{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# GAMA-09 Selection Functions\n",
    "## Depth maps and selection functions\n",
    "\n",
    "The simplest selection function available is the field MOC which specifies the area for which there is Herschel data. Each pristine catalogue also has a MOC defining the area for which that data is available.\n",
    "\n",
    "The next stage is to provide mean flux standard deviations which act as a proxy for the catalogue's 5$\\sigma$ depth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was run with herschelhelp_internal version: \n",
      "708e28f (Tue May 8 18:05:21 2018 +0100)\n",
      "This notebook was executed on: \n",
      "2018-06-06 15:13:53.646972\n"
     ]
    }
   ],
   "source": [
    "from herschelhelp_internal import git_version\n",
    "print(\"This notebook was run with herschelhelp_internal version: \\n{}\".format(git_version()))\n",
    "import datetime\n",
    "print(\"This notebook was executed on: \\n{}\".format(datetime.datetime.now()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "#%config InlineBackend.figure_format = 'svg'\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rc('figure', figsize=(10, 6))\n",
    "\n",
    "import os\n",
    "import time\n",
    "\n",
    "from astropy import units as u\n",
    "from astropy.coordinates import SkyCoord\n",
    "from astropy.table import Column, Table, join\n",
    "import numpy as np\n",
    "from pymoc import MOC\n",
    "import healpy as hp\n",
    "#import pandas as pd #Astropy has group_by function so apandas isn't required.\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings\n",
    "#We ignore warnings - this is a little dangerous but a huge number of warnings are generated by empty cells later\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from herschelhelp_internal.utils import inMoc, coords_to_hpidx, flux_to_mag\n",
    "from herschelhelp_internal.masterlist import find_last_ml_suffix, nb_ccplots\n",
    "\n",
    "from astropy.io.votable import parse_single_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "FIELD = 'GAMA-09'\n",
    "#FILTERS_DIR = \"/Users/rs548/GitHub/herschelhelp_python/database_builder/filters/\"\n",
    "FILTERS_DIR = \"/opt/herschelhelp_python/database_builder/filters/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Depth maps produced using: master_catalogue_gama-09_20180601.fits\n"
     ]
    }
   ],
   "source": [
    "TMP_DIR = os.environ.get('TMP_DIR', \"./data_tmp\")\n",
    "OUT_DIR = os.environ.get('OUT_DIR', \"./data\")\n",
    "SUFFIX = find_last_ml_suffix()\n",
    "#SUFFIX = \"20171016\"\n",
    "\n",
    "master_catalogue_filename = \"master_catalogue_{}_{}.fits\".format(FIELD.lower(), SUFFIX)\n",
    "master_catalogue = Table.read(\"{}/{}\".format(OUT_DIR, master_catalogue_filename))\n",
    "\n",
    "print(\"Depth maps produced using: {}\".format(master_catalogue_filename))\n",
    "\n",
    "ORDER = 10\n",
    "#TODO write code to decide on appropriate order\n",
    "\n",
    "field_moc = MOC(filename=\"../../dmu2/dmu2_field_coverages/{}_MOC.fits\".format(FIELD))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## I - Group masterlist objects by healpix cell and calculate depths\n",
    "We add a column to the masterlist catalogue for the target order healpix cell <i>per object</i>."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Add a column to the catalogue with the order=ORDER hp_idx\n",
    "master_catalogue.add_column(Column(data=coords_to_hpidx(master_catalogue['ra'],\n",
    "                                                       master_catalogue['dec'],\n",
    "                                                       ORDER), \n",
    "                                   name=\"hp_idx_O_{}\".format(str(ORDER))\n",
    "                                  )\n",
    "                           )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Convert catalogue to pandas and group by the order=ORDER pixel\n",
    "\n",
    "group = master_catalogue.group_by([\"hp_idx_O_{}\".format(str(ORDER))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Downgrade the groups from order=ORDER to order=13 and then fill out the appropriate cells\n",
    "#hp.pixelfunc.ud_grade([2599293, 2599294], nside_out=hp.order2nside(13))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## II Create a table of all Order=13 healpix cells in the field and populate it\n",
    "We create a table with every order=13 healpix cell in the field MOC. We then calculate the healpix cell at lower order that the order=13 cell is in. We then fill in the depth at every order=13 cell as calculated for the lower order cell that that the order=13 cell is inside."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "depths = Table()\n",
    "depths['hp_idx_O_13'] = list(field_moc.flattened(13))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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   "source": [
    "depths[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "depths.add_column(Column(data=hp.pixelfunc.ang2pix(2**ORDER,\n",
    "                     hp.pixelfunc.pix2ang(2**13, depths['hp_idx_O_13'], nest=True)[0],\n",
    "                     hp.pixelfunc.pix2ang(2**13, depths['hp_idx_O_13'], nest=True)[1],\n",
    "                     nest = True),\n",
    "                     name=\"hp_idx_O_{}\".format(str(ORDER))\n",
    "                        )\n",
    "                 )"
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  {
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    "scrolled": true
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    "depths[:10].show_in_notebook()"
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  {
   "cell_type": "code",
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   "metadata": {},
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       "<thead><tr><th>idx</th><th>hp_idx_O_13</th><th>hp_idx_O_10</th><th>ferr_ap_megacam_u_mean</th><th>f_ap_megacam_u_p90</th><th>ferr_megacam_u_mean</th><th>f_megacam_u_p90</th><th>ferr_ap_megacam_g_mean</th><th>f_ap_megacam_g_p90</th><th>ferr_megacam_g_mean</th><th>f_megacam_g_p90</th><th>ferr_ap_megacam_r_mean</th><th>f_ap_megacam_r_p90</th><th>ferr_megacam_r_mean</th><th>f_megacam_r_p90</th><th>ferr_ap_megacam_i_mean</th><th>f_ap_megacam_i_p90</th><th>ferr_megacam_i_mean</th><th>f_megacam_i_p90</th><th>ferr_ap_megacam_z_mean</th><th>f_ap_megacam_z_p90</th><th>ferr_megacam_z_mean</th><th>f_megacam_z_p90</th><th>ferr_ap_decam_g_mean</th><th>f_ap_decam_g_p90</th><th>ferr_decam_g_mean</th><th>f_decam_g_p90</th><th>ferr_ap_decam_r_mean</th><th>f_ap_decam_r_p90</th><th>ferr_decam_r_mean</th><th>f_decam_r_p90</th><th>ferr_ap_decam_z_mean</th><th>f_ap_decam_z_p90</th><th>ferr_decam_z_mean</th><th>f_decam_z_p90</th><th>ferr_ap_suprime_g_mean</th><th>f_ap_suprime_g_p90</th><th>ferr_suprime_g_mean</th><th>f_suprime_g_p90</th><th>ferr_ap_suprime_r_mean</th><th>f_ap_suprime_r_p90</th><th>ferr_suprime_r_mean</th><th>f_suprime_r_p90</th><th>ferr_ap_suprime_i_mean</th><th>f_ap_suprime_i_p90</th><th>ferr_suprime_i_mean</th><th>f_suprime_i_p90</th><th>ferr_ap_suprime_z_mean</th><th>f_ap_suprime_z_p90</th><th>ferr_suprime_z_mean</th><th>f_suprime_z_p90</th><th>ferr_ap_suprime_y_mean</th><th>f_ap_suprime_y_p90</th><th>ferr_suprime_y_mean</th><th>f_suprime_y_p90</th><th>ferr_ap_omegacam_u_mean</th><th>f_ap_omegacam_u_p90</th><th>ferr_omegacam_u_mean</th><th>f_omegacam_u_p90</th><th>ferr_ap_omegacam_g_mean</th><th>f_ap_omegacam_g_p90</th><th>ferr_omegacam_g_mean</th><th>f_omegacam_g_p90</th><th>ferr_ap_omegacam_r_mean</th><th>f_ap_omegacam_r_p90</th><th>ferr_omegacam_r_mean</th><th>f_omegacam_r_p90</th><th>ferr_ap_omegacam_i_mean</th><th>f_ap_omegacam_i_p90</th><th>ferr_omegacam_i_mean</th><th>f_omegacam_i_p90</th><th>ferr_ap_gpc1_g_mean</th><th>f_ap_gpc1_g_p90</th><th>ferr_gpc1_g_mean</th><th>f_gpc1_g_p90</th><th>ferr_ap_gpc1_r_mean</th><th>f_ap_gpc1_r_p90</th><th>ferr_gpc1_r_mean</th><th>f_gpc1_r_p90</th><th>ferr_ap_gpc1_i_mean</th><th>f_ap_gpc1_i_p90</th><th>ferr_gpc1_i_mean</th><th>f_gpc1_i_p90</th><th>ferr_ap_gpc1_z_mean</th><th>f_ap_gpc1_z_p90</th><th>ferr_gpc1_z_mean</th><th>f_gpc1_z_p90</th><th>ferr_ap_gpc1_y_mean</th><th>f_ap_gpc1_y_p90</th><th>ferr_gpc1_y_mean</th><th>f_gpc1_y_p90</th><th>ferr_ap_ukidss_y_mean</th><th>f_ap_ukidss_y_p90</th><th>ferr_ukidss_y_mean</th><th>f_ukidss_y_p90</th><th>ferr_ap_ukidss_j_mean</th><th>f_ap_ukidss_j_p90</th><th>ferr_ukidss_j_mean</th><th>f_ukidss_j_p90</th><th>ferr_ap_ukidss_h_mean</th><th>f_ap_ukidss_h_p90</th><th>ferr_ukidss_h_mean</th><th>f_ukidss_h_p90</th><th>ferr_ap_ukidss_k_mean</th><th>f_ap_ukidss_k_p90</th><th>ferr_ukidss_k_mean</th><th>f_ukidss_k_p90</th><th>ferr_ap_vista_z_mean</th><th>f_ap_vista_z_p90</th><th>ferr_vista_z_mean</th><th>f_vista_z_p90</th><th>ferr_ap_vista_y_mean</th><th>f_ap_vista_y_p90</th><th>ferr_vista_y_mean</th><th>f_vista_y_p90</th><th>ferr_ap_vista_j_mean</th><th>f_ap_vista_j_p90</th><th>ferr_vista_j_mean</th><th>f_vista_j_p90</th><th>ferr_ap_vista_h_mean</th><th>f_ap_vista_h_p90</th><th>ferr_vista_h_mean</th><th>f_vista_h_p90</th><th>ferr_ap_vista_ks_mean</th><th>f_ap_vista_ks_p90</th><th>ferr_vista_ks_mean</th><th>f_vista_ks_p90</th></tr></thead>\n",
       "<thead><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<tr><td>0</td><td>67108864</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.116498e-07</td><td>3.652243958640612e-06</td><td>0.1917761</td><td>2.9105380058288586</td><td>3.1480357e-07</td><td>8.426545355177953e-06</td><td>0.34554058</td><td>7.899426841735843</td><td>2.255712e-07</td><td>1.8817618547473098e-05</td><td>0.1778967</td><td>19.63712635040285</td><td>0.019233916</td><td>0.8415525078773503</td><td>0.03631376</td><td>1.2409851312637346</td><td>0.030933714</td><td>1.6446013450622559</td><td>0.057067305</td><td>2.559791326522827</td><td>0.041742314</td><td>2.9294633865356423</td><td>0.07907511</td><td>4.305760383605958</td><td>0.061295513</td><td>4.5308218002319345</td><td>0.11688934</td><td>6.08954982757569</td><td>0.14313455</td><td>5.150067615509034</td><td>0.26823804</td><td>7.3874293804168705</td><td>0.299958</td><td>1.5553952336311343</td><td>0.32712582</td><td>2.0739379882812505</td><td>0.098779015</td><td>3.3188003540039066</td><td>0.106775224</td><td>3.7272247314453155</td><td>0.13028678</td><td>5.742781019210819</td><td>0.14425983</td><td>6.475454950332643</td><td>0.23759793</td><td>13.320282554626464</td><td>0.2605824</td><td>15.416330718994127</td><td>0.9193167643465427</td><td>39.01932521811828</td><td>1.3408030665755548</td><td>35.15277587702323</td><td>2.035468364093632</td><td>67.42069853132313</td><td>1.7942244385608008</td><td>63.240837542327455</td><td>1.9690220553296307</td><td>131.66154338491205</td><td>1.4965745918310458</td><td>116.80893340942549</td><td>93.38511070057697</td><td>193.51519946646303</td><td>87.41189336997463</td><td>192.4662198505599</td><td>34.468362643531734</td><td>231.95156604008986</td><td>41.40295946625748</td><td>236.2232436919241</td><td>3.228616</td><td>214.48741149902344</td><td>5.3875356</td><td>276.3327697753907</td><td>4.7853255</td><td>444.3018646240237</td><td>6.2887073</td><td>425.1583251953127</td><td>4.734551</td><td>332.949465942383</td><td>8.380675</td><td>380.66919860839886</td><td>6.316718</td><td>348.5218048095703</td><td>12.61597</td><td>330.57894287109383</td><td>0.47240165</td><td>5.502763080596926</td><td>1.0066813</td><td>10.994016265869142</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.8689950555562973</td><td>23.09687404632568</td><td>2.6276588141918182</td><td>15.957546710968018</td><td>1.6832144364066746</td><td>13.997125244140626</td><td>3.2967860595039697</td><td>32.601833724975585</td><td>2.35775479517485</td><td>15.368998718261718</td><td>4.462535356220446</td><td>20.08248901367187</td></tr>\n",
       "<tr><td>1</td><td>67108911</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.116498e-07</td><td>3.652243958640612e-06</td><td>0.1917761</td><td>2.9105380058288586</td><td>3.1480357e-07</td><td>8.426545355177953e-06</td><td>0.34554058</td><td>7.899426841735843</td><td>2.255712e-07</td><td>1.8817618547473098e-05</td><td>0.1778967</td><td>19.63712635040285</td><td>0.019233916</td><td>0.8415525078773503</td><td>0.03631376</td><td>1.2409851312637346</td><td>0.030933714</td><td>1.6446013450622559</td><td>0.057067305</td><td>2.559791326522827</td><td>0.041742314</td><td>2.9294633865356423</td><td>0.07907511</td><td>4.305760383605958</td><td>0.061295513</td><td>4.5308218002319345</td><td>0.11688934</td><td>6.08954982757569</td><td>0.14313455</td><td>5.150067615509034</td><td>0.26823804</td><td>7.3874293804168705</td><td>0.299958</td><td>1.5553952336311343</td><td>0.32712582</td><td>2.0739379882812505</td><td>0.098779015</td><td>3.3188003540039066</td><td>0.106775224</td><td>3.7272247314453155</td><td>0.13028678</td><td>5.742781019210819</td><td>0.14425983</td><td>6.475454950332643</td><td>0.23759793</td><td>13.320282554626464</td><td>0.2605824</td><td>15.416330718994127</td><td>0.9193167643465427</td><td>39.01932521811828</td><td>1.3408030665755548</td><td>35.15277587702323</td><td>2.035468364093632</td><td>67.42069853132313</td><td>1.7942244385608008</td><td>63.240837542327455</td><td>1.9690220553296307</td><td>131.66154338491205</td><td>1.4965745918310458</td><td>116.80893340942549</td><td>93.38511070057697</td><td>193.51519946646303</td><td>87.41189336997463</td><td>192.4662198505599</td><td>34.468362643531734</td><td>231.95156604008986</td><td>41.40295946625748</td><td>236.2232436919241</td><td>3.228616</td><td>214.48741149902344</td><td>5.3875356</td><td>276.3327697753907</td><td>4.7853255</td><td>444.3018646240237</td><td>6.2887073</td><td>425.1583251953127</td><td>4.734551</td><td>332.949465942383</td><td>8.380675</td><td>380.66919860839886</td><td>6.316718</td><td>348.5218048095703</td><td>12.61597</td><td>330.57894287109383</td><td>0.47240165</td><td>5.502763080596926</td><td>1.0066813</td><td>10.994016265869142</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.8689950555562973</td><td>23.09687404632568</td><td>2.6276588141918182</td><td>15.957546710968018</td><td>1.6832144364066746</td><td>13.997125244140626</td><td>3.2967860595039697</td><td>32.601833724975585</td><td>2.35775479517485</td><td>15.368998718261718</td><td>4.462535356220446</td><td>20.08248901367187</td></tr>\n",
       "<tr><td>2</td><td>67108912</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.116498e-07</td><td>3.652243958640612e-06</td><td>0.1917761</td><td>2.9105380058288586</td><td>3.1480357e-07</td><td>8.426545355177953e-06</td><td>0.34554058</td><td>7.899426841735843</td><td>2.255712e-07</td><td>1.8817618547473098e-05</td><td>0.1778967</td><td>19.63712635040285</td><td>0.019233916</td><td>0.8415525078773503</td><td>0.03631376</td><td>1.2409851312637346</td><td>0.030933714</td><td>1.6446013450622559</td><td>0.057067305</td><td>2.559791326522827</td><td>0.041742314</td><td>2.9294633865356423</td><td>0.07907511</td><td>4.305760383605958</td><td>0.061295513</td><td>4.5308218002319345</td><td>0.11688934</td><td>6.08954982757569</td><td>0.14313455</td><td>5.150067615509034</td><td>0.26823804</td><td>7.3874293804168705</td><td>0.299958</td><td>1.5553952336311343</td><td>0.32712582</td><td>2.0739379882812505</td><td>0.098779015</td><td>3.3188003540039066</td><td>0.106775224</td><td>3.7272247314453155</td><td>0.13028678</td><td>5.742781019210819</td><td>0.14425983</td><td>6.475454950332643</td><td>0.23759793</td><td>13.320282554626464</td><td>0.2605824</td><td>15.416330718994127</td><td>0.9193167643465427</td><td>39.01932521811828</td><td>1.3408030665755548</td><td>35.15277587702323</td><td>2.035468364093632</td><td>67.42069853132313</td><td>1.7942244385608008</td><td>63.240837542327455</td><td>1.9690220553296307</td><td>131.66154338491205</td><td>1.4965745918310458</td><td>116.80893340942549</td><td>93.38511070057697</td><td>193.51519946646303</td><td>87.41189336997463</td><td>192.4662198505599</td><td>34.468362643531734</td><td>231.95156604008986</td><td>41.40295946625748</td><td>236.2232436919241</td><td>3.228616</td><td>214.48741149902344</td><td>5.3875356</td><td>276.3327697753907</td><td>4.7853255</td><td>444.3018646240237</td><td>6.2887073</td><td>425.1583251953127</td><td>4.734551</td><td>332.949465942383</td><td>8.380675</td><td>380.66919860839886</td><td>6.316718</td><td>348.5218048095703</td><td>12.61597</td><td>330.57894287109383</td><td>0.47240165</td><td>5.502763080596926</td><td>1.0066813</td><td>10.994016265869142</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.8689950555562973</td><td>23.09687404632568</td><td>2.6276588141918182</td><td>15.957546710968018</td><td>1.6832144364066746</td><td>13.997125244140626</td><td>3.2967860595039697</td><td>32.601833724975585</td><td>2.35775479517485</td><td>15.368998718261718</td><td>4.462535356220446</td><td>20.08248901367187</td></tr>\n",
       "<tr><td>3</td><td>67108913</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.116498e-07</td><td>3.652243958640612e-06</td><td>0.1917761</td><td>2.9105380058288586</td><td>3.1480357e-07</td><td>8.426545355177953e-06</td><td>0.34554058</td><td>7.899426841735843</td><td>2.255712e-07</td><td>1.8817618547473098e-05</td><td>0.1778967</td><td>19.63712635040285</td><td>0.019233916</td><td>0.8415525078773503</td><td>0.03631376</td><td>1.2409851312637346</td><td>0.030933714</td><td>1.6446013450622559</td><td>0.057067305</td><td>2.559791326522827</td><td>0.041742314</td><td>2.9294633865356423</td><td>0.07907511</td><td>4.305760383605958</td><td>0.061295513</td><td>4.5308218002319345</td><td>0.11688934</td><td>6.08954982757569</td><td>0.14313455</td><td>5.150067615509034</td><td>0.26823804</td><td>7.3874293804168705</td><td>0.299958</td><td>1.5553952336311343</td><td>0.32712582</td><td>2.0739379882812505</td><td>0.098779015</td><td>3.3188003540039066</td><td>0.106775224</td><td>3.7272247314453155</td><td>0.13028678</td><td>5.742781019210819</td><td>0.14425983</td><td>6.475454950332643</td><td>0.23759793</td><td>13.320282554626464</td><td>0.2605824</td><td>15.416330718994127</td><td>0.9193167643465427</td><td>39.01932521811828</td><td>1.3408030665755548</td><td>35.15277587702323</td><td>2.035468364093632</td><td>67.42069853132313</td><td>1.7942244385608008</td><td>63.240837542327455</td><td>1.9690220553296307</td><td>131.66154338491205</td><td>1.4965745918310458</td><td>116.80893340942549</td><td>93.38511070057697</td><td>193.51519946646303</td><td>87.41189336997463</td><td>192.4662198505599</td><td>34.468362643531734</td><td>231.95156604008986</td><td>41.40295946625748</td><td>236.2232436919241</td><td>3.228616</td><td>214.48741149902344</td><td>5.3875356</td><td>276.3327697753907</td><td>4.7853255</td><td>444.3018646240237</td><td>6.2887073</td><td>425.1583251953127</td><td>4.734551</td><td>332.949465942383</td><td>8.380675</td><td>380.66919860839886</td><td>6.316718</td><td>348.5218048095703</td><td>12.61597</td><td>330.57894287109383</td><td>0.47240165</td><td>5.502763080596926</td><td>1.0066813</td><td>10.994016265869142</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.8689950555562973</td><td>23.09687404632568</td><td>2.6276588141918182</td><td>15.957546710968018</td><td>1.6832144364066746</td><td>13.997125244140626</td><td>3.2967860595039697</td><td>32.601833724975585</td><td>2.35775479517485</td><td>15.368998718261718</td><td>4.462535356220446</td><td>20.08248901367187</td></tr>\n",
       "<tr><td>4</td><td>67108895</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.116498e-07</td><td>3.652243958640612e-06</td><td>0.1917761</td><td>2.9105380058288586</td><td>3.1480357e-07</td><td>8.426545355177953e-06</td><td>0.34554058</td><td>7.899426841735843</td><td>2.255712e-07</td><td>1.8817618547473098e-05</td><td>0.1778967</td><td>19.63712635040285</td><td>0.019233916</td><td>0.8415525078773503</td><td>0.03631376</td><td>1.2409851312637346</td><td>0.030933714</td><td>1.6446013450622559</td><td>0.057067305</td><td>2.559791326522827</td><td>0.041742314</td><td>2.9294633865356423</td><td>0.07907511</td><td>4.305760383605958</td><td>0.061295513</td><td>4.5308218002319345</td><td>0.11688934</td><td>6.08954982757569</td><td>0.14313455</td><td>5.150067615509034</td><td>0.26823804</td><td>7.3874293804168705</td><td>0.299958</td><td>1.5553952336311343</td><td>0.32712582</td><td>2.0739379882812505</td><td>0.098779015</td><td>3.3188003540039066</td><td>0.106775224</td><td>3.7272247314453155</td><td>0.13028678</td><td>5.742781019210819</td><td>0.14425983</td><td>6.475454950332643</td><td>0.23759793</td><td>13.320282554626464</td><td>0.2605824</td><td>15.416330718994127</td><td>0.9193167643465427</td><td>39.01932521811828</td><td>1.3408030665755548</td><td>35.15277587702323</td><td>2.035468364093632</td><td>67.42069853132313</td><td>1.7942244385608008</td><td>63.240837542327455</td><td>1.9690220553296307</td><td>131.66154338491205</td><td>1.4965745918310458</td><td>116.80893340942549</td><td>93.38511070057697</td><td>193.51519946646303</td><td>87.41189336997463</td><td>192.4662198505599</td><td>34.468362643531734</td><td>231.95156604008986</td><td>41.40295946625748</td><td>236.2232436919241</td><td>3.228616</td><td>214.48741149902344</td><td>5.3875356</td><td>276.3327697753907</td><td>4.7853255</td><td>444.3018646240237</td><td>6.2887073</td><td>425.1583251953127</td><td>4.734551</td><td>332.949465942383</td><td>8.380675</td><td>380.66919860839886</td><td>6.316718</td><td>348.5218048095703</td><td>12.61597</td><td>330.57894287109383</td><td>0.47240165</td><td>5.502763080596926</td><td>1.0066813</td><td>10.994016265869142</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.8689950555562973</td><td>23.09687404632568</td><td>2.6276588141918182</td><td>15.957546710968018</td><td>1.6832144364066746</td><td>13.997125244140626</td><td>3.2967860595039697</td><td>32.601833724975585</td><td>2.35775479517485</td><td>15.368998718261718</td><td>4.462535356220446</td><td>20.08248901367187</td></tr>\n",
       "<tr><td>5</td><td>67108915</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.116498e-07</td><td>3.652243958640612e-06</td><td>0.1917761</td><td>2.9105380058288586</td><td>3.1480357e-07</td><td>8.426545355177953e-06</td><td>0.34554058</td><td>7.899426841735843</td><td>2.255712e-07</td><td>1.8817618547473098e-05</td><td>0.1778967</td><td>19.63712635040285</td><td>0.019233916</td><td>0.8415525078773503</td><td>0.03631376</td><td>1.2409851312637346</td><td>0.030933714</td><td>1.6446013450622559</td><td>0.057067305</td><td>2.559791326522827</td><td>0.041742314</td><td>2.9294633865356423</td><td>0.07907511</td><td>4.305760383605958</td><td>0.061295513</td><td>4.5308218002319345</td><td>0.11688934</td><td>6.08954982757569</td><td>0.14313455</td><td>5.150067615509034</td><td>0.26823804</td><td>7.3874293804168705</td><td>0.299958</td><td>1.5553952336311343</td><td>0.32712582</td><td>2.0739379882812505</td><td>0.098779015</td><td>3.3188003540039066</td><td>0.106775224</td><td>3.7272247314453155</td><td>0.13028678</td><td>5.742781019210819</td><td>0.14425983</td><td>6.475454950332643</td><td>0.23759793</td><td>13.320282554626464</td><td>0.2605824</td><td>15.416330718994127</td><td>0.9193167643465427</td><td>39.01932521811828</td><td>1.3408030665755548</td><td>35.15277587702323</td><td>2.035468364093632</td><td>67.42069853132313</td><td>1.7942244385608008</td><td>63.240837542327455</td><td>1.9690220553296307</td><td>131.66154338491205</td><td>1.4965745918310458</td><td>116.80893340942549</td><td>93.38511070057697</td><td>193.51519946646303</td><td>87.41189336997463</td><td>192.4662198505599</td><td>34.468362643531734</td><td>231.95156604008986</td><td>41.40295946625748</td><td>236.2232436919241</td><td>3.228616</td><td>214.48741149902344</td><td>5.3875356</td><td>276.3327697753907</td><td>4.7853255</td><td>444.3018646240237</td><td>6.2887073</td><td>425.1583251953127</td><td>4.734551</td><td>332.949465942383</td><td>8.380675</td><td>380.66919860839886</td><td>6.316718</td><td>348.5218048095703</td><td>12.61597</td><td>330.57894287109383</td><td>0.47240165</td><td>5.502763080596926</td><td>1.0066813</td><td>10.994016265869142</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.8689950555562973</td><td>23.09687404632568</td><td>2.6276588141918182</td><td>15.957546710968018</td><td>1.6832144364066746</td><td>13.997125244140626</td><td>3.2967860595039697</td><td>32.601833724975585</td><td>2.35775479517485</td><td>15.368998718261718</td><td>4.462535356220446</td><td>20.08248901367187</td></tr>\n",
       "<tr><td>6</td><td>67108865</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.116498e-07</td><td>3.652243958640612e-06</td><td>0.1917761</td><td>2.9105380058288586</td><td>3.1480357e-07</td><td>8.426545355177953e-06</td><td>0.34554058</td><td>7.899426841735843</td><td>2.255712e-07</td><td>1.8817618547473098e-05</td><td>0.1778967</td><td>19.63712635040285</td><td>0.019233916</td><td>0.8415525078773503</td><td>0.03631376</td><td>1.2409851312637346</td><td>0.030933714</td><td>1.6446013450622559</td><td>0.057067305</td><td>2.559791326522827</td><td>0.041742314</td><td>2.9294633865356423</td><td>0.07907511</td><td>4.305760383605958</td><td>0.061295513</td><td>4.5308218002319345</td><td>0.11688934</td><td>6.08954982757569</td><td>0.14313455</td><td>5.150067615509034</td><td>0.26823804</td><td>7.3874293804168705</td><td>0.299958</td><td>1.5553952336311343</td><td>0.32712582</td><td>2.0739379882812505</td><td>0.098779015</td><td>3.3188003540039066</td><td>0.106775224</td><td>3.7272247314453155</td><td>0.13028678</td><td>5.742781019210819</td><td>0.14425983</td><td>6.475454950332643</td><td>0.23759793</td><td>13.320282554626464</td><td>0.2605824</td><td>15.416330718994127</td><td>0.9193167643465427</td><td>39.01932521811828</td><td>1.3408030665755548</td><td>35.15277587702323</td><td>2.035468364093632</td><td>67.42069853132313</td><td>1.7942244385608008</td><td>63.240837542327455</td><td>1.9690220553296307</td><td>131.66154338491205</td><td>1.4965745918310458</td><td>116.80893340942549</td><td>93.38511070057697</td><td>193.51519946646303</td><td>87.41189336997463</td><td>192.4662198505599</td><td>34.468362643531734</td><td>231.95156604008986</td><td>41.40295946625748</td><td>236.2232436919241</td><td>3.228616</td><td>214.48741149902344</td><td>5.3875356</td><td>276.3327697753907</td><td>4.7853255</td><td>444.3018646240237</td><td>6.2887073</td><td>425.1583251953127</td><td>4.734551</td><td>332.949465942383</td><td>8.380675</td><td>380.66919860839886</td><td>6.316718</td><td>348.5218048095703</td><td>12.61597</td><td>330.57894287109383</td><td>0.47240165</td><td>5.502763080596926</td><td>1.0066813</td><td>10.994016265869142</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.8689950555562973</td><td>23.09687404632568</td><td>2.6276588141918182</td><td>15.957546710968018</td><td>1.6832144364066746</td><td>13.997125244140626</td><td>3.2967860595039697</td><td>32.601833724975585</td><td>2.35775479517485</td><td>15.368998718261718</td><td>4.462535356220446</td><td>20.08248901367187</td></tr>\n",
       "<tr><td>7</td><td>67108898</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.116498e-07</td><td>3.652243958640612e-06</td><td>0.1917761</td><td>2.9105380058288586</td><td>3.1480357e-07</td><td>8.426545355177953e-06</td><td>0.34554058</td><td>7.899426841735843</td><td>2.255712e-07</td><td>1.8817618547473098e-05</td><td>0.1778967</td><td>19.63712635040285</td><td>0.019233916</td><td>0.8415525078773503</td><td>0.03631376</td><td>1.2409851312637346</td><td>0.030933714</td><td>1.6446013450622559</td><td>0.057067305</td><td>2.559791326522827</td><td>0.041742314</td><td>2.9294633865356423</td><td>0.07907511</td><td>4.305760383605958</td><td>0.061295513</td><td>4.5308218002319345</td><td>0.11688934</td><td>6.08954982757569</td><td>0.14313455</td><td>5.150067615509034</td><td>0.26823804</td><td>7.3874293804168705</td><td>0.299958</td><td>1.5553952336311343</td><td>0.32712582</td><td>2.0739379882812505</td><td>0.098779015</td><td>3.3188003540039066</td><td>0.106775224</td><td>3.7272247314453155</td><td>0.13028678</td><td>5.742781019210819</td><td>0.14425983</td><td>6.475454950332643</td><td>0.23759793</td><td>13.320282554626464</td><td>0.2605824</td><td>15.416330718994127</td><td>0.9193167643465427</td><td>39.01932521811828</td><td>1.3408030665755548</td><td>35.15277587702323</td><td>2.035468364093632</td><td>67.42069853132313</td><td>1.7942244385608008</td><td>63.240837542327455</td><td>1.9690220553296307</td><td>131.66154338491205</td><td>1.4965745918310458</td><td>116.80893340942549</td><td>93.38511070057697</td><td>193.51519946646303</td><td>87.41189336997463</td><td>192.4662198505599</td><td>34.468362643531734</td><td>231.95156604008986</td><td>41.40295946625748</td><td>236.2232436919241</td><td>3.228616</td><td>214.48741149902344</td><td>5.3875356</td><td>276.3327697753907</td><td>4.7853255</td><td>444.3018646240237</td><td>6.2887073</td><td>425.1583251953127</td><td>4.734551</td><td>332.949465942383</td><td>8.380675</td><td>380.66919860839886</td><td>6.316718</td><td>348.5218048095703</td><td>12.61597</td><td>330.57894287109383</td><td>0.47240165</td><td>5.502763080596926</td><td>1.0066813</td><td>10.994016265869142</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.8689950555562973</td><td>23.09687404632568</td><td>2.6276588141918182</td><td>15.957546710968018</td><td>1.6832144364066746</td><td>13.997125244140626</td><td>3.2967860595039697</td><td>32.601833724975585</td><td>2.35775479517485</td><td>15.368998718261718</td><td>4.462535356220446</td><td>20.08248901367187</td></tr>\n",
       "<tr><td>8</td><td>67108867</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.116498e-07</td><td>3.652243958640612e-06</td><td>0.1917761</td><td>2.9105380058288586</td><td>3.1480357e-07</td><td>8.426545355177953e-06</td><td>0.34554058</td><td>7.899426841735843</td><td>2.255712e-07</td><td>1.8817618547473098e-05</td><td>0.1778967</td><td>19.63712635040285</td><td>0.019233916</td><td>0.8415525078773503</td><td>0.03631376</td><td>1.2409851312637346</td><td>0.030933714</td><td>1.6446013450622559</td><td>0.057067305</td><td>2.559791326522827</td><td>0.041742314</td><td>2.9294633865356423</td><td>0.07907511</td><td>4.305760383605958</td><td>0.061295513</td><td>4.5308218002319345</td><td>0.11688934</td><td>6.08954982757569</td><td>0.14313455</td><td>5.150067615509034</td><td>0.26823804</td><td>7.3874293804168705</td><td>0.299958</td><td>1.5553952336311343</td><td>0.32712582</td><td>2.0739379882812505</td><td>0.098779015</td><td>3.3188003540039066</td><td>0.106775224</td><td>3.7272247314453155</td><td>0.13028678</td><td>5.742781019210819</td><td>0.14425983</td><td>6.475454950332643</td><td>0.23759793</td><td>13.320282554626464</td><td>0.2605824</td><td>15.416330718994127</td><td>0.9193167643465427</td><td>39.01932521811828</td><td>1.3408030665755548</td><td>35.15277587702323</td><td>2.035468364093632</td><td>67.42069853132313</td><td>1.7942244385608008</td><td>63.240837542327455</td><td>1.9690220553296307</td><td>131.66154338491205</td><td>1.4965745918310458</td><td>116.80893340942549</td><td>93.38511070057697</td><td>193.51519946646303</td><td>87.41189336997463</td><td>192.4662198505599</td><td>34.468362643531734</td><td>231.95156604008986</td><td>41.40295946625748</td><td>236.2232436919241</td><td>3.228616</td><td>214.48741149902344</td><td>5.3875356</td><td>276.3327697753907</td><td>4.7853255</td><td>444.3018646240237</td><td>6.2887073</td><td>425.1583251953127</td><td>4.734551</td><td>332.949465942383</td><td>8.380675</td><td>380.66919860839886</td><td>6.316718</td><td>348.5218048095703</td><td>12.61597</td><td>330.57894287109383</td><td>0.47240165</td><td>5.502763080596926</td><td>1.0066813</td><td>10.994016265869142</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.8689950555562973</td><td>23.09687404632568</td><td>2.6276588141918182</td><td>15.957546710968018</td><td>1.6832144364066746</td><td>13.997125244140626</td><td>3.2967860595039697</td><td>32.601833724975585</td><td>2.35775479517485</td><td>15.368998718261718</td><td>4.462535356220446</td><td>20.08248901367187</td></tr>\n",
       "<tr><td>9</td><td>67108900</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.116498e-07</td><td>3.652243958640612e-06</td><td>0.1917761</td><td>2.9105380058288586</td><td>3.1480357e-07</td><td>8.426545355177953e-06</td><td>0.34554058</td><td>7.899426841735843</td><td>2.255712e-07</td><td>1.8817618547473098e-05</td><td>0.1778967</td><td>19.63712635040285</td><td>0.019233916</td><td>0.8415525078773503</td><td>0.03631376</td><td>1.2409851312637346</td><td>0.030933714</td><td>1.6446013450622559</td><td>0.057067305</td><td>2.559791326522827</td><td>0.041742314</td><td>2.9294633865356423</td><td>0.07907511</td><td>4.305760383605958</td><td>0.061295513</td><td>4.5308218002319345</td><td>0.11688934</td><td>6.08954982757569</td><td>0.14313455</td><td>5.150067615509034</td><td>0.26823804</td><td>7.3874293804168705</td><td>0.299958</td><td>1.5553952336311343</td><td>0.32712582</td><td>2.0739379882812505</td><td>0.098779015</td><td>3.3188003540039066</td><td>0.106775224</td><td>3.7272247314453155</td><td>0.13028678</td><td>5.742781019210819</td><td>0.14425983</td><td>6.475454950332643</td><td>0.23759793</td><td>13.320282554626464</td><td>0.2605824</td><td>15.416330718994127</td><td>0.9193167643465427</td><td>39.01932521811828</td><td>1.3408030665755548</td><td>35.15277587702323</td><td>2.035468364093632</td><td>67.42069853132313</td><td>1.7942244385608008</td><td>63.240837542327455</td><td>1.9690220553296307</td><td>131.66154338491205</td><td>1.4965745918310458</td><td>116.80893340942549</td><td>93.38511070057697</td><td>193.51519946646303</td><td>87.41189336997463</td><td>192.4662198505599</td><td>34.468362643531734</td><td>231.95156604008986</td><td>41.40295946625748</td><td>236.2232436919241</td><td>3.228616</td><td>214.48741149902344</td><td>5.3875356</td><td>276.3327697753907</td><td>4.7853255</td><td>444.3018646240237</td><td>6.2887073</td><td>425.1583251953127</td><td>4.734551</td><td>332.949465942383</td><td>8.380675</td><td>380.66919860839886</td><td>6.316718</td><td>348.5218048095703</td><td>12.61597</td><td>330.57894287109383</td><td>0.47240165</td><td>5.502763080596926</td><td>1.0066813</td><td>10.994016265869142</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.8689950555562973</td><td>23.09687404632568</td><td>2.6276588141918182</td><td>15.957546710968018</td><td>1.6832144364066746</td><td>13.997125244140626</td><td>3.2967860595039697</td><td>32.601833724975585</td><td>2.35775479517485</td><td>15.368998718261718</td><td>4.462535356220446</td><td>20.08248901367187</td></tr>\n",
       "</table><style>table.dataTable {clear: both; width: auto !important; margin: 0 !important;}\n",
       ".dataTables_info, .dataTables_length, .dataTables_filter, .dataTables_paginate{\n",
       "display: inline-block; margin-right: 1em; }\n",
       ".paginate_button { margin-right: 5px; }\n",
       "</style>\n",
       "<script>\n",
       "\n",
       "var astropy_sort_num = function(a, b) {\n",
       "    var a_num = parseFloat(a);\n",
       "    var b_num = parseFloat(b);\n",
       "\n",
       "    if (isNaN(a_num) && isNaN(b_num))\n",
       "        return ((a < b) ? -1 : ((a > b) ? 1 : 0));\n",
       "    else if (!isNaN(a_num) && !isNaN(b_num))\n",
       "        return ((a_num < b_num) ? -1 : ((a_num > b_num) ? 1 : 0));\n",
       "    else\n",
       "        return isNaN(a_num) ? -1 : 1;\n",
       "}\n",
       "\n",
       "require.config({paths: {\n",
       "    datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min'\n",
       "}});\n",
       "require([\"datatables\"], function(){\n",
       "    console.log(\"$('#table140622257013760-374121').dataTable()\");\n",
       "    \n",
       "jQuery.extend( jQuery.fn.dataTableExt.oSort, {\n",
       "    \"optionalnum-asc\": astropy_sort_num,\n",
       "    \"optionalnum-desc\": function (a,b) { return -astropy_sort_num(a, b); }\n",
       "});\n",
       "\n",
       "    $('#table140622257013760-374121').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 50,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for col in master_catalogue.colnames:\n",
    "    if col.startswith(\"f_\"):\n",
    "        errcol = \"ferr{}\".format(col[1:])\n",
    "        depths = join(depths, \n",
    "                      group[\"hp_idx_O_{}\".format(str(ORDER)), errcol].groups.aggregate(np.nanmean),\n",
    "                     join_type='left')\n",
    "        depths[errcol].name = errcol + \"_mean\"\n",
    "        depths = join(depths, \n",
    "                      group[\"hp_idx_O_{}\".format(str(ORDER)), col].groups.aggregate(lambda x: np.nanpercentile(x, 90.)),\n",
    "                     join_type='left')\n",
    "        depths[col].name = col + \"_p90\"\n",
    "\n",
    "depths[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## III - Save the depth map table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "depths.write(\"{}/depths_{}_{}.fits\".format(OUT_DIR, FIELD.lower(), SUFFIX))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IV - Overview plots\n",
    "\n",
    "### IV.a - Filters\n",
    "First we simply plot all the filters available on this field to give an overview of coverage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'decam_g',\n",
       " 'decam_r',\n",
       " 'decam_z',\n",
       " 'gpc1_g',\n",
       " 'gpc1_i',\n",
       " 'gpc1_r',\n",
       " 'gpc1_y',\n",
       " 'gpc1_z',\n",
       " 'megacam_g',\n",
       " 'megacam_i',\n",
       " 'megacam_r',\n",
       " 'megacam_u',\n",
       " 'megacam_z',\n",
       " 'omegacam_g',\n",
       " 'omegacam_i',\n",
       " 'omegacam_r',\n",
       " 'omegacam_u',\n",
       " 'suprime_g',\n",
       " 'suprime_i',\n",
       " 'suprime_r',\n",
       " 'suprime_y',\n",
       " 'suprime_z',\n",
       " 'ukidss_h',\n",
       " 'ukidss_j',\n",
       " 'ukidss_k',\n",
       " 'ukidss_y',\n",
       " 'vista_h',\n",
       " 'vista_j',\n",
       " 'vista_ks',\n",
       " 'vista_y',\n",
       " 'vista_z'}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tot_bands = [column[2:] for column in master_catalogue.colnames \n",
    "             if (column.startswith('f_') & ~column.startswith('f_ap_'))]\n",
    "ap_bands = [column[5:] for column in master_catalogue.colnames \n",
    "            if column.startswith('f_ap_') ]\n",
    "bands = set(tot_bands) | set(ap_bands)\n",
    "bands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Passbands on GAMA-09')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for b in bands:\n",
    "    plt.plot(Table(data = parse_single_table(FILTERS_DIR + b + '.xml').array.data)['Wavelength']\n",
    "            ,Table(data = parse_single_table(FILTERS_DIR + b + '.xml').array.data)['Transmission']\n",
    "            , label=b)\n",
    "plt.xlabel('Wavelength ($\\AA$)')\n",
    "plt.ylabel('Transmission')\n",
    "plt.xscale('log')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "plt.title('Passbands on {}'.format(FIELD))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### IV.a - Depth overview\n",
    "Then we plot the mean depths available across the area a given band is available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "megacam_u: mean flux error: 0.06001316383481026, 3sigma in AB mag (Aperture): 25.761580555834833\n",
      "megacam_g: mean flux error: 0.04263300448656082, 3sigma in AB mag (Aperture): 26.132832013523235\n",
      "megacam_r: mean flux error: 0.07640354335308075, 3sigma in AB mag (Aperture): 25.49941311260566\n",
      "megacam_i: mean flux error: 0.11145462840795517, 3sigma in AB mag (Aperture): 25.089451592548777\n",
      "megacam_z: mean flux error: 0.24109889566898346, 3sigma in AB mag (Aperture): 24.251708810359297\n",
      "decam_g: mean flux error: 2.755250534391962e-07, 3sigma in AB mag (Aperture): 39.10679412496186\n",
      "decam_r: mean flux error: 4.143452372318279e-07, 3sigma in AB mag (Aperture): 38.66379098537599\n",
      "decam_z: mean flux error: 9.148930644187203e-07, 3sigma in AB mag (Aperture): 37.80377102488412\n",
      "suprime_g: mean flux error: inf, 3sigma in AB mag (Aperture): -inf\n",
      "suprime_r: mean flux error: inf, 3sigma in AB mag (Aperture): -inf\n",
      "suprime_i: mean flux error: 0.04259403422474861, 3sigma in AB mag (Aperture): 26.133824924405666\n",
      "suprime_z: mean flux error: 0.06838009506464005, 3sigma in AB mag (Aperture): 25.619872612616085\n",
      "suprime_y: mean flux error: 0.13980890810489655, 3sigma in AB mag (Aperture): 24.843359753390082\n",
      "omegacam_u: mean flux error: 0.23172791302204132, 3sigma in AB mag (Aperture): 24.29475098738684\n",
      "omegacam_g: mean flux error: 0.09827630966901779, 3sigma in AB mag (Aperture): 25.226074762923524\n",
      "omegacam_r: mean flux error: 0.10228602588176727, 3sigma in AB mag (Aperture): 25.182656099960973\n",
      "omegacam_i: mean flux error: 0.35833290219306946, 3sigma in AB mag (Aperture): 23.821480145710133\n",
      "gpc1_g: mean flux error: 29.589131192044412, 3sigma in AB mag (Aperture): 19.029366329653804\n",
      "gpc1_r: mean flux error: 9.615837262844897, 3sigma in AB mag (Aperture): 20.249729101254296\n",
      "gpc1_i: mean flux error: 120.43076068463053, 3sigma in AB mag (Aperture): 17.505353289390264\n",
      "gpc1_z: mean flux error: 128.73286659960064, 3sigma in AB mag (Aperture): 17.432973262828362\n",
      "gpc1_y: mean flux error: 46.23208883404382, 3sigma in AB mag (Aperture): 18.544838073332393\n",
      "ukidss_y: mean flux error: 3.805072069168091, 3sigma in AB mag (Aperture): 21.256289646081136\n",
      "ukidss_j: mean flux error: 4.7073259353637695, 3sigma in AB mag (Aperture): 21.025261188430044\n",
      "ukidss_h: mean flux error: 5.433945655822754, 3sigma in AB mag (Aperture): 20.869408636247137\n",
      "ukidss_k: mean flux error: 6.127557277679443, 3sigma in AB mag (Aperture): 20.73897841436409\n",
      "vista_z: mean flux error: 0.6562223434448242, 3sigma in AB mag (Aperture): 23.164569329660672\n",
      "vista_y: mean flux error: 1.5562821689480606, 3sigma in AB mag (Aperture): 22.226976009286467\n",
      "vista_j: mean flux error: 2.1356934335230027, 3sigma in AB mag (Aperture): 21.883349582296184\n",
      "vista_h: mean flux error: 3.1928191120449823, 3sigma in AB mag (Aperture): 21.446761077082435\n",
      "vista_ks: mean flux error: 3.644612961559255, 3sigma in AB mag (Aperture): 21.30306832483324\n",
      "megacam_u: mean flux error: 0.07429558166859748, 3sigma in AB mag (Total): 25.52978939521943\n",
      "megacam_g: mean flux error: 0.058633667782351004, 3sigma in AB mag (Total): 25.786829208251653\n",
      "megacam_r: mean flux error: 0.10418303108069382, 3sigma in AB mag (Total): 25.16270439180321\n",
      "megacam_i: mean flux error: 0.14648311624732832, 3sigma in AB mag (Total): 24.792727937024644\n",
      "megacam_z: mean flux error: 0.3099865676724861, 3sigma in AB mag (Total): 23.978839674680536\n",
      "decam_g: mean flux error: 20439098.0, 3sigma in AB mag (Total): 4.431042548226436\n",
      "decam_r: mean flux error: 11573.4365234375, 3sigma in AB mag (Total): 12.548541028145607\n",
      "decam_z: mean flux error: 33975.48046875, 3sigma in AB mag (Total): 11.379282845498828\n",
      "suprime_g: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "suprime_r: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "suprime_i: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "suprime_z: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "suprime_y: mean flux error: 0.26284706592559814, 3sigma in AB mag (Total): 24.157939029459335\n",
      "omegacam_u: mean flux error: 0.2946048974990845, 3sigma in AB mag (Total): 24.034096957552542\n",
      "omegacam_g: mean flux error: 0.1202227920293808, 3sigma in AB mag (Total): 25.007229838912373\n",
      "omegacam_r: mean flux error: 0.12768588960170746, 3sigma in AB mag (Total): 24.941839596681028\n",
      "omegacam_i: mean flux error: 0.47057148814201355, 3sigma in AB mag (Total): 23.52563283870662\n",
      "gpc1_g: mean flux error: 47.38078680646244, 3sigma in AB mag (Total): 18.51819119232328\n",
      "gpc1_r: mean flux error: 11.63194498616533, 3sigma in AB mag (Total): 20.043066014442097\n",
      "gpc1_i: mean flux error: 75.45866666827068, 3sigma in AB mag (Total): 18.01292404549799\n",
      "gpc1_z: mean flux error: 106.25462729974325, 3sigma in AB mag (Total): 17.641327232465905\n",
      "gpc1_y: mean flux error: 41.98654094162309, 3sigma in AB mag (Total): 18.64942162122646\n",
      "ukidss_y: mean flux error: 6.0485992431640625, 3sigma in AB mag (Total): 20.753059836239025\n",
      "ukidss_j: mean flux error: 6.344705104827881, 3sigma in AB mag (Total): 20.70116825981996\n",
      "ukidss_h: mean flux error: 9.80788516998291, 3sigma in AB mag (Total): 20.2282584319123\n",
      "ukidss_k: mean flux error: 11.196520805358887, 3sigma in AB mag (Total): 20.084489134599558\n",
      "vista_z: mean flux error: 1.3729348182678223, 3sigma in AB mag (Total): 22.363072065517862\n",
      "vista_y: mean flux error: 3.0272901248787965, 3sigma in AB mag (Total): 21.504561752669296\n",
      "vista_j: mean flux error: 4.565136318476364, 3sigma in AB mag (Total): 21.0585624871241\n",
      "vista_h: mean flux error: 7.1035819264453375, 3sigma in AB mag (Total): 20.5785033792125\n",
      "vista_ks: mean flux error: 8.312054826216114, 3sigma in AB mag (Total): 20.407925865301145\n"
     ]
    }
   ],
   "source": [
    "average_depths = []\n",
    "for b in ap_bands:\n",
    "    \n",
    "    mean_err = np.nanmean(depths['ferr_ap_{}_mean'.format(b)])\n",
    "    print(\"{}: mean flux error: {}, 3sigma in AB mag (Aperture): {}\".format(b, mean_err, flux_to_mag(3.0*mean_err*1.e-6)[0]))\n",
    "    average_depths += [('ap_' + b, flux_to_mag(1.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(3.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(5.0*mean_err*1.e-6)[0])]\n",
    "    \n",
    "for b in tot_bands:\n",
    "    \n",
    "    mean_err = np.nanmean(depths['ferr_{}_mean'.format(b)])\n",
    "    print(\"{}: mean flux error: {}, 3sigma in AB mag (Total): {}\".format(b, mean_err, flux_to_mag(3.0*mean_err*1.e-6)[0]))\n",
    "    average_depths += [(b, flux_to_mag(1.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(3.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(5.0*mean_err*1.e-6)[0])]\n",
    "    \n",
    "average_depths = np.array(average_depths,  dtype=[('band', \"<U16\"), ('1s', float), ('3s', float), ('5s', float)])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def FWHM(X,Y):\n",
    "    \n",
    "    half_max = max(Y) / 2.\n",
    "    #find when function crosses line half_max (when sign of diff flips)\n",
    "    #take the 'derivative' of signum(half_max - Y[])\n",
    "    d = half_max - Y\n",
    "    #plot(X,d) #if you are interested\n",
    "    #find the left and right most indexes\n",
    "    low_end = X[np.where(d < 0)[0][0]]\n",
    "    high_end = X[np.where(d < 0)[0][-1]]\n",
    "    return low_end, high_end, (high_end - low_end)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = []\n",
    "\n",
    "for b in ap_bands:\n",
    "    data += [['ap_' + b, Table(data = parse_single_table(FILTERS_DIR + b +'.xml').array.data)]]\n",
    "    \n",
    "for b in tot_bands:\n",
    "    data += [[b, Table(data = parse_single_table(FILTERS_DIR + b +'.xml').array.data)]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ap_megacam_u (3500.0, 4100.0, 600.0)\n",
      "ap_megacam_g (4180.0, 5580.0, 1400.0)\n",
      "ap_megacam_r (5680.0, 6880.0, 1200.0)\n",
      "ap_megacam_i (6831.7305, 8388.556, 1556.8252)\n",
      "ap_megacam_z (8280.0, 9160.0, 880.0)\n",
      "ap_decam_g (4180.0, 5470.0, 1290.0)\n",
      "ap_decam_r (5680.0, 7150.0, 1470.0)\n",
      "ap_decam_z (8490.0, 9960.0, 1470.0)\n",
      "ap_suprime_g (4090.0, 5460.0, 1370.0)\n",
      "ap_suprime_r (5440.0, 6960.0, 1520.0)\n",
      "ap_suprime_i (6980.0, 8420.0, 1440.0)\n",
      "ap_suprime_z (8540.0, 9280.0, 740.0)\n",
      "ap_suprime_y (9360.0, 10120.0, 760.0)\n",
      "ap_omegacam_u (3296.7, 3807.9, 511.19995)\n",
      "ap_omegacam_g (4077.9, 5369.7, 1291.8003)\n",
      "ap_omegacam_r (5640.7, 6962.8, 1322.0996)\n",
      "ap_omegacam_i (6841.5, 8373.8, 1532.2998)\n",
      "ap_gpc1_g (4260.0, 5500.0, 1240.0)\n",
      "ap_gpc1_r (5500.0, 6900.0, 1400.0)\n",
      "ap_gpc1_i (6910.0, 8190.0, 1280.0)\n",
      "ap_gpc1_z (8190.0, 9210.0, 1020.0)\n",
      "ap_gpc1_y (9200.0, 9820.0, 620.0)\n",
      "ap_ukidss_y (9790.0, 10820.0, 1030.0)\n",
      "ap_ukidss_j (11695.0, 13280.0, 1585.0)\n",
      "ap_ukidss_h (14925.0, 17840.0, 2915.0)\n",
      "ap_ukidss_k (20290.0, 23820.0, 3530.0)\n",
      "ap_vista_z (8300.0, 9260.0, 960.0)\n",
      "ap_vista_y (9740.0, 10660.0, 920.0)\n",
      "ap_vista_j (11670.0, 13380.0, 1710.0)\n",
      "ap_vista_h (15000.0, 17900.0, 2900.0)\n",
      "ap_vista_ks (19930.0, 23010.0, 3080.0)\n",
      "megacam_u (3500.0, 4100.0, 600.0)\n",
      "megacam_g (4180.0, 5580.0, 1400.0)\n",
      "megacam_r (5680.0, 6880.0, 1200.0)\n",
      "megacam_i (6831.7305, 8388.556, 1556.8252)\n",
      "megacam_z (8280.0, 9160.0, 880.0)\n",
      "decam_g (4180.0, 5470.0, 1290.0)\n",
      "decam_r (5680.0, 7150.0, 1470.0)\n",
      "decam_z (8490.0, 9960.0, 1470.0)\n",
      "suprime_g (4090.0, 5460.0, 1370.0)\n",
      "suprime_r (5440.0, 6960.0, 1520.0)\n",
      "suprime_i (6980.0, 8420.0, 1440.0)\n",
      "suprime_z (8540.0, 9280.0, 740.0)\n",
      "suprime_y (9360.0, 10120.0, 760.0)\n",
      "omegacam_u (3296.7, 3807.9, 511.19995)\n",
      "omegacam_g (4077.9, 5369.7, 1291.8003)\n",
      "omegacam_r (5640.7, 6962.8, 1322.0996)\n",
      "omegacam_i (6841.5, 8373.8, 1532.2998)\n",
      "gpc1_g (4260.0, 5500.0, 1240.0)\n",
      "gpc1_r (5500.0, 6900.0, 1400.0)\n",
      "gpc1_i (6910.0, 8190.0, 1280.0)\n",
      "gpc1_z (8190.0, 9210.0, 1020.0)\n",
      "gpc1_y (9200.0, 9820.0, 620.0)\n",
      "ukidss_y (9790.0, 10820.0, 1030.0)\n",
      "ukidss_j (11695.0, 13280.0, 1585.0)\n",
      "ukidss_h (14925.0, 17840.0, 2915.0)\n",
      "ukidss_k (20290.0, 23820.0, 3530.0)\n",
      "vista_z (8300.0, 9260.0, 960.0)\n",
      "vista_y (9740.0, 10660.0, 920.0)\n",
      "vista_j (11670.0, 13380.0, 1710.0)\n",
      "vista_h (15000.0, 17900.0, 2900.0)\n",
      "vista_ks (19930.0, 23010.0, 3080.0)\n"
     ]
    }
   ],
   "source": [
    "wav_range = []\n",
    "for dat in data:\n",
    "    print(dat[0], FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission'])))\n",
    "    wav_range += [[dat[0], FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths on GAMA-09')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dat in data:\n",
    "    wav_deets = FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))\n",
    "    depth = average_depths['5s'][average_depths['band'] == dat[0]]\n",
    "    #print(depth)\n",
    "    plt.plot([wav_deets[0],wav_deets[1]], [depth,depth], label=dat[0])\n",
    "    \n",
    "plt.xlabel('Wavelength ($\\AA$)')\n",
    "plt.ylabel('Depth')\n",
    "plt.xscale('log')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "plt.title('Depths on {}'.format(FIELD))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### IV.c - Depth vs coverage comparison\n",
    "\n",
    "How best to do this? Colour/intensity plot over area? Percentage coverage vs mean depth?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths (5 $\\\\sigma$) vs coverage on GAMA-09')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dat in data:\n",
    "    wav_deets = FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))\n",
    "    depth = average_depths['5s'][average_depths['band'] == dat[0]]\n",
    "    #print(depth)\n",
    "    coverage = np.sum(~np.isnan(depths['ferr_{}_mean'.format(dat[0])]))/len(depths)\n",
    "    plt.plot(coverage, depth, 'x', label=dat[0])\n",
    "    \n",
    "plt.xlabel('Coverage')\n",
    "plt.ylabel('Depth')\n",
    "#plt.xscale('log')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "plt.title('Depths (5 $\\sigma$) vs coverage on {}'.format(FIELD))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (herschelhelp_internal)",
   "language": "python",
   "name": "helpint"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}