{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final Processing of ELAIS-S1 Blind source catalogue\n",
    "\n",
    "![HELP LOGO](https://avatars1.githubusercontent.com/u/7880370?s=100&v=4>)\n",
    "\n",
    "\n",
    "The final processing stage requires:\n",
    "1. Quick validation of blind catalogues and Bayesian Pvalue maps\n",
    "2. Skewness level\n",
    "3. Adding flag to catalogue\n",
    "4. Merging MF catalogue with XID+ flux densities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "from astropy.table import Table,hstack\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pylab as plt\n",
    "\n",
    "from astropy import units as u\n",
    "from astropy.table import Column\n",
    "\n",
    "import herschelhelp_internal\n",
    "from herschelhelp_internal.utils import gen_help_id\n",
    "import numpy.core.defchararray as np_f\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat=Table.read('./data/dmu22_XID+SPIRE_ELAIS-S1_BLIND.fits')\n",
    "cat['RA'].unit=u.deg\n",
    "cat['Dec'].unit=u.deg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=10</i>\n",
       "<table id=\"table4590932040\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>HELP_ID</th><th>RA</th><th>Dec</th><th>F_SPIRE_250</th><th>FErr_SPIRE_250_u</th><th>FErr_SPIRE_250_l</th><th>F_SPIRE_350</th><th>FErr_SPIRE_350_u</th><th>FErr_SPIRE_350_l</th><th>F_SPIRE_500</th><th>FErr_SPIRE_500_u</th><th>FErr_SPIRE_500_l</th><th>Bkg_SPIRE_250</th><th>Bkg_SPIRE_350</th><th>Bkg_SPIRE_500</th><th>Sig_conf_SPIRE_250</th><th>Sig_conf_SPIRE_350</th><th>Sig_conf_SPIRE_500</th><th>Rhat_SPIRE_250</th><th>Rhat_SPIRE_350</th><th>Rhat_SPIRE_500</th><th>n_eff_SPIRE_250</th><th>n_eff_SPIRE_500</th><th>n_eff_SPIRE_350</th><th>Pval_res_250</th><th>Pval_res_350</th><th>Pval_res_500</th></tr></thead>\n",
       "<thead><tr><th></th><th>deg</th><th>deg</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy</th><th>mJy/Beam</th><th>mJy/Beam</th><th>mJy/Beam</th><th>mJy/Beam</th><th>mJy/Beam</th><th>mJy/Beam</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>bytes27</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th></tr></thead>\n",
       "<tr><td>10834</td><td>8.31524933233</td><td>-45.3944075415</td><td>2.44616</td><td>5.2948</td><td>0.749097</td><td>0.993975</td><td>2.5867</td><td>0.247235</td><td>0.796273</td><td>1.9595</td><td>0.191153</td><td>-0.0397634</td><td>-0.0628572</td><td>-0.0498686</td><td>0.00582783</td><td>0.00746165</td><td>0.0114526</td><td>0.999749</td><td>0.998863</td><td>0.999364</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td><td>0.001</td></tr>\n",
       "<tr><td>22488</td><td>8.30638719748</td><td>-45.4132382031</td><td>63.3939</td><td>69.4562</td><td>57.0287</td><td>29.2564</td><td>34.3384</td><td>24.0158</td><td>4.78164</td><td>8.30647</td><td>1.93403</td><td>-0.0397634</td><td>-0.0628572</td><td>-0.0498686</td><td>0.00582783</td><td>0.00746165</td><td>0.0114526</td><td>0.998726</td><td>0.999792</td><td>0.998998</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>22640</td><td>8.30653235224</td><td>-45.3965891764</td><td>4.88802</td><td>8.71083</td><td>1.97286</td><td>3.12796</td><td>5.90987</td><td>1.04928</td><td>2.22855</td><td>5.20663</td><td>0.611185</td><td>-0.0397634</td><td>-0.0628572</td><td>-0.0498686</td><td>0.00582783</td><td>0.00746165</td><td>0.0114526</td><td>1.00048</td><td>0.99823</td><td>0.99861</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td><td>0.002</td></tr>\n",
       "<tr><td>5</td><td>8.32873743012</td><td>-45.3889155944</td><td>334.402</td><td>335.328</td><td>332.565</td><td>112.782</td><td>116.191</td><td>109.598</td><td>39.1512</td><td>43.1136</td><td>35.0738</td><td>-0.111291</td><td>-0.177387</td><td>-0.139599</td><td>0.00344183</td><td>0.00504164</td><td>0.00684999</td><td>0.99899</td><td>0.998649</td><td>0.998912</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.149</td><td>0.001</td><td>0.0</td></tr>\n",
       "<tr><td>14</td><td>8.86979153677</td><td>-45.2253624801</td><td>220.86</td><td>223.23</td><td>218.43</td><td>85.4756</td><td>87.8663</td><td>82.879</td><td>20.8541</td><td>23.8967</td><td>17.9475</td><td>-0.111291</td><td>-0.177387</td><td>-0.139599</td><td>0.00344183</td><td>0.00504164</td><td>0.00684999</td><td>1.0009</td><td>0.999179</td><td>1.00075</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.999</td><td>0.032</td><td>0.0</td></tr>\n",
       "<tr><td>235</td><td>8.91567183592</td><td>-45.3124773971</td><td>68.1535</td><td>72.0184</td><td>64.0776</td><td>33.2584</td><td>37.1306</td><td>29.4426</td><td>5.31488</td><td>9.02993</td><td>2.11909</td><td>-0.111291</td><td>-0.177387</td><td>-0.139599</td><td>0.00344183</td><td>0.00504164</td><td>0.00684999</td><td>0.998331</td><td>0.998339</td><td>0.999441</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.002</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>622</td><td>8.838216743</td><td>-45.1332232593</td><td>54.5375</td><td>56.9196</td><td>52.281</td><td>36.1004</td><td>37.9134</td><td>33.9279</td><td>20.9322</td><td>23.8784</td><td>18.1312</td><td>-0.111291</td><td>-0.177387</td><td>-0.139599</td><td>0.00344183</td><td>0.00504164</td><td>0.00684999</td><td>0.999469</td><td>1.00041</td><td>0.999562</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.001</td><td>0.002</td><td>0.0</td></tr>\n",
       "<tr><td>706</td><td>8.74840219932</td><td>-45.1964908737</td><td>39.1141</td><td>41.6797</td><td>36.662</td><td>28.4248</td><td>30.8673</td><td>26.1993</td><td>13.7423</td><td>16.7524</td><td>10.7939</td><td>-0.111291</td><td>-0.177387</td><td>-0.139599</td><td>0.00344183</td><td>0.00504164</td><td>0.00684999</td><td>0.998998</td><td>0.998894</td><td>1.00194</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>762</td><td>8.86022837921</td><td>-45.0938006543</td><td>43.0025</td><td>44.9396</td><td>41.0756</td><td>11.364</td><td>13.2432</td><td>9.56864</td><td>0.873099</td><td>1.93698</td><td>0.269426</td><td>-0.111291</td><td>-0.177387</td><td>-0.139599</td><td>0.00344183</td><td>0.00504164</td><td>0.00684999</td><td>0.999142</td><td>1.00138</td><td>1.00062</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.241</td><td>0.138</td><td>0.0</td></tr>\n",
       "<tr><td>899</td><td>8.96303687314</td><td>-45.3074305775</td><td>36.3136</td><td>40.0936</td><td>32.3277</td><td>13.6129</td><td>17.2695</td><td>9.93895</td><td>3.59274</td><td>7.25781</td><td>1.20799</td><td>-0.111291</td><td>-0.177387</td><td>-0.139599</td><td>0.00344183</td><td>0.00504164</td><td>0.00684999</td><td>0.998947</td><td>0.999701</td><td>0.999142</td><td>2000.0</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=10>\n",
       "          HELP_ID                 RA      ... Pval_res_350 Pval_res_500\n",
       "                                 deg      ...                          \n",
       "          bytes27              float64    ...   float32      float32   \n",
       "--------------------------- ------------- ... ------------ ------------\n",
       "10834                       8.31524933233 ...          0.0        0.001\n",
       "22488                       8.30638719748 ...          0.0          0.0\n",
       "22640                       8.30653235224 ...          0.0        0.002\n",
       "5                           8.32873743012 ...        0.001          0.0\n",
       "14                          8.86979153677 ...        0.032          0.0\n",
       "235                         8.91567183592 ...          0.0          0.0\n",
       "622                           8.838216743 ...        0.002          0.0\n",
       "706                         8.74840219932 ...          0.0          0.0\n",
       "762                         8.86022837921 ...        0.138          0.0\n",
       "899                         8.96303687314 ...          0.0          0.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat[0:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Look at Symmetry of PDFs to determine depth level of catalogue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n",
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew=(cat['FErr_SPIRE_250_u']-cat['F_SPIRE_250'])/(cat['F_SPIRE_250']-cat['FErr_SPIRE_250_l'])\n",
    "skew.name='(84th-50th)/(50th-16th) percentile'\n",
    "g=sns.jointplot(x=np.log10(cat['F_SPIRE_250']),y=skew, kind='hex')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For 250 $\\mathrm{\\mu m}$ depth is ~ 6mJy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n",
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew=(cat['FErr_SPIRE_350_u']-cat['F_SPIRE_350'])/(cat['F_SPIRE_350']-cat['FErr_SPIRE_350_l'])\n",
    "skew.name='(84th-50th)/(50th-16th) percentile'\n",
    "g=sns.jointplot(x=np.log10(cat['F_SPIRE_350']),y=skew, kind='hex')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For 350 $\\mathrm{\\mu m}$ depth is ~ 6mJy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n",
      "/Users/Steven/anaconda/envs/herschelhelp_internal/lib/python3.6/site-packages/matplotlib/axes/_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew=(cat['FErr_SPIRE_500_u']-cat['F_SPIRE_500'])/(cat['F_SPIRE_500']-cat['FErr_SPIRE_500_l'])\n",
    "skew.name='(84th-50th)/(50th-16th) percentile'\n",
    "g=sns.jointplot(x=np.log10(cat['F_SPIRE_500']),y=skew, kind='hex')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For 500 $\\mathrm{\\mu m}$ depth is ~ 6mJy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add flag to catalogue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat.add_column(Column(np.zeros(len(cat), dtype=bool),name='flag_spire_250'))\n",
    "cat.add_column(Column(np.zeros(len(cat), dtype=bool),name='flag_spire_350'))\n",
    "cat.add_column(Column(np.zeros(len(cat), dtype=bool),name='flag_spire_500'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ind_250=(cat['Pval_res_250']>0.5) | (cat['F_SPIRE_250'] < 6)\n",
    "ind_350=(cat['Pval_res_350']>0.5) | (cat['F_SPIRE_350'] < 6)\n",
    "ind_500=(cat['Pval_res_500']>0.5) | (cat['F_SPIRE_500'] < 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5259 9165 10259 22743\n"
     ]
    }
   ],
   "source": [
    "print(ind_250.sum(),ind_350.sum(),ind_500.sum(),len(cat))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat['flag_spire_250'][ind_250]=True\n",
    "cat['flag_spire_350'][ind_350]=True\n",
    "cat['flag_spire_500'][ind_500]=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set XID+ cahtalogue back to orignal order of objects, as used in MF detection files\n",
    "use = cat['HELP_ID'].astype(int) -1\n",
    "use = np.argsort(use)\n",
    "cat = cat[use]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reads MF table, removes duplicate RA and DEC\n",
    "cat2=Table.read('./data/ELAIS-S1_SPIRE_all.fits')\n",
    "del cat2['RA']\n",
    "del cat2['Dec']\n",
    "cat_all = hstack([cat,cat2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Created HELP_ID, and changes HELP to HELP_BLIND to avoid confusion with HELP-Masterlist objects\n",
    "ID = gen_help_id(cat_all['RA'], cat_all['Dec'])\n",
    "ID_new = [IDs.replace('HELP','HELP_BLIND') for IDs in ID]\n",
    "ID_new = Column(ID_new,name=\"HELP_ID\")\n",
    "cat_all['HELP_ID'] = ID_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# all flux denisties are in mJy in the final BLIND catalogues\n",
    "cat_all['F_BLIND_MF_SPIRE_250'].unit = 'mJy'\n",
    "cat_all['F_BLIND_MF_SPIRE_250'] = 1000*cat_all['F_BLIND_MF_SPIRE_250']\n",
    "cat_all['FErr_BLIND_MF_SPIRE_250'].unit = 'mJy'\n",
    "cat_all['FErr_BLIND_MF_SPIRE_250'] = 1000*cat_all['FErr_BLIND_MF_SPIRE_250']\n",
    "\n",
    "cat_all['F_BLIND_MF_SPIRE_350'].unit = 'mJy'\n",
    "cat_all['F_BLIND_MF_SPIRE_350'] = 1000*cat_all['F_BLIND_MF_SPIRE_350']\n",
    "cat_all['FErr_BLIND_MF_SPIRE_350'].unit = 'mJy'\n",
    "cat_all['FErr_BLIND_MF_SPIRE_350'] = 1000*cat_all['FErr_BLIND_MF_SPIRE_350']\n",
    "\n",
    "cat_all['F_BLIND_MF_SPIRE_500'].unit = 'mJy'\n",
    "cat_all['F_BLIND_MF_SPIRE_500'] = 1000*cat_all['F_BLIND_MF_SPIRE_500']\n",
    "cat_all['FErr_BLIND_MF_SPIRE_500'].unit = 'mJy'\n",
    "cat_all['FErr_BLIND_MF_SPIRE_500'] = 1000*cat_all['FErr_BLIND_MF_SPIRE_500']\n",
    "\n",
    "cat_all['F_BLIND_pix_SPIRE'].unit = 'mJy'\n",
    "cat_all['F_BLIND_pix_SPIRE'] = 1000*cat_all['F_BLIND_pix_SPIRE']\n",
    "cat_all['FErr_BLIND_pix_SPIRE'].unit = 'mJy'\n",
    "cat_all['FErr_BLIND_pix_SPIRE'] = 1000*cat_all['FErr_BLIND_pix_SPIRE']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# XID+ flux density vs. MF flux densities\n",
    "plt.hexbin(cat_all['F_SPIRE_250'],cat_all['F_BLIND_MF_SPIRE_250'], cmap=plt.cm.Blues,gridsize=(100,100))\n",
    "plt.plot([0,100],[0,100], color = 'red')\n",
    "plt.xlim(0,100)\n",
    "plt.ylim(0,100)\n",
    "plt.xlabel('F_SPIRE_250')\n",
    "plt.ylabel('F_BLIND_MF_SPIRE_250')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add field name\n",
    "cat_all.add_column(Column(['ELAIS-S1']*len(cat_all),name='field'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: UnitsWarning: 'mJy/Beam' did not parse as fits unit: At col 4, Unit 'Beam' not supported by the FITS standard. Did you mean beam? [astropy.units.core]\n"
     ]
    }
   ],
   "source": [
    "cat_all.write('./data/dmu22_XID+SPIRE_ELAIS-S1_BLIND_Matched_MF.fits', format='fits',overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "*This is a default HELP jupyter notebook *\n",
    "\n",
    " ![HELP LOGO](https://avatars1.githubusercontent.com/u/7880370?s=75&v=4)\n",
    "\n",
    "**Authors**: S. Duivenvoorden\n",
    "\n",
    " \n",
    "For a full description of the database and how it is organised in to `dmu_products` please the top level [readme](../readme.md).\n",
    " \n",
    "The Herschel Extragalactic Legacy Project, ([HELP](http://herschel.sussex.ac.uk/)), is a [European Commission Research Executive Agency](https://ec.europa.eu/info/departments/research-executive-agency_en)\n",
    "funded project under the SP1-Cooperation, Collaborative project, Small or medium-scale focused research project, FP7-SPACE-2013-1 scheme, Grant Agreement\n",
    "Number 607254.\n",
    "\n",
    "[Acknowledgements](http://herschel.sussex.ac.uk/acknowledgements)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
