{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final Processing\n",
    "The final processing stage requires:\n",
    "1. Quick validation of catalogues and Bayesian Pvalue maps\n",
    "2. Skewness level\n",
    "3. Adding flag to catalogue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "from astropy.table import Table\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pylab as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: UnitsWarning: 'degrees' did not parse as fits unit: At col 0, Unit 'degrees' not supported by the FITS standard.  [astropy.units.core]\n",
      "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": [
    "SERVS_cat=Table.read('../data/ELAIS_N1/PACS/dmu26_XID+PACS_ELAIS-N1_SERVS_cat_20170801.fits')\n",
    "SWIRE_cat=Table.read('../data/ELAIS_N1/PACS/dmu26_XID+PACS_ELAIS-N1_SWIRE_cat_20170808.fits')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<Table length=10>\n",
       "<table id=\"table4575324872\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>help_id</th><th>RA</th><th>Dec</th><th>F_PACS_100</th><th>FErr_PACS_100_u</th><th>FErr_PACS_100_l</th><th>F_PACS_160</th><th>FErr_PACS_160_u</th><th>FErr_PACS_160_l</th><th>Bkg_PACS_100</th><th>Bkg_PACS_160</th><th>Sig_conf_PACS_100</th><th>Sig_conf_PACS_160</th><th>Rhat_PACS_100</th><th>Rhat_PACS_160</th><th>n_eff_PACS_100</th><th>n_eff_PACS_160</th><th>Pval_res_100</th><th>Pval_res_160</th></tr></thead>\n",
       "<thead><tr><th></th><th>degrees</th><th>degrees</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></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>str27</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></tr></thead>\n",
       "<tr><td>HELP_J161008.641+533615.951</td><td>242.536005913</td><td>53.6044309555</td><td>7.01074</td><td>14.0252</td><td>2.18478</td><td>10.9219</td><td>21.7225</td><td>3.56813</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.999096</td><td>0.998866</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161002.817+533625.213</td><td>242.511735883</td><td>53.6070036615</td><td>6.1809</td><td>13.8533</td><td>2.00791</td><td>4.25353</td><td>10.4538</td><td>1.05381</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>1.00092</td><td>0.998338</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161009.708+533610.215</td><td>242.540451147</td><td>53.6028373869</td><td>5.76325</td><td>12.2582</td><td>1.856</td><td>12.509</td><td>24.4277</td><td>4.29031</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.998442</td><td>1.00071</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161000.625+533444.663</td><td>242.50260411</td><td>53.5790731835</td><td>5.39088</td><td>11.4476</td><td>1.68745</td><td>18.3196</td><td>30.9601</td><td>7.32784</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.999324</td><td>1.00043</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161001.356+533536.905</td><td>242.50564932</td><td>53.5935847165</td><td>11.8158</td><td>20.7236</td><td>4.38242</td><td>6.00817</td><td>13.6223</td><td>1.7725</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>1.00104</td><td>0.998621</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161004.821+533526.090</td><td>242.520085665</td><td>53.5905806855</td><td>4.17299</td><td>9.42867</td><td>1.18958</td><td>19.2817</td><td>31.2408</td><td>8.18757</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.999042</td><td>1.00123</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161009.666+533550.864</td><td>242.540275318</td><td>53.5974621925</td><td>6.95301</td><td>14.0691</td><td>2.27669</td><td>11.5124</td><td>22.4518</td><td>3.62555</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>1.0004</td><td>1.00156</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161004.741+533640.873</td><td>242.519754128</td><td>53.6113536495</td><td>5.14638</td><td>11.6493</td><td>1.41308</td><td>5.0702</td><td>12.3191</td><td>1.3775</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.998579</td><td>0.998787</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161005.189+533632.271</td><td>242.52161917</td><td>53.6089641562</td><td>5.7368</td><td>12.9626</td><td>1.75429</td><td>5.31751</td><td>11.8855</td><td>1.33762</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>1.00202</td><td>1.00086</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161001.294+533558.395</td><td>242.505392806</td><td>53.5995542015</td><td>3.82004</td><td>8.80922</td><td>1.03879</td><td>12.6657</td><td>23.1176</td><td>4.57132</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.998571</td><td>0.999007</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=10>\n",
       "          help_id                 RA      ... Pval_res_100 Pval_res_160\n",
       "                               degrees    ...                          \n",
       "           str27               float64    ...   float32      float32   \n",
       "--------------------------- ------------- ... ------------ ------------\n",
       "HELP_J161008.641+533615.951 242.536005913 ...          0.0          0.0\n",
       "HELP_J161002.817+533625.213 242.511735883 ...          0.0          0.0\n",
       "HELP_J161009.708+533610.215 242.540451147 ...          0.0          0.0\n",
       "HELP_J161000.625+533444.663  242.50260411 ...          0.0          0.0\n",
       "HELP_J161001.356+533536.905  242.50564932 ...          0.0          0.0\n",
       "HELP_J161004.821+533526.090 242.520085665 ...          0.0          0.0\n",
       "HELP_J161009.666+533550.864 242.540275318 ...          0.0          0.0\n",
       "HELP_J161004.741+533640.873 242.519754128 ...          0.0          0.0\n",
       "HELP_J161005.189+533632.271  242.52161917 ...          0.0          0.0\n",
       "HELP_J161001.294+533558.395 242.505392806 ...          0.0          0.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SERVS_cat[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "&lt;Table length=120282&gt;\n",
       "<table id=\"table4595786976\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>help_id</th><th>RA</th><th>Dec</th><th>F_PACS_100</th><th>FErr_PACS_100_u</th><th>FErr_PACS_100_l</th><th>F_PACS_160</th><th>FErr_PACS_160_u</th><th>FErr_PACS_160_l</th><th>Bkg_PACS_100</th><th>Bkg_PACS_160</th><th>Sig_conf_PACS_100</th><th>Sig_conf_PACS_160</th><th>Rhat_PACS_100</th><th>Rhat_PACS_160</th><th>n_eff_PACS_100</th><th>n_eff_PACS_160</th><th>Pval_res_100</th><th>Pval_res_160</th></tr></thead>\n",
       "<thead><tr><th></th><th>degrees</th><th>degrees</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></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<thead><tr><th>str27</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></tr></thead>\n",
       "<tr><td>HELP_J161008.641+533615.951</td><td>242.536005913</td><td>53.6044309555</td><td>7.01074</td><td>14.0252</td><td>2.18478</td><td>10.9219</td><td>21.7225</td><td>3.56813</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.999096</td><td>0.998866</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161002.817+533625.213</td><td>242.511735883</td><td>53.6070036615</td><td>6.1809</td><td>13.8533</td><td>2.00791</td><td>4.25353</td><td>10.4538</td><td>1.05381</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>1.00092</td><td>0.998338</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161009.708+533610.215</td><td>242.540451147</td><td>53.6028373869</td><td>5.76325</td><td>12.2582</td><td>1.856</td><td>12.509</td><td>24.4277</td><td>4.29031</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.998442</td><td>1.00071</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161000.625+533444.663</td><td>242.50260411</td><td>53.5790731835</td><td>5.39088</td><td>11.4476</td><td>1.68745</td><td>18.3196</td><td>30.9601</td><td>7.32784</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.999324</td><td>1.00043</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161001.356+533536.905</td><td>242.50564932</td><td>53.5935847165</td><td>11.8158</td><td>20.7236</td><td>4.38242</td><td>6.00817</td><td>13.6223</td><td>1.7725</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>1.00104</td><td>0.998621</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161004.821+533526.090</td><td>242.520085665</td><td>53.5905806855</td><td>4.17299</td><td>9.42867</td><td>1.18958</td><td>19.2817</td><td>31.2408</td><td>8.18757</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.999042</td><td>1.00123</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161009.666+533550.864</td><td>242.540275318</td><td>53.5974621925</td><td>6.95301</td><td>14.0691</td><td>2.27669</td><td>11.5124</td><td>22.4518</td><td>3.62555</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>1.0004</td><td>1.00156</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161004.741+533640.873</td><td>242.519754128</td><td>53.6113536495</td><td>5.14638</td><td>11.6493</td><td>1.41308</td><td>5.0702</td><td>12.3191</td><td>1.3775</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>0.998579</td><td>0.998787</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J161005.189+533632.271</td><td>242.52161917</td><td>53.6089641562</td><td>5.7368</td><td>12.9626</td><td>1.75429</td><td>5.31751</td><td>11.8855</td><td>1.33762</td><td>0.00057904</td><td>0.000651642</td><td>1.45101e-05</td><td>2.32569e-05</td><td>1.00202</td><td>1.00086</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
       "<tr><td>HELP_J160406.305+545846.819</td><td>241.026270695</td><td>54.9796718435</td><td>9.15321</td><td>17.6664</td><td>3.0547</td><td>15.4821</td><td>28.622</td><td>5.3341</td><td>0.000518699</td><td>0.0004204</td><td>1.71021e-05</td><td>3.06286e-05</td><td>0.998943</td><td>0.999093</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J160409.750+545809.834</td><td>241.040625347</td><td>54.9693984185</td><td>18.8517</td><td>29.7456</td><td>9.09247</td><td>7.69889</td><td>16.2067</td><td>2.46765</td><td>0.000518699</td><td>0.0004204</td><td>1.71021e-05</td><td>3.06286e-05</td><td>0.998642</td><td>0.998802</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J160413.547+545916.745</td><td>241.056445218</td><td>54.9879848035</td><td>8.45625</td><td>16.4497</td><td>2.56493</td><td>22.7011</td><td>36.9824</td><td>10.6759</td><td>0.000518699</td><td>0.0004204</td><td>1.71021e-05</td><td>3.06286e-05</td><td>1.00055</td><td>1.0027</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J160412.307+545949.243</td><td>241.051279635</td><td>54.9970118665</td><td>9.25589</td><td>18.1067</td><td>2.88514</td><td>8.85538</td><td>19.8658</td><td>2.42975</td><td>0.000518699</td><td>0.0004204</td><td>1.71021e-05</td><td>3.06286e-05</td><td>0.999</td><td>0.998704</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J160411.491+545832.748</td><td>241.047879066</td><td>54.9757633591</td><td>3.72659</td><td>8.96988</td><td>0.826724</td><td>9.94709</td><td>20.3254</td><td>2.89042</td><td>0.000518699</td><td>0.0004204</td><td>1.71021e-05</td><td>3.06286e-05</td><td>0.999938</td><td>1.00124</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J160412.650+550019.017</td><td>241.052707165</td><td>55.0052825745</td><td>13.2285</td><td>23.8997</td><td>4.97784</td><td>11.51</td><td>24.6991</td><td>3.54972</td><td>0.000518699</td><td>0.0004204</td><td>1.71021e-05</td><td>3.06286e-05</td><td>1.00036</td><td>0.998934</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J160410.177+545836.290</td><td>241.042403828</td><td>54.9767472665</td><td>7.78896</td><td>16.0824</td><td>2.2345</td><td>10.3895</td><td>21.5028</td><td>3.34645</td><td>0.000518699</td><td>0.0004204</td><td>1.71021e-05</td><td>3.06286e-05</td><td>0.999818</td><td>1.00003</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J160411.126+545912.581</td><td>241.046356302</td><td>54.9868279755</td><td>15.7637</td><td>25.8983</td><td>6.84492</td><td>10.2941</td><td>22.1952</td><td>3.01343</td><td>0.000518699</td><td>0.0004204</td><td>1.71021e-05</td><td>3.06286e-05</td><td>1.00245</td><td>0.999092</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J160414.675+545900.559</td><td>241.061147349</td><td>54.9834884925</td><td>10.8378</td><td>19.8644</td><td>3.93748</td><td>5.73741</td><td>13.5186</td><td>1.45827</td><td>0.000518699</td><td>0.0004204</td><td>1.71021e-05</td><td>3.06286e-05</td><td>1.00188</td><td>0.998948</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "<tr><td>HELP_J160413.502+545846.783</td><td>241.056256979</td><td>54.9796618495</td><td>8.36023</td><td>17.0432</td><td>2.47198</td><td>8.25595</td><td>17.5633</td><td>2.19451</td><td>0.000518699</td><td>0.0004204</td><td>1.71021e-05</td><td>3.06286e-05</td><td>1.00748</td><td>1.00128</td><td>2000.0</td><td>2000.0</td><td>0.0</td><td>0.0</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=120282>\n",
       "          help_id                 RA      ... Pval_res_100 Pval_res_160\n",
       "                               degrees    ...                          \n",
       "           str27               float64    ...   float32      float32   \n",
       "--------------------------- ------------- ... ------------ ------------\n",
       "HELP_J161008.641+533615.951 242.536005913 ...          0.0          0.0\n",
       "HELP_J161002.817+533625.213 242.511735883 ...          0.0          0.0\n",
       "HELP_J161009.708+533610.215 242.540451147 ...          0.0          0.0\n",
       "HELP_J161000.625+533444.663  242.50260411 ...          0.0          0.0\n",
       "HELP_J161001.356+533536.905  242.50564932 ...          0.0          0.0\n",
       "HELP_J161004.821+533526.090 242.520085665 ...          0.0          0.0\n",
       "HELP_J161009.666+533550.864 242.540275318 ...          0.0          0.0\n",
       "HELP_J161004.741+533640.873 242.519754128 ...          0.0          0.0\n",
       "HELP_J161005.189+533632.271  242.52161917 ...          0.0          0.0\n",
       "                        ...           ... ...          ...          ...\n",
       "HELP_J160406.305+545846.819 241.026270695 ...          0.0          0.0\n",
       "HELP_J160409.750+545809.834 241.040625347 ...          0.0          0.0\n",
       "HELP_J160413.547+545916.745 241.056445218 ...          0.0          0.0\n",
       "HELP_J160412.307+545949.243 241.051279635 ...          0.0          0.0\n",
       "HELP_J160411.491+545832.748 241.047879066 ...          0.0          0.0\n",
       "HELP_J160412.650+550019.017 241.052707165 ...          0.0          0.0\n",
       "HELP_J160410.177+545836.290 241.042403828 ...          0.0          0.0\n",
       "HELP_J160411.126+545912.581 241.046356302 ...          0.0          0.0\n",
       "HELP_J160414.675+545900.559 241.061147349 ...          0.0          0.0\n",
       "HELP_J160413.502+545846.783 241.056256979 ...          0.0          0.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SERVS_cat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Look at Symmetry of PDFs to determine depth level of catalogue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VQYQQwioSuMLivRmfPXM8g4HgUI3CWLVjKujoSZwpGE8wyLAAsnzxDPyBIDuaWuno8VKX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\nAsUClzHGmED5f3Fxkgr4nNLpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1114736d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew=(SERVS_cat['FErr_PACS_100_u']-SERVS_cat['F_PACS_100'])/(SERVS_cat['F_PACS_100']-SERVS_cat['FErr_PACS_100_l'])\n",
    "skew.name='(84th-50th)/(50th-16th) percentile'\n",
    "g=sns.jointplot(x=np.log10(SERVS_cat['F_PACS_100']),y=skew, kind='scatter')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For 100 $\\mathrm{\\mu m}$ depth is ~ 4mJy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GU3Mb7d2+JM8WuRKNwo+f3sxJavLgMqDR7NgjhXpLliwPCzPSBi6t9TUASql6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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f6965f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew=(SERVS_cat['FErr_PACS_160_u']-SERVS_cat['F_PACS_160'])/(SERVS_cat['F_PACS_160']-SERVS_cat['FErr_PACS_160_l'])\n",
    "skew.name='(84th-50th)/(50th-16th) percentile'\n",
    "g=sns.jointplot(x=np.log10(SERVS_cat['F_PACS_160']),y=skew, kind='scatter')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For 160 $\\mathrm{\\mu m}$ depth is ~ 4mJy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0d/YRaKiiubk76/dIPj/7Z+ZHwyg/hxOVymcZy+fIJsD0GIw2lMrPz4idAHVQ\nKbVAa53chGcakLHOxuCc0p+AW7TWT6Udfh1YqJSqA4Ikhve+baMtOeP3eoYyuUKRKL39EpyKUXI9\nksftGtpKpbZK1imJiSO97FEpZfXZCVBeYKdS6s8k5pEuAo4qpZ4G0FqvNnne7SS2iP+SUio5F3Uf\nMElrfa9S6h+AJ0gMG96vtS5YcanOYEiqmxeZuiofy9XUoS0vklupFPt+TbLnlBAn2AlQd6XdttXT\n0VrfCtxqcfwx4DE7r5Vvkyv91Fb5aJMgVRTOO20qH37nqSNO4Km94mIje04JMZKdYrGbxqMhheT3\nephULgGqWKy98JSsehfJXknV5PI8tmpsZM8pIUZyTlpSAckcVPFwu6Cy3LiiefrwWHqvpKG2nKXz\n64d6JU4ZTnPi9vZCOIEEKKTCRDGJxRlRashseCwej/PUthNTm8fb+9iw9RDxeByXy+WY4TQnbW8v\nhJPY2W7jFODdwEIgBuwDHtNav5Xnto0bq9I2wlnqq/0jSg2ZDY8FfMa9judfOUZ/ODri8ZDb4TS7\nPTQprSRyqZSy+kwDlFJqBok6fCcDz5MITBHgFOC3Sqk3gc9qrY33JCgifq+HpfPrh+1BJJxpyby6\nYSd7q+Gx1CBk5/5cDadlm/CQrHBitL2HlFYSE5lVD+obwN1a69eMDiqlzgS+TpHuC5VuzcqTJEAV\ngZVq6rDbuRyeHe1wWnpPaTQJD8k1W7KWS4gTTAOU1vrDVk/UWu+kRIITJCoS1Mswn6O5XXDytOEr\nzq2GxwI+j2FvKeBz0x8euZVytsNpRj2lpfPr2bW/1fDxVj20UlrLJUSu2JmDmgd8nMQ+UENFYrXW\nN+WxXQWxaE4Nm3e/XehmCBMVgbIR+zBZDY9dcMZ03K4TFSam1CSy+GLxOE9vG7kuPNvhNKOeklUv\n3E4PrZjXcgmRa3ay+B4msR/UsxTpRoVWZAv44uFxu2jt7CMaiw/rYVgNj3nc7qFeyfy59XR39hGN\nxYYFrtEMp41m80tJeBCFkJ40kVQMyRN2ApRLa31b3ltSIOlXwcK5Onsi3PajzQDUVnpZsXiarVJH\nyV5JwFdGN6MbTkufZxrN3NfS+XWOHLZzynowIdLZCVAvKKWuBv5Haz1y4L6IyRbwxas9GGHD1kPE\n4nE+dIUCshses3tSNsvIu+riU7JemrBm5Um2HzsepLyScDqrNPMYiSE9F4kddeNKKQZvx7XWRX+p\nJQt0i9/8FJplAAAgAElEQVSmxsO855L5VPjtrTnP9qRslZFnNvdlpL46QF11wNZjx4uUVxJOZ5XF\nZ3oJpZQqiYF0WaBb/KIx+OUTmpv/Zomtx2dzUu4NDfDcLuOkh8amFu7+6DlD/07OZVUEyjh4PDji\n8U5bz5SP8koyVChyzU4W32at9fkpt93AVuCMfDZsPFhlgInisedAO6FINONJsT88kNVJ+ddPNhmm\no0MiIy/YGx4xl1XmcQ320Jy9nimX5ZVkqFDki9UQ39PApYP/Tv0tHQAezW+zxs9VF5/Cc7uOmlYX\nEM7XEQwPnVCtruLbu+yflEORKHsOtJu+Z03liZJL6XNfxbCeKZfllWSosDgVQ3af1RDfagCl1PcH\n93YqScHeCCEJTkXNBfi8HtZvaLK8iq+ttn9SzjQ/ufjkWsvA4/T1TLkqrySV2EU+WQ7xKaWuZHDD\nQqXUDcA5wFat9c/y37TxIfNQxS8O/Mv6Ro629Q7dZ3QVH/CVmZ6UF8+pGXY7U4WKdVcszOEnyI1s\n54ByUV5JKrGLfLIa4vsesAy4Vin1zySC0yPAe5RSy7XWfz9ObcwrmYcqDanBKVX6VXz6Sdnn9QBx\nnt99jNffamPxyXWsu2IhFX6v6ffioqUzqPAb70lVCKOdA8pFeSWpxC7yyaoH9Q7gDK11VCn1buA8\nrXVIKXUvsHt8mjc+Rl5J+unsCTMQLbnCGRNO+lV86kn5gSc0L+w+NvTYtu4wL+w+xvamZi5aOoP3\nXjoPGN7DWDq/jsuWzbKVlDFexjoHNJbhSKnELvLJKkD1AlOBo8DbwCQgNPj3QP6bNn6MriTLPC4e\neGIPL+x+WwJVEautClDuL+N4e++ILd+1SRJEfzg67AR/zar5tHX1s2HbIXbta+GZxiOOyVRzwhyQ\nVGIX+WIVoO4GtiilfgPsATYppTYAVwLfGo/Gjbf0K8kb33ka8Rg8+8oxi2cJJ6sIlPGVn22hrSvE\nlJoAC2fXsO6KhQR7IxkXaaee4Dc2Hmbj9hNZT07JVMt2Digfa5WkEntpMcvug/HP8LPK4ntMKbUb\nuBpYAGwGuoEbtdYvj1P7CioUifLy68cL3QwxShX+4Ytmmzv6ae5IDOGdf/p0aiq9tAcjps9v6+of\nOuGa91KaC5qpZncOaDzWKjk9c1EUH8ssPq31X4DvjFNbHKe5o4/QQEmVH5xQekPGI9H94Sgbtx9m\nRl0FiU2ijU2u9DG50k9nMGSa5dnaFSpopprdOSBZqySKkSzzthKXuadSFooM4Pea/wosW5g4wZf7\ny3C7jB/jdkG5zTqA+XLt6gVcvmIWAd+JXlzA5yYWjxONxSznqbbuOU53b3i8mipEVqzSzI8A0wwO\nlUyx2Ewaaivwe12EIhKoSlFHMMz5S6bz/O6Rc4yV5WVce3likr8vNEDM5CsQiyeOp2+kOJ48bjcu\nl2tYNZT+cIyntx0mHoeVixpM56k6gmG+fP8WViwufMKHEOmsLv3OBp4GrtZavzZO7XEUv9fDeUum\ns2nH0UI3ReRB9SQf11w6nwPHgyMKvAb7BnjomTdYt2ZRYp6nykdb98ieRl2Vv+Brfax6SJsGkzvc\nLvMBgfagDPcJZzK9XNJaHwY+QyKbb8J6x9lzCt0EkScdwTD3/HwLzR19hscbm1qG1jstV1MNH7Nc\nNRQ8Y80qky/Z8zPrAaZKfl4hzDyz47Dhn3zJlCTxOPB43t69CFSWe3G77P2Ci+Jj1CtKSk3TdvJa\nn2zKdblIlIYyIqWJhNNkNburlLpZa31vvhrjRFbzD6K0paZpJ9f6rL1gLn850kVVhZeZDZWOmLPJ\nplxXHKiu8NLVOzJ7UUoTCafJNv3oE8CEClCTK/3UVProCEqm00RTESijzJNI34vGYvz6qb288MrR\noT2iAj4PF54xnQ9cvjAvgSqbRbWpPby27n5cGPf666sDLF1QP2zRcZKUJhJOk22AMkm2LV3Jq1Oj\nX2hR2g4eD/Lg0/tYt2YRDz69j6e3Df8O9IejPLXtMC6XK6fJBamLalu7QtRU+li2cArrrlhkGgjT\nqzk88fIBNjaO3A04OSzpcbscOVwpRKpsA9R/5qUVDrduzUL2HuzgUHNPoZsixlljUwtrL5jLdm1e\nUWR7UzOXLJ0xuCzhRA/EqgdkdSx9UW1HMMzGxiPsO9zFnTeutGxvsprDuisW4fG4DYOQlCYSuWaU\nKJGLskh2tnz3AmuAKUDf4L5QaK1/MeZ3LxID0TifvOp0fvD7XRxrNc74Es7XUFvO0nl1xIEdTS20\ndWdOKmjv7ufQ8aBlMkVbV4g7799CXZWPxSfX8YHL5/Po82+xXR+nrTtMXZWP5WrqUA/FquSQVcr4\nweNB1m/Yyz980DpIgb36eGMpTZSPmn5CpLPTg/odMAN4nRMJQHGg5ANUev2y2ioflYEygv0lVcy9\n5C1f1MBfnzeHiko/bx/v5pSZk3nfpQv45RPacJFuqtoqPy/tedsy+y0puV3HS68dIxobfv+GrYeI\nxeO4XS7LkkNWZZUAtunjdAbtb66Z6/p441HTT4gkOwFqsdZ6cd5b4kDpQy3Jq+jZDZMI9kbo6JHE\niWKwvamZ7Wm9ktlTJ/GFDy2nPFBGY1MLrV39hs+tCHj5c5YLtaMm5Ruf33WUynLjjQ6TldMzJeV0\n9UT4+3/dyPI8BwWzHpLU9BPjyU6A2q+UmqO1PpD31jiI1VBLXyjK3R89h2BfhD++/BbP7TomZfuK\nzKHjPdzzs23c+ZGzuWbVfI619fLESwfYe6iD9u5QYnPCBfXs3Gv8HRiNUCRGKJJ5a4xlC6cYJjgk\ntQ0GhWg0xpXnzMnpMJtVD2kgGre195QM/4lcsarFt5HEqMZU4BWl1E5SNirUWq/Of/MKJ9M+O32h\nAWbUT8LvLZPgVKSOtvXyhf/aTFWFj56+MO3dYWqrfJy3ZPrQnlHPjFP2ZuoapHVXLGLf4a4R5ZfS\nbdpxJOebJ1r1kNasmG35O9HW1c/GxsMjgttVF59CsDciAUtkzaoH9eXxaoQT2dlnJxSJsvV12cyw\nmHUEw8OG05LzSBWBMq5ZNd92hYaxSl2D5HG7ufPGlazfsJdt+jhdPcZbgiTXOeVqmC3T7rzvOu9k\n/D730DqwVLVVATZsO2S4qeNzu44SCkdlvmqCSc/sG01Wn1Utvk1a603Ae5P/Trnvpqzfqcgk1z8Z\nSZ5MOoMhOnokYaIUNTa1AJh+B3KlvtrPmpWzR6xB8rjdXP8OxT9/9FxqKu1VSh9rLb1MowYPPbPf\nMDgBLJ1fx659LYbH+sNR4pwIWA8+vW/UbRQTi9UQ34+BecBKpdSStOfU5LthTpCp/trkSj81k8ok\nSJWg5JzQyO+An2BfhFAkNxtZ3vKeMzh5ejWhSJTWzt4Rw2BVFT5WLp5qq4zRWGvpWY8a+NnzVpvh\n8wI+D5ecNZNnLObNUj236yhXXTyPigLvoyWcz+obcg8wF/g+wyuaD5BIOS95mdaS+L0eVp463dbJ\nQxSX5DBu6negraufDVsPsvnVt3P2Ppt2HqFs9zHLtO1hZYy6+nG5IWYQH8daS8+qpt/iObW8YJKS\nH45E8bjdtodD+8NRfv1kEx9992mjbquYGEwDlNb6TaXUAeAWYBYQA44AW7XW+R+UdxCrtSTXrl5A\nZ2+ILa/lLttLFF56XTq/18PGxsOG2XUBn4dzTpvKzr0tdBrMF/m9btMe14uvvj1so0Gj+aT0C6U/\nv3KMx194M2ObR8Ns1OCqi+ex50C76ZxsQ0257YK1AHsOtMvWHiIjqyG+C4CfA28CyUunGcBCpdRN\nWuun8t885/O43dz0ztPYd/BF2m1UJhDO4wJ8XjfhSIzaKj+LT67lqotPGToeikRp7ugzLXdU4few\nZsVJeFwu4/p3qoEXdxv3ulKDU6rUtO2k5IXSzVedQTg8kJdaelajBmYBKBkY04NbWVniZ2qkvTtE\nZzDE7DG3WJQyqyG+e4F3aa33pt6plFoA/DdwRj4bVkz8Xg8BSZ8tWnESa5Sm15YTicbYvPsY+kA7\nZy2cQhzYubeFtq6QaSWJtu4wd/3kZeqq/Zw0tZKevggdwcRaqjMX1hMbxX4tbd39NHf0MbuhcsS6\nIo8n/7X0jEYNMs3JDkTjrFkxm7UXzKUvNIDP6+H2e180DMKytcfEk5rVZzejzypAedKD06A3mIBV\nza2EIlH6w8apwKJ4HGs/UWextSvEU9vsr4FKZqm1doU4b8k03nXuHBpqK3h4036ebsx+LVU8Dt99\nsJHKCj+9/ZFh81O3vH8ZkPsyRpmY9a6isRjrNzQZzqNdtHSGZa9LCCtWAeoPSqnHgN8AyVov04EP\nMsF32U3XGQzREZQAJRJefPVt9h7sYOmCKWOqRNEejNCe8r1Kzk9VlPu46sK5OWjp6KQHRrPFvfF4\nnDjg97oIRU70IgM+N/F4nKhRpocQKaySJG5TSl0D/DUwk0Sv6TDwU631Q+PUvqKQzZbbYmJo7QrZ\n3kPM73UzqdxrugYp3Yu7j/LOc05yRA/EanHv868cMxze6w/HhvbRuvW6FYavKaWSBGSoxae1fhh4\neHDLjVOBsNZ6z7i0rIj4vR4Wz6nNWBlblAa/z03IZMFqOrfLeGfbVBefOZNLls7gzvu32HrNlo6+\nMa13Gqvu3jCHjgeZPbWSvtCAaWA1SwBJamxqoT98Yg2hVEoX6ayy+P5Pa/1OpdTpwCNAN+BWSrmB\n67TWu8erkcXguisWsa3puOlKe1FCsii+aBWcAj4PF5wxnfdeOo8Hn95vK5gBTKkpt5VgkOueSHhg\ngK/+YjuHm4PE4ongO3PKJGqrfJb7ZZlp7+6nvSs0dBKSSukTxzM7DttKlLDqQU0b/Pt7wKe01v8H\noJRaBfwEOHesjSwlFf4yLlo6UxbtTgCp8ymZ1Ff7WTq/nl3722jv7qem0s+iOTVcec5JTK+bhN/r\nYf2GJtvDgQDnnT7DMuDkoycSikT5yk+3crStd+i+WBwONfdQWW58GgmY1O1Lqq0KUFvtp7uzL2Md\nwPSUezEx2Kk1MjkZnCBRo08pZWtsQSl1LvBNrfWlafd/BvhbIPmN/LjWWttrsnNdu3oB0WiMxr0t\ndAbDTLbY10dMDEsXTOH6dyjT3ozViTkp4Euu0Uqkdd+0dgltbT0jHpd8jydePjBsPdZYeiLJYJfc\nHdhIb/8Al5w1g1ffaB+Wfh6Lx3naIhNy2aIpBHxldJO5DmAhhzRF4VgFqAVKqR8BIaXUx7TW9yml\naoGPciKrz5RS6vPA9cDI3yRYAdygtd42mkY7UfIXedf+VjqDYeqqA5w+r45X9reMavhDFJ+TplbS\n2x+htSs0NFy3c28zHreLa1cvMDzBNnf0ZUyOiMfhSzeuHOpxeTzDe0HpPSaXySKQ0fRE0ofdjMTi\ncO7iaVx3+aIR6edul4vtupm27hM/k/pqP0sXTOGyZbPoDw8QikQJ9keonuQ1rMQha6YmLqsAtQQ4\nG+ggUUECEinm5wI32njt/cB7gAcMjq0AvqCUmg78r9b665lerLa2grIy53bx73vklbTx83427TjC\nvJnVEqBKlHuwJl5DTYDzz5jJTWuXcO8jr/D4C28OzSUlt3uvKPfxsatOrG2PRmPc/9irbH7lSMat\n5EORGM+98jafvm750H0NDVVD/07/7plNkbV39+PxeWmYMmnEsf7wAO1dIWqr/QR8ZUP37TSpUJ7K\n7YYzT53O5Er/iMoQt163Yui1KwJldPeGeezZN9j6+tts3H6YgM9NZCBO1GLy7cIzZzJ7pvPrU6f+\nn+TLpAof7hJJGLHz87IKUM1a698Dv0/eobX+d+Dfk7eVUgGtteFe2Vrrh5VSc01e+zfAD4Eu4L+V\nUu/WWv/BqqHt7b1WhwsqFIny/E7joYzOYIhLzpqR9bbhwvmSy3hOn1fPO885iV36bV58xbii9/M7\njwxLDV+/oSmr+cpGfZxDRzrwez00NFTR3NwNWH/30tVWBYiGI0PPBfP5qvdeOo8H/thEc4fhr/cw\ns6ZUEu4L09x34kIsfUizDAj3hXn4qeGf22qOqr46MVS49vw5w9rsRKn/J6N5rl09vaVzsZv68zL7\nGVgFqF8ppf4I/EZrPewnr5SqAm4A1gBXZ9MopZQL+J7WunPw9v8CywDLAOVk1uPnIc5dPE0CVAnb\nvPsYu/ZZl0NKnUexM++UriMYMpyHsfrupTOq3mCWOacPdGTc0dcFzGyYxBdvONGzS1SV2MuOphY6\ngva3jE9XU+njzhtXUlVhby8sUZqsAtT7gE8CW5RSHcAhElttzAXqSWzD8b5RvGc1sFspdSqJ+anV\nwP2jeB3HyLT77uypldTLQt6S1R+OZlzzUz3JR/ng/kfZBJUks3kYq++e25UY7qurNi4maxUoDzdb\nBydvmZuBgRj9oQEeeuaNodf+ys+2DgtsdreMT9fZE6YvNCABaoKzqiQRIzEM90Ol1JnAQhJbbuzX\nWu/M9o2UUuuASq31vUqp24GNQAh4Smtd1KWTrPbRWbZoClUVvqy2IhClpyMY5is/28KyRQ2svfAU\n063TzZjVrrP67q1aNosrzz7JdB2UVaDMtB4rMpBoe2oAikZjpr2uxqYW1l4w13bFlboqvyRGCMuF\nus8De4H/A/40mqCktX4TOG/w3+tT7n8A4+SJopVe6XlKTTlL59cP3X/t6gXE4nFeMCn/Ikpf6vCZ\n3eDkdsGshkree+k808dYVRm3WveUqfdlFKTM7m9samYgav6Z2rr76QsN2L5QW7aoQdY9Ccse1IWD\nW2u8E/iFUqoceAb4v1JKD8+V9ErP8+fW093ZN+y42+WS4FRCait99JkM77lc4PW4CQ+MPGlnGj5L\nFYvDweNBHnrmDdM1TJl2fjbj93o4c+EUw7VKMxsmcej4yBUiZj2rtu6QZYGNmkmJHlH67sB+n5vI\nQIxkbAv4PFx4xvSc7G0lil+mWnz7gB8AP1BKBYBLgRuUUt/XWl80Du0rOslKz8kFiEmjmRgXznbG\n/Hr+crTbcFgrHscwOIG9ckbp7KxhMtt+w2qRcH/I+IJp4ezJLJ5TO6xXtnRBPTv3Nhsum6ir8hOP\nx02XVJyVMkSZfiHX0hKkub0XXC4aasql5ySGZKwkoZQ6BXg3J+ag9gLfyXO7Ss5oJsaFs7306tuE\nTIKQFbs191K1dfXzxuFO5s2abPs5VinkDz3zhmV1iF372rjnY+eO6JV53C6TudYGAMNjJ02tZN2a\nhcPuS72Q83s9zJ46PM1YKpqXLrubFYL1HNQMEnX4TgaeB/YBEeAU4LdKqTeBz2qtZebfBtmSo/SM\nJjhBYvgv4+pcg+d8+zc7qKv2c+GZs1h7/pyMdfXGkkKemhaf2ivLtKtu8lhbVz+TK30sWziFdVcs\nsl0DUCqai1RWPahvAHdrrV8zOjiY2fd1EuWMRAZW2VZiYkmdbwlHotRU+ujsiVhWU0geau0K8eiz\nb9DbF7asqzeWFHIwT2vPNN81lq3oQ5Eov3xCD9u2RiqaT2xWSRIftnriYFafBKcspF991lT5Zdhv\nAqvwl3H79StoqCnn4U37s7p42a6bh81JpQ+JjSWFHDJvyW613Xy2W9FHYzHWP9nE9qZmw1p8IBXN\nJyo7c1DzgI8DU0gsHgdAa31THttVktKvPsORKHfdvyXb0R5RItq6Q3jcLvxej8HQmZ+Tp1exvcm4\nFl5bd6KyRP3kgOGQ2FUXn4Lf58k6a7R+6PnzON7eOxTwrOaExjJfFI3GRizuNSIVzScmO9ttPAxs\nAJ4l65FzYSR5hRmKRGVeaoLbsO0Q179DGQ6dhSNRtjc9Z/rccn+Z6TxTeCCK2a+rx31imDHVBadP\nZ90VC3nk2b9w109eoq0rRG2Vj0nlPnr7IyPmhIAxzxfd+8grGYMTSEXzYpdNYkQqOwHKpbW+bVSv\nLizJvJTYta+V0GXRoZ5H6vBYc4YCyc2dfabzTM/tPGo6lBeNwYWnT2fPgY4RiQ7pAa+tOzws0y91\nTggw3QHXbB4qtbcF8FLKfJOVTEOOojTZCVAvKKWuBv5nsPyRyKFhCxe7+3ExunUyojhZDl2Zbew0\nKNgTHtU8k9sFPp+Huz96DsHe8LBhPLtr9bbrZtPmPbfrKNv1cdq7wyNS21N7W2pOLW3d1tXSzYYc\nxcRglWYeIzFG4AI+AcSVUgzejmut5VuSA+lDO+m7oQrnmzzJR2eP9TYIZmufrIauGmrKCZjMIwV8\nHk6ZOXlUQ8SxOGzcfhiP2zUsMy6btXrt3eaPSy2ea5ba3toV4oXdxyj3l9EXGjB8nfNOm8qHrlQ8\nvOkNvnTfSyOqo0vaeekz/R/WWru11p7Bv5P/9mit3YDMVOZYcmhn3RWLWLVsRuYnCMc4fV4dkyd5\nDY9NrijjvCXT8JYZ/6otWzQFgOPtvYQiwwOR35so+2PkwjOmU1XhY+n8+oztM+uHNTa1DHvP5Fo9\nO2qr7D8WrFLbjbt6J02t5MZ3Leabv2pk4/bDtAcTW5kkA96DT++z/d6ieGW8BFFKbU677Qa25q1F\nE5zH7ebDV57KZctHN6koxt+W1942TY/u7B3gxVffJhQZPjoe8Hm4fMUsYvE4d9z3Il/4rxe5474X\nWb+hiejgTojRWIw4EPCd+DX1e928+6JT+MDlicoMa1aeZNm26gpfxj2qTry2Z6giRCbLVYPtx4L5\nkGN/KMqFp0+nvjqAywW1lX4uWz6LO29cyYNP7bOsjp4e0EXpsRrie5pE7b3kcF/SAPBofpsl1q1Z\nyN6DHRxqHlmwUzhLOJr9pGGFv2xoqC0pfVHqg0/vG1HINRSJ4Xa5hoa3Ksu9lqWTli6o4/U32033\nKksfXhyxVq/ST0WgjJ6+ATp6QtSZVI5Ipsb39EcMK7WbtbGhtpwPXakAhiVVhCJRGveabzffJmnn\njjfazL1UVgt1VwMMFoa9dczvJLIyEI2bjs2L4tfWHaJRGyckJPdOMktYeHH30aHt4/tCA5YJEZcv\nn008xrDqDElGmXGpc6JtXf1s2HqQXftbaQ+GqKn0sXR+3bD5n/TUeLMFx7MaKg17Q+edPmOoDanB\npjMYoiNoPq+XrI4uSptlFp9SajHQopT6TxKFYo8g222MCykuW1zM1hZZ6TBJrGjv7ufQ8aBp8kNz\ne99Q72FypZ+6Kp9h0Ve/182///4VWrtCBHzuRIX1SGzEWiajhbZ+r4eNjYeHJex0BMNsbDyCx+Me\nllyRnD+NxmLE4nECKZsxJrfPeN9l8wez+IbX8Ltp7RLa2kaOEkyu9FvuQn2WpJ1PCFZDfH8H3Az8\nDtgyePcM4MdKqV9qrf91HNo3YUlx2eKSbXCyUlsVYPbUymEn+lQBv2eo9+D3eliuphr2WkKRGKFI\n4vuT+jrxwY2brAqzDkTjpj04s7JDRkOS/eEoLpcLX1mZYZ0+j8d4GtxqjaBRdXRRmqx6UJ8GztJa\nD1stqJT6DrAdkACVR7KId+JatmgKPq8H8/w7F+GUXo/RvFFvaMC0zFFbd9g09Tv5fVuzYrZpD95o\n7ZbVGqrUgJZNnb5rVy8gHo/zfMou1H6vi4Un2d9yRBQ3qwAVAYxyZ8sHj4k8S554tu05TrvFeLwo\nfi6grvpEAkJrZz8hkwDTFxrgrvtfpjMYHtbrGarxOBDjrp+8nPE9zVK/k3NgZj14o+QKqyHp0dbR\n87jduNJ2oQ5F4jy97TBul0uqm08AVgHqq0CjUuop4OjgfTOA1cAX890wcWLC+vRT6vje73YVujki\nT+qr/dz63qU01FYMDZtlGuJNJhCkZ/5lU+PRLLmivbufvtCAaQ/eKLnCqr2jraNnt1cmnCEXWXvp\nrBbqrgcuIlEkthfoG/z3xVrr3+S8JcLUKTOqcVtXvRFFbNmiBmZPrRp2ss1mTRIMXxdk97lm36lk\nQLl29QLWrJxNfXUAtwvqqwOsWTl7WHJFcoGx1XuOto6enV6ZKG1WSRKztNaHgV+oRI2jK0lUkJBL\nlnFWVeEzTdMVzjfJ78Hr9dARDBPwJX59wpGo4W60qa5dvYBoLM6mxsMZ6zOmD6Olzku1dhnXuzPb\n2Tc1oBglNkRjMdZvaDLcSj75nma77WZjcqWfWpMMxZpKn6SZTwBWQ3yPAcuVUu8FvkNi2w038Hml\n1Oe11g+NRwNFwhdvWM4//3wbh2XhbtHpDUUhFKW6wsuyRQ2877L5BHsjGQufetxurjz7pGGLec2k\nD6ONWM+07RCbdx8bNp+TvrOvWUBJT2ww2+IDxrajLoxMeZ9UbhygOoJhfr1Bc+U5J1NXHZChvhJl\np5r5P5EY1nsLQCn1NWAjIAFqHPnKyvjnj57L/Y+/xnO77G1RIJwh2Unp6o2waccR3jjSxZ03rrRV\n7DTTeqAks2E0v9fDjPpJvP+yBezc22yY2Ze6s2+mE73deaFsEyKMUt6Xzq+nt984HysWhz/vPMaf\ndx4bqnguBWRLj50A1QMcTLl9HNm4sGA+9I5F7NjbQrBPqkwUq4PHg6x/sonrr1yc8bGZlhvUV9sb\nRusMhmg36IkAdARD+Mrctnoh+cjWA+Nemd2q/uk9OJF/+UiIMGIVoCYrpV4jMaz3HeDTSqkVwF0k\nkiVEATz0zBsSnEpA494W3r/6xEaFVtump69zmlJTzpK5taxZeZLt4a1cZdmNd7ZeNiSzr/RY1eKb\nr5SqA84GAoN3TweeAP5zHNom0uTqF1kUXkcwTGcwRP3kAOufbKJxbwsdwbDhcFX6nmHz59bT3dmX\n1ftZ9cSyybLL1eukylVZr7H04IQzWQ7xaa3bSASkpFla6x/mt0nCjNTnKy1/fPkA+w51DqtYnxyu\nikZjI4YAk3M7AV8Z3aN4v/Se2Giz7HL1Okm5KutVWyUFZEuNnTmoVJ8A7s1HQ0RmUp+vtDxjMcey\naccRcLlYt2Zhzib+03tio90+PVevk5Srsl4LZk+W4b0Sk+03X5aLFpDVYki/yY6tojgl94pa/2ST\n4dwex2gAABhaSURBVG67Y5HsiY31ZJ6r1wFGLAquqfRl/RqNTc3DNnwUxS/bHpTMPRWY2fDKQDRm\neUUuitOmHUd4pvHIiC0ySk16r6zcX8ZXfrYlq9GC8EBcsvnyYLwy9oxkDFBKKS+wBpgC9CmlbgDQ\nWv8iz20TBsyGV6KxGPsPd0m1iRKTrCCRmkp963UrCtii/EpdQ3XWwik8tS3zIuV0jU3Nks1XIuz0\noH5Hokjs65xY/xQHJEAVUPpiSI/bzZ03rmT9k008v/so4YgsVStFjU0t9IcnxjKD0X6DW7tCks1X\nIuwEqMVa68wrCkXBedxurr9yMddcuoBfP9nEa2+1094tCRWlpL27n/auUNZj86ms1lw5RSgSZefe\nllE/3yPVlUuCne/5fqXUHK31gby3RuREhb+Mj777NEKRKD/74+u89OrxQjdJ2OT3uglFYpjUcaW2\nKkBttd/WOqj0QGS1g67TSgSNdUnFq2+2ccmZhZs7EblhVc18I4nfkanAK0qpncDQ2ILWenX+myfG\nwu/18Ld/fRqTAl42bjss9amKQCgSw+OCqMl/1rJFU4bWQaUGIGAouaCtu58nXjpA08EO2rtPbGoY\ni8eHbcnu5BJBY11S8cRLb0qAKgFWPagvj1cjRP543G7cLpcEpyJiFpxOmlqZ2IIjemK7i9auED5v\nYjjLbN4xGYgCPuNeUnqJICcMAY51bdTRttDQPlXCvkJm7BmxKnW0CUAp9QOt9adSjymlfg5synPb\nRA5IeaTS0dMX5mhrL//93JvDTtx2E2L6w8brg5IlguonBxw1BJgMxpt2HMm4H5aRvQc7OH1efe4b\nJsaN1RDfj4F5wEql1JK059Tku2EiN6Q8Uulo6w5z109expXjWJEs8pppn6dU49HL8rjdXHnOnFGv\n79ux97gEqCJnNcR3DzAX+D5wd8r9AyRSzkURkPJIpSUOxHNcKGHZoikAtvZ5Gu9Ei7F8f/WB9py3\nR4wvqyG+N4E3gTOT9ymlrtNa/zr/zRK5kqs6Z6J0+L1uIgOxYUVej7f3mQaB1q5+jrX1cPK0atY/\n2TRsn6Z8J1qM5ft7uNV4q3tRPKyG+G4wuPsrg5UlpJJEETlRHqlZelKCyECMFaqBd50/l+l1FXjc\nbjZsPWj5nK8/sI266gDH2ozT2/NZveHa1QuIxuI8s10yUXPNaUkR6ayG+D4BLAQe40SR2CrgMqSS\nRFFJLY+091AH33lwZ6GbJAooFocte5rZsqeZyvIyTp5WxaHjXZbPCQ/ETYMTJHpSDzyh+ci7FuNx\nuy3nqNLT4zPxuN1c/w5FNBrlzzuP2XpO0vO7jrDy1GmSzVekrALUxSR2zz0d+LjWulkp1ai1/sj4\nNE3kmt/rYeHsGuplTkoMCvYN8OqbuZmreWH3MQJ+D26Xa8Qc1VUXz6MzGGLD1oPs2t86dOzCM2ex\n9vw5Q/NXoUiU5o4+wpEBfN4yGmrKh4LL9Vcu5i9Hg1nVm/zJ43t4+M9vsGzhFNZdschxC5KFNVc8\nbt1pVkpdCHwb+CrwFa318vFoWLrm5u6i6t03NFTR3DyabeXyb/2GJpmTEnkR8HnoD4/cGiTgc5um\nua9ZOZtrVy/gN0/t5blXjhJKeZzf6+aipTP4wOWJfbGisRg/e3wPz+/OricFiXVkd964Mi9Baiy/\n7w0NVbbrMv3uyT05PQ86ZYjP7GeQ8X9Ka/08cCXwfhJVJUSRS+69U1clu4+K3DIKTon7zVMPn9t1\nlF892cRT2w4PC06QqKzx1LbD/PTxPYQiUTxuN2efOrrT0MHjQdZv2Duq54rCsHUpobXuAu4A/kkp\nNT+/TRL5lpyT+urN53HuKH/ZhciV/nCUza9Y94he2H2ML967mQee2GMaBO3Y0dSS080fRX5ZZfFd\nDvwM6AX+Efg34EXgbqXUF7TWvx2XFoq88Xs9/O3a0zjc2sOh4z2Fbo6YwEIDmRd3tXWH2dh4ZFia\ne7Y6emQrDqcM69lh1YP6F+CdwIeBXwOXa63fD5wH3D4ObRPjwON2c9eNZ3PZ8lnUVPpwAeUmNduE\nKHZ1g1UzRHGwyuIr01rvVkq5gU6t9V6AwWw+W9vRKKXOBb6ptb407f61wJ0kqlLcr7W+b1StFzmR\nTON9/2UL6AyG8Lhd3PajzYVulhA5t2zRFEk5LyJWgWaXUmo9MInEnlD/AvwUuBrYl+mFlVKfB64H\netLu9wLfBc4ePPa8UupRrfXbo/sIIldSd+mdOaWCIy29BW6RELlRV+VnuWoYWrQuioPVWM5HgA3A\nH4BLgTDwW+BU4GYbr70feI/B/acC+7TW7VrrMPAccEkWbRbj4KN/fWqhmyBEzpwxv551a2QdVLGx\n6kF5tNb3p9z+4uCfIUqpgNbasOCV1vphpdRcg0PVQGfK7W5gcqaG1tZWUFZWXF3zhoaqQjdh1HoG\nimrZmRCWdu1voWcgzvT6CgI+49Nef3iA9q4QtdV+08dYGY/f90kVPtxjDLLFdF6y+l/4lVLqj8Bv\ntNbDVqAppaqAG4A1JIb8stFFomRSUhXQkelJ7e3FNdzk5IW6dpTFY5aLK4UoJu3dYT717Y3UG1Rf\nz0WF9jEu1LX92J7esK3HWWXqOfG8ZPYzsApQ7wM+CWxRSnUAh0gkNcwF6klsw/G+UbTldWChUqoO\nCJIY3vv2KF5H5JHf6+GCM2YM2yJciGKXXn09FInywBOaF1IqU+S7Qruwz2q7jRjwQ+CHSqkzSRSO\njQH7tdZZVxtVSq0DKrXW9yql/gF4gsQc2P1aazkLOtB1ly+kPxQd9ssrxHiYPMlLZ08kb6/f2NRM\nNBpj1/5W07qUqftgicLIWIvPKaQWX2GEIlFu/bdnCUdkqE+MjdsNMZtfo8uWzWTzq8cKOsTsAu6+\n6WxmT808BOe0WnzFtBgXxlCLTwi32/bvjxBMnuRl1Vkzqa/243JBfbWfC0+fbhmc/F43bhfUVwdY\ns3I211ya33RwO1/pOPD9h3axfkMTUbuRVeRU9qkqYkLpDIboD0ntMmFfd2+Ed547hw9cvnDYvk97\nDrQbDqcFfB6+dvO5hCOxof2jjrf35rX3FLM5HuPk+ahi6yWNhvSghKXJlX6m1pYXuhmiiNQOlhNK\nLvz2ez1DW7cbuWjpDGoqA0OPhcT3rr7avCRRXZWPqorsr6/rqwNctnwWdVW+rJ7XKEVmC0IClLDk\n93o47/QZhsdmT500zq0RxcCsnFBym5f66sDQcN7fXDzPsLqDVUC78PTpnLlgCt29A1m1q7bSz503\nruT6dyiWq+yq+Ld399MZlE0+x5sM8YmMblq7hN6+MI1NLbR391NbFWDZoim899J5/Hbjfl545ais\nl5pg6qv93HLNGfx551F27Wsd9r0wKyeU3OblmlXzh4b+Zs+sMU0uSL5O+vfuqovncddPXsq6zZ09\nIfpCA1RV+Axfe+n8OtOsvlopMlsQEqBERh7PyBNL8gr5Q1co4rH4mLZAEONnel0Fx9rsLXr3lbkI\nm1QUqQh4OXlaNde/o5rQZdER3wsrqTUfrRgFtOT8VJtJariV1CBj9tpmu01LkdnCkCE+YVvqnEJS\nKBJl1/7WArZK2FVb6eOOD69kzcrZBGxsqTKp3Eu1yTxPT19kaE7G6HuRS+mvP7nST53F/JQZoyCT\n/tpGw5DJLenF+JMelBiTzmBoVFezwr6aSh8dQXslbqysWDyVCn8Z69Ys4sLTp3P3z7ZaPr4jGMZs\nmWRHsHAb/yXnp4x6OmZ8bmwFGbOelVNMhMy9VNKDEmMy2qtZYd+yhVMsM9rSXbpsRsZewPT6SRlf\ns67Kb5rtVug5mdSejh0ej4uBqP21/vnuFQp7pAclxsTqanZ2wyRau/rpk3VU/3979x8kd13fcfx5\nu7fZS+4XuXBKQihhDPcGBo0hUKDQijG0lUKhtQw2yo90wg/RTkvrdAaQMDpYayvq2GpnZAZ/oJTQ\nKkysSlsTRQOjxYhVBnwnQWgJYcoBIbmYZHO3d/3j+730m83u3u7d7u3nu/d6zGSG7/eze/v53Ifb\n136+n89+vjXpX9DJ6csWsWPX6+wZKRy16CCb3Vn2d3zSG3o4cGjsmEUK2Uym6iigllHI5Cq6EOdk\nkiOd7217gY3f+2XVxx8cnZjzt3pPIwWUzFil1VZXrV7OM8/v4ZMP1r1145x0zhknHNnAtDRYqv2O\nx4oTZYNoqsUIkz/zJz7MayMFMh3RF1iTO35PKve6Icjnsly06qQpAyrXCT0LcrNUK2kU7cXXJO2y\nFx/U3pZyb6wjBw7zZ5/Z2uwqNlU+l6FQZS/CeZ0ZDo/Vv8x+XmeG0bFxBvqOHvlUUxgtkp2Xo3h4\ntGEjmMl+m5/v5GBhrOyIq1zfNkIj/k4Ko0Xed/ejUz5uzdlLm7YbxGztxZe298FaVfodaAQlDVPu\nE/vBQn1fppxt+VwUCJUC6MTBbk77tePYXOG2IycOdnP6yQtrmrDv6ICJiWgfuBMHe/jgH6/k4KHR\nut7087ksg8d3N/TDT7LfeheUn3OqdWl4KwzXeK847U6ePlokIU3V31N5oh2ouNx58aL63gzzufo3\ntD33jEFuv3pV1Z3ab77iTN79jlNZfdYSsiU7jC4d7OaOa1clJuyrLxqYvFgxPgEvvLyfbzz2nCbi\nG6Gjtr7XbhDpoxGUNFU+l+Use0PZEcZvnHkCay8e4uEf/LLsLhUf/fJPeOHl/VV/fte8LBe+ZTHj\nExMVb6440June36OQ6NFXnn9IAO9/z/HMlacYKAvX3b3gEV9XQz0dZHNZHjvb5/GlW8/ld3D+xk5\nMMopS/qOGm1MTtiX3vyuGn2ib4zB4+ZPeRkWWr/yUOqngJKmqzbBX+17JxuuO5v7v7ODJ7cPV/we\n0IJ8J+9625vozHaQ6eg4euua5YtYs2opA31d5HNZevvn8+zzrx71GtkMFVezla5Uy+eynLKkv2I7\n87ks6y45jQVdnUfq0d+dZ0+FT+2Tn+hDvXSWFvlc9CGl0mXYSa1eeSj10yKJJpmLiySmMt2J9l0v\nj7Dh3ifKlmU64K9vOO/Im3y116jUjuL4OBu37KwYoNORXHjwkS8+UXGEdtf159b9pqn/t45VHB/n\ngc072Pqzl44ZSQ305jnLBmfUn1PRIomZ0SIJabnpTrQPLlzAogqX4Uov20znNZqxe0CyHrWO0GT6\nspkM77nY+KOLljP8+kGYmKC/J19xVaKkgwJKglftS6WNfJNv1kq1apc4pbHyuSxLB3uOHFdalSjp\noICSVEjzm3zo+7uJhEoBJanQDm/yIX+XSCRECihJFb3Ji8wd+qKuiIgESQElIiJBUkCJiEiQFFAi\nIhIkBZSIiARJASUiIkFSQImISJAUUCIiEiQFlIiIBEkBJSIiQVJAiYhIkBRQIiISJAWUiIgESQEl\nIiJBUkCJiEiQFFAiIhIkBZSIiARJASUiIkFSQImISJAUUCIiEiQFlIiIBEkBJSIiQVJAiYhIkBRQ\nIiISJAWUiIgESQElIiJBUkCJiEiQOpv1g80sA3wOWAEUgPXuvjNRfguwHhiOT93o7t6s+oiISLo0\nLaCAK4Audz/fzM4D7gYuT5SvAq5x921NrIOIiKRUMy/xXQg8AuDuPwTOLilfBdxqZlvN7NYm1kNE\nRFKomSOoPmBv4rhoZp3uPhYfPwB8FtgHPGRml7r7v1b6YQsXLqCzM9u82jbB4GBvq6vQMO3SFrUj\nPO3SltloRxrfB2eimQG1D0j2WGYynMysA/i0u++Nj78JrAQqBtSePQeaWNXGGxzsZXh4pNXVaIh2\naYvaEZ52actM2lFPsKXtfbBWlX4HzbzE9xhwCUA8B/XzRFkf8JSZ9cRhtRrQXJSIpE5htMhLr/yK\nwmix1VVpO80cQT0EXGxmjwMdwDozWwv0uPvnzew24LtEK/w2u/u3mlgXEZGGKo6Ps3HLTp7cPsxr\nIwUGevOsHBrkqtXLyWb0DZ5GaFpAufs4cFPJ6V8kyu8D7mvW64uINNPGLTv5zo93HTl+dV/hyPHa\nNUOtqlZbUcyLiNSpMFrkye3DZcue3P6KLvc1iAJKRKROe/cXeG1foWzZnpFD7N1fvkzqo4ASEalT\nf0+egb582bKFvV3095Qvk/oooERE6pTPZVk5NFi2bOXQ8eRzc+e7Ss3UzFV8IiJt66rVy4FozmnP\nyCEW9naxcuj4I+dl5hRQIiLTkM1kWLtmiHe97U1k5+UoHh7VyKnBdIlPRGQG8rksi4/vVjg1gQJK\nRESCpIASEZEgKaBERCRICigREQmSAkpERIKkgBIRkSApoEREJEgKKBERCZICSkREgqSAEhGRIHVM\nTEy0ug4iIiLH0AhKRESCpIASEZEgKaBERCRICigREQmSAkpERIKkgBIRkSApoEREJEidra5A2plZ\nBvgcsAIoAOvdfWei/BZgPTAcn7rR3X3WK1ojMzsX+Li7X1Ry/jJgAzAG3Ovu97SgejWr0o7U9IeZ\n5YB7gWVAHrjL3TclylPRJzW0I019kgXuAQyYAG5y96cS5anok7RQQM3cFUCXu59vZucBdwOXJ8pX\nAde4+7aW1K4OZvZXwNXAr0rO54BPAefEZY+Z2SZ3/9/Zr+XUKrUjlpr+AN4LvOruV5vZAPBTYBOk\nrk8qtiOWpj65DMDdLzCzi4CPEv+9p6xPUkGX+GbuQuARAHf/IXB2Sfkq4FYz22pmt8525er0LPCH\nZc6fDux09z3ufhjYCvzWrNasPpXaAenqj38G7oj/u4PoU/mkNPVJtXZAivrE3R8GbogPTwZeTxSn\nqU9SQQE1c33A3sRx0cySI9MHgJuA1cCFZnbpbFauHu7+NWC0TFFpG0eA/lmp1DRUaQekqz/2u/uI\nmfUC/wJ8KFGcmj6Zoh2Qoj4BcPcxM/sS8PfAVxNFqemTtFBAzdw+oDdxnHH3MQAz6wA+7e6vxJ+o\nvgmsbEEdZ6q0jb0c/ckxFdLYH2Z2EvBd4D53vz9RlKo+qdSONPYJgLtfCwwB95hZd3w6VX2SBpqD\nmrnHiK5LPxjPQf08UdYHPGVmpxNdk15NNFmcNs8Ap8bzB/uJLlt8orVVmpZU9YeZvRH4d+AD7r65\npDg1fTJFO9LWJ1cDS939Y8ABYDz+Bynqk7RQQM3cQ8DFZvY40fX1dWa2Fuhx98+b2W1EnxwLwGZ3\n/1YL61qXknb8BfBvRKPue939xdbWrnYp7o/bgIXAHWY2OYdzD9Cdsj6Zqh1p6pOvA18ws+8DOeDP\ngT8ws9T/nYRIt9sQEZEgaQ5KRESCpIASEZEgKaBERCRICigREQmSAkpERIKkZeYSHDNbBmwHni4p\nuszdXyjz+OuATwL/E5+aDzwK3Jz40vQi4EXgdne/u+T5v0e0FLoHyBJ9deBOdx83s+OAzwJviR/+\nIvCn7r6jhnb0AY8Dl7r78/G5NXFd5wMb3f1D8fm3Ei297ge+T7QJaemWQCJzikZQEqrd7v7Wkn/H\nhFPCpsnHAWcQ7Yv2/kT5WuAbwA3x7gUAmNnvAv8ArHP3FUQbfa4APhw/5GPAU+7+Znd/M/AlYONU\nlY93U99KtNvA5Ln5RF9CvTyu3zlm9s64+CtEwTdE9H2666d6DZF2p4CStuPuRaKRy1Di9DqikdBh\n4O2J87cDH3b37fFzDwI3E43AAE4AuuLbqkAUTnfWUI3riQJyd+LcrwM73P25eHT0FeBKMzsZmB9v\nNgzwReDKGl5DpK3pEp+EaomZ/TRx/FV3/7tanhhfznsn8Dfx8QpgMfADooC5CdgSP3wl8KPk8919\nF7ArPrwLeBi42cy2AP9BFCxVufv6+LWPahPwUuL4JWBplfMic5oCSkK1O75cV6vfjwOtg+jKwNeB\nf4rL1gEPunvRzDYCG8zsjfF9esbj55Tl7tvM7BTgAmAN8JfAjWZ2/jTmiMq9TqXXHy9zTmROUUBJ\nu9jk7teVnoxvIvceYMzMJm8kOQH8CdH80o+J7uH1dOI5Q0S3hLiW6G7Jt7j7o8CjZvYRYAfRyOuJ\nOuv4ItElw0mLiS4BVjovMqdpDkra3WXAsLsvdvdl7r4MuBG4Pl4s8bfAnWZ2KoCZ9RCvCHT3CaIF\nFx9MzEEtIfpg9+w06vKj6CVseXzr8LXAt939v4FDZnZB/LhrgG9Pp7Ei7UQBJe1uHfCPJefuB7qA\n33H3R4gWSmw0s/8C/hPYBmyIH/tu4EzgOTN7mujmemvd/bV6K+Luh4DrgK8Rjdh+QXQDP4hGeZ8y\ns2eAbuAz9f58kXaj3cxFRCRImoOSVDCzW4jmhErtdvdLWlCf3yS65Xc5l7i75pBEZkgjKBERCZLm\noEREJEgKKBERCZICSkREgqSAEhGRICmgREQkSP8HFti20m1uyzAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111a714e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew=(SWIRE_cat['FErr_PACS_100_u']-SWIRE_cat['F_PACS_100'])/(SWIRE_cat['F_PACS_100']-SWIRE_cat['FErr_PACS_100_l'])\n",
    "skew.name='(84th-50th)/(50th-16th) percentile'\n",
    "g=sns.jointplot(x=np.log10(SWIRE_cat['F_PACS_100']),y=skew, kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5HYMxxgf8FDBEJzN8zlq7YfQhSykbUF+uPUh9Tf7WlxMRZ04TDb4A/IZo4lkN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\nP4cCnPhpn5uDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111a04eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew=(SWIRE_cat['FErr_PACS_160_u']-SWIRE_cat['F_PACS_160'])/(SWIRE_cat['F_PACS_160']-SWIRE_cat['FErr_PACS_160_l'])\n",
    "skew.name='(84th-50th)/(50th-16th) percentile'\n",
    "g=sns.jointplot(x=np.log10(SWIRE_cat['F_PACS_160']),y=skew, kind='scatter')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add flag to catalogue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from astropy.table import Column\n",
    "SERVS_cat.add_column(Column(np.zeros(len(SERVS_cat), dtype=bool),name='flag_PACS_100'))\n",
    "SERVS_cat.add_column(Column(np.zeros(len(SERVS_cat), dtype=bool),name='flag_PACS_160'))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from astropy.table import Column\n",
    "SWIRE_cat.add_column(Column(np.zeros(len(SWIRE_cat), dtype=bool),name='flag_PACS_100'))\n",
    "SWIRE_cat.add_column(Column(np.zeros(len(SWIRE_cat), dtype=bool),name='flag_PACS_160'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ind_SERVS_100=(SERVS_cat['Pval_res_100']>0.5) | (SERVS_cat['F_PACS_100'] < 12.5)\n",
    "ind_SERVS_160=(SERVS_cat['Pval_res_160']>0.5) | (SERVS_cat['F_PACS_160'] < 17.5) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ind_SWIRE_100=(SWIRE_cat['Pval_res_100']>0.5) | (SWIRE_cat['F_PACS_100'] < 12.5) | ((SWIRE_cat['FErr_PACS_100_u']-SWIRE_cat['F_PACS_100'])>150)\n",
    "ind_SWIRE_160=(SWIRE_cat['Pval_res_160']>0.5) | (SWIRE_cat['F_PACS_160'] < 17.5) | ((SWIRE_cat['FErr_PACS_160_u']-SWIRE_cat['F_PACS_160'])>150)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "102220 91945 120282\n"
     ]
    }
   ],
   "source": [
    "print(ind_SERVS_100.sum(),ind_SERVS_160.sum(),len(SERVS_cat))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "170332 164976 269561\n"
     ]
    }
   ],
   "source": [
    "print(ind_SWIRE_100.sum(),ind_SWIRE_160.sum(),len(SWIRE_cat))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "SERVS_cat['flag_PACS_100'][ind_SERVS_100]=True\n",
    "SERVS_cat['flag_PACS_160'][ind_SERVS_160]=True\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "SWIRE_cat['flag_PACS_100'][ind_SWIRE_100]=True\n",
    "SWIRE_cat['flag_PACS_160'][ind_SWIRE_160]=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "SERVS_cat.write('../data/ELAIS_N1/PACS/dmu26_XID+PACS_ELAIS-N1_SERVS_cat_20170801.fits', format='fits',overwrite=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "SWIRE_cat.write('../data/ELAIS_N1/PACS/dmu26_XID+PACS_ELAIS-N1_SWIRE_cat_20170808.fits', format='fits',overwrite=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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