0.34375 40.984375 -0.53125 \n",
       "Q 36.96875 -1.421875 32.421875 -1.421875 \n",
       "Q 20.0625 -1.421875 12.78125 6.34375 \n",
       "Q 5.515625 14.109375 5.515625 27.296875 \n",
       "Q 5.515625 40.671875 12.859375 48.328125 \n",
       "Q 20.21875 56 33.015625 56 \n",
       "Q 37.15625 56 41.109375 55.140625 \n",
       "Q 45.0625 54.296875 48.78125 52.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-99\"/>\n",
       "       <path d=\"M 52 44.1875 \n",
       "Q 55.375 50.25 60.0625 53.125 \n",
       "Q 64.75 56 71.09375 56 \n",
       "Q 79.640625 56 84.28125 50.015625 \n",
       "Q 88.921875 44.046875 88.921875 33.015625 \n",
       "L 88.921875 0 \n",
       "L 79.890625 0 \n",
       "L 79.890625 32.71875 \n",
       "Q 79.890625 40.578125 77.09375 44.375 \n",
       "Q 74.3125 48.1875 68.609375 48.1875 \n",
       "Q 61.625 48.1875 57.5625 43.546875 \n",
       "Q 53.515625 38.921875 53.515625 30.90625 \n",
       "L 53.515625 0 \n",
       "L 44.484375 0 \n",
       "L 44.484375 32.71875 \n",
       "Q 44.484375 40.625 41.703125 44.40625 \n",
       "Q 38.921875 48.1875 33.109375 48.1875 \n",
       "Q 26.21875 48.1875 22.15625 43.53125 \n",
       "Q 18.109375 38.875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.1875 51.21875 25.484375 53.609375 \n",
       "Q 29.78125 56 35.6875 56 \n",
       "Q 41.65625 56 45.828125 52.96875 \n",
       "Q 50 49.953125 52 44.1875 \n",
       "z\n",
       "\" id=\"DejaVuSans-109\"/>\n",
       "      </defs>\n",
       "      <use transform=\"translate(0 0.765625)\" xlink:href=\"#DejaVuSans-99\"/>\n",
       "      <use transform=\"translate(54.980469 0.765625)\" xlink:href=\"#DejaVuSans-109\"/>\n",
       "      <use transform=\"translate(153.349609 39.046875)scale(0.7)\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_11\">\n",
       "    <path clip-path=\"url(#p7d39395f23)\" d=\"M 69.218182 143.28 \n",
       "L 373.581818 143.28 \n",
       "L 373.581818 143.28 \n",
       "\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_12\"/>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 54 252 \n",
       "L 54 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 388.8 252 \n",
       "L 388.8 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 54 252 \n",
       "L 388.8 252 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 54 34.56 \n",
       "L 388.8 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_13\">\n",
       "    <!-- data/acisf04938_000N002_r0043_arf3.fits -->\n",
       "    <g transform=\"translate(95.528438 28.56)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 45.40625 46.390625 \n",
       "L 45.40625 75.984375 \n",
       "L 54.390625 75.984375 \n",
       "L 54.390625 0 \n",
       "L 45.40625 0 \n",
       "L 45.40625 8.203125 \n",
       "Q 42.578125 3.328125 38.25 0.953125 \n",
       "Q 33.9375 -1.421875 27.875 -1.421875 \n",
       "Q 17.96875 -1.421875 11.734375 6.484375 \n",
       "Q 5.515625 14.40625 5.515625 27.296875 \n",
       "Q 5.515625 40.1875 11.734375 48.09375 \n",
       "Q 17.96875 56 27.875 56 \n",
       "Q 33.9375 56 38.25 53.625 \n",
       "Q 42.578125 51.265625 45.40625 46.390625 \n",
       "z\n",
       "M 14.796875 27.296875 \n",
       "Q 14.796875 17.390625 18.875 11.75 \n",
       "Q 22.953125 6.109375 30.078125 6.109375 \n",
       "Q 37.203125 6.109375 41.296875 11.75 \n",
       "Q 45.40625 17.390625 45.40625 27.296875 \n",
       "Q 45.40625 37.203125 41.296875 42.84375 \n",
       "Q 37.203125 48.484375 30.078125 48.484375 \n",
       "Q 22.953125 48.484375 18.875 42.84375 \n",
       "Q 14.796875 37.203125 14.796875 27.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-100\"/>\n",
       "      <path d=\"M 34.28125 27.484375 \n",
       "Q 23.390625 27.484375 19.1875 25 \n",
       "Q 14.984375 22.515625 14.984375 16.5 \n",
       "Q 14.984375 11.71875 18.140625 8.90625 \n",
       "Q 21.296875 6.109375 26.703125 6.109375 \n",
       "Q 34.1875 6.109375 38.703125 11.40625 \n",
       "Q 43.21875 16.703125 43.21875 25.484375 \n",
       "L 43.21875 27.484375 \n",
       "z\n",
       "M 52.203125 31.203125 \n",
       "L 52.203125 0 \n",
       "L 43.21875 0 \n",
       "L 43.21875 8.296875 \n",
       "Q 40.140625 3.328125 35.546875 0.953125 \n",
       "Q 30.953125 -1.421875 24.3125 -1.421875 \n",
       "Q 15.921875 -1.421875 10.953125 3.296875 \n",
       "Q 6 8.015625 6 15.921875 \n",
       "Q 6 25.140625 12.171875 29.828125 \n",
       "Q 18.359375 34.515625 30.609375 34.515625 \n",
       "L 43.21875 34.515625 \n",
       "L 43.21875 35.40625 \n",
       "Q 43.21875 41.609375 39.140625 45 \n",
       "Q 35.0625 48.390625 27.6875 48.390625 \n",
       "Q 23 48.390625 18.546875 47.265625 \n",
       "Q 14.109375 46.140625 10.015625 43.890625 \n",
       "L 10.015625 52.203125 \n",
       "Q 14.9375 54.109375 19.578125 55.046875 \n",
       "Q 24.21875 56 28.609375 56 \n",
       "Q 40.484375 56 46.34375 49.84375 \n",
       "Q 52.203125 43.703125 52.203125 31.203125 \n",
       "z\n",
       "\" id=\"DejaVuSans-97\"/>\n",
       "      <path d=\"M 18.3125 70.21875 \n",
       "L 18.3125 54.6875 \n",
       "L 36.8125 54.6875 \n",
       "L 36.8125 47.703125 \n",
       "L 18.3125 47.703125 \n",
       "L 18.3125 18.015625 \n",
       "Q 18.3125 11.328125 20.140625 9.421875 \n",
       "Q 21.96875 7.515625 27.59375 7.515625 \n",
       "L 36.8125 7.515625 \n",
       "L 36.8125 0 \n",
       "L 27.59375 0 \n",
       "Q 17.1875 0 13.234375 3.875 \n",
       "Q 9.28125 7.765625 9.28125 18.015625 \n",
       "L 9.28125 47.703125 \n",
       "L 2.6875 47.703125 \n",
       "L 2.6875 54.6875 \n",
       "L 9.28125 54.6875 \n",
       "L 9.28125 70.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-116\"/>\n",
       "      <path d=\"M 25.390625 72.90625 \n",
       "L 33.6875 72.90625 \n",
       "L 8.296875 -9.28125 \n",
       "L 0 -9.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-47\"/>\n",
       "      <path d=\"M 9.421875 54.6875 \n",
       "L 18.40625 54.6875 \n",
       "L 18.40625 0 \n",
       "L 9.421875 0 \n",
       "z\n",
       "M 9.421875 75.984375 \n",
       "L 18.40625 75.984375 \n",
       "L 18.40625 64.59375 \n",
       "L 9.421875 64.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-105\"/>\n",
       "      <path d=\"M 44.28125 53.078125 \n",
       "L 44.28125 44.578125 \n",
       "Q 40.484375 46.53125 36.375 47.5 \n",
       "Q 32.28125 48.484375 27.875 48.484375 \n",
       "Q 21.1875 48.484375 17.84375 46.4375 \n",
       "Q 14.5 44.390625 14.5 40.28125 \n",
       "Q 14.5 37.15625 16.890625 35.375 \n",
       "Q 19.28125 33.59375 26.515625 31.984375 \n",
       "L 29.59375 31.296875 \n",
       "Q 39.15625 29.25 43.1875 25.515625 \n",
       "Q 47.21875 21.78125 47.21875 15.09375 \n",
       "Q 47.21875 7.46875 41.1875 3.015625 \n",
       "Q 35.15625 -1.421875 24.609375 -1.421875 \n",
       "Q 20.21875 -1.421875 15.453125 -0.5625 \n",
       "Q 10.6875 0.296875 5.421875 2 \n",
       "L 5.421875 11.28125 \n",
       "Q 10.40625 8.6875 15.234375 7.390625 \n",
       "Q 20.0625 6.109375 24.8125 6.109375 \n",
       "Q 31.15625 6.109375 34.5625 8.28125 \n",
       "Q 37.984375 10.453125 37.984375 14.40625 \n",
       "Q 37.984375 18.0625 35.515625 20.015625 \n",
       "Q 33.0625 21.96875 24.703125 23.78125 \n",
       "L 21.578125 24.515625 \n",
       "Q 13.234375 26.265625 9.515625 29.90625 \n",
       "Q 5.8125 33.546875 5.8125 39.890625 \n",
       "Q 5.8125 47.609375 11.28125 51.796875 \n",
       "Q 16.75 56 26.8125 56 \n",
       "Q 31.78125 56 36.171875 55.265625 \n",
       "Q 40.578125 54.546875 44.28125 53.078125 \n",
       "z\n",
       "\" id=\"DejaVuSans-115\"/>\n",
       "      <path d=\"M 37.109375 75.984375 \n",
       "L 37.109375 68.5 \n",
       "L 28.515625 68.5 \n",
       "Q 23.6875 68.5 21.796875 66.546875 \n",
       "Q 19.921875 64.59375 19.921875 59.515625 \n",
       "L 19.921875 54.6875 \n",
       "L 34.71875 54.6875 \n",
       "L 34.71875 47.703125 \n",
       "L 19.921875 47.703125 \n",
       "L 19.921875 0 \n",
       "L 10.890625 0 \n",
       "L 10.890625 47.703125 \n",
       "L 2.296875 47.703125 \n",
       "L 2.296875 54.6875 \n",
       "L 10.890625 54.6875 \n",
       "L 10.890625 58.5 \n",
       "Q 10.890625 67.625 15.140625 71.796875 \n",
       "Q 19.390625 75.984375 28.609375 75.984375 \n",
       "z\n",
       "\" id=\"DejaVuSans-102\"/>\n",
       "      <path d=\"M 40.578125 39.3125 \n",
       "Q 47.65625 37.796875 51.625 33 \n",
       "Q 55.609375 28.21875 55.609375 21.1875 \n",
       "Q 55.609375 10.40625 48.1875 4.484375 \n",
       "Q 40.765625 -1.421875 27.09375 -1.421875 \n",
       "Q 22.515625 -1.421875 17.65625 -0.515625 \n",
       "Q 12.796875 0.390625 7.625 2.203125 \n",
       "L 7.625 11.71875 \n",
       "Q 11.71875 9.328125 16.59375 8.109375 \n",
       "Q 21.484375 6.890625 26.8125 6.890625 \n",
       "Q 36.078125 6.890625 40.9375 10.546875 \n",
       "Q 45.796875 14.203125 45.796875 21.1875 \n",
       "Q 45.796875 27.640625 41.28125 31.265625 \n",
       "Q 36.765625 34.90625 28.71875 34.90625 \n",
       "L 20.21875 34.90625 \n",
       "L 20.21875 43.015625 \n",
       "L 29.109375 43.015625 \n",
       "Q 36.375 43.015625 40.234375 45.921875 \n",
       "Q 44.09375 48.828125 44.09375 54.296875 \n",
       "Q 44.09375 59.90625 40.109375 62.90625 \n",
       "Q 36.140625 65.921875 28.71875 65.921875 \n",
       "Q 24.65625 65.921875 20.015625 65.03125 \n",
       "Q 15.375 64.15625 9.8125 62.3125 \n",
       "L 9.8125 71.09375 \n",
       "Q 15.4375 72.65625 20.34375 73.4375 \n",
       "Q 25.25 74.21875 29.59375 74.21875 \n",
       "Q 40.828125 74.21875 47.359375 69.109375 \n",
       "Q 53.90625 64.015625 53.90625 55.328125 \n",
       "Q 53.90625 49.265625 50.4375 45.09375 \n",
       "Q 46.96875 40.921875 40.578125 39.3125 \n",
       "z\n",
       "\" id=\"DejaVuSans-51\"/>\n",
       "      <path d=\"M 50.984375 -16.609375 \n",
       "L 50.984375 -23.578125 \n",
       "L -0.984375 -23.578125 \n",
       "L -0.984375 -16.609375 \n",
       "z\n",
       "\" id=\"DejaVuSans-95\"/>\n",
       "      <path d=\"M 9.8125 72.90625 \n",
       "L 23.09375 72.90625 \n",
       "L 55.421875 11.921875 \n",
       "L 55.421875 72.90625 \n",
       "L 64.984375 72.90625 \n",
       "L 64.984375 0 \n",
       "L 51.703125 0 \n",
       "L 19.390625 60.984375 \n",
       "L 19.390625 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-78\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-100\"/>\n",
       "     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"124.755859\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "     <use x=\"163.964844\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"225.244141\" xlink:href=\"#DejaVuSans-47\"/>\n",
       "     <use x=\"258.935547\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"320.214844\" xlink:href=\"#DejaVuSans-99\"/>\n",
       "     <use x=\"375.195312\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"402.978516\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "     <use x=\"455.078125\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"490.283203\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"553.90625\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "     <use x=\"617.529297\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "     <use x=\"681.152344\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"744.775391\" xlink:href=\"#DejaVuSans-56\"/>\n",
       "     <use x=\"808.398438\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"858.398438\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"922.021484\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"985.644531\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1049.267578\" xlink:href=\"#DejaVuSans-78\"/>\n",
       "     <use x=\"1124.072266\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1187.695312\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1251.318359\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "     <use x=\"1314.941406\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"1364.941406\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"1406.054688\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1469.677734\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1533.300781\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "     <use x=\"1596.923828\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"1660.546875\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"1710.546875\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"1771.826172\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"1812.939453\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"1848.144531\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"1911.767578\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "     <use x=\"1943.554688\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"1978.759766\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"2006.542969\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "     <use x=\"2045.751953\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"p7d39395f23\">\n",
       "   <rect height=\"217.44\" width=\"334.8\" x=\"54\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n",
       "</details></div><details open><summary>Summary (5)</summary><div class=\"datavals\"><div class=\"dataname\">Identifier</div><div class=\"dataval\">data/acisf04938_000N002_r0043_arf3.fits</div><div class=\"dataname\">Exposure</div><div class=\"dataval\">50454.2 s</div><div class=\"dataname\">Number of bins</div><div class=\"dataval\">900</div><div class=\"dataname\">Energy range</div><div class=\"dataval\">0.3 - 9.3 keV, bin size 0.0100002 keV</div><div class=\"dataname\">Area range</div><div class=\"dataval\">1 - 1 cm<sup>2</sup></div></div></details><details><summary>Metadata (5)</summary><div class=\"datavals\"><div class=\"dataname\">Mission or Satellite</div><div class=\"dataval\">CHANDRA</div><div class=\"dataname\">Instrument or Detector</div><div class=\"dataval\">ACIS</div><div class=\"dataname\">Object</div><div class=\"dataval\">CSC</div><div class=\"dataname\">Observation date</div><div class=\"dataval\">2005-05-03T13:18:52</div><div class=\"dataname\">Program that created the ARF</div><div class=\"dataval\">dmjoin - CAT3.0.6</div></div></details></div>"
      ],
      "text/plain": [
       "<DataARF data set instance 'data/acisf04938_000N002_r0043_arf3.fits'>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_arf(99, bkg_id=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "compact-utilization",
   "metadata": {},
   "source": [
    "Let's check the source ARF is un-changed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "chronic-lodge",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;DataARF data set instance &#x27;data/acisf04938_000N002_r0043_arf3.fits&#x27;&gt;</div><div hidden class=\"sherpa\"><style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;sherpa.astro.plot.ARFPlot object at 0x7fdb42211700&gt;</div><div hidden class=\"sherpa\"><details open><summary>ARF Plot</summary><svg height=\"288pt\" version=\"1.1\" viewBox=\"0 0 432 288\" width=\"432pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <metadata>\n",
       "  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
       "   <cc:Work>\n",
       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
       "    <dc:date>2021-08-27T11:37:42.373025</dc:date>\n",
       "    <dc:format>image/svg+xml</dc:format>\n",
       "    <dc:creator>\n",
       "     <cc:Agent>\n",
       "      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n",
       "     </cc:Agent>\n",
       "    </dc:creator>\n",
       "   </cc:Work>\n",
       "  </rdf:RDF>\n",
       " </metadata>\n",
       " <defs>\n",
       "  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 288 \n",
       "L 432 288 \n",
       "L 432 0 \n",
       "L 0 0 \n",
       "z\n",
       "\" style=\"fill:none;\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g id=\"patch_2\">\n",
       "    <path d=\"M 54 252 \n",
       "L 388.8 252 \n",
       "L 388.8 34.56 \n",
       "L 54 34.56 \n",
       "z\n",
       "\" style=\"fill:#ffffff;\"/>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_1\">\n",
       "    <g id=\"xtick_1\">\n",
       "     <g id=\"line2d_1\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L 0 3.5 \n",
       "\" id=\"mdbfd79c8b5\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"59.072727\" xlink:href=\"#mdbfd79c8b5\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_1\">\n",
       "      <!-- 0 -->\n",
       "      <g transform=\"translate(55.891477 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 31.78125 66.40625 \n",
       "Q 24.171875 66.40625 20.328125 58.90625 \n",
       "Q 16.5 51.421875 16.5 36.375 \n",
       "Q 16.5 21.390625 20.328125 13.890625 \n",
       "Q 24.171875 6.390625 31.78125 6.390625 \n",
       "Q 39.453125 6.390625 43.28125 13.890625 \n",
       "Q 47.125 21.390625 47.125 36.375 \n",
       "Q 47.125 51.421875 43.28125 58.90625 \n",
       "Q 39.453125 66.40625 31.78125 66.40625 \n",
       "z\n",
       "M 31.78125 74.21875 \n",
       "Q 44.046875 74.21875 50.515625 64.515625 \n",
       "Q 56.984375 54.828125 56.984375 36.375 \n",
       "Q 56.984375 17.96875 50.515625 8.265625 \n",
       "Q 44.046875 -1.421875 31.78125 -1.421875 \n",
       "Q 19.53125 -1.421875 13.0625 8.265625 \n",
       "Q 6.59375 17.96875 6.59375 36.375 \n",
       "Q 6.59375 54.828125 13.0625 64.515625 \n",
       "Q 19.53125 74.21875 31.78125 74.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-48\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_2\">\n",
       "     <g id=\"line2d_2\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.709089\" xlink:href=\"#mdbfd79c8b5\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_2\">\n",
       "      <!-- 2 -->\n",
       "      <g transform=\"translate(123.527839 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 19.1875 8.296875 \n",
       "L 53.609375 8.296875 \n",
       "L 53.609375 0 \n",
       "L 7.328125 0 \n",
       "L 7.328125 8.296875 \n",
       "Q 12.9375 14.109375 22.625 23.890625 \n",
       "Q 32.328125 33.6875 34.8125 36.53125 \n",
       "Q 39.546875 41.84375 41.421875 45.53125 \n",
       "Q 43.3125 49.21875 43.3125 52.78125 \n",
       "Q 43.3125 58.59375 39.234375 62.25 \n",
       "Q 35.15625 65.921875 28.609375 65.921875 \n",
       "Q 23.96875 65.921875 18.8125 64.3125 \n",
       "Q 13.671875 62.703125 7.8125 59.421875 \n",
       "L 7.8125 69.390625 \n",
       "Q 13.765625 71.78125 18.9375 73 \n",
       "Q 24.125 74.21875 28.421875 74.21875 \n",
       "Q 39.75 74.21875 46.484375 68.546875 \n",
       "Q 53.21875 62.890625 53.21875 53.421875 \n",
       "Q 53.21875 48.921875 51.53125 44.890625 \n",
       "Q 49.859375 40.875 45.40625 35.40625 \n",
       "Q 44.1875 33.984375 37.640625 27.21875 \n",
       "Q 31.109375 20.453125 19.1875 8.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-50\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_3\">\n",
       "     <g id=\"line2d_3\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"194.345452\" xlink:href=\"#mdbfd79c8b5\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_3\">\n",
       "      <!-- 4 -->\n",
       "      <g transform=\"translate(191.164202 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 37.796875 64.3125 \n",
       "L 12.890625 25.390625 \n",
       "L 37.796875 25.390625 \n",
       "z\n",
       "M 35.203125 72.90625 \n",
       "L 47.609375 72.90625 \n",
       "L 47.609375 25.390625 \n",
       "L 58.015625 25.390625 \n",
       "L 58.015625 17.1875 \n",
       "L 47.609375 17.1875 \n",
       "L 47.609375 0 \n",
       "L 37.796875 0 \n",
       "L 37.796875 17.1875 \n",
       "L 4.890625 17.1875 \n",
       "L 4.890625 26.703125 \n",
       "z\n",
       "\" id=\"DejaVuSans-52\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_4\">\n",
       "     <g id=\"line2d_4\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"261.981814\" xlink:href=\"#mdbfd79c8b5\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_4\">\n",
       "      <!-- 6 -->\n",
       "      <g transform=\"translate(258.800564 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 33.015625 40.375 \n",
       "Q 26.375 40.375 22.484375 35.828125 \n",
       "Q 18.609375 31.296875 18.609375 23.390625 \n",
       "Q 18.609375 15.53125 22.484375 10.953125 \n",
       "Q 26.375 6.390625 33.015625 6.390625 \n",
       "Q 39.65625 6.390625 43.53125 10.953125 \n",
       "Q 47.40625 15.53125 47.40625 23.390625 \n",
       "Q 47.40625 31.296875 43.53125 35.828125 \n",
       "Q 39.65625 40.375 33.015625 40.375 \n",
       "z\n",
       "M 52.59375 71.296875 \n",
       "L 52.59375 62.3125 \n",
       "Q 48.875 64.0625 45.09375 64.984375 \n",
       "Q 41.3125 65.921875 37.59375 65.921875 \n",
       "Q 27.828125 65.921875 22.671875 59.328125 \n",
       "Q 17.53125 52.734375 16.796875 39.40625 \n",
       "Q 19.671875 43.65625 24.015625 45.921875 \n",
       "Q 28.375 48.1875 33.59375 48.1875 \n",
       "Q 44.578125 48.1875 50.953125 41.515625 \n",
       "Q 57.328125 34.859375 57.328125 23.390625 \n",
       "Q 57.328125 12.15625 50.6875 5.359375 \n",
       "Q 44.046875 -1.421875 33.015625 -1.421875 \n",
       "Q 20.359375 -1.421875 13.671875 8.265625 \n",
       "Q 6.984375 17.96875 6.984375 36.375 \n",
       "Q 6.984375 53.65625 15.1875 63.9375 \n",
       "Q 23.390625 74.21875 37.203125 74.21875 \n",
       "Q 40.921875 74.21875 44.703125 73.484375 \n",
       "Q 48.484375 72.75 52.59375 71.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-54\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-54\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"xtick_5\">\n",
       "     <g id=\"line2d_5\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"329.618176\" xlink:href=\"#mdbfd79c8b5\" y=\"252\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_5\">\n",
       "      <!-- 8 -->\n",
       "      <g transform=\"translate(326.436926 266.598437)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 31.78125 34.625 \n",
       "Q 24.75 34.625 20.71875 30.859375 \n",
       "Q 16.703125 27.09375 16.703125 20.515625 \n",
       "Q 16.703125 13.921875 20.71875 10.15625 \n",
       "Q 24.75 6.390625 31.78125 6.390625 \n",
       "Q 38.8125 6.390625 42.859375 10.171875 \n",
       "Q 46.921875 13.96875 46.921875 20.515625 \n",
       "Q 46.921875 27.09375 42.890625 30.859375 \n",
       "Q 38.875 34.625 31.78125 34.625 \n",
       "z\n",
       "M 21.921875 38.8125 \n",
       "Q 15.578125 40.375 12.03125 44.71875 \n",
       "Q 8.5 49.078125 8.5 55.328125 \n",
       "Q 8.5 64.0625 14.71875 69.140625 \n",
       "Q 20.953125 74.21875 31.78125 74.21875 \n",
       "Q 42.671875 74.21875 48.875 69.140625 \n",
       "Q 55.078125 64.0625 55.078125 55.328125 \n",
       "Q 55.078125 49.078125 51.53125 44.71875 \n",
       "Q 48 40.375 41.703125 38.8125 \n",
       "Q 48.828125 37.15625 52.796875 32.3125 \n",
       "Q 56.78125 27.484375 56.78125 20.515625 \n",
       "Q 56.78125 9.90625 50.3125 4.234375 \n",
       "Q 43.84375 -1.421875 31.78125 -1.421875 \n",
       "Q 19.734375 -1.421875 13.25 4.234375 \n",
       "Q 6.78125 9.90625 6.78125 20.515625 \n",
       "Q 6.78125 27.484375 10.78125 32.3125 \n",
       "Q 14.796875 37.15625 21.921875 38.8125 \n",
       "z\n",
       "M 18.3125 54.390625 \n",
       "Q 18.3125 48.734375 21.84375 45.5625 \n",
       "Q 25.390625 42.390625 31.78125 42.390625 \n",
       "Q 38.140625 42.390625 41.71875 45.5625 \n",
       "Q 45.3125 48.734375 45.3125 54.390625 \n",
       "Q 45.3125 60.0625 41.71875 63.234375 \n",
       "Q 38.140625 66.40625 31.78125 66.40625 \n",
       "Q 25.390625 66.40625 21.84375 63.234375 \n",
       "Q 18.3125 60.0625 18.3125 54.390625 \n",
       "z\n",
       "\" id=\"DejaVuSans-56\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-56\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_6\">\n",
       "     <!-- Energy (keV) -->\n",
       "     <g transform=\"translate(189.192187 280.276563)scale(0.1 -0.1)\">\n",
       "      <defs>\n",
       "       <path d=\"M 9.8125 72.90625 \n",
       "L 55.90625 72.90625 \n",
       "L 55.90625 64.59375 \n",
       "L 19.671875 64.59375 \n",
       "L 19.671875 43.015625 \n",
       "L 54.390625 43.015625 \n",
       "L 54.390625 34.71875 \n",
       "L 19.671875 34.71875 \n",
       "L 19.671875 8.296875 \n",
       "L 56.78125 8.296875 \n",
       "L 56.78125 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-69\"/>\n",
       "       <path d=\"M 54.890625 33.015625 \n",
       "L 54.890625 0 \n",
       "L 45.90625 0 \n",
       "L 45.90625 32.71875 \n",
       "Q 45.90625 40.484375 42.875 44.328125 \n",
       "Q 39.84375 48.1875 33.796875 48.1875 \n",
       "Q 26.515625 48.1875 22.3125 43.546875 \n",
       "Q 18.109375 38.921875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.34375 51.125 25.703125 53.5625 \n",
       "Q 30.078125 56 35.796875 56 \n",
       "Q 45.21875 56 50.046875 50.171875 \n",
       "Q 54.890625 44.34375 54.890625 33.015625 \n",
       "z\n",
       "\" id=\"DejaVuSans-110\"/>\n",
       "       <path d=\"M 56.203125 29.59375 \n",
       "L 56.203125 25.203125 \n",
       "L 14.890625 25.203125 \n",
       "Q 15.484375 15.921875 20.484375 11.0625 \n",
       "Q 25.484375 6.203125 34.421875 6.203125 \n",
       "Q 39.59375 6.203125 44.453125 7.46875 \n",
       "Q 49.3125 8.734375 54.109375 11.28125 \n",
       "L 54.109375 2.78125 \n",
       "Q 49.265625 0.734375 44.1875 -0.34375 \n",
       "Q 39.109375 -1.421875 33.890625 -1.421875 \n",
       "Q 20.796875 -1.421875 13.15625 6.1875 \n",
       "Q 5.515625 13.8125 5.515625 26.8125 \n",
       "Q 5.515625 40.234375 12.765625 48.109375 \n",
       "Q 20.015625 56 32.328125 56 \n",
       "Q 43.359375 56 49.78125 48.890625 \n",
       "Q 56.203125 41.796875 56.203125 29.59375 \n",
       "z\n",
       "M 47.21875 32.234375 \n",
       "Q 47.125 39.59375 43.09375 43.984375 \n",
       "Q 39.0625 48.390625 32.421875 48.390625 \n",
       "Q 24.90625 48.390625 20.390625 44.140625 \n",
       "Q 15.875 39.890625 15.1875 32.171875 \n",
       "z\n",
       "\" id=\"DejaVuSans-101\"/>\n",
       "       <path d=\"M 41.109375 46.296875 \n",
       "Q 39.59375 47.171875 37.8125 47.578125 \n",
       "Q 36.03125 48 33.890625 48 \n",
       "Q 26.265625 48 22.1875 43.046875 \n",
       "Q 18.109375 38.09375 18.109375 28.8125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 20.953125 51.171875 25.484375 53.578125 \n",
       "Q 30.03125 56 36.53125 56 \n",
       "Q 37.453125 56 38.578125 55.875 \n",
       "Q 39.703125 55.765625 41.0625 55.515625 \n",
       "z\n",
       "\" id=\"DejaVuSans-114\"/>\n",
       "       <path d=\"M 45.40625 27.984375 \n",
       "Q 45.40625 37.75 41.375 43.109375 \n",
       "Q 37.359375 48.484375 30.078125 48.484375 \n",
       "Q 22.859375 48.484375 18.828125 43.109375 \n",
       "Q 14.796875 37.75 14.796875 27.984375 \n",
       "Q 14.796875 18.265625 18.828125 12.890625 \n",
       "Q 22.859375 7.515625 30.078125 7.515625 \n",
       "Q 37.359375 7.515625 41.375 12.890625 \n",
       "Q 45.40625 18.265625 45.40625 27.984375 \n",
       "z\n",
       "M 54.390625 6.78125 \n",
       "Q 54.390625 -7.171875 48.1875 -13.984375 \n",
       "Q 42 -20.796875 29.203125 -20.796875 \n",
       "Q 24.46875 -20.796875 20.265625 -20.09375 \n",
       "Q 16.0625 -19.390625 12.109375 -17.921875 \n",
       "L 12.109375 -9.1875 \n",
       "Q 16.0625 -11.328125 19.921875 -12.34375 \n",
       "Q 23.78125 -13.375 27.78125 -13.375 \n",
       "Q 36.625 -13.375 41.015625 -8.765625 \n",
       "Q 45.40625 -4.15625 45.40625 5.171875 \n",
       "L 45.40625 9.625 \n",
       "Q 42.625 4.78125 38.28125 2.390625 \n",
       "Q 33.9375 0 27.875 0 \n",
       "Q 17.828125 0 11.671875 7.65625 \n",
       "Q 5.515625 15.328125 5.515625 27.984375 \n",
       "Q 5.515625 40.671875 11.671875 48.328125 \n",
       "Q 17.828125 56 27.875 56 \n",
       "Q 33.9375 56 38.28125 53.609375 \n",
       "Q 42.625 51.21875 45.40625 46.390625 \n",
       "L 45.40625 54.6875 \n",
       "L 54.390625 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-103\"/>\n",
       "       <path d=\"M 32.171875 -5.078125 \n",
       "Q 28.375 -14.84375 24.75 -17.8125 \n",
       "Q 21.140625 -20.796875 15.09375 -20.796875 \n",
       "L 7.90625 -20.796875 \n",
       "L 7.90625 -13.28125 \n",
       "L 13.1875 -13.28125 \n",
       "Q 16.890625 -13.28125 18.9375 -11.515625 \n",
       "Q 21 -9.765625 23.484375 -3.21875 \n",
       "L 25.09375 0.875 \n",
       "L 2.984375 54.6875 \n",
       "L 12.5 54.6875 \n",
       "L 29.59375 11.921875 \n",
       "L 46.6875 54.6875 \n",
       "L 56.203125 54.6875 \n",
       "z\n",
       "\" id=\"DejaVuSans-121\"/>\n",
       "       <path id=\"DejaVuSans-32\"/>\n",
       "       <path d=\"M 31 75.875 \n",
       "Q 24.46875 64.65625 21.28125 53.65625 \n",
       "Q 18.109375 42.671875 18.109375 31.390625 \n",
       "Q 18.109375 20.125 21.3125 9.0625 \n",
       "Q 24.515625 -2 31 -13.1875 \n",
       "L 23.1875 -13.1875 \n",
       "Q 15.875 -1.703125 12.234375 9.375 \n",
       "Q 8.59375 20.453125 8.59375 31.390625 \n",
       "Q 8.59375 42.28125 12.203125 53.3125 \n",
       "Q 15.828125 64.359375 23.1875 75.875 \n",
       "z\n",
       "\" id=\"DejaVuSans-40\"/>\n",
       "       <path d=\"M 9.078125 75.984375 \n",
       "L 18.109375 75.984375 \n",
       "L 18.109375 31.109375 \n",
       "L 44.921875 54.6875 \n",
       "L 56.390625 54.6875 \n",
       "L 27.390625 29.109375 \n",
       "L 57.625 0 \n",
       "L 45.90625 0 \n",
       "L 18.109375 26.703125 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-107\"/>\n",
       "       <path d=\"M 28.609375 0 \n",
       "L 0.78125 72.90625 \n",
       "L 11.078125 72.90625 \n",
       "L 34.1875 11.53125 \n",
       "L 57.328125 72.90625 \n",
       "L 67.578125 72.90625 \n",
       "L 39.796875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-86\"/>\n",
       "       <path d=\"M 8.015625 75.875 \n",
       "L 15.828125 75.875 \n",
       "Q 23.140625 64.359375 26.78125 53.3125 \n",
       "Q 30.421875 42.28125 30.421875 31.390625 \n",
       "Q 30.421875 20.453125 26.78125 9.375 \n",
       "Q 23.140625 -1.703125 15.828125 -13.1875 \n",
       "L 8.015625 -13.1875 \n",
       "Q 14.5 -2 17.703125 9.0625 \n",
       "Q 20.90625 20.125 20.90625 31.390625 \n",
       "Q 20.90625 42.671875 17.703125 53.65625 \n",
       "Q 14.5 64.65625 8.015625 75.875 \n",
       "z\n",
       "\" id=\"DejaVuSans-41\"/>\n",
       "      </defs>\n",
       "      <use xlink:href=\"#DejaVuSans-69\"/>\n",
       "      <use x=\"63.183594\" xlink:href=\"#DejaVuSans-110\"/>\n",
       "      <use x=\"126.5625\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"188.085938\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "      <use x=\"227.449219\" xlink:href=\"#DejaVuSans-103\"/>\n",
       "      <use x=\"290.925781\" xlink:href=\"#DejaVuSans-121\"/>\n",
       "      <use x=\"350.105469\" xlink:href=\"#DejaVuSans-32\"/>\n",
       "      <use x=\"381.892578\" xlink:href=\"#DejaVuSans-40\"/>\n",
       "      <use x=\"420.90625\" xlink:href=\"#DejaVuSans-107\"/>\n",
       "      <use x=\"475.191406\" xlink:href=\"#DejaVuSans-101\"/>\n",
       "      <use x=\"536.714844\" xlink:href=\"#DejaVuSans-86\"/>\n",
       "      <use x=\"605.123047\" xlink:href=\"#DejaVuSans-41\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"matplotlib.axis_2\">\n",
       "    <g id=\"ytick_1\">\n",
       "     <g id=\"line2d_6\">\n",
       "      <defs>\n",
       "       <path d=\"M 0 0 \n",
       "L -3.5 0 \n",
       "\" id=\"m96de53d44d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
       "      </defs>\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m96de53d44d\" y=\"242.128039\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_7\">\n",
       "      <!-- 0 -->\n",
       "      <g transform=\"translate(40.6375 245.927258)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_2\">\n",
       "     <g id=\"line2d_7\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m96de53d44d\" y=\"200.987883\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_8\">\n",
       "      <!-- 100 -->\n",
       "      <g transform=\"translate(27.9125 204.787102)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 12.40625 8.296875 \n",
       "L 28.515625 8.296875 \n",
       "L 28.515625 63.921875 \n",
       "L 10.984375 60.40625 \n",
       "L 10.984375 69.390625 \n",
       "L 28.421875 72.90625 \n",
       "L 38.28125 72.90625 \n",
       "L 38.28125 8.296875 \n",
       "L 54.390625 8.296875 \n",
       "L 54.390625 0 \n",
       "L 12.40625 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-49\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_3\">\n",
       "     <g id=\"line2d_8\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m96de53d44d\" y=\"159.847726\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_9\">\n",
       "      <!-- 200 -->\n",
       "      <g transform=\"translate(27.9125 163.646945)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_4\">\n",
       "     <g id=\"line2d_9\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m96de53d44d\" y=\"118.70757\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_10\">\n",
       "      <!-- 300 -->\n",
       "      <g transform=\"translate(27.9125 122.506789)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 40.578125 39.3125 \n",
       "Q 47.65625 37.796875 51.625 33 \n",
       "Q 55.609375 28.21875 55.609375 21.1875 \n",
       "Q 55.609375 10.40625 48.1875 4.484375 \n",
       "Q 40.765625 -1.421875 27.09375 -1.421875 \n",
       "Q 22.515625 -1.421875 17.65625 -0.515625 \n",
       "Q 12.796875 0.390625 7.625 2.203125 \n",
       "L 7.625 11.71875 \n",
       "Q 11.71875 9.328125 16.59375 8.109375 \n",
       "Q 21.484375 6.890625 26.8125 6.890625 \n",
       "Q 36.078125 6.890625 40.9375 10.546875 \n",
       "Q 45.796875 14.203125 45.796875 21.1875 \n",
       "Q 45.796875 27.640625 41.28125 31.265625 \n",
       "Q 36.765625 34.90625 28.71875 34.90625 \n",
       "L 20.21875 34.90625 \n",
       "L 20.21875 43.015625 \n",
       "L 29.109375 43.015625 \n",
       "Q 36.375 43.015625 40.234375 45.921875 \n",
       "Q 44.09375 48.828125 44.09375 54.296875 \n",
       "Q 44.09375 59.90625 40.109375 62.90625 \n",
       "Q 36.140625 65.921875 28.71875 65.921875 \n",
       "Q 24.65625 65.921875 20.015625 65.03125 \n",
       "Q 15.375 64.15625 9.8125 62.3125 \n",
       "L 9.8125 71.09375 \n",
       "Q 15.4375 72.65625 20.34375 73.4375 \n",
       "Q 25.25 74.21875 29.59375 74.21875 \n",
       "Q 40.828125 74.21875 47.359375 69.109375 \n",
       "Q 53.90625 64.015625 53.90625 55.328125 \n",
       "Q 53.90625 49.265625 50.4375 45.09375 \n",
       "Q 46.96875 40.921875 40.578125 39.3125 \n",
       "z\n",
       "\" id=\"DejaVuSans-51\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-51\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_5\">\n",
       "     <g id=\"line2d_10\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m96de53d44d\" y=\"77.567413\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_11\">\n",
       "      <!-- 400 -->\n",
       "      <g transform=\"translate(27.9125 81.366632)scale(0.1 -0.1)\">\n",
       "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"ytick_6\">\n",
       "     <g id=\"line2d_11\">\n",
       "      <g>\n",
       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54\" xlink:href=\"#m96de53d44d\" y=\"36.427257\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "     <g id=\"text_12\">\n",
       "      <!-- 500 -->\n",
       "      <g transform=\"translate(27.9125 40.226476)scale(0.1 -0.1)\">\n",
       "       <defs>\n",
       "        <path d=\"M 10.796875 72.90625 \n",
       "L 49.515625 72.90625 \n",
       "L 49.515625 64.59375 \n",
       "L 19.828125 64.59375 \n",
       "L 19.828125 46.734375 \n",
       "Q 21.96875 47.46875 24.109375 47.828125 \n",
       "Q 26.265625 48.1875 28.421875 48.1875 \n",
       "Q 40.625 48.1875 47.75 41.5 \n",
       "Q 54.890625 34.8125 54.890625 23.390625 \n",
       "Q 54.890625 11.625 47.5625 5.09375 \n",
       "Q 40.234375 -1.421875 26.90625 -1.421875 \n",
       "Q 22.3125 -1.421875 17.546875 -0.640625 \n",
       "Q 12.796875 0.140625 7.71875 1.703125 \n",
       "L 7.71875 11.625 \n",
       "Q 12.109375 9.234375 16.796875 8.0625 \n",
       "Q 21.484375 6.890625 26.703125 6.890625 \n",
       "Q 35.15625 6.890625 40.078125 11.328125 \n",
       "Q 45.015625 15.765625 45.015625 23.390625 \n",
       "Q 45.015625 31 40.078125 35.4375 \n",
       "Q 35.15625 39.890625 26.703125 39.890625 \n",
       "Q 22.75 39.890625 18.8125 39.015625 \n",
       "Q 14.890625 38.140625 10.796875 36.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-53\"/>\n",
       "       </defs>\n",
       "       <use xlink:href=\"#DejaVuSans-53\"/>\n",
       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "      </g>\n",
       "     </g>\n",
       "    </g>\n",
       "    <g id=\"text_13\">\n",
       "     <!-- cm$^2$ -->\n",
       "     <g transform=\"translate(21.832812 153.33)rotate(-90)scale(0.1 -0.1)\">\n",
       "      <defs>\n",
       "       <path d=\"M 48.78125 52.59375 \n",
       "L 48.78125 44.1875 \n",
       "Q 44.96875 46.296875 41.140625 47.34375 \n",
       "Q 37.3125 48.390625 33.40625 48.390625 \n",
       "Q 24.65625 48.390625 19.8125 42.84375 \n",
       "Q 14.984375 37.3125 14.984375 27.296875 \n",
       "Q 14.984375 17.28125 19.8125 11.734375 \n",
       "Q 24.65625 6.203125 33.40625 6.203125 \n",
       "Q 37.3125 6.203125 41.140625 7.25 \n",
       "Q 44.96875 8.296875 48.78125 10.40625 \n",
       "L 48.78125 2.09375 \n",
       "Q 45.015625 0.34375 40.984375 -0.53125 \n",
       "Q 36.96875 -1.421875 32.421875 -1.421875 \n",
       "Q 20.0625 -1.421875 12.78125 6.34375 \n",
       "Q 5.515625 14.109375 5.515625 27.296875 \n",
       "Q 5.515625 40.671875 12.859375 48.328125 \n",
       "Q 20.21875 56 33.015625 56 \n",
       "Q 37.15625 56 41.109375 55.140625 \n",
       "Q 45.0625 54.296875 48.78125 52.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-99\"/>\n",
       "       <path d=\"M 52 44.1875 \n",
       "Q 55.375 50.25 60.0625 53.125 \n",
       "Q 64.75 56 71.09375 56 \n",
       "Q 79.640625 56 84.28125 50.015625 \n",
       "Q 88.921875 44.046875 88.921875 33.015625 \n",
       "L 88.921875 0 \n",
       "L 79.890625 0 \n",
       "L 79.890625 32.71875 \n",
       "Q 79.890625 40.578125 77.09375 44.375 \n",
       "Q 74.3125 48.1875 68.609375 48.1875 \n",
       "Q 61.625 48.1875 57.5625 43.546875 \n",
       "Q 53.515625 38.921875 53.515625 30.90625 \n",
       "L 53.515625 0 \n",
       "L 44.484375 0 \n",
       "L 44.484375 32.71875 \n",
       "Q 44.484375 40.625 41.703125 44.40625 \n",
       "Q 38.921875 48.1875 33.109375 48.1875 \n",
       "Q 26.21875 48.1875 22.15625 43.53125 \n",
       "Q 18.109375 38.875 18.109375 30.90625 \n",
       "L 18.109375 0 \n",
       "L 9.078125 0 \n",
       "L 9.078125 54.6875 \n",
       "L 18.109375 54.6875 \n",
       "L 18.109375 46.1875 \n",
       "Q 21.1875 51.21875 25.484375 53.609375 \n",
       "Q 29.78125 56 35.6875 56 \n",
       "Q 41.65625 56 45.828125 52.96875 \n",
       "Q 50 49.953125 52 44.1875 \n",
       "z\n",
       "\" id=\"DejaVuSans-109\"/>\n",
       "      </defs>\n",
       "      <use transform=\"translate(0 0.765625)\" xlink:href=\"#DejaVuSans-99\"/>\n",
       "      <use transform=\"translate(54.980469 0.765625)\" xlink:href=\"#DejaVuSans-109\"/>\n",
       "      <use transform=\"translate(153.349609 39.046875)scale(0.7)\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "     </g>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"line2d_12\">\n",
       "    <path clip-path=\"url(#pcb65dc4f62)\" d=\"M 69.218182 242.116364 \n",
       "L 70.232727 242.019593 \n",
       "L 70.232727 241.938252 \n",
       "L 70.90909 241.828595 \n",
       "L 70.90909 241.699998 \n",
       "L 71.247273 241.699998 \n",
       "L 71.247273 241.553344 \n",
       "L 71.585454 241.553344 \n",
       "L 71.585454 241.335241 \n",
       "L 71.923636 241.335241 \n",
       "L 71.923636 241.050943 \n",
       "L 72.261817 241.050943 \n",
       "L 72.261817 240.690889 \n",
       "L 72.938181 240.654095 \n",
       "L 72.938181 240.118855 \n",
       "L 73.276363 240.118855 \n",
       "L 73.276363 239.421283 \n",
       "L 73.614545 239.421283 \n",
       "L 73.614545 238.617063 \n",
       "L 73.952727 238.617063 \n",
       "L 73.952727 237.79699 \n",
       "L 74.290908 237.79699 \n",
       "L 74.290908 236.849771 \n",
       "L 74.629091 236.849771 \n",
       "L 74.629091 235.82551 \n",
       "L 74.967272 235.82551 \n",
       "L 74.967272 234.680647 \n",
       "L 75.305454 234.680647 \n",
       "L 75.305454 233.387664 \n",
       "L 75.643636 233.387664 \n",
       "L 75.643636 231.995622 \n",
       "L 75.981818 231.995622 \n",
       "L 75.981818 230.363837 \n",
       "L 76.319999 230.363837 \n",
       "L 76.319999 228.482095 \n",
       "L 76.658181 228.482095 \n",
       "L 76.658181 226.80568 \n",
       "L 76.996362 226.80568 \n",
       "L 76.996362 232.028198 \n",
       "L 77.334546 232.028198 \n",
       "L 77.334546 237.400477 \n",
       "L 77.672727 237.400477 \n",
       "L 77.672727 235.463605 \n",
       "L 78.34909 235.485625 \n",
       "L 78.34909 232.206898 \n",
       "L 78.687272 232.206898 \n",
       "L 78.687272 230.535069 \n",
       "L 79.025453 230.535069 \n",
       "L 79.025453 229.194732 \n",
       "L 79.363637 229.194732 \n",
       "L 79.363637 228.217521 \n",
       "L 79.701818 228.217521 \n",
       "L 79.701818 227.163218 \n",
       "L 80.04 227.163218 \n",
       "L 80.04 225.264331 \n",
       "L 80.378181 225.264331 \n",
       "L 80.378181 223.323853 \n",
       "L 80.716363 223.323853 \n",
       "L 80.716363 221.437552 \n",
       "L 81.054544 221.437552 \n",
       "L 81.054544 219.298394 \n",
       "L 81.392728 219.298394 \n",
       "L 81.392728 216.985368 \n",
       "L 81.730909 216.985368 \n",
       "L 81.730909 214.707691 \n",
       "L 82.06909 214.707691 \n",
       "L 82.06909 212.468595 \n",
       "L 82.407272 212.468595 \n",
       "L 82.407272 214.462336 \n",
       "L 82.745453 214.462336 \n",
       "L 82.745453 212.341712 \n",
       "L 83.083635 212.341712 \n",
       "L 83.083635 210.097945 \n",
       "L 83.421818 210.097945 \n",
       "L 83.421818 207.78228 \n",
       "L 83.76 207.78228 \n",
       "L 83.76 205.344184 \n",
       "L 84.098181 205.344184 \n",
       "L 84.098181 202.887285 \n",
       "L 84.436363 202.887285 \n",
       "L 84.436363 200.275253 \n",
       "L 84.774544 200.275253 \n",
       "L 84.774544 197.657427 \n",
       "L 85.112726 197.657427 \n",
       "L 85.112726 194.981166 \n",
       "L 85.450907 194.981166 \n",
       "L 85.450907 192.250094 \n",
       "L 85.789091 192.250094 \n",
       "L 85.789091 189.432876 \n",
       "L 86.127272 189.432876 \n",
       "L 86.127272 186.60036 \n",
       "L 86.465454 186.60036 \n",
       "L 86.465454 183.782018 \n",
       "L 86.803635 183.782018 \n",
       "L 86.803635 180.954021 \n",
       "L 87.141817 180.954021 \n",
       "L 87.141817 178.200558 \n",
       "L 87.479998 178.200558 \n",
       "L 87.479998 175.351676 \n",
       "L 87.818182 175.351676 \n",
       "L 87.818182 172.670535 \n",
       "L 88.156363 172.670535 \n",
       "L 88.156363 169.875608 \n",
       "L 88.494545 169.875608 \n",
       "L 88.494545 167.248774 \n",
       "L 88.832726 167.248774 \n",
       "L 88.832726 164.542473 \n",
       "L 89.170908 164.542473 \n",
       "L 89.170908 161.834878 \n",
       "L 89.509089 161.834878 \n",
       "L 89.509089 159.17525 \n",
       "L 89.847273 159.17525 \n",
       "L 89.847273 156.638743 \n",
       "L 90.185454 156.638743 \n",
       "L 90.185454 154.092549 \n",
       "L 90.523636 154.092549 \n",
       "L 90.523636 151.533405 \n",
       "L 90.861817 151.533405 \n",
       "L 90.861817 149.004913 \n",
       "L 91.199999 149.004913 \n",
       "L 91.199999 146.470371 \n",
       "L 91.53818 146.470371 \n",
       "L 91.53818 143.952218 \n",
       "L 91.876364 143.952218 \n",
       "L 91.876364 141.401944 \n",
       "L 92.214545 141.401944 \n",
       "L 92.214545 138.92221 \n",
       "L 92.552727 138.92221 \n",
       "L 92.552727 136.519746 \n",
       "L 92.890908 136.519746 \n",
       "L 92.890908 134.085335 \n",
       "L 93.22909 134.085335 \n",
       "L 93.22909 131.55837 \n",
       "L 93.567271 131.55837 \n",
       "L 93.567271 129.023632 \n",
       "L 93.905453 129.023632 \n",
       "L 93.905453 126.478989 \n",
       "L 94.243634 126.478989 \n",
       "L 94.243634 124.155652 \n",
       "L 94.581816 124.155652 \n",
       "L 94.581816 121.877577 \n",
       "L 94.919997 121.877577 \n",
       "L 94.919997 119.591164 \n",
       "L 95.258183 119.591164 \n",
       "L 95.258183 117.327589 \n",
       "L 95.596364 117.327589 \n",
       "L 95.596364 115.08252 \n",
       "L 95.934546 115.08252 \n",
       "L 95.934546 113.033209 \n",
       "L 96.272727 113.033209 \n",
       "L 96.272727 110.929258 \n",
       "L 96.610909 110.929258 \n",
       "L 96.610909 108.745759 \n",
       "L 96.94909 108.745759 \n",
       "L 96.94909 106.586365 \n",
       "L 97.287272 106.586365 \n",
       "L 97.287272 104.468227 \n",
       "L 97.625453 104.468227 \n",
       "L 97.625453 102.35319 \n",
       "L 97.963635 102.35319 \n",
       "L 97.963635 100.430182 \n",
       "L 98.301816 100.430182 \n",
       "L 98.301816 98.511869 \n",
       "L 98.639998 98.511869 \n",
       "L 98.639998 96.583964 \n",
       "L 98.978179 96.583964 \n",
       "L 98.978179 94.656862 \n",
       "L 99.316365 94.656862 \n",
       "L 99.316365 92.70057 \n",
       "L 99.654546 92.70057 \n",
       "L 99.654546 90.797072 \n",
       "L 99.992728 90.797072 \n",
       "L 99.992728 88.963053 \n",
       "L 100.330909 88.963053 \n",
       "L 100.330909 87.295928 \n",
       "L 100.669091 87.295928 \n",
       "L 100.669091 85.61636 \n",
       "L 101.007272 85.61636 \n",
       "L 101.007272 83.950679 \n",
       "L 101.345454 83.950679 \n",
       "L 101.345454 82.291626 \n",
       "L 101.683635 82.291626 \n",
       "L 101.683635 80.633289 \n",
       "L 102.021816 80.633289 \n",
       "L 102.021816 78.978957 \n",
       "L 102.359998 78.978957 \n",
       "L 102.359998 77.34691 \n",
       "L 102.698179 77.34691 \n",
       "L 102.698179 75.757902 \n",
       "L 103.036361 75.757902 \n",
       "L 103.036361 74.242302 \n",
       "L 103.374542 74.242302 \n",
       "L 103.374542 72.88413 \n",
       "L 103.712728 72.88413 \n",
       "L 103.712728 71.464162 \n",
       "L 104.050909 71.464162 \n",
       "L 104.050909 70.021306 \n",
       "L 104.389091 70.021306 \n",
       "L 104.389091 68.581011 \n",
       "L 104.727272 68.581011 \n",
       "L 104.727272 67.164659 \n",
       "L 105.065454 67.164659 \n",
       "L 105.065454 65.721954 \n",
       "L 105.403635 65.721954 \n",
       "L 105.403635 64.255344 \n",
       "L 105.741817 64.255344 \n",
       "L 105.741817 62.845143 \n",
       "L 106.079998 62.845143 \n",
       "L 106.079998 61.553324 \n",
       "L 106.41818 61.553324 \n",
       "L 106.41818 60.353595 \n",
       "L 106.756361 60.353595 \n",
       "L 106.756361 59.131205 \n",
       "L 107.094543 59.131205 \n",
       "L 107.094543 57.898871 \n",
       "L 107.432724 57.898871 \n",
       "L 107.432724 56.638363 \n",
       "L 107.77091 56.638363 \n",
       "L 107.77091 55.436312 \n",
       "L 108.109091 55.436312 \n",
       "L 108.109091 54.276709 \n",
       "L 108.447273 54.276709 \n",
       "L 108.447273 53.142994 \n",
       "L 108.785454 53.142994 \n",
       "L 108.785454 52.014979 \n",
       "L 109.123636 52.014979 \n",
       "L 109.123636 50.882671 \n",
       "L 109.461817 50.882671 \n",
       "L 109.461817 49.757406 \n",
       "L 109.799999 49.757406 \n",
       "L 109.799999 48.721645 \n",
       "L 110.13818 48.721645 \n",
       "L 110.13818 47.786111 \n",
       "L 110.476362 47.786111 \n",
       "L 110.476362 46.824324 \n",
       "L 110.814543 46.824324 \n",
       "L 110.814543 45.936637 \n",
       "L 111.152725 45.936637 \n",
       "L 111.152725 44.443636 \n",
       "L 111.490906 44.443636 \n",
       "L 111.490906 64.345275 \n",
       "L 111.829088 64.345275 \n",
       "L 111.829088 85.280364 \n",
       "L 112.167273 85.280364 \n",
       "L 112.167273 77.205152 \n",
       "L 112.505455 77.205152 \n",
       "L 112.505455 70.90313 \n",
       "L 112.843636 70.90313 \n",
       "L 112.843636 74.793491 \n",
       "L 113.181818 74.793491 \n",
       "L 113.181818 71.896279 \n",
       "L 113.519999 71.896279 \n",
       "L 113.519999 66.760778 \n",
       "L 113.858181 66.760778 \n",
       "L 113.858181 68.155021 \n",
       "L 114.196362 68.155021 \n",
       "L 114.196362 68.295059 \n",
       "L 114.534544 68.295059 \n",
       "L 114.534544 67.256574 \n",
       "L 114.872725 67.256574 \n",
       "L 114.872725 64.359173 \n",
       "L 115.210907 64.359173 \n",
       "L 115.210907 63.185383 \n",
       "L 116.225455 63.226928 \n",
       "L 116.225455 62.311845 \n",
       "L 116.563637 62.311845 \n",
       "L 116.563637 60.795141 \n",
       "L 116.901818 60.795141 \n",
       "L 116.901818 59.636969 \n",
       "L 117.24 59.636969 \n",
       "L 117.24 58.693061 \n",
       "L 117.578181 58.693061 \n",
       "L 117.578181 57.941959 \n",
       "L 117.916363 57.941959 \n",
       "L 117.916363 57.515241 \n",
       "L 118.254544 57.515241 \n",
       "L 118.254544 56.89338 \n",
       "L 118.592726 56.89338 \n",
       "L 118.592726 55.724034 \n",
       "L 118.930907 55.724034 \n",
       "L 118.930907 54.896234 \n",
       "L 119.269089 54.896234 \n",
       "L 119.269089 53.999307 \n",
       "L 119.60727 53.999307 \n",
       "L 119.60727 53.658213 \n",
       "L 119.945452 53.658213 \n",
       "L 119.945452 53.218851 \n",
       "L 120.283633 53.218851 \n",
       "L 120.283633 52.688466 \n",
       "L 120.621819 52.688466 \n",
       "L 120.621819 52.257667 \n",
       "L 120.96 52.257667 \n",
       "L 120.96 52.070058 \n",
       "L 121.298182 52.070058 \n",
       "L 121.298182 122.363341 \n",
       "L 121.636363 122.363341 \n",
       "L 121.636363 128.108123 \n",
       "L 121.974544 128.108123 \n",
       "L 121.974544 128.590398 \n",
       "L 122.312726 128.590398 \n",
       "L 122.312726 111.734195 \n",
       "L 122.650907 111.734195 \n",
       "L 122.650907 111.234294 \n",
       "L 123.32727 111.342668 \n",
       "L 123.32727 112.807018 \n",
       "L 123.665452 112.807018 \n",
       "L 123.665452 107.102714 \n",
       "L 124.003633 107.102714 \n",
       "L 124.003633 107.874694 \n",
       "L 124.68 107.773237 \n",
       "L 124.68 106.265748 \n",
       "L 125.018182 106.265748 \n",
       "L 125.018182 105.274357 \n",
       "L 125.694545 105.280296 \n",
       "L 125.694545 103.601117 \n",
       "L 126.032726 103.601117 \n",
       "L 126.032726 101.700005 \n",
       "L 126.370908 101.700005 \n",
       "L 126.370908 101.893703 \n",
       "L 126.709089 101.893703 \n",
       "L 126.709089 102.670454 \n",
       "L 127.047271 102.670454 \n",
       "L 127.047271 104.72991 \n",
       "L 127.385452 104.72991 \n",
       "L 127.385452 107.097415 \n",
       "L 127.723634 107.097415 \n",
       "L 127.723634 109.379396 \n",
       "L 128.061815 109.379396 \n",
       "L 128.061815 113.329544 \n",
       "L 128.399997 113.329544 \n",
       "L 128.399997 124.393808 \n",
       "L 128.738178 124.393808 \n",
       "L 128.738178 137.427245 \n",
       "L 129.07636 137.427245 \n",
       "L 129.07636 155.055453 \n",
       "L 129.414541 155.055453 \n",
       "L 129.414541 161.683296 \n",
       "L 129.752723 161.683296 \n",
       "L 129.752723 159.28537 \n",
       "L 130.090904 159.28537 \n",
       "L 130.090904 158.03055 \n",
       "L 130.429086 158.03055 \n",
       "L 130.429086 157.784742 \n",
       "L 130.767267 157.784742 \n",
       "L 130.767267 161.176508 \n",
       "L 131.105457 161.176508 \n",
       "L 131.105457 164.253463 \n",
       "L 131.443638 164.253463 \n",
       "L 131.443638 166.671734 \n",
       "L 131.78182 166.671734 \n",
       "L 131.78182 170.624412 \n",
       "L 132.120001 170.624412 \n",
       "L 132.120001 168.76544 \n",
       "L 132.458183 168.76544 \n",
       "L 132.458183 165.494021 \n",
       "L 132.796364 165.494021 \n",
       "L 132.796364 164.867257 \n",
       "L 133.134546 164.867257 \n",
       "L 133.134546 162.640192 \n",
       "L 133.472727 162.640192 \n",
       "L 133.472727 160.857574 \n",
       "L 133.810909 160.857574 \n",
       "L 133.810909 157.9977 \n",
       "L 134.14909 157.9977 \n",
       "L 134.14909 156.289783 \n",
       "L 134.487272 156.289783 \n",
       "L 134.487272 154.842113 \n",
       "L 134.825453 154.842113 \n",
       "L 134.825453 154.04678 \n",
       "L 135.163635 154.04678 \n",
       "L 135.163635 154.299624 \n",
       "L 135.501816 154.299624 \n",
       "L 135.501816 153.163273 \n",
       "L 135.839998 153.163273 \n",
       "L 135.839998 150.723608 \n",
       "L 136.178179 150.723608 \n",
       "L 136.178179 148.857631 \n",
       "L 136.516361 148.857631 \n",
       "L 136.516361 147.528718 \n",
       "L 136.854542 147.528718 \n",
       "L 136.854542 147.085766 \n",
       "L 137.192724 147.085766 \n",
       "L 137.192724 146.541947 \n",
       "L 137.530905 146.541947 \n",
       "L 137.530905 146.678953 \n",
       "L 137.869087 146.678953 \n",
       "L 137.869087 145.396135 \n",
       "L 138.207268 145.396135 \n",
       "L 138.207268 143.776869 \n",
       "L 138.54545 143.776869 \n",
       "L 138.54545 142.689997 \n",
       "L 138.883631 142.689997 \n",
       "L 138.883631 141.245616 \n",
       "L 139.221813 141.245616 \n",
       "L 139.221813 140.471915 \n",
       "L 139.560002 140.471915 \n",
       "L 139.560002 140.320578 \n",
       "L 140.236365 140.360383 \n",
       "L 140.236365 139.863288 \n",
       "L 140.574547 139.863288 \n",
       "L 140.574547 138.809686 \n",
       "L 140.912728 138.809686 \n",
       "L 140.912728 137.960047 \n",
       "L 141.25091 137.960047 \n",
       "L 141.25091 137.404508 \n",
       "L 141.589091 137.404508 \n",
       "L 141.589091 136.904688 \n",
       "L 141.927272 136.904688 \n",
       "L 141.927272 136.399331 \n",
       "L 142.265454 136.399331 \n",
       "L 142.265454 136.285872 \n",
       "L 142.603635 136.285872 \n",
       "L 142.603635 136.480813 \n",
       "L 142.941817 136.480813 \n",
       "L 142.941817 136.596658 \n",
       "L 144.294543 136.623551 \n",
       "L 144.294543 137.072058 \n",
       "L 144.632724 137.072058 \n",
       "L 144.632724 138.738914 \n",
       "L 144.970906 138.738914 \n",
       "L 144.970906 145.089084 \n",
       "L 145.309087 145.089084 \n",
       "L 145.309087 145.668666 \n",
       "L 145.647269 145.668666 \n",
       "L 145.647269 141.464669 \n",
       "L 145.98545 141.464669 \n",
       "L 145.98545 139.92416 \n",
       "L 146.323632 139.92416 \n",
       "L 146.323632 139.021865 \n",
       "L 146.661813 139.021865 \n",
       "L 146.661813 137.736662 \n",
       "L 146.999995 137.736662 \n",
       "L 146.999995 137.219372 \n",
       "L 147.338176 137.219372 \n",
       "L 147.338176 136.020736 \n",
       "L 147.676358 136.020736 \n",
       "L 147.676358 135.137706 \n",
       "L 148.014547 135.137706 \n",
       "L 148.014547 134.289442 \n",
       "L 148.352729 134.289442 \n",
       "L 148.352729 133.87332 \n",
       "L 148.69091 133.87332 \n",
       "L 148.69091 133.528811 \n",
       "L 149.029092 133.528811 \n",
       "L 149.029092 133.070642 \n",
       "L 149.367273 133.070642 \n",
       "L 149.367273 132.61172 \n",
       "L 149.705455 132.61172 \n",
       "L 149.705455 132.018623 \n",
       "L 150.043636 132.018623 \n",
       "L 150.043636 131.309367 \n",
       "L 150.381818 131.309367 \n",
       "L 150.381818 130.974651 \n",
       "L 150.719999 130.974651 \n",
       "L 150.719999 130.644555 \n",
       "L 151.058181 130.644555 \n",
       "L 151.058181 130.191735 \n",
       "L 151.396362 130.191735 \n",
       "L 151.396362 129.721526 \n",
       "L 151.734544 129.721526 \n",
       "L 151.734544 129.327036 \n",
       "L 152.072725 129.327036 \n",
       "L 152.072725 128.875207 \n",
       "L 152.410907 128.875207 \n",
       "L 152.410907 128.389505 \n",
       "L 152.749088 128.389505 \n",
       "L 152.749088 128.044808 \n",
       "L 153.08727 128.044808 \n",
       "L 153.08727 127.814136 \n",
       "L 153.425451 127.814136 \n",
       "L 153.425451 127.65991 \n",
       "L 153.763633 127.65991 \n",
       "L 153.763633 127.537311 \n",
       "L 154.101814 127.537311 \n",
       "L 154.101814 127.371912 \n",
       "L 154.439996 127.371912 \n",
       "L 154.439996 127.099921 \n",
       "L 154.778177 127.099921 \n",
       "L 154.778177 126.712336 \n",
       "L 155.116359 126.712336 \n",
       "L 155.116359 126.32838 \n",
       "L 155.45454 126.32838 \n",
       "L 155.45454 126.039201 \n",
       "L 155.792722 126.039201 \n",
       "L 155.792722 125.903871 \n",
       "L 156.469093 125.997794 \n",
       "L 156.469093 126.348141 \n",
       "L 156.807274 126.348141 \n",
       "L 156.807274 127.119155 \n",
       "L 157.145456 127.119155 \n",
       "L 157.145456 129.092132 \n",
       "L 157.483637 129.092132 \n",
       "L 157.483637 128.609983 \n",
       "L 157.821819 128.609983 \n",
       "L 157.821819 127.457939 \n",
       "L 158.16 127.457939 \n",
       "L 158.16 126.847365 \n",
       "L 158.498182 126.847365 \n",
       "L 158.498182 126.411468 \n",
       "L 158.836363 126.411468 \n",
       "L 158.836363 126.048491 \n",
       "L 159.174545 126.048491 \n",
       "L 159.174545 125.811315 \n",
       "L 159.512726 125.811315 \n",
       "L 159.512726 125.469619 \n",
       "L 159.850908 125.469619 \n",
       "L 159.850908 125.022586 \n",
       "L 160.189089 125.022586 \n",
       "L 160.189089 124.586138 \n",
       "L 160.527271 124.586138 \n",
       "L 160.527271 124.281981 \n",
       "L 160.865452 124.281981 \n",
       "L 160.865452 124.002557 \n",
       "L 161.203633 124.002557 \n",
       "L 161.203633 123.706599 \n",
       "L 161.541815 123.706599 \n",
       "L 161.541815 123.491356 \n",
       "L 161.879996 123.491356 \n",
       "L 161.879996 123.279993 \n",
       "L 162.218178 123.279993 \n",
       "L 162.218178 123.052497 \n",
       "L 162.556359 123.052497 \n",
       "L 162.556359 122.885541 \n",
       "L 162.894541 122.885541 \n",
       "L 162.894541 122.748126 \n",
       "L 163.232722 122.748126 \n",
       "L 163.232722 122.596437 \n",
       "L 163.570904 122.596437 \n",
       "L 163.570904 122.414227 \n",
       "L 163.909085 122.414227 \n",
       "L 163.909085 122.222525 \n",
       "L 164.247267 122.222525 \n",
       "L 164.247267 122.025072 \n",
       "L 164.585448 122.025072 \n",
       "L 164.585448 121.898029 \n",
       "L 165.600001 121.976271 \n",
       "L 165.600001 122.229945 \n",
       "L 165.938182 122.229945 \n",
       "L 165.938182 122.764912 \n",
       "L 166.276364 122.764912 \n",
       "L 166.276364 123.628783 \n",
       "L 166.614545 123.628783 \n",
       "L 166.614545 124.302935 \n",
       "L 166.952727 124.302935 \n",
       "L 166.952727 123.707867 \n",
       "L 167.290908 123.707867 \n",
       "L 167.290908 123.222253 \n",
       "L 167.62909 123.222253 \n",
       "L 167.62909 122.929295 \n",
       "L 167.967271 122.929295 \n",
       "L 167.967271 122.357528 \n",
       "L 168.305453 122.357528 \n",
       "L 168.305453 122.066692 \n",
       "L 168.643634 122.066692 \n",
       "L 168.643634 121.91494 \n",
       "L 168.981816 121.91494 \n",
       "L 168.981816 121.656119 \n",
       "L 169.319997 121.656119 \n",
       "L 169.319997 121.376608 \n",
       "L 169.658179 121.376608 \n",
       "L 169.658179 121.09672 \n",
       "L 169.99636 121.09672 \n",
       "L 169.99636 120.887893 \n",
       "L 170.334542 120.887893 \n",
       "L 170.334542 120.67894 \n",
       "L 170.672723 120.67894 \n",
       "L 170.672723 120.540019 \n",
       "L 171.349086 120.471331 \n",
       "L 171.349086 120.402718 \n",
       "L 171.687268 120.402718 \n",
       "L 171.687268 120.173351 \n",
       "L 172.025449 120.173351 \n",
       "L 172.025449 119.943984 \n",
       "L 172.363631 119.943984 \n",
       "L 172.363631 119.705389 \n",
       "L 172.701812 119.705389 \n",
       "L 172.701812 119.457843 \n",
       "L 173.039994 119.457843 \n",
       "L 173.039994 119.210171 \n",
       "L 173.716365 119.146454 \n",
       "L 173.716365 119.085324 \n",
       "L 174.392728 118.983227 \n",
       "L 174.392728 118.84015 \n",
       "L 174.730909 118.84015 \n",
       "L 174.730909 118.697049 \n",
       "L 176.421817 118.595856 \n",
       "L 176.421817 118.514462 \n",
       "L 177.09818 118.427418 \n",
       "L 177.09818 118.340512 \n",
       "L 177.774543 118.262031 \n",
       "L 177.774543 118.191899 \n",
       "L 178.789087 118.088572 \n",
       "L 178.789087 118.055439 \n",
       "L 180.141813 117.945935 \n",
       "L 180.141813 117.942507 \n",
       "L 181.494539 117.8724 \n",
       "L 181.494539 117.829198 \n",
       "L 184.53818 117.93854 \n",
       "L 184.53818 117.961892 \n",
       "L 185.552725 118.067027 \n",
       "L 185.552725 118.148798 \n",
       "L 186.229088 118.219445 \n",
       "L 186.229088 118.279131 \n",
       "L 186.905451 118.338843 \n",
       "L 186.905451 118.398692 \n",
       "L 187.581814 118.45863 \n",
       "L 187.581814 118.544656 \n",
       "L 187.919995 118.544656 \n",
       "L 187.919995 118.656823 \n",
       "L 188.258177 118.656823 \n",
       "L 188.258177 118.769052 \n",
       "L 188.93454 118.83553 \n",
       "L 188.93454 118.90236 \n",
       "L 189.610903 118.996749 \n",
       "L 189.610903 119.118858 \n",
       "L 189.949084 119.118858 \n",
       "L 189.949084 119.240993 \n",
       "L 190.625455 119.343542 \n",
       "L 190.625455 119.446154 \n",
       "L 190.963637 119.446154 \n",
       "L 190.963637 119.559902 \n",
       "L 191.301818 119.559902 \n",
       "L 191.301818 119.684686 \n",
       "L 191.64 119.684686 \n",
       "L 191.64 119.809633 \n",
       "L 192.654544 119.897882 \n",
       "L 192.654544 119.934907 \n",
       "L 193.669089 119.994656 \n",
       "L 193.669089 120.059364 \n",
       "L 194.345452 120.124173 \n",
       "L 194.345452 120.205002 \n",
       "L 195.021815 120.277859 \n",
       "L 195.021815 120.350866 \n",
       "L 195.360004 120.350866 \n",
       "L 195.360004 120.573855 \n",
       "L 195.698178 120.573855 \n",
       "L 195.698178 120.796806 \n",
       "L 196.036367 120.796806 \n",
       "L 196.036367 120.998063 \n",
       "L 196.374541 120.998063 \n",
       "L 196.374541 121.177724 \n",
       "L 196.71273 121.177724 \n",
       "L 196.71273 121.357286 \n",
       "L 197.050904 121.357286 \n",
       "L 197.050904 121.562434 \n",
       "L 197.389093 121.562434 \n",
       "L 197.389093 121.767495 \n",
       "L 197.727267 121.767495 \n",
       "L 197.727267 121.961205 \n",
       "L 198.065456 121.961205 \n",
       "L 198.065456 122.143416 \n",
       "L 198.40363 122.143416 \n",
       "L 198.40363 122.325601 \n",
       "L 198.741819 122.325601 \n",
       "L 198.741819 122.54451 \n",
       "L 199.079993 122.54451 \n",
       "L 199.079993 122.763255 \n",
       "L 199.418182 122.763255 \n",
       "L 199.418182 122.973802 \n",
       "L 199.756355 122.973802 \n",
       "L 199.756355 123.176013 \n",
       "L 200.094545 123.176013 \n",
       "L 200.094545 123.378261 \n",
       "L 200.432718 123.378261 \n",
       "L 200.432718 123.584677 \n",
       "L 200.770908 123.584677 \n",
       "L 200.770908 123.790968 \n",
       "L 201.109081 123.790968 \n",
       "L 201.109081 124.010278 \n",
       "L 201.447271 124.010278 \n",
       "L 201.447271 124.242445 \n",
       "L 201.785444 124.242445 \n",
       "L 201.785444 124.474536 \n",
       "L 202.123634 124.474536 \n",
       "L 202.123634 124.723138 \n",
       "L 202.461807 124.723138 \n",
       "L 202.461807 124.971563 \n",
       "L 202.799997 124.971563 \n",
       "L 202.799997 125.214401 \n",
       "L 203.138186 125.214401 \n",
       "L 203.138186 125.451577 \n",
       "L 203.47636 125.451577 \n",
       "L 203.47636 125.688603 \n",
       "L 203.814549 125.688603 \n",
       "L 203.814549 125.951517 \n",
       "L 204.152723 125.951517 \n",
       "L 204.152723 126.21423 \n",
       "L 204.490912 126.21423 \n",
       "L 204.490912 126.483007 \n",
       "L 204.829086 126.483007 \n",
       "L 204.829086 126.757911 \n",
       "L 205.167275 126.757911 \n",
       "L 205.167275 127.057171 \n",
       "L 205.505449 127.057171 \n",
       "L 205.505449 127.326676 \n",
       "L 205.843638 127.326676 \n",
       "L 205.843638 127.59588 \n",
       "L 206.181812 127.59588 \n",
       "L 206.181812 127.89784 \n",
       "L 206.520001 127.89784 \n",
       "L 206.520001 128.232392 \n",
       "L 206.858175 128.232392 \n",
       "L 206.858175 128.566556 \n",
       "L 207.196364 128.566556 \n",
       "L 207.196364 128.845151 \n",
       "L 207.534538 128.845151 \n",
       "L 207.534538 129.123444 \n",
       "L 207.872727 129.123444 \n",
       "L 207.872727 129.431945 \n",
       "L 208.210901 129.431945 \n",
       "L 208.210901 129.77044 \n",
       "L 208.54909 129.77044 \n",
       "L 208.54909 130.108533 \n",
       "L 208.887264 130.108533 \n",
       "L 208.887264 130.413381 \n",
       "L 209.225453 130.413381 \n",
       "L 209.225453 130.717939 \n",
       "L 209.563627 130.717939 \n",
       "L 209.563627 131.043854 \n",
       "L 209.901816 131.043854 \n",
       "L 209.901816 131.391112 \n",
       "L 210.23999 131.391112 \n",
       "L 210.23999 131.737906 \n",
       "L 210.578179 131.737906 \n",
       "L 210.578179 132.044373 \n",
       "L 210.916353 132.044373 \n",
       "L 210.916353 132.350413 \n",
       "L 211.254542 132.350413 \n",
       "L 211.254542 132.674344 \n",
       "L 211.592732 132.674344 \n",
       "L 211.592732 133.016153 \n",
       "L 211.930905 133.016153 \n",
       "L 211.930905 133.357385 \n",
       "L 212.269095 133.357385 \n",
       "L 212.269095 133.692314 \n",
       "L 212.607268 133.692314 \n",
       "L 212.607268 134.026792 \n",
       "L 212.945458 134.026792 \n",
       "L 212.945458 134.388212 \n",
       "L 213.283631 134.388212 \n",
       "L 213.283631 134.776412 \n",
       "L 213.621821 134.776412 \n",
       "L 213.621821 135.163934 \n",
       "L 213.959994 135.163934 \n",
       "L 213.959994 135.526409 \n",
       "L 214.298184 135.526409 \n",
       "L 214.298184 135.888306 \n",
       "L 214.636357 135.888306 \n",
       "L 214.636357 136.259632 \n",
       "L 214.974547 136.259632 \n",
       "L 214.974547 136.640299 \n",
       "L 215.31272 136.640299 \n",
       "L 215.31272 137.032039 \n",
       "L 215.65091 137.032039 \n",
       "L 215.65091 137.397207 \n",
       "L 215.989083 137.397207 \n",
       "L 215.989083 137.761603 \n",
       "L 216.327273 137.761603 \n",
       "L 216.327273 138.156677 \n",
       "L 216.665446 138.156677 \n",
       "L 216.665446 138.582247 \n",
       "L 217.003636 138.582247 \n",
       "L 217.003636 139.006894 \n",
       "L 217.341809 139.006894 \n",
       "L 217.341809 139.370178 \n",
       "L 217.679999 139.370178 \n",
       "L 217.679999 139.732804 \n",
       "L 218.018172 139.732804 \n",
       "L 218.018172 140.11536 \n",
       "L 218.356362 140.11536 \n",
       "L 218.356362 140.517785 \n",
       "L 218.694535 140.517785 \n",
       "L 218.694535 140.9193 \n",
       "L 219.032725 140.9193 \n",
       "L 219.032725 141.305359 \n",
       "L 219.370898 141.305359 \n",
       "L 219.370898 141.690621 \n",
       "L 219.709088 141.690621 \n",
       "L 219.709088 142.084973 \n",
       "L 220.047277 142.084973 \n",
       "L 220.047277 142.488352 \n",
       "L 220.38545 142.488352 \n",
       "L 220.38545 142.890921 \n",
       "L 220.72364 142.890921 \n",
       "L 220.72364 143.278386 \n",
       "L 221.061813 143.278386 \n",
       "L 221.061813 143.665023 \n",
       "L 221.400003 143.665023 \n",
       "L 221.400003 144.06962 \n",
       "L 221.738176 144.06962 \n",
       "L 221.738176 144.492007 \n",
       "L 222.076366 144.492007 \n",
       "L 222.076366 144.913472 \n",
       "L 222.414539 144.913472 \n",
       "L 222.414539 145.281376 \n",
       "L 222.752729 145.281376 \n",
       "L 222.752729 145.648584 \n",
       "L 223.090902 145.648584 \n",
       "L 223.090902 146.045906 \n",
       "L 223.429092 146.045906 \n",
       "L 223.429092 146.47307 \n",
       "L 223.767265 146.47307 \n",
       "L 223.767265 146.899312 \n",
       "L 224.105455 146.899312 \n",
       "L 224.105455 147.285151 \n",
       "L 224.443628 147.285151 \n",
       "L 224.443628 147.670206 \n",
       "L 224.781818 147.670206 \n",
       "L 224.781818 148.07496 \n",
       "L 225.119991 148.07496 \n",
       "L 225.119991 148.513555 \n",
       "L 225.458181 148.513555 \n",
       "L 225.458181 148.961862 \n",
       "L 225.796354 148.961862 \n",
       "L 225.796354 149.388035 \n",
       "L 226.134544 149.388035 \n",
       "L 226.134544 149.813146 \n",
       "L 226.472717 149.813146 \n",
       "L 226.472717 150.239802 \n",
       "L 226.810907 150.239802 \n",
       "L 226.810907 150.668021 \n",
       "L 227.14908 150.668021 \n",
       "L 227.14908 151.095098 \n",
       "L 227.48727 151.095098 \n",
       "L 227.48727 151.534083 \n",
       "L 227.825443 151.534083 \n",
       "L 227.825443 151.97185 \n",
       "L 228.163633 151.97185 \n",
       "L 228.163633 152.412925 \n",
       "L 228.501822 152.412925 \n",
       "L 228.501822 152.857321 \n",
       "L 228.839996 152.857321 \n",
       "L 228.839996 153.300411 \n",
       "L 229.178185 153.300411 \n",
       "L 229.178185 153.730244 \n",
       "L 229.516359 153.730244 \n",
       "L 229.516359 154.158958 \n",
       "L 229.854548 154.158958 \n",
       "L 229.854548 154.59456 \n",
       "L 230.192722 154.59456 \n",
       "L 230.192722 155.037204 \n",
       "L 230.530911 155.037204 \n",
       "L 230.530911 155.478531 \n",
       "L 230.869085 155.478531 \n",
       "L 230.869085 155.929719 \n",
       "L 231.207274 155.929719 \n",
       "L 231.207274 156.37962 \n",
       "L 231.545448 156.37962 \n",
       "L 231.545448 156.805655 \n",
       "L 231.883637 156.805655 \n",
       "L 231.883637 157.207973 \n",
       "L 232.221811 157.207973 \n",
       "L 232.221811 157.609236 \n",
       "L 232.56 157.609236 \n",
       "L 232.56 158.015076 \n",
       "L 232.898174 158.015076 \n",
       "L 232.898174 158.419886 \n",
       "L 233.236363 158.419886 \n",
       "L 233.236363 158.837283 \n",
       "L 233.574537 158.837283 \n",
       "L 233.574537 159.267197 \n",
       "L 233.912726 159.267197 \n",
       "L 233.912726 159.695937 \n",
       "L 234.2509 159.695937 \n",
       "L 234.2509 160.101801 \n",
       "L 234.589089 160.101801 \n",
       "L 234.589089 160.512211 \n",
       "L 234.927263 160.512211 \n",
       "L 234.927263 160.935885 \n",
       "L 235.265452 160.935885 \n",
       "L 235.265452 161.358109 \n",
       "L 235.603626 161.358109 \n",
       "L 235.603626 161.779059 \n",
       "L 235.941815 161.779059 \n",
       "L 235.941815 162.217472 \n",
       "L 236.279989 162.217472 \n",
       "L 236.279989 162.65458 \n",
       "L 236.618178 162.65458 \n",
       "L 236.618178 163.087903 \n",
       "L 236.956368 163.087903 \n",
       "L 236.956368 163.517484 \n",
       "L 237.294541 163.517484 \n",
       "L 237.294541 163.945747 \n",
       "L 237.632731 163.945747 \n",
       "L 237.632731 164.378279 \n",
       "L 237.970904 164.378279 \n",
       "L 237.970904 164.809504 \n",
       "L 238.309094 164.809504 \n",
       "L 238.309094 165.234396 \n",
       "L 238.647267 165.234396 \n",
       "L 238.647267 165.652979 \n",
       "L 238.985457 165.652979 \n",
       "L 238.985457 166.070319 \n",
       "L 239.32363 166.070319 \n",
       "L 239.32363 166.4983 \n",
       "L 239.66182 166.4983 \n",
       "L 239.66182 166.924993 \n",
       "L 239.999993 166.924993 \n",
       "L 239.999993 167.348812 \n",
       "L 240.338183 167.348812 \n",
       "L 240.338183 167.76973 \n",
       "L 240.676356 167.76973 \n",
       "L 240.676356 168.18943 \n",
       "L 241.014546 168.18943 \n",
       "L 241.014546 168.633494 \n",
       "L 241.352719 168.633494 \n",
       "L 241.352719 169.076145 \n",
       "L 241.690908 169.076145 \n",
       "L 241.690908 169.505431 \n",
       "L 242.029082 169.505431 \n",
       "L 242.029082 169.921434 \n",
       "L 242.367271 169.921434 \n",
       "L 242.367271 170.336175 \n",
       "L 242.705445 170.336175 \n",
       "L 242.705445 170.737024 \n",
       "L 243.043634 170.737024 \n",
       "L 243.043634 171.136724 \n",
       "L 243.381808 171.136724 \n",
       "L 243.381808 171.541466 \n",
       "L 243.719997 171.541466 \n",
       "L 243.719997 171.966841 \n",
       "L 244.058171 171.966841 \n",
       "L 244.058171 172.391657 \n",
       "L 244.39636 172.391657 \n",
       "L 244.39636 172.792488 \n",
       "L 244.734534 172.792488 \n",
       "L 244.734534 173.191962 \n",
       "L 245.072723 173.191962 \n",
       "L 245.072723 173.610294 \n",
       "L 245.410913 173.610294 \n",
       "L 245.410913 174.047282 \n",
       "L 245.749086 174.047282 \n",
       "L 245.749086 174.482758 \n",
       "L 246.087276 174.482758 \n",
       "L 246.087276 174.867455 \n",
       "L 246.425449 174.867455 \n",
       "L 246.425449 175.250866 \n",
       "L 246.763639 175.250866 \n",
       "L 246.763639 175.648658 \n",
       "L 247.101812 175.648658 \n",
       "L 247.101812 176.06075 \n",
       "L 247.440002 176.06075 \n",
       "L 247.440002 176.471379 \n",
       "L 247.778175 176.471379 \n",
       "L 247.778175 176.867909 \n",
       "L 248.116365 176.867909 \n",
       "L 248.116365 177.263096 \n",
       "L 248.454538 177.263096 \n",
       "L 248.454538 177.663525 \n",
       "L 248.792728 177.663525 \n",
       "L 248.792728 178.069101 \n",
       "L 249.130901 178.069101 \n",
       "L 249.130901 178.473176 \n",
       "L 249.469091 178.473176 \n",
       "L 249.469091 178.867836 \n",
       "L 249.807264 178.867836 \n",
       "L 249.807264 179.261077 \n",
       "L 250.145454 179.261077 \n",
       "L 250.145454 179.646245 \n",
       "L 250.483627 179.646245 \n",
       "L 250.483627 180.023428 \n",
       "L 250.821817 180.023428 \n",
       "L 250.821817 180.399248 \n",
       "L 251.15999 180.399248 \n",
       "L 251.15999 180.780637 \n",
       "L 251.49818 180.780637 \n",
       "L 251.49818 181.160632 \n",
       "L 251.836353 181.160632 \n",
       "L 251.836353 181.534281 \n",
       "L 252.174543 181.534281 \n",
       "L 252.174543 181.902889 \n",
       "L 252.512716 181.902889 \n",
       "L 252.512716 182.280518 \n",
       "L 252.850906 182.280518 \n",
       "L 252.850906 182.667349 \n",
       "L 253.189079 182.667349 \n",
       "L 253.189079 183.052655 \n",
       "L 253.527269 183.052655 \n",
       "L 253.527269 183.429568 \n",
       "L 253.865458 183.429568 \n",
       "L 253.865458 183.798208 \n",
       "L 254.203632 183.798208 \n",
       "L 254.203632 184.165409 \n",
       "L 254.541821 184.165409 \n",
       "L 254.541821 184.553026 \n",
       "L 254.879995 184.553026 \n",
       "L 254.879995 184.939116 \n",
       "L 255.218184 184.939116 \n",
       "L 255.218184 185.322771 \n",
       "L 255.556358 185.322771 \n",
       "L 255.556358 185.703972 \n",
       "L 255.894547 185.703972 \n",
       "L 255.894547 186.083591 \n",
       "L 256.232721 186.083591 \n",
       "L 256.232721 186.469499 \n",
       "L 256.57091 186.469499 \n",
       "L 256.57091 186.853757 \n",
       "L 256.909084 186.853757 \n",
       "L 256.909084 187.232095 \n",
       "L 257.247273 187.232095 \n",
       "L 257.247273 187.604526 \n",
       "L 257.585447 187.604526 \n",
       "L 257.585447 187.975394 \n",
       "L 257.923636 187.975394 \n",
       "L 257.923636 188.347203 \n",
       "L 258.26181 188.347203 \n",
       "L 258.26181 188.717393 \n",
       "L 258.599999 188.717393 \n",
       "L 258.599999 189.058556 \n",
       "L 258.938172 189.058556 \n",
       "L 258.938172 189.370955 \n",
       "L 259.276362 189.370955 \n",
       "L 259.276362 189.682218 \n",
       "L 259.614535 189.682218 \n",
       "L 259.614535 190.081196 \n",
       "L 259.952725 190.081196 \n",
       "L 259.952725 190.478345 \n",
       "L 260.290898 190.478345 \n",
       "L 260.290898 190.859122 \n",
       "L 260.629088 190.859122 \n",
       "L 260.629088 191.223772 \n",
       "L 260.967261 191.223772 \n",
       "L 260.967261 191.586768 \n",
       "L 261.305451 191.586768 \n",
       "L 261.305451 191.959415 \n",
       "L 261.643624 191.959415 \n",
       "L 261.643624 192.330816 \n",
       "L 261.981814 192.330816 \n",
       "L 261.981814 192.693511 \n",
       "L 262.320004 192.693511 \n",
       "L 262.320004 193.047539 \n",
       "L 262.658177 193.047539 \n",
       "L 262.658177 193.399964 \n",
       "L 262.996366 193.399964 \n",
       "L 262.996366 193.752724 \n",
       "L 263.33454 193.752724 \n",
       "L 263.33454 194.10389 \n",
       "L 263.672729 194.10389 \n",
       "L 263.672729 194.456961 \n",
       "L 264.010903 194.456961 \n",
       "L 264.010903 194.811941 \n",
       "L 264.349092 194.811941 \n",
       "L 264.349092 195.165257 \n",
       "L 264.687266 195.165257 \n",
       "L 264.687266 195.510456 \n",
       "L 265.025455 195.510456 \n",
       "L 265.025455 195.854061 \n",
       "L 265.363629 195.854061 \n",
       "L 265.363629 196.19425 \n",
       "L 265.701818 196.19425 \n",
       "L 265.701818 196.531097 \n",
       "L 266.039992 196.531097 \n",
       "L 266.039992 196.866384 \n",
       "L 266.378181 196.866384 \n",
       "L 266.378181 197.215893 \n",
       "L 266.716355 197.215893 \n",
       "L 266.716355 197.563672 \n",
       "L 267.054544 197.563672 \n",
       "L 267.054544 197.896558 \n",
       "L 267.392718 197.896558 \n",
       "L 267.392718 198.214673 \n",
       "L 267.730907 198.214673 \n",
       "L 267.730907 198.531391 \n",
       "L 268.069081 198.531391 \n",
       "L 268.069081 198.881371 \n",
       "L 268.40727 198.881371 \n",
       "L 268.40727 199.229611 \n",
       "L 268.745444 199.229611 \n",
       "L 268.745444 199.551719 \n",
       "L 269.083633 199.551719 \n",
       "L 269.083633 199.848016 \n",
       "L 269.421807 199.848016 \n",
       "L 269.421807 200.143005 \n",
       "L 269.759996 200.143005 \n",
       "L 269.759996 200.467391 \n",
       "L 270.09817 200.467391 \n",
       "L 270.09817 200.79334 \n",
       "L 270.436359 200.79334 \n",
       "L 270.436359 201.116025 \n",
       "L 270.774549 201.116025 \n",
       "L 270.774549 201.43322 \n",
       "L 271.112722 201.43322 \n",
       "L 271.112722 201.748887 \n",
       "L 271.450912 201.748887 \n",
       "L 271.450912 202.055455 \n",
       "L 271.789085 202.055455 \n",
       "L 271.789085 202.360572 \n",
       "L 272.127275 202.360572 \n",
       "L 272.127275 202.657673 \n",
       "L 272.465448 202.657673 \n",
       "L 272.465448 202.946921 \n",
       "L 272.803638 202.946921 \n",
       "L 272.803638 203.234791 \n",
       "L 273.141811 203.234791 \n",
       "L 273.141811 203.528141 \n",
       "L 273.480001 203.528141 \n",
       "L 273.480001 203.820092 \n",
       "L 273.818174 203.820092 \n",
       "L 273.818174 204.120517 \n",
       "L 274.156364 204.120517 \n",
       "L 274.156364 204.429291 \n",
       "L 274.494537 204.429291 \n",
       "L 274.494537 204.736536 \n",
       "L 274.832727 204.736536 \n",
       "L 274.832727 205.031449 \n",
       "L 275.1709 205.031449 \n",
       "L 275.1709 205.324922 \n",
       "L 275.50909 205.324922 \n",
       "L 275.50909 205.605846 \n",
       "L 275.847263 205.605846 \n",
       "L 275.847263 205.874378 \n",
       "L 276.185453 205.874378 \n",
       "L 276.185453 206.141674 \n",
       "L 276.523626 206.141674 \n",
       "L 276.523626 206.435206 \n",
       "L 276.861816 206.435206 \n",
       "L 276.861816 206.727294 \n",
       "L 277.199989 206.727294 \n",
       "L 277.199989 207.018046 \n",
       "L 277.538179 207.018046 \n",
       "L 277.538179 207.307507 \n",
       "L 277.876352 207.307507 \n",
       "L 277.876352 207.595534 \n",
       "L 278.214542 207.595534 \n",
       "L 278.214542 207.892459 \n",
       "L 278.552715 207.892459 \n",
       "L 278.552715 208.187897 \n",
       "L 278.890905 208.187897 \n",
       "L 278.890905 208.467597 \n",
       "L 279.229094 208.467597 \n",
       "L 279.229094 208.732246 \n",
       "L 279.567267 208.732246 \n",
       "L 279.567267 208.995832 \n",
       "L 279.905457 208.995832 \n",
       "L 279.905457 209.283962 \n",
       "L 280.24363 209.283962 \n",
       "L 280.24363 209.570693 \n",
       "L 280.58182 209.570693 \n",
       "L 280.58182 209.84635 \n",
       "L 280.919993 209.84635 \n",
       "L 280.919993 210.111034 \n",
       "L 281.258183 210.111034 \n",
       "L 281.258183 210.375774 \n",
       "L 281.596356 210.375774 \n",
       "L 281.596356 210.652907 \n",
       "L 281.934546 210.652907 \n",
       "L 281.934546 210.928655 \n",
       "L 282.272719 210.928655 \n",
       "L 282.272719 211.196321 \n",
       "L 282.610909 211.196321 \n",
       "L 282.610909 211.455974 \n",
       "L 282.949082 211.455974 \n",
       "L 282.949082 211.71443 \n",
       "L 283.287272 211.71443 \n",
       "L 283.287272 211.981042 \n",
       "L 283.625445 211.981042 \n",
       "L 283.625445 212.247782 \n",
       "L 283.963635 212.247782 \n",
       "L 283.963635 212.50708 \n",
       "L 284.301808 212.50708 \n",
       "L 284.301808 212.758995 \n",
       "L 284.639998 212.758995 \n",
       "L 284.639998 213.009712 \n",
       "L 284.978171 213.009712 \n",
       "L 284.978171 213.276775 \n",
       "L 285.316361 213.276775 \n",
       "L 285.316361 213.542536 \n",
       "L 285.654534 213.542536 \n",
       "L 285.654534 213.797386 \n",
       "L 285.992724 213.797386 \n",
       "L 285.992724 214.041345 \n",
       "L 286.330897 214.041345 \n",
       "L 286.330897 214.284168 \n",
       "L 286.669087 214.284168 \n",
       "L 286.669087 214.536994 \n",
       "L 287.00726 214.536994 \n",
       "L 287.00726 214.788608 \n",
       "L 287.34545 214.788608 \n",
       "L 287.34545 215.033217 \n",
       "L 287.683639 215.033217 \n",
       "L 287.683639 215.268167 \n",
       "L 288.021813 215.268167 \n",
       "L 288.021813 215.501995 \n",
       "L 288.360002 215.501995 \n",
       "L 288.360002 215.755392 \n",
       "L 288.698176 215.755392 \n",
       "L 288.698176 216.007533 \n",
       "L 289.036365 216.007533 \n",
       "L 289.036365 216.251965 \n",
       "L 289.374539 216.251965 \n",
       "L 289.374539 216.48657 \n",
       "L 289.712728 216.48657 \n",
       "L 289.712728 216.719258 \n",
       "L 290.050902 216.719258 \n",
       "L 290.050902 216.951437 \n",
       "L 290.389091 216.951437 \n",
       "L 290.389091 217.182468 \n",
       "L 290.727265 217.182468 \n",
       "L 290.727265 217.41328 \n",
       "L 291.065454 217.41328 \n",
       "L 291.065454 217.643824 \n",
       "L 291.403628 217.643824 \n",
       "L 291.403628 217.873242 \n",
       "L 291.741817 217.873242 \n",
       "L 291.741817 218.1102 \n",
       "L 292.079991 218.1102 \n",
       "L 292.079991 218.345966 \n",
       "L 292.41818 218.345966 \n",
       "L 292.41818 218.568234 \n",
       "L 292.756354 218.568234 \n",
       "L 292.756354 218.778212 \n",
       "L 293.094543 218.778212 \n",
       "L 293.094543 218.987954 \n",
       "L 293.432717 218.987954 \n",
       "L 293.432717 219.199635 \n",
       "L 293.770906 219.199635 \n",
       "L 293.770906 219.410383 \n",
       "L 294.10908 219.410383 \n",
       "L 294.10908 219.619143 \n",
       "L 294.447269 219.619143 \n",
       "L 294.447269 219.825962 \n",
       "L 294.785443 219.825962 \n",
       "L 294.785443 220.03156 \n",
       "L 295.123632 220.03156 \n",
       "L 295.123632 220.230226 \n",
       "L 295.461806 220.230226 \n",
       "L 295.461806 220.427985 \n",
       "L 295.799995 220.427985 \n",
       "L 295.799995 220.634789 \n",
       "L 296.138185 220.634789 \n",
       "L 296.138185 220.850499 \n",
       "L 296.476358 220.850499 \n",
       "L 296.476358 221.065208 \n",
       "L 296.814548 221.065208 \n",
       "L 296.814548 221.264906 \n",
       "L 297.152721 221.264906 \n",
       "L 297.152721 221.463706 \n",
       "L 297.490911 221.463706 \n",
       "L 297.490911 221.66032 \n",
       "L 297.829084 221.66032 \n",
       "L 297.829084 221.854808 \n",
       "L 298.167274 221.854808 \n",
       "L 298.167274 222.048388 \n",
       "L 298.505447 222.048388 \n",
       "L 298.505447 222.243835 \n",
       "L 298.843637 222.243835 \n",
       "L 298.843637 222.438362 \n",
       "L 299.18181 222.438362 \n",
       "L 299.18181 222.631631 \n",
       "L 299.52 222.631631 \n",
       "L 299.52 222.823636 \n",
       "L 299.858173 222.823636 \n",
       "L 299.858173 223.014704 \n",
       "L 300.196363 223.014704 \n",
       "L 300.196363 223.205935 \n",
       "L 300.534536 223.205935 \n",
       "L 300.534536 223.396206 \n",
       "L 300.872725 223.396206 \n",
       "L 300.872725 223.576511 \n",
       "L 301.210899 223.576511 \n",
       "L 301.210899 223.746925 \n",
       "L 301.549088 223.746925 \n",
       "L 301.549088 223.916539 \n",
       "L 301.887262 223.916539 \n",
       "L 301.887262 224.108772 \n",
       "L 302.225451 224.108772 \n",
       "L 302.225451 224.300039 \n",
       "L 302.563625 224.300039 \n",
       "L 302.563625 224.47496 \n",
       "L 302.901814 224.47496 \n",
       "L 302.901814 224.633681 \n",
       "L 303.239988 224.633681 \n",
       "L 303.239988 224.791609 \n",
       "L 303.578177 224.791609 \n",
       "L 303.578177 224.968876 \n",
       "L 303.916351 224.968876 \n",
       "L 303.916351 225.145203 \n",
       "L 304.25454 225.145203 \n",
       "L 304.25454 225.316187 \n",
       "L 304.59273 225.316187 \n",
       "L 304.59273 225.48185 \n",
       "L 304.930903 225.48185 \n",
       "L 304.930903 225.646666 \n",
       "L 305.269093 225.646666 \n",
       "L 305.269093 225.82242 \n",
       "L 305.607266 225.82242 \n",
       "L 305.607266 225.99725 \n",
       "L 305.945456 225.99725 \n",
       "L 305.945456 226.16562 \n",
       "L 306.283629 226.16562 \n",
       "L 306.283629 226.327629 \n",
       "L 306.621819 226.327629 \n",
       "L 306.621819 226.488777 \n",
       "L 306.959992 226.488777 \n",
       "L 306.959992 226.651353 \n",
       "L 307.298182 226.651353 \n",
       "L 307.298182 226.81306 \n",
       "L 307.636355 226.81306 \n",
       "L 307.636355 226.974785 \n",
       "L 307.974545 226.974785 \n",
       "L 307.974545 227.136507 \n",
       "L 308.312718 227.136507 \n",
       "L 308.312718 227.297371 \n",
       "L 308.650908 227.297371 \n",
       "L 308.650908 227.447527 \n",
       "L 308.989081 227.447527 \n",
       "L 308.989081 227.596887 \n",
       "L 309.327271 227.596887 \n",
       "L 309.327271 227.74905 \n",
       "L 309.665444 227.74905 \n",
       "L 309.665444 227.90405 \n",
       "L 310.003634 227.90405 \n",
       "L 310.003634 228.058302 \n",
       "L 310.341807 228.058302 \n",
       "L 310.341807 228.193826 \n",
       "L 310.679997 228.193826 \n",
       "L 310.679997 228.32872 \n",
       "L 311.01817 228.32872 \n",
       "L 311.01817 228.466856 \n",
       "L 311.35636 228.466856 \n",
       "L 311.35636 228.608221 \n",
       "L 311.694533 228.608221 \n",
       "L 311.694533 228.748901 \n",
       "L 312.032723 228.748901 \n",
       "L 312.032723 228.891781 \n",
       "L 312.370896 228.891781 \n",
       "L 312.370896 229.033948 \n",
       "L 312.709086 229.033948 \n",
       "L 312.709086 229.167817 \n",
       "L 313.047275 229.167817 \n",
       "L 313.047275 229.293481 \n",
       "L 313.385449 229.293481 \n",
       "L 313.385449 229.418636 \n",
       "L 313.723638 229.418636 \n",
       "L 313.723638 229.550625 \n",
       "L 314.061812 229.550625 \n",
       "L 314.061812 229.682061 \n",
       "L 314.400001 229.682061 \n",
       "L 314.400001 229.80057 \n",
       "L 315.076364 229.906275 \n",
       "L 315.076364 230.011545 \n",
       "L 315.414538 230.011545 \n",
       "L 315.414538 230.156579 \n",
       "L 315.752727 230.156579 \n",
       "L 315.752727 230.300968 \n",
       "L 316.090901 230.300968 \n",
       "L 316.090901 230.429282 \n",
       "L 316.42909 230.429282 \n",
       "L 316.42909 230.541702 \n",
       "L 316.767264 230.541702 \n",
       "L 316.767264 230.653717 \n",
       "L 317.105453 230.653717 \n",
       "L 317.105453 230.767118 \n",
       "L 317.443627 230.767118 \n",
       "L 317.443627 230.880091 \n",
       "L 318.119989 230.98857 \n",
       "L 318.119989 231.092573 \n",
       "L 318.796352 231.19619 \n",
       "L 318.796352 231.305757 \n",
       "L 319.472715 231.414918 \n",
       "L 319.472715 231.520099 \n",
       "L 320.149078 231.621409 \n",
       "L 320.149078 231.722433 \n",
       "L 320.825441 231.816843 \n",
       "L 320.825441 231.910988 \n",
       "L 321.501821 232.006757 \n",
       "L 321.501821 232.104119 \n",
       "L 322.178183 232.201221 \n",
       "L 322.178183 232.301266 \n",
       "L 322.854546 232.401032 \n",
       "L 322.854546 232.494838 \n",
       "L 323.530909 232.582711 \n",
       "L 323.530909 232.670317 \n",
       "L 324.207272 232.76011 \n",
       "L 324.207272 232.849629 \n",
       "L 324.883635 232.939937 \n",
       "L 324.883635 233.031014 \n",
       "L 325.559998 233.121818 \n",
       "L 325.559998 233.202594 \n",
       "L 326.236361 233.283128 \n",
       "L 326.236361 233.365996 \n",
       "L 326.912724 233.451149 \n",
       "L 326.912724 233.536009 \n",
       "L 327.589087 233.617866 \n",
       "L 327.589087 233.699052 \n",
       "L 328.26545 233.777246 \n",
       "L 328.26545 233.853281 \n",
       "L 328.941813 233.929065 \n",
       "L 328.941813 234.008978 \n",
       "L 329.618176 234.088612 \n",
       "L 329.618176 234.166156 \n",
       "L 330.294555 234.241543 \n",
       "L 330.294555 234.316577 \n",
       "L 330.970902 234.390631 \n",
       "L 330.970902 234.46434 \n",
       "L 331.647281 234.534227 \n",
       "L 331.647281 234.600322 \n",
       "L 332.323628 234.666123 \n",
       "L 332.323628 234.736956 \n",
       "L 333.000007 234.807461 \n",
       "L 333.000007 234.878256 \n",
       "L 333.676354 234.949294 \n",
       "L 333.676354 235.019921 \n",
       "L 334.352733 235.087428 \n",
       "L 334.352733 235.154549 \n",
       "L 335.02908 235.219521 \n",
       "L 335.02908 235.282376 \n",
       "L 335.705459 235.344881 \n",
       "L 335.705459 235.406104 \n",
       "L 336.381806 235.46698 \n",
       "L 336.381806 235.529531 \n",
       "L 337.058185 235.593713 \n",
       "L 337.058185 235.657495 \n",
       "L 337.734532 235.717224 \n",
       "L 337.734532 235.776602 \n",
       "L 338.410911 235.835936 \n",
       "L 338.410911 235.89521 \n",
       "L 339.087258 235.954118 \n",
       "L 339.087258 236.008961 \n",
       "L 340.101827 236.118079 \n",
       "L 340.101827 236.172739 \n",
       "L 340.778173 236.227073 \n",
       "L 340.778173 236.284745 \n",
       "L 341.454553 236.342049 \n",
       "L 341.454553 236.397049 \n",
       "L 342.469089 236.502213 \n",
       "L 342.469089 236.555485 \n",
       "L 343.483625 236.660456 \n",
       "L 343.483625 236.711589 \n",
       "L 344.498162 236.809884 \n",
       "L 344.498162 236.8572 \n",
       "L 345.51273 236.952051 \n",
       "L 345.51273 236.999225 \n",
       "L 346.527267 237.090375 \n",
       "L 346.527267 237.134117 \n",
       "L 347.541803 237.218 \n",
       "L 347.541803 237.258419 \n",
       "L 348.556372 237.338029 \n",
       "L 348.556372 237.376654 \n",
       "L 349.570908 237.453212 \n",
       "L 349.570908 237.491136 \n",
       "L 350.585445 237.571788 \n",
       "L 350.585445 237.612668 \n",
       "L 351.599981 237.686675 \n",
       "L 351.599981 237.724099 \n",
       "L 352.61455 237.799755 \n",
       "L 352.61455 237.837682 \n",
       "L 353.629086 237.913175 \n",
       "L 353.629086 237.951032 \n",
       "L 354.981812 238.061402 \n",
       "L 354.981812 238.098187 \n",
       "L 356.334538 238.209171 \n",
       "L 356.334538 238.245576 \n",
       "L 357.687264 238.353005 \n",
       "L 357.687264 238.389541 \n",
       "L 359.03999 238.495754 \n",
       "L 359.03999 238.529932 \n",
       "L 360.392716 238.634568 \n",
       "L 360.392716 238.672449 \n",
       "L 361.745442 238.776884 \n",
       "L 361.745442 238.810956 \n",
       "L 363.098168 238.917973 \n",
       "L 363.098168 238.95531 \n",
       "L 364.450894 239.064605 \n",
       "L 364.450894 239.097614 \n",
       "L 365.80362 239.194198 \n",
       "L 365.80362 239.225597 \n",
       "L 367.156346 239.329908 \n",
       "L 367.156346 239.36291 \n",
       "L 368.509072 239.455199 \n",
       "L 368.509072 239.485985 \n",
       "L 369.861798 239.580382 \n",
       "L 369.861798 239.611033 \n",
       "L 371.214524 239.697376 \n",
       "L 371.214524 239.728762 \n",
       "L 372.567282 239.815324 \n",
       "L 372.567282 239.841551 \n",
       "L 373.581818 239.900041 \n",
       "L 373.581818 239.900041 \n",
       "\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_13\"/>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 54 252 \n",
       "L 54 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 388.8 252 \n",
       "L 388.8 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 54 252 \n",
       "L 388.8 252 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 54 34.56 \n",
       "L 388.8 34.56 \n",
       "\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n",
       "   </g>\n",
       "   <g id=\"text_14\">\n",
       "    <!-- data/acisf04938_000N002_r0043_arf3.fits -->\n",
       "    <g transform=\"translate(95.528438 28.56)scale(0.12 -0.12)\">\n",
       "     <defs>\n",
       "      <path d=\"M 45.40625 46.390625 \n",
       "L 45.40625 75.984375 \n",
       "L 54.390625 75.984375 \n",
       "L 54.390625 0 \n",
       "L 45.40625 0 \n",
       "L 45.40625 8.203125 \n",
       "Q 42.578125 3.328125 38.25 0.953125 \n",
       "Q 33.9375 -1.421875 27.875 -1.421875 \n",
       "Q 17.96875 -1.421875 11.734375 6.484375 \n",
       "Q 5.515625 14.40625 5.515625 27.296875 \n",
       "Q 5.515625 40.1875 11.734375 48.09375 \n",
       "Q 17.96875 56 27.875 56 \n",
       "Q 33.9375 56 38.25 53.625 \n",
       "Q 42.578125 51.265625 45.40625 46.390625 \n",
       "z\n",
       "M 14.796875 27.296875 \n",
       "Q 14.796875 17.390625 18.875 11.75 \n",
       "Q 22.953125 6.109375 30.078125 6.109375 \n",
       "Q 37.203125 6.109375 41.296875 11.75 \n",
       "Q 45.40625 17.390625 45.40625 27.296875 \n",
       "Q 45.40625 37.203125 41.296875 42.84375 \n",
       "Q 37.203125 48.484375 30.078125 48.484375 \n",
       "Q 22.953125 48.484375 18.875 42.84375 \n",
       "Q 14.796875 37.203125 14.796875 27.296875 \n",
       "z\n",
       "\" id=\"DejaVuSans-100\"/>\n",
       "      <path d=\"M 34.28125 27.484375 \n",
       "Q 23.390625 27.484375 19.1875 25 \n",
       "Q 14.984375 22.515625 14.984375 16.5 \n",
       "Q 14.984375 11.71875 18.140625 8.90625 \n",
       "Q 21.296875 6.109375 26.703125 6.109375 \n",
       "Q 34.1875 6.109375 38.703125 11.40625 \n",
       "Q 43.21875 16.703125 43.21875 25.484375 \n",
       "L 43.21875 27.484375 \n",
       "z\n",
       "M 52.203125 31.203125 \n",
       "L 52.203125 0 \n",
       "L 43.21875 0 \n",
       "L 43.21875 8.296875 \n",
       "Q 40.140625 3.328125 35.546875 0.953125 \n",
       "Q 30.953125 -1.421875 24.3125 -1.421875 \n",
       "Q 15.921875 -1.421875 10.953125 3.296875 \n",
       "Q 6 8.015625 6 15.921875 \n",
       "Q 6 25.140625 12.171875 29.828125 \n",
       "Q 18.359375 34.515625 30.609375 34.515625 \n",
       "L 43.21875 34.515625 \n",
       "L 43.21875 35.40625 \n",
       "Q 43.21875 41.609375 39.140625 45 \n",
       "Q 35.0625 48.390625 27.6875 48.390625 \n",
       "Q 23 48.390625 18.546875 47.265625 \n",
       "Q 14.109375 46.140625 10.015625 43.890625 \n",
       "L 10.015625 52.203125 \n",
       "Q 14.9375 54.109375 19.578125 55.046875 \n",
       "Q 24.21875 56 28.609375 56 \n",
       "Q 40.484375 56 46.34375 49.84375 \n",
       "Q 52.203125 43.703125 52.203125 31.203125 \n",
       "z\n",
       "\" id=\"DejaVuSans-97\"/>\n",
       "      <path d=\"M 18.3125 70.21875 \n",
       "L 18.3125 54.6875 \n",
       "L 36.8125 54.6875 \n",
       "L 36.8125 47.703125 \n",
       "L 18.3125 47.703125 \n",
       "L 18.3125 18.015625 \n",
       "Q 18.3125 11.328125 20.140625 9.421875 \n",
       "Q 21.96875 7.515625 27.59375 7.515625 \n",
       "L 36.8125 7.515625 \n",
       "L 36.8125 0 \n",
       "L 27.59375 0 \n",
       "Q 17.1875 0 13.234375 3.875 \n",
       "Q 9.28125 7.765625 9.28125 18.015625 \n",
       "L 9.28125 47.703125 \n",
       "L 2.6875 47.703125 \n",
       "L 2.6875 54.6875 \n",
       "L 9.28125 54.6875 \n",
       "L 9.28125 70.21875 \n",
       "z\n",
       "\" id=\"DejaVuSans-116\"/>\n",
       "      <path d=\"M 25.390625 72.90625 \n",
       "L 33.6875 72.90625 \n",
       "L 8.296875 -9.28125 \n",
       "L 0 -9.28125 \n",
       "z\n",
       "\" id=\"DejaVuSans-47\"/>\n",
       "      <path d=\"M 9.421875 54.6875 \n",
       "L 18.40625 54.6875 \n",
       "L 18.40625 0 \n",
       "L 9.421875 0 \n",
       "z\n",
       "M 9.421875 75.984375 \n",
       "L 18.40625 75.984375 \n",
       "L 18.40625 64.59375 \n",
       "L 9.421875 64.59375 \n",
       "z\n",
       "\" id=\"DejaVuSans-105\"/>\n",
       "      <path d=\"M 44.28125 53.078125 \n",
       "L 44.28125 44.578125 \n",
       "Q 40.484375 46.53125 36.375 47.5 \n",
       "Q 32.28125 48.484375 27.875 48.484375 \n",
       "Q 21.1875 48.484375 17.84375 46.4375 \n",
       "Q 14.5 44.390625 14.5 40.28125 \n",
       "Q 14.5 37.15625 16.890625 35.375 \n",
       "Q 19.28125 33.59375 26.515625 31.984375 \n",
       "L 29.59375 31.296875 \n",
       "Q 39.15625 29.25 43.1875 25.515625 \n",
       "Q 47.21875 21.78125 47.21875 15.09375 \n",
       "Q 47.21875 7.46875 41.1875 3.015625 \n",
       "Q 35.15625 -1.421875 24.609375 -1.421875 \n",
       "Q 20.21875 -1.421875 15.453125 -0.5625 \n",
       "Q 10.6875 0.296875 5.421875 2 \n",
       "L 5.421875 11.28125 \n",
       "Q 10.40625 8.6875 15.234375 7.390625 \n",
       "Q 20.0625 6.109375 24.8125 6.109375 \n",
       "Q 31.15625 6.109375 34.5625 8.28125 \n",
       "Q 37.984375 10.453125 37.984375 14.40625 \n",
       "Q 37.984375 18.0625 35.515625 20.015625 \n",
       "Q 33.0625 21.96875 24.703125 23.78125 \n",
       "L 21.578125 24.515625 \n",
       "Q 13.234375 26.265625 9.515625 29.90625 \n",
       "Q 5.8125 33.546875 5.8125 39.890625 \n",
       "Q 5.8125 47.609375 11.28125 51.796875 \n",
       "Q 16.75 56 26.8125 56 \n",
       "Q 31.78125 56 36.171875 55.265625 \n",
       "Q 40.578125 54.546875 44.28125 53.078125 \n",
       "z\n",
       "\" id=\"DejaVuSans-115\"/>\n",
       "      <path d=\"M 37.109375 75.984375 \n",
       "L 37.109375 68.5 \n",
       "L 28.515625 68.5 \n",
       "Q 23.6875 68.5 21.796875 66.546875 \n",
       "Q 19.921875 64.59375 19.921875 59.515625 \n",
       "L 19.921875 54.6875 \n",
       "L 34.71875 54.6875 \n",
       "L 34.71875 47.703125 \n",
       "L 19.921875 47.703125 \n",
       "L 19.921875 0 \n",
       "L 10.890625 0 \n",
       "L 10.890625 47.703125 \n",
       "L 2.296875 47.703125 \n",
       "L 2.296875 54.6875 \n",
       "L 10.890625 54.6875 \n",
       "L 10.890625 58.5 \n",
       "Q 10.890625 67.625 15.140625 71.796875 \n",
       "Q 19.390625 75.984375 28.609375 75.984375 \n",
       "z\n",
       "\" id=\"DejaVuSans-102\"/>\n",
       "      <path d=\"M 10.984375 1.515625 \n",
       "L 10.984375 10.5 \n",
       "Q 14.703125 8.734375 18.5 7.8125 \n",
       "Q 22.3125 6.890625 25.984375 6.890625 \n",
       "Q 35.75 6.890625 40.890625 13.453125 \n",
       "Q 46.046875 20.015625 46.78125 33.40625 \n",
       "Q 43.953125 29.203125 39.59375 26.953125 \n",
       "Q 35.25 24.703125 29.984375 24.703125 \n",
       "Q 19.046875 24.703125 12.671875 31.3125 \n",
       "Q 6.296875 37.9375 6.296875 49.421875 \n",
       "Q 6.296875 60.640625 12.9375 67.421875 \n",
       "Q 19.578125 74.21875 30.609375 74.21875 \n",
       "Q 43.265625 74.21875 49.921875 64.515625 \n",
       "Q 56.59375 54.828125 56.59375 36.375 \n",
       "Q 56.59375 19.140625 48.40625 8.859375 \n",
       "Q 40.234375 -1.421875 26.421875 -1.421875 \n",
       "Q 22.703125 -1.421875 18.890625 -0.6875 \n",
       "Q 15.09375 0.046875 10.984375 1.515625 \n",
       "z\n",
       "M 30.609375 32.421875 \n",
       "Q 37.25 32.421875 41.125 36.953125 \n",
       "Q 45.015625 41.5 45.015625 49.421875 \n",
       "Q 45.015625 57.28125 41.125 61.84375 \n",
       "Q 37.25 66.40625 30.609375 66.40625 \n",
       "Q 23.96875 66.40625 20.09375 61.84375 \n",
       "Q 16.21875 57.28125 16.21875 49.421875 \n",
       "Q 16.21875 41.5 20.09375 36.953125 \n",
       "Q 23.96875 32.421875 30.609375 32.421875 \n",
       "z\n",
       "\" id=\"DejaVuSans-57\"/>\n",
       "      <path d=\"M 50.984375 -16.609375 \n",
       "L 50.984375 -23.578125 \n",
       "L -0.984375 -23.578125 \n",
       "L -0.984375 -16.609375 \n",
       "z\n",
       "\" id=\"DejaVuSans-95\"/>\n",
       "      <path d=\"M 9.8125 72.90625 \n",
       "L 23.09375 72.90625 \n",
       "L 55.421875 11.921875 \n",
       "L 55.421875 72.90625 \n",
       "L 64.984375 72.90625 \n",
       "L 64.984375 0 \n",
       "L 51.703125 0 \n",
       "L 19.390625 60.984375 \n",
       "L 19.390625 0 \n",
       "L 9.8125 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-78\"/>\n",
       "      <path d=\"M 10.6875 12.40625 \n",
       "L 21 12.40625 \n",
       "L 21 0 \n",
       "L 10.6875 0 \n",
       "z\n",
       "\" id=\"DejaVuSans-46\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-100\"/>\n",
       "     <use x=\"63.476562\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"124.755859\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "     <use x=\"163.964844\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"225.244141\" xlink:href=\"#DejaVuSans-47\"/>\n",
       "     <use x=\"258.935547\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"320.214844\" xlink:href=\"#DejaVuSans-99\"/>\n",
       "     <use x=\"375.195312\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"402.978516\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "     <use x=\"455.078125\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"490.283203\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"553.90625\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "     <use x=\"617.529297\" xlink:href=\"#DejaVuSans-57\"/>\n",
       "     <use x=\"681.152344\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"744.775391\" xlink:href=\"#DejaVuSans-56\"/>\n",
       "     <use x=\"808.398438\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"858.398438\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"922.021484\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"985.644531\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1049.267578\" xlink:href=\"#DejaVuSans-78\"/>\n",
       "     <use x=\"1124.072266\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1187.695312\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1251.318359\" xlink:href=\"#DejaVuSans-50\"/>\n",
       "     <use x=\"1314.941406\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"1364.941406\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"1406.054688\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1469.677734\" xlink:href=\"#DejaVuSans-48\"/>\n",
       "     <use x=\"1533.300781\" xlink:href=\"#DejaVuSans-52\"/>\n",
       "     <use x=\"1596.923828\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"1660.546875\" xlink:href=\"#DejaVuSans-95\"/>\n",
       "     <use x=\"1710.546875\" xlink:href=\"#DejaVuSans-97\"/>\n",
       "     <use x=\"1771.826172\" xlink:href=\"#DejaVuSans-114\"/>\n",
       "     <use x=\"1812.939453\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"1848.144531\" xlink:href=\"#DejaVuSans-51\"/>\n",
       "     <use x=\"1911.767578\" xlink:href=\"#DejaVuSans-46\"/>\n",
       "     <use x=\"1943.554688\" xlink:href=\"#DejaVuSans-102\"/>\n",
       "     <use x=\"1978.759766\" xlink:href=\"#DejaVuSans-105\"/>\n",
       "     <use x=\"2006.542969\" xlink:href=\"#DejaVuSans-116\"/>\n",
       "     <use x=\"2045.751953\" xlink:href=\"#DejaVuSans-115\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"pcb65dc4f62\">\n",
       "   <rect height=\"217.44\" width=\"334.8\" x=\"54\" y=\"34.56\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n",
       "</details></div><details open><summary>Summary (5)</summary><div class=\"datavals\"><div class=\"dataname\">Identifier</div><div class=\"dataval\">data/acisf04938_000N002_r0043_arf3.fits</div><div class=\"dataname\">Exposure</div><div class=\"dataval\">50454.2 s</div><div class=\"dataname\">Number of bins</div><div class=\"dataval\">900</div><div class=\"dataname\">Energy range</div><div class=\"dataval\">0.3 - 9.3 keV, bin size 0.0100002 keV</div><div class=\"dataname\">Area range</div><div class=\"dataval\">0.0283801 - 480.514 cm<sup>2</sup></div></div></details><details><summary>Metadata (5)</summary><div class=\"datavals\"><div class=\"dataname\">Mission or Satellite</div><div class=\"dataval\">CHANDRA</div><div class=\"dataname\">Instrument or Detector</div><div class=\"dataval\">ACIS</div><div class=\"dataname\">Object</div><div class=\"dataval\">CSC</div><div class=\"dataname\">Observation date</div><div class=\"dataval\">2005-05-03T13:18:52</div><div class=\"dataname\">Program that created the ARF</div><div class=\"dataval\">dmjoin - CAT3.0.6</div></div></details></div>"
      ],
      "text/plain": [
       "<DataARF data set instance 'data/acisf04938_000N002_r0043_arf3.fits'>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_arf(99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "under-offering",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = 99\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 3824\n",
      "Final fit statistic   = 162.075 at function evaluation 241\n",
      "Data points           = 158\n",
      "Degrees of freedom    = 152\n",
      "Probability [Q-value] = 0.273057\n",
      "Reduced statistic     = 1.06628\n",
      "Change in statistic   = 3661.92\n",
      "   bpl1_99.gamma   -3.567       +/- 1.49535     \n",
      "   bpl1_99.ampl   4.21144e-06  +/- 1.23238e-05 \n",
      "   bpl2_99.gamma   0.580869     +/- 0.0507589   \n",
      "   bpl2_99.ampl   0.0178635    +/- 0.000496128 \n",
      "   bline1_99.LineE   2.14233      +/- 0.00800638  \n",
      "   bline1_99.norm   0.00238674   +/- 0.000318653 \n"
     ]
    }
   ],
   "source": [
    "fit_bkg(99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "formed-cleaner",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bkg_fit_resid(99)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "mysterious-beverage",
   "metadata": {},
   "source": [
    "So, this appears to have worked.\n",
    "\n",
    "What happens if we fit the source now?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "resistant-edwards",
   "metadata": {},
   "outputs": [],
   "source": [
    "set_source(99, xsphabs.gal_99 * powlaw1d.pl_99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "discrete-collaboration",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = 99\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 4.17349e+11\n",
      "Final fit statistic   = 3686.82 at function evaluation 618\n",
      "Data points           = 225\n",
      "Degrees of freedom    = 216\n",
      "Probability [Q-value] = 0\n",
      "Reduced statistic     = 17.0686\n",
      "Change in statistic   = 4.17349e+11\n",
      "   gal_99.nH      4.66815      +/- 0           \n",
      "   pl_99.gamma    4.176        +/- 0           \n",
      "   pl_99.ampl     0.000294072  +/- 0           \n",
      "   bpl1_99.gamma   -9.50809     +/- 0           \n",
      "   bpl1_99.ampl   3.84951e-12  +/- 1.66549e-13 \n",
      "   bpl2_99.gamma   1.99901      +/- 0           \n",
      "   bpl2_99.ampl   0.00117106   +/- 0           \n",
      "   bline1_99.LineE   0.579914     +/- 0           \n",
      "   bline1_99.norm   0.000153684  +/- 0           \n",
      "WARNING: parameter value bpl1_99.ampl is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "fit(99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "athletic-sherman",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = 99\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 3686.82\n",
      "Final fit statistic   = 3652.07 at function evaluation 419\n",
      "Data points           = 225\n",
      "Degrees of freedom    = 216\n",
      "Probability [Q-value] = 0\n",
      "Reduced statistic     = 16.9077\n",
      "Change in statistic   = 34.7525\n",
      "   gal_99.nH      9.89613      +/- 0           \n",
      "   pl_99.gamma    4.28921      +/- 0           \n",
      "   pl_99.ampl     0            +/- 0           \n",
      "   bpl1_99.gamma   -9.44684     +/- 0           \n",
      "   bpl1_99.ampl   3.6949e-12   +/- 4.68153e-13 \n",
      "   bpl2_99.gamma   1.83489      +/- 0           \n",
      "   bpl2_99.ampl   0.00120816   +/- 0           \n",
      "   bline1_99.LineE   0.557509     +/- 0           \n",
      "   bline1_99.norm   0.000719699  +/- 0           \n",
      "WARNING: parameter value pl_99.ampl is at its minimum boundary 0.0\n",
      "WARNING: parameter value bpl1_99.ampl is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "fit(99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "spoken-luxury",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = 99\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 3652.07\n",
      "Final fit statistic   = 3652.07 at function evaluation 331\n",
      "Data points           = 225\n",
      "Degrees of freedom    = 216\n",
      "Probability [Q-value] = 0\n",
      "Reduced statistic     = 16.9077\n",
      "Change in statistic   = 0.000247509\n",
      "   gal_99.nH      9.89613      +/- 0           \n",
      "   pl_99.gamma    4.28921      +/- 0           \n",
      "   pl_99.ampl     0            +/- 0           \n",
      "   bpl1_99.gamma   -9.44671     +/- 0           \n",
      "   bpl1_99.ampl   3.69578e-12  +/- 4.6827e-13  \n",
      "   bpl2_99.gamma   1.83492      +/- 0           \n",
      "   bpl2_99.ampl   0.00120811   +/- 0           \n",
      "   bline1_99.LineE   0.557508     +/- 0           \n",
      "   bline1_99.norm   0.000719803  +/- 0           \n",
      "WARNING: parameter value pl_99.ampl is at its minimum boundary 0.0\n",
      "WARNING: parameter value bpl1_99.ampl is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "fit(99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "dangerous-swimming",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = 99\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 3652.07\n",
      "Final fit statistic   = 3652.07 at function evaluation 331\n",
      "Data points           = 225\n",
      "Degrees of freedom    = 216\n",
      "Probability [Q-value] = 0\n",
      "Reduced statistic     = 16.9077\n",
      "Change in statistic   = 0.000217535\n",
      "   gal_99.nH      9.89613      +/- 0           \n",
      "   pl_99.gamma    4.28921      +/- 0           \n",
      "   pl_99.ampl     0            +/- 0           \n",
      "   bpl1_99.gamma   -9.44659     +/- 0           \n",
      "   bpl1_99.ampl   3.69668e-12  +/- 4.68382e-13 \n",
      "   bpl2_99.gamma   1.83495      +/- 0           \n",
      "   bpl2_99.ampl   0.00120807   +/- 0           \n",
      "   bline1_99.LineE   0.557507     +/- 0           \n",
      "   bline1_99.norm   0.000719897  +/- 0           \n",
      "WARNING: parameter value pl_99.ampl is at its minimum boundary 0.0\n",
      "WARNING: parameter value bpl1_99.ampl is at its minimum boundary 0.0\n"
     ]
    }
   ],
   "source": [
    "fit(99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "suspected-audience",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_fit_delchi(99)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "funded-cleaners",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Errr...\n",
    "\n",
    "So, this doesn't look great. The reason is that we've defined a background model which is to be fit with just a RMF, but when we include it into the source region we end up applying both the RMF and the ARF, as `get_model` shows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "first-choir",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>/*\n",
       "Copyright (C) 2020  Smithsonian Astrophysical Observatory\n",
       "\n",
       "\n",
       " This program is free software; you can redistribute it and/or modify\n",
       " it under the terms of the GNU General Public License as published by\n",
       " the Free Software Foundation; either version 3 of the License, or\n",
       " (at your option) any later version.\n",
       "\n",
       " This program is distributed in the hope that it will be useful,\n",
       " but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
       " MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
       " GNU General Public License for more details.\n",
       "\n",
       " You should have received a copy of the GNU General Public License along\n",
       " with this program; if not, write to the Free Software Foundation, Inc.,\n",
       " 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n",
       "\n",
       "*/\n",
       "\n",
       ":root {\n",
       "  --sherpa-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --sherpa-background-color: var(--jp-layout-color0, white);\n",
       "  --sherpa-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --sherpa-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "\n",
       "  /* https://medium.com/ge-design/iot-cool-gray-is-a-great-background-color-for-data-visualization-ebf18c318418 */\n",
       "  --sherpa-background-color-dark1: #EBEFF2;\n",
       "  --sherpa-background-color-dark2: #D8E0E5;\n",
       "}\n",
       "\n",
       "div.sherpa-text-fallback {\n",
       "    display: none;\n",
       "}\n",
       "\n",
       "div.sherpa {\n",
       "    display: block;\n",
       "}\n",
       "\n",
       "div.sherpa details summary {\n",
       "    display: list-item;  /* needed for notebook, not lab */\n",
       "    font-size: larger;\n",
       "}\n",
       "\n",
       "div.sherpa details div.datavals {\n",
       "    display: grid;\n",
       "    grid-template-columns: 1fr 3fr;\n",
       "    column-gap: 0.5em;\n",
       "}\n",
       "\n",
       "div.sherpa div.dataname {\n",
       "    font-weight: bold;\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa div.dataval { }\n",
       "\n",
       "div.sherpa div.datavals div:nth-child(4n + 1) ,\n",
       "div.sherpa div.datavals div:nth-child(4n + 2) {\n",
       "    background: var(--sherpa-background-color-row-odd);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tbody {\n",
       "    border-bottom: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model tr.block {\n",
       "    border-top: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd ,\n",
       "div.sherpa table.model th.model-even {\n",
       "    border-right: 1px solid var(--sherpa-border-color);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-odd {\n",
       "    background: var(--sherpa-background-color-dark1);\n",
       "}\n",
       "\n",
       "div.sherpa table.model th.model-even {\n",
       "    background: var(--sherpa-background-color-dark2);\n",
       "}\n",
       "\n",
       "div.sherpa .failed {\n",
       "    background: orange;\n",
       "    font-size: large;\n",
       "    padding: 1em;\n",
       "}\n",
       "</style><div class=\"sherpa-text-fallback\">&lt;RSPModelPHA model instance &#x27;apply_rmf(apply_arf((50454.152030948 * ((xsphabs.gal_99 * powlaw1d.pl_99) + (0.06576568179195134 * ((powlaw1d.bpl1_99 + powlaw1d.bpl2_99) + xsgaussian.bline1_99))))))&#x27;&gt;</div><div hidden class=\"sherpa\"><details open><summary>Model</summary><table class=\"model\"><caption>Expression: apply_rmf(apply_arf((50454.152030948 * ((xsphabs.gal_99 * powlaw1d.pl_99) + (0.06576568179195134 * ((powlaw1d.bpl1_99 + powlaw1d.bpl2_99) + xsgaussian.bline1_99))))))</caption><thead><tr><th>Component</th><th>Parameter</th><th>Thawed</th><th>Value</th><th>Min</th><th>Max</th><th>Units</th></tr></thead><tbody><tr><th class=\"model-odd\" scope=\"rowgroup\" rowspan=1>gal_99</th><td>nH</td><td><input disabled type=\"checkbox\" checked></input></td><td>9.896133441326267</td><td>0.0</td><td>100000.0</td><td>10^22 atoms / cm^2</td></tr><tr class=\"block\"><th class=\"model-even\" scope=\"rowgroup\" rowspan=3>pl_99</th><td>gamma</td><td><input disabled type=\"checkbox\" checked></input></td><td>4.289211995323165</td><td>-10.0</td><td>10.0</td><td></td></tr><tr><td>ref</td><td><input disabled type=\"checkbox\"></input></td><td>1.0</td><td>-MAX</td><td>MAX</td><td></td></tr><tr><td>ampl</td><td><input disabled type=\"checkbox\" checked></input></td><td>0.0</td><td>0.0</td><td>MAX</td><td></td></tr><tr class=\"block\"><th class=\"model-odd\" scope=\"rowgroup\" rowspan=3>bpl1_99</th><td>gamma</td><td><input disabled type=\"checkbox\" checked></input></td><td>-9.44658519685735</td><td>-10.0</td><td>10.0</td><td></td></tr><tr><td>ref</td><td><input disabled type=\"checkbox\"></input></td><td>1.0</td><td>-MAX</td><td>MAX</td><td></td></tr><tr><td>ampl</td><td><input disabled type=\"checkbox\" checked></input></td><td>3.696679160909725e-12</td><td>0.0</td><td>MAX</td><td></td></tr><tr class=\"block\"><th class=\"model-even\" scope=\"rowgroup\" rowspan=3>bpl2_99</th><td>gamma</td><td><input disabled type=\"checkbox\" checked></input></td><td>1.8349506565021827</td><td>-10.0</td><td>10.0</td><td></td></tr><tr><td>ref</td><td><input disabled type=\"checkbox\"></input></td><td>1.0</td><td>-MAX</td><td>MAX</td><td></td></tr><tr><td>ampl</td><td><input disabled type=\"checkbox\" checked></input></td><td>0.0012080683384291004</td><td>0.0</td><td>MAX</td><td></td></tr><tr class=\"block\"><th class=\"model-odd\" scope=\"rowgroup\" rowspan=3>bline1_99</th><td>LineE</td><td><input disabled type=\"checkbox\" checked></input></td><td>0.5575072299112874</td><td>0.0</td><td>1000000.0</td><td>keV</td></tr><tr><td>Sigma</td><td><input disabled type=\"checkbox\"></input></td><td>0.01</td><td>0.0</td><td>10.0</td><td>keV</td></tr><tr><td>norm</td><td><input disabled type=\"checkbox\" checked></input></td><td>0.0007198972512145448</td><td>0.0</td><td>1e+24</td><td></td></tr></tbody></table></details></div>"
      ],
      "text/plain": [
       "<RSPModelPHA model instance 'apply_rmf(apply_arf((50454.152030948 * ((xsphabs.gal_99 * powlaw1d.pl_99) + (0.06576568179195134 * ((powlaw1d.bpl1_99 + powlaw1d.bpl2_99) + xsgaussian.bline1_99))))))'>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_model(99)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dramatic-knowing",
   "metadata": {
    "tags": []
   },
   "source": [
    "# So, what can we do?\n",
    "\n",
    "We have to move from using `set_source` and `set_bkg_source` to using the `set_full_model` and `set_bkg_full_model` commands, where we, not Sherpa, determine what responses are used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "cardiovascular-pakistan",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read ARF file data/acisf04938_000N002_r0043_arf3.fits\n",
      "read RMF file data/acisf04938_000N002_r0043_rmf3.fits\n",
      "read background file data/acisf04938_000N002_r0043_pha3.fits\n"
     ]
    }
   ],
   "source": [
    "# Now I'm going to use the default dataset\n",
    "load_data('data/acisf04938_000N002_r0043_pha3.fits')\n",
    "rmf_final = unpack_rmf('data/acisf04938_000N002_r0043_rmf3.fits')\n",
    "\n",
    "notice_id(1, 0.5, 7)\n",
    "group_counts(20, tabStops=~get_data(1).get_mask())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "regulation-nutrition",
   "metadata": {},
   "source": [
    "By using the `full_model` variant we have to explicitly add the response:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "bizarre-backing",
   "metadata": {},
   "outputs": [],
   "source": [
    "bkg_model = powlaw1d.bpl1_1 + powlaw1d.bpl2_1 + xsgaussian.bline1_1\n",
    "\n",
    "bline1_1.linee = 2\n",
    "set_par(bline1_1.sigma, 0.01, frozen=True)\n",
    "\n",
    "set_bkg_full_model(rmf_final(bkg_model))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "tired-cover",
   "metadata": {},
   "source": [
    "When you are using `full_model` a few commands work differently (they error out), but most commands will work as normal:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "threaded-ireland",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = 1\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 3854.57\n",
      "Final fit statistic   = 162.075 at function evaluation 540\n",
      "Data points           = 158\n",
      "Degrees of freedom    = 152\n",
      "Probability [Q-value] = 0.273057\n",
      "Reduced statistic     = 1.06628\n",
      "Change in statistic   = 3692.49\n",
      "   bpl1_1.gamma   0.580964     +/- 0.0507078   \n",
      "   bpl1_1.ampl    901.288      +/- 25.0317     \n",
      "   bpl2_1.gamma   -3.56332     +/- 1.49668     \n",
      "   bpl2_1.ampl    0.213999     +/- 0.616455    \n",
      "   bline1_1.LineE   2.14233      +/- 0.00800688  \n",
      "   bline1_1.norm   120.427      +/- 16.0771     \n"
     ]
    }
   ],
   "source": [
    "fit_bkg(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "valid-butler",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = 1\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 162.075\n",
      "Final fit statistic   = 162.075 at function evaluation 8\n",
      "Data points           = 158\n",
      "Degrees of freedom    = 152\n",
      "Probability [Q-value] = 0.273057\n",
      "Reduced statistic     = 1.06628\n",
      "Change in statistic   = 2.71987e-07\n",
      "   bpl1_1.gamma   0.580862     +/- 0.0507626   \n",
      "   bpl1_1.ampl    901.289      +/- 25.0317     \n",
      "   bpl2_1.gamma   -3.56725     +/- 1.49504     \n",
      "   bpl2_1.ampl    0.212377     +/- 0.622157    \n",
      "   bline1_1.LineE   2.14233      +/- 0.00800634  \n",
      "   bline1_1.norm   120.42       +/- 16.0774     \n"
     ]
    }
   ],
   "source": [
    "# Just check convergence\n",
    "fit_bkg(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "auburn-delicious",
   "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": [
    "plot_bkg_fit()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "excess-spell",
   "metadata": {},
   "source": [
    "This looks good.\n",
    "\n",
    "It begins to get fun when we want to set the source model, because we need to scale the background model to match the source. The factors we have to care about are\n",
    "\n",
    "- BACKSCAL\n",
    "- AREASCAL\n",
    "- do we care about exposures (are we working with rates or counts)?\n",
    "\n",
    "Fortunately the [get_bkg_scale](https://cxc.cfa.harvard.edu/sherpa/ahelp/get_bkg_scale.html) can normally do the complicated part of dividing and multiplying values together:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "amber-newton",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.06576568179195134"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_bkg_scale(units='counts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "infrared-wireless",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.06576568179195134"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_bkg_scale(units='rate')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "unexpected-disaster",
   "metadata": {
    "tags": []
   },
   "source": [
    "For this dataset the source and background exposures are the same - that is"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "improved-encounter",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50454.152030948\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "print(get_exposure())\n",
    "print(get_exposure() == get_exposure(bkg_id=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "average-thinking",
   "metadata": {
    "tags": []
   },
   "source": [
    "which is why the `units` setting to `get_bkg_scale` doesn't make a difference."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "affecting-alert",
   "metadata": {},
   "outputs": [],
   "source": [
    "bscale = get_bkg_scale()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eligible-gospel",
   "metadata": {},
   "source": [
    "So, the model expression we want to use is\n",
    "\n",
    "    source_response(source model) + bscale * some_response(background model)\n",
    "    \n",
    "where `source_response` is the RMF + ARF for the source and `some_response` is just the RMF term (i.e. `rmf_final`)$\\ddagger$.\n",
    "\n",
    "---\n",
    "\n",
    "$\\ddagger$ - if the background response was different then we'd need to be more careful about exactly which responses were used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "atmospheric-aircraft",
   "metadata": {},
   "outputs": [],
   "source": [
    "src_model = xsphabs.gal_1 * powlaw1d.pl_1\n",
    "\n",
    "srsp = get_response()\n",
    "\n",
    "set_full_model(srsp(src_model) + bscale * rmf_final(bkg_model))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "streaming-military",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(apply_rmf(apply_arf((50454.152030948 * (xsphabs.gal_1 * powlaw1d.pl_1)))) + (0.06576568179195134 * apply_rmf(((powlaw1d.bpl1_1 + powlaw1d.bpl2_1) + xsgaussian.bline1_1))))\n",
      "   Param        Type          Value          Min          Max      Units\n",
      "   -----        ----          -----          ---          ---      -----\n",
      "   gal_1.nH     thawed            1            0       100000 10^22 atoms / cm^2\n",
      "   pl_1.gamma   thawed            1          -10           10           \n",
      "   pl_1.ref     frozen            1 -3.40282e+38  3.40282e+38           \n",
      "   pl_1.ampl    thawed            1            0  3.40282e+38           \n",
      "   bpl1_1.gamma thawed     0.580862          -10           10           \n",
      "   bpl1_1.ref   frozen            1 -3.40282e+38  3.40282e+38           \n",
      "   bpl1_1.ampl  thawed      901.289            0  3.40282e+38           \n",
      "   bpl2_1.gamma thawed     -3.56725          -10           10           \n",
      "   bpl2_1.ref   frozen            1 -3.40282e+38  3.40282e+38           \n",
      "   bpl2_1.ampl  thawed     0.212377            0  3.40282e+38           \n",
      "   bline1_1.LineE thawed      2.14233            0        1e+06        keV\n",
      "   bline1_1.Sigma frozen         0.01            0           10        keV\n",
      "   bline1_1.norm thawed       120.42            0        1e+24           \n"
     ]
    }
   ],
   "source": [
    "print(get_model())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "hundred-receipt",
   "metadata": {},
   "source": [
    "One important issue here is that the background parameters have not changed significantly after the `fit` call below, which is nice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "variable-depression",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = 1\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 4.15168e+11\n",
      "Final fit statistic   = 225.084 at function evaluation 403\n",
      "Data points           = 225\n",
      "Degrees of freedom    = 216\n",
      "Probability [Q-value] = 0.32166\n",
      "Reduced statistic     = 1.04206\n",
      "Change in statistic   = 4.15168e+11\n",
      "   gal_1.nH       0.0450469    +/- 0.0374077   \n",
      "   pl_1.gamma     2.11138      +/- 0.126576    \n",
      "   pl_1.ampl      8.01896e-05  +/- 8.64951e-06 \n",
      "   bpl1_1.gamma   0.581986     +/- 0.0469375   \n",
      "   bpl1_1.ampl    900.497      +/- 0           \n",
      "   bpl2_1.gamma   -3.52209     +/- 1.41623     \n",
      "   bpl2_1.ampl    0.239695     +/- 0.668417    \n",
      "   bline1_1.LineE   2.14278      +/- 0.00805724  \n",
      "   bline1_1.norm   118.468      +/- 15.862      \n"
     ]
    }
   ],
   "source": [
    "fit(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "loved-weekend",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset               = 1\n",
      "Method                = levmar\n",
      "Statistic             = chi2datavar\n",
      "Initial fit statistic = 225.084\n",
      "Final fit statistic   = 225.084 at function evaluation 11\n",
      "Data points           = 225\n",
      "Degrees of freedom    = 216\n",
      "Probability [Q-value] = 0.32166\n",
      "Reduced statistic     = 1.04206\n",
      "Change in statistic   = 4.19452e-06\n",
      "   gal_1.nH       0.0450748    +/- 0.0374314   \n",
      "   pl_1.gamma     2.11144      +/- 0.126596    \n",
      "   pl_1.ampl      8.0195e-05   +/- 8.65153e-06 \n",
      "   bpl1_1.gamma   0.582103     +/- 0.0468559   \n",
      "   bpl1_1.ampl    900.497      +/- 0           \n",
      "   bpl2_1.gamma   -3.51791     +/- 1.41784     \n",
      "   bpl2_1.ampl    0.241658     +/- 0.66174     \n",
      "   bline1_1.LineE   2.14278      +/- 0.00805786  \n",
      "   bline1_1.norm   118.474      +/- 15.8618     \n"
     ]
    }
   ],
   "source": [
    "# Check stability\n",
    "fit(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "international-partnership",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot('fit', 'bkgfit', xlog=True, ylog=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "determined-switzerland",
   "metadata": {},
   "source": [
    "Running an error analysis can shake out odd behavior (although as shown above we'd have likely come across odd behavior with the `fit` call):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "marine-century",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bpl1_1.ampl lower bound:\t-24.9131\n",
      "bline1_1.norm lower bound:\t-15.8541\n",
      "bpl1_1.ampl upper bound:\t24.9131\n",
      "bline1_1.norm upper bound:\t15.8541\n",
      "pl_1.gamma lower bound:\t-0.129112\n",
      "bpl2_1.gamma lower bound:\t-1.23127\n",
      "bline1_1.LineE lower bound:\t-0.0103652\n",
      "bpl2_1.gamma upper bound:\t0.975006\n",
      "bline1_1.LineE upper bound:\t0.00994993\n",
      "bpl2_1.ampl lower bound:\t-0.219497\n",
      "gal_1.nH lower bound:\t-0.0372272\n",
      "pl_1.gamma upper bound:\t0.136703\n",
      "bpl2_1.ampl upper bound:\t1.3952\n",
      "pl_1.ampl lower bound:\t-8.36572e-06\n",
      "gal_1.nH upper bound:\t0.0391022\n",
      "bpl1_1.gamma lower bound:\t-0.0420127\n",
      "bpl1_1.gamma upper bound:\t0.0472381\n",
      "pl_1.ampl upper bound:\t9.55086e-06\n",
      "Dataset               = 1\n",
      "Confidence Method     = confidence\n",
      "Iterative Fit Method  = None\n",
      "Fitting Method        = levmar\n",
      "Statistic             = chi2datavar\n",
      "confidence 1-sigma (68.2689%) bounds:\n",
      "   Param            Best-Fit  Lower Bound  Upper Bound\n",
      "   -----            --------  -----------  -----------\n",
      "   gal_1.nH        0.0450748   -0.0372272    0.0391022\n",
      "   pl_1.gamma        2.11144    -0.129112     0.136703\n",
      "   pl_1.ampl      8.0195e-05 -8.36572e-06  9.55086e-06\n",
      "   bpl1_1.gamma     0.582103   -0.0420127    0.0472381\n",
      "   bpl1_1.ampl       900.497     -24.9131      24.9131\n",
      "   bpl2_1.gamma     -3.51791     -1.23127     0.975006\n",
      "   bpl2_1.ampl      0.241658    -0.219497       1.3952\n",
      "   bline1_1.LineE      2.14278   -0.0103652   0.00994993\n",
      "   bline1_1.norm      118.474     -15.8541      15.8541\n"
     ]
    }
   ],
   "source": [
    "conf(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cloudy-poetry",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}