{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# EGS 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": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was run with herschelhelp_internal version: \n",
      "017bb1e (Mon Jun 18 14:58:59 2018 +0100)\n",
      "This notebook was executed on: \n",
      "2018-06-24 19:41:07.427536\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,
    "deletable": true,
    "editable": 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,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "FIELD = 'EGS'\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": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Depth maps produced using: master_catalogue_egs_20180501.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": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Remove sources whose signal to noise ratio is less than five as these will have been selected using forced \n",
    "# photometry and so the errors will not refelct the RMS of the map \n",
    "for n,col in enumerate(master_catalogue.colnames):\n",
    "    if col.startswith(\"f_\"):\n",
    "        err_col = \"ferr{}\".format(col[1:])\n",
    "        errs = master_catalogue[err_col]\n",
    "        fluxes = master_catalogue[col]\n",
    "        mask = fluxes/errs < 5.0\n",
    "        master_catalogue[col][mask] = np.nan\n",
    "        master_catalogue[err_col][mask] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "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": 6,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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": 7,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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": 8,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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": {
    "deletable": true,
    "editable": true
   },
   "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": 9,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "depths = Table()\n",
    "depths['hp_idx_O_13'] = list(field_moc.flattened(13))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=10</i>\n",
       "<table id=\"table140218938488032-461763\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>idx</th><th>hp_idx_O_13</th></tr></thead>\n",
       "<tr><td>0</td><td>187171466</td></tr>\n",
       "<tr><td>1</td><td>187171467</td></tr>\n",
       "<tr><td>2</td><td>187171470</td></tr>\n",
       "<tr><td>3</td><td>187171483</td></tr>\n",
       "<tr><td>4</td><td>187171488</td></tr>\n",
       "<tr><td>5</td><td>187171489</td></tr>\n",
       "<tr><td>6</td><td>187171490</td></tr>\n",
       "<tr><td>7</td><td>187171491</td></tr>\n",
       "<tr><td>8</td><td>187171492</td></tr>\n",
       "<tr><td>9</td><td>187171493</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(\"$('#table140218938488032-461763').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",
       "    $('#table140218938488032-461763').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], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "depths[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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",
    "                 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=10</i>\n",
       "<table id=\"table140218938487024-802745\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>idx</th><th>hp_idx_O_13</th><th>hp_idx_O_10</th></tr></thead>\n",
       "<tr><td>0</td><td>187171466</td><td>2924554</td></tr>\n",
       "<tr><td>1</td><td>187171467</td><td>2924554</td></tr>\n",
       "<tr><td>2</td><td>187171470</td><td>2924554</td></tr>\n",
       "<tr><td>3</td><td>187171483</td><td>2924554</td></tr>\n",
       "<tr><td>4</td><td>187171488</td><td>2924554</td></tr>\n",
       "<tr><td>5</td><td>187171489</td><td>2924554</td></tr>\n",
       "<tr><td>6</td><td>187171490</td><td>2924554</td></tr>\n",
       "<tr><td>7</td><td>187171491</td><td>2924554</td></tr>\n",
       "<tr><td>8</td><td>187171492</td><td>2924554</td></tr>\n",
       "<tr><td>9</td><td>187171493</td><td>2924554</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(\"$('#table140218938487024-802745').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",
       "    $('#table140218938487024-802745').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], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "depths[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=10</i>\n",
       "<table id=\"table140217476984112-331295\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>idx</th><th>hp_idx_O_13</th><th>hp_idx_O_10</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_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_acs_f606w_mean</th><th>f_ap_acs_f606w_p90</th><th>ferr_acs_f606w_mean</th><th>f_acs_f606w_p90</th><th>ferr_ap_acs_f814w_mean</th><th>f_ap_acs_f814w_p90</th><th>ferr_acs_f814w_mean</th><th>f_acs_f814w_p90</th><th>ferr_ap_wfc3_f125w_mean</th><th>f_ap_wfc3_f125w_p90</th><th>ferr_wfc3_f125w_mean</th><th>f_wfc3_f125w_p90</th><th>ferr_ap_wfc3_f140w_mean</th><th>f_ap_wfc3_f140w_p90</th><th>ferr_wfc3_f140w_mean</th><th>f_wfc3_f140w_p90</th><th>ferr_ap_wfc3_f160w_mean</th><th>f_ap_wfc3_f160w_p90</th><th>ferr_wfc3_f160w_mean</th><th>f_wfc3_f160w_p90</th><th>ferr_ap_newfirm_j1_mean</th><th>f_ap_newfirm_j1_p90</th><th>ferr_newfirm_j1_mean</th><th>f_newfirm_j1_p90</th><th>ferr_ap_newfirm_j2_mean</th><th>f_ap_newfirm_j2_p90</th><th>ferr_newfirm_j2_mean</th><th>f_newfirm_j2_p90</th><th>ferr_ap_newfirm_j3_mean</th><th>f_ap_newfirm_j3_p90</th><th>ferr_newfirm_j3_mean</th><th>f_newfirm_j3_p90</th><th>ferr_ap_newfirm_h1_mean</th><th>f_ap_newfirm_h1_p90</th><th>ferr_newfirm_h1_mean</th><th>f_newfirm_h1_p90</th><th>ferr_ap_newfirm_h2_mean</th><th>f_ap_newfirm_h2_p90</th><th>ferr_newfirm_h2_mean</th><th>f_newfirm_h2_p90</th><th>ferr_ap_newfirm_k_mean</th><th>f_ap_newfirm_k_p90</th><th>ferr_newfirm_k_mean</th><th>f_newfirm_k_p90</th><th>ferr_ap_90prime_g_mean</th><th>f_ap_90prime_g_p90</th><th>ferr_90prime_g_mean</th><th>f_90prime_g_p90</th><th>ferr_ap_90prime_r_mean</th><th>f_ap_90prime_r_p90</th><th>ferr_90prime_r_mean</th><th>f_90prime_r_p90</th><th>ferr_ap_mosaic_z_mean</th><th>f_ap_mosaic_z_p90</th><th>ferr_mosaic_z_mean</th><th>f_mosaic_z_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_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_wircam_j_mean</th><th>f_ap_wircam_j_p90</th><th>ferr_wircam_j_mean</th><th>f_wircam_j_p90</th><th>ferr_ap_wircam_h_mean</th><th>f_ap_wircam_h_p90</th><th>ferr_wircam_h_mean</th><th>f_wircam_h_p90</th><th>ferr_ap_wircam_ks_mean</th><th>f_ap_wircam_ks_p90</th><th>ferr_wircam_ks_mean</th><th>f_wircam_ks_p90</th><th>ferr_ap_wircs_j_mean</th><th>f_ap_wircs_j_p90</th><th>ferr_wircs_j_mean</th><th>f_wircs_j_p90</th><th>ferr_ap_wircs_k_mean</th><th>f_ap_wircs_k_p90</th><th>ferr_wircs_k_mean</th><th>f_wircs_k_p90</th><th>ferr_nicmos_f160w_mean</th><th>f_nicmos_f160w_p90</th><th>ferr_omega2000_j_mean</th><th>f_omega2000_j_p90</th><th>ferr_mmt_u_mean</th><th>f_mmt_u_p90</th><th>ferr_irac_i4_mean</th><th>f_irac_i4_p90</th><th>ferr_mmt_z_mean</th><th>f_mmt_z_p90</th><th>ferr_suprime_rc_mean</th><th>f_suprime_rc_p90</th><th>ferr_irac_i3_mean</th><th>f_irac_i3_p90</th><th>ferr_omega2000_ks_mean</th><th>f_omega2000_ks_p90</th><th>ferr_nicmos_f110w_mean</th><th>f_nicmos_f110w_p90</th><th>ferr_cfht12k_r_mean</th><th>f_cfht12k_r_p90</th><th>ferr_cfht12k_b_mean</th><th>f_cfht12k_b_p90</th><th>ferr_mmt_g_mean</th><th>f_mmt_g_p90</th><th>ferr_irac_i1_mean</th><th>f_irac_i1_p90</th><th>ferr_cfht12k_i_mean</th><th>f_cfht12k_i_p90</th><th>ferr_moircs_ks_mean</th><th>f_moircs_ks_p90</th><th>ferr_irac_i2_mean</th><th>f_irac_i2_p90</th><th>ferr_mmt_i_mean</th><th>f_mmt_i_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>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</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>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>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><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>175984511</td><td>2749757</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>0.97028195919044</td><td>375.63890865933445</td><td>1.5117836147318509</td><td>363.1183574934234</td><td>1.4654899156068515</td><td>493.0857589410574</td><td>1.4939534576393725</td><td>453.7128113905537</td><td>2.030616241312015</td><td>366.57945612581017</td><td>2.181316079486908</td><td>345.1367612066171</td><td>2.9802742879262745</td><td>448.39288317624465</td><td>3.466277236768193</td><td>39.18858995910794</td><td>5.887750344008503</td><td>2344.356342658157</td><td>7.2445153350474625</td><td>2210.9885317780295</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>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>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994184</td><td>12.564730262756349</td><td>0.45626122</td><td>180.5903747558595</td><td>0.4181562</td><td>20.171302795410156</td><td>3.186931</td><td>25.76273517608643</td><td>1.3628618</td><td>51.41315231323243</td><td>2.8196554</td><td>54.464359283447266</td><td>7.8092985</td><td>3421.484857177735</td><td>15.61349</td><td>5541.52099609375</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>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>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>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></tr>\n",
       "<tr><td>1</td><td>175984506</td><td>2749757</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>0.97028195919044</td><td>375.63890865933445</td><td>1.5117836147318509</td><td>363.1183574934234</td><td>1.4654899156068515</td><td>493.0857589410574</td><td>1.4939534576393725</td><td>453.7128113905537</td><td>2.030616241312015</td><td>366.57945612581017</td><td>2.181316079486908</td><td>345.1367612066171</td><td>2.9802742879262745</td><td>448.39288317624465</td><td>3.466277236768193</td><td>39.18858995910794</td><td>5.887750344008503</td><td>2344.356342658157</td><td>7.2445153350474625</td><td>2210.9885317780295</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>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>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994184</td><td>12.564730262756349</td><td>0.45626122</td><td>180.5903747558595</td><td>0.4181562</td><td>20.171302795410156</td><td>3.186931</td><td>25.76273517608643</td><td>1.3628618</td><td>51.41315231323243</td><td>2.8196554</td><td>54.464359283447266</td><td>7.8092985</td><td>3421.484857177735</td><td>15.61349</td><td>5541.52099609375</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>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>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>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></tr>\n",
       "<tr><td>2</td><td>175984510</td><td>2749757</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>0.97028195919044</td><td>375.63890865933445</td><td>1.5117836147318509</td><td>363.1183574934234</td><td>1.4654899156068515</td><td>493.0857589410574</td><td>1.4939534576393725</td><td>453.7128113905537</td><td>2.030616241312015</td><td>366.57945612581017</td><td>2.181316079486908</td><td>345.1367612066171</td><td>2.9802742879262745</td><td>448.39288317624465</td><td>3.466277236768193</td><td>39.18858995910794</td><td>5.887750344008503</td><td>2344.356342658157</td><td>7.2445153350474625</td><td>2210.9885317780295</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>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>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994184</td><td>12.564730262756349</td><td>0.45626122</td><td>180.5903747558595</td><td>0.4181562</td><td>20.171302795410156</td><td>3.186931</td><td>25.76273517608643</td><td>1.3628618</td><td>51.41315231323243</td><td>2.8196554</td><td>54.464359283447266</td><td>7.8092985</td><td>3421.484857177735</td><td>15.61349</td><td>5541.52099609375</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>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>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>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></tr>\n",
       "<tr><td>3</td><td>175984509</td><td>2749757</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>0.97028195919044</td><td>375.63890865933445</td><td>1.5117836147318509</td><td>363.1183574934234</td><td>1.4654899156068515</td><td>493.0857589410574</td><td>1.4939534576393725</td><td>453.7128113905537</td><td>2.030616241312015</td><td>366.57945612581017</td><td>2.181316079486908</td><td>345.1367612066171</td><td>2.9802742879262745</td><td>448.39288317624465</td><td>3.466277236768193</td><td>39.18858995910794</td><td>5.887750344008503</td><td>2344.356342658157</td><td>7.2445153350474625</td><td>2210.9885317780295</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>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>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994184</td><td>12.564730262756349</td><td>0.45626122</td><td>180.5903747558595</td><td>0.4181562</td><td>20.171302795410156</td><td>3.186931</td><td>25.76273517608643</td><td>1.3628618</td><td>51.41315231323243</td><td>2.8196554</td><td>54.464359283447266</td><td>7.8092985</td><td>3421.484857177735</td><td>15.61349</td><td>5541.52099609375</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>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>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>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></tr>\n",
       "<tr><td>4</td><td>175984508</td><td>2749757</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>0.97028195919044</td><td>375.63890865933445</td><td>1.5117836147318509</td><td>363.1183574934234</td><td>1.4654899156068515</td><td>493.0857589410574</td><td>1.4939534576393725</td><td>453.7128113905537</td><td>2.030616241312015</td><td>366.57945612581017</td><td>2.181316079486908</td><td>345.1367612066171</td><td>2.9802742879262745</td><td>448.39288317624465</td><td>3.466277236768193</td><td>39.18858995910794</td><td>5.887750344008503</td><td>2344.356342658157</td><td>7.2445153350474625</td><td>2210.9885317780295</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>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>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994184</td><td>12.564730262756349</td><td>0.45626122</td><td>180.5903747558595</td><td>0.4181562</td><td>20.171302795410156</td><td>3.186931</td><td>25.76273517608643</td><td>1.3628618</td><td>51.41315231323243</td><td>2.8196554</td><td>54.464359283447266</td><td>7.8092985</td><td>3421.484857177735</td><td>15.61349</td><td>5541.52099609375</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>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>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>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></tr>\n",
       "<tr><td>5</td><td>175984507</td><td>2749757</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>0.97028195919044</td><td>375.63890865933445</td><td>1.5117836147318509</td><td>363.1183574934234</td><td>1.4654899156068515</td><td>493.0857589410574</td><td>1.4939534576393725</td><td>453.7128113905537</td><td>2.030616241312015</td><td>366.57945612581017</td><td>2.181316079486908</td><td>345.1367612066171</td><td>2.9802742879262745</td><td>448.39288317624465</td><td>3.466277236768193</td><td>39.18858995910794</td><td>5.887750344008503</td><td>2344.356342658157</td><td>7.2445153350474625</td><td>2210.9885317780295</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>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>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994184</td><td>12.564730262756349</td><td>0.45626122</td><td>180.5903747558595</td><td>0.4181562</td><td>20.171302795410156</td><td>3.186931</td><td>25.76273517608643</td><td>1.3628618</td><td>51.41315231323243</td><td>2.8196554</td><td>54.464359283447266</td><td>7.8092985</td><td>3421.484857177735</td><td>15.61349</td><td>5541.52099609375</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>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>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>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></tr>\n",
       "<tr><td>6</td><td>175984502</td><td>2749757</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>0.97028195919044</td><td>375.63890865933445</td><td>1.5117836147318509</td><td>363.1183574934234</td><td>1.4654899156068515</td><td>493.0857589410574</td><td>1.4939534576393725</td><td>453.7128113905537</td><td>2.030616241312015</td><td>366.57945612581017</td><td>2.181316079486908</td><td>345.1367612066171</td><td>2.9802742879262745</td><td>448.39288317624465</td><td>3.466277236768193</td><td>39.18858995910794</td><td>5.887750344008503</td><td>2344.356342658157</td><td>7.2445153350474625</td><td>2210.9885317780295</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>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>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994184</td><td>12.564730262756349</td><td>0.45626122</td><td>180.5903747558595</td><td>0.4181562</td><td>20.171302795410156</td><td>3.186931</td><td>25.76273517608643</td><td>1.3628618</td><td>51.41315231323243</td><td>2.8196554</td><td>54.464359283447266</td><td>7.8092985</td><td>3421.484857177735</td><td>15.61349</td><td>5541.52099609375</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>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>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>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></tr>\n",
       "<tr><td>7</td><td>175984501</td><td>2749757</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>0.97028195919044</td><td>375.63890865933445</td><td>1.5117836147318509</td><td>363.1183574934234</td><td>1.4654899156068515</td><td>493.0857589410574</td><td>1.4939534576393725</td><td>453.7128113905537</td><td>2.030616241312015</td><td>366.57945612581017</td><td>2.181316079486908</td><td>345.1367612066171</td><td>2.9802742879262745</td><td>448.39288317624465</td><td>3.466277236768193</td><td>39.18858995910794</td><td>5.887750344008503</td><td>2344.356342658157</td><td>7.2445153350474625</td><td>2210.9885317780295</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>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>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994184</td><td>12.564730262756349</td><td>0.45626122</td><td>180.5903747558595</td><td>0.4181562</td><td>20.171302795410156</td><td>3.186931</td><td>25.76273517608643</td><td>1.3628618</td><td>51.41315231323243</td><td>2.8196554</td><td>54.464359283447266</td><td>7.8092985</td><td>3421.484857177735</td><td>15.61349</td><td>5541.52099609375</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>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>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>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></tr>\n",
       "<tr><td>8</td><td>175984499</td><td>2749757</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>0.97028195919044</td><td>375.63890865933445</td><td>1.5117836147318509</td><td>363.1183574934234</td><td>1.4654899156068515</td><td>493.0857589410574</td><td>1.4939534576393725</td><td>453.7128113905537</td><td>2.030616241312015</td><td>366.57945612581017</td><td>2.181316079486908</td><td>345.1367612066171</td><td>2.9802742879262745</td><td>448.39288317624465</td><td>3.466277236768193</td><td>39.18858995910794</td><td>5.887750344008503</td><td>2344.356342658157</td><td>7.2445153350474625</td><td>2210.9885317780295</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>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>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994184</td><td>12.564730262756349</td><td>0.45626122</td><td>180.5903747558595</td><td>0.4181562</td><td>20.171302795410156</td><td>3.186931</td><td>25.76273517608643</td><td>1.3628618</td><td>51.41315231323243</td><td>2.8196554</td><td>54.464359283447266</td><td>7.8092985</td><td>3421.484857177735</td><td>15.61349</td><td>5541.52099609375</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>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>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>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></tr>\n",
       "<tr><td>9</td><td>175984505</td><td>2749757</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>0.97028195919044</td><td>375.63890865933445</td><td>1.5117836147318509</td><td>363.1183574934234</td><td>1.4654899156068515</td><td>493.0857589410574</td><td>1.4939534576393725</td><td>453.7128113905537</td><td>2.030616241312015</td><td>366.57945612581017</td><td>2.181316079486908</td><td>345.1367612066171</td><td>2.9802742879262745</td><td>448.39288317624465</td><td>3.466277236768193</td><td>39.18858995910794</td><td>5.887750344008503</td><td>2344.356342658157</td><td>7.2445153350474625</td><td>2210.9885317780295</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>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>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.21994184</td><td>12.564730262756349</td><td>0.45626122</td><td>180.5903747558595</td><td>0.4181562</td><td>20.171302795410156</td><td>3.186931</td><td>25.76273517608643</td><td>1.3628618</td><td>51.41315231323243</td><td>2.8196554</td><td>54.464359283447266</td><td>7.8092985</td><td>3421.484857177735</td><td>15.61349</td><td>5541.52099609375</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>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>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>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></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(\"$('#table140217476984112-331295').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",
       "    $('#table140217476984112-331295').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, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 13,
     "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": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## III - Save the depth map table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "depths.write(\"{}/depths_{}_{}.fits\".format(OUT_DIR, FIELD.lower(), SUFFIX), overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "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": 15,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'90prime_g',\n",
       " '90prime_r',\n",
       " 'acs_f606w',\n",
       " 'acs_f814w',\n",
       " 'cfht12k_b',\n",
       " 'cfht12k_i',\n",
       " 'cfht12k_r',\n",
       " 'gpc1_g',\n",
       " 'gpc1_i',\n",
       " 'gpc1_r',\n",
       " 'gpc1_y',\n",
       " 'gpc1_z',\n",
       " 'irac_i1',\n",
       " 'irac_i2',\n",
       " 'irac_i3',\n",
       " 'irac_i4',\n",
       " 'megacam_g',\n",
       " 'megacam_i',\n",
       " 'megacam_r',\n",
       " 'megacam_u',\n",
       " 'megacam_z',\n",
       " 'mmt_g',\n",
       " 'mmt_i',\n",
       " 'mmt_u',\n",
       " 'mmt_z',\n",
       " 'moircs_ks',\n",
       " 'mosaic_z',\n",
       " 'newfirm_h1',\n",
       " 'newfirm_h2',\n",
       " 'newfirm_j1',\n",
       " 'newfirm_j2',\n",
       " 'newfirm_j3',\n",
       " 'newfirm_k',\n",
       " 'nicmos_f110w',\n",
       " 'nicmos_f160w',\n",
       " 'omega2000_j',\n",
       " 'omega2000_ks',\n",
       " 'suprime_g',\n",
       " 'suprime_i',\n",
       " 'suprime_r',\n",
       " 'suprime_rc',\n",
       " 'suprime_y',\n",
       " 'suprime_z',\n",
       " 'ukidss_j',\n",
       " 'wfc3_f125w',\n",
       " 'wfc3_f140w',\n",
       " 'wfc3_f160w',\n",
       " 'wircam_h',\n",
       " 'wircam_j',\n",
       " 'wircam_ks',\n",
       " 'wircs_j',\n",
       " 'wircs_k'}"
      ]
     },
     "execution_count": 15,
     "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": 16,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Passbands on EGS')"
      ]
     },
     "execution_count": 16,
     "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": {
    "deletable": true,
    "editable": true
   },
   "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": 17,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "suprime_g: mean flux error: 0.01935412734746933, 3sigma in AB mag (Aperture): 26.9902628773988\n",
      "suprime_r: mean flux error: 0.04003642871975899, 3sigma in AB mag (Aperture): 26.201058535368112\n",
      "suprime_i: mean flux error: 0.037838004529476166, 3sigma in AB mag (Aperture): 26.26237630105725\n",
      "suprime_z: mean flux error: 0.09320293366909027, 3sigma in AB mag (Aperture): 25.283622906987397\n",
      "suprime_y: mean flux error: 0.2268480807542801, 3sigma in AB mag (Aperture): 24.31785909001625\n",
      "gpc1_g: mean flux error: 887.356247197148, 3sigma in AB mag (Aperture): 15.336951835237144\n",
      "gpc1_r: mean flux error: 6.633257450487433, 3sigma in AB mag (Aperture): 20.65287972946181\n",
      "gpc1_i: mean flux error: 7.21809894747568, 3sigma in AB mag (Aperture): 20.56113978525118\n",
      "gpc1_z: mean flux error: 6.585094052970255, 3sigma in AB mag (Aperture): 20.66079190759327\n",
      "gpc1_y: mean flux error: 20.81505343371037, 3sigma in AB mag (Aperture): 19.41125303797886\n",
      "acs_f606w: mean flux error: 0.05619294793638038, 3sigma in AB mag (Aperture): 25.83299232269841\n",
      "acs_f814w: mean flux error: 0.11219603707768899, 3sigma in AB mag (Aperture): 25.08225306995768\n",
      "wfc3_f125w: mean flux error: 0.06693366906568404, 3sigma in AB mag (Aperture): 25.643085282863545\n",
      "wfc3_f140w: mean flux error: 0.04509971467547185, 3sigma in AB mag (Aperture): 26.071762377422793\n",
      "wfc3_f160w: mean flux error: 0.04679126332448396, 3sigma in AB mag (Aperture): 26.031784935866604\n",
      "newfirm_j1: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "newfirm_j2: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "newfirm_j3: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "newfirm_h1: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "newfirm_h2: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "newfirm_k: mean flux error: nan, 3sigma in AB mag (Aperture): nan\n",
      "90prime_g: mean flux error: 0.1087125688791275, 3sigma in AB mag (Aperture): 25.116497467582924\n",
      "90prime_r: mean flux error: 0.29143744707107544, 3sigma in AB mag (Aperture): 24.045833478388566\n",
      "mosaic_z: mean flux error: 1.40437650680542, 3sigma in AB mag (Aperture): 22.33848797386728\n",
      "ukidss_j: mean flux error: 6.657933712005615, 3sigma in AB mag (Aperture): 20.648848195947018\n",
      "megacam_u: mean flux error: 0.05869875886326321, 3sigma in AB mag (Aperture): 25.78562456683371\n",
      "megacam_g: mean flux error: 0.031888293763253, 3sigma in AB mag (Aperture): 26.448118657679537\n",
      "megacam_r: mean flux error: 0.05749320479205907, 3sigma in AB mag (Aperture): 25.808155568681293\n",
      "megacam_i: mean flux error: 0.08786833597734665, 3sigma in AB mag (Aperture): 25.347615858330578\n",
      "megacam_z: mean flux error: 0.1799477714804371, 3sigma in AB mag (Aperture): 24.56933068168214\n",
      "wircam_j: mean flux error: 0.13353807487066097, 3sigma in AB mag (Aperture): 24.893184085678904\n",
      "wircam_h: mean flux error: 0.1523726919017148, 3sigma in AB mag (Aperture): 24.749929012934025\n",
      "wircam_ks: mean flux error: 0.18563980542585187, 3sigma in AB mag (Aperture): 24.535519101822523\n",
      "wircs_j: mean flux error: 1.062240176781765, 3sigma in AB mag (Aperture): 22.64164005425166\n",
      "wircs_k: mean flux error: 2.176898408678697, 3sigma in AB mag (Aperture): 21.862601458466436\n",
      "suprime_g: mean flux error: 0.02809937857091427, 3sigma in AB mag (Total): 26.585455074666534\n",
      "suprime_r: mean flux error: 0.057672981172800064, 3sigma in AB mag (Total): 25.804765860456776\n",
      "suprime_i: mean flux error: 0.056701790541410446, 3sigma in AB mag (Total): 25.82320492981443\n",
      "suprime_z: mean flux error: 0.13656555116176605, 3sigma in AB mag (Total): 24.86884395867221\n",
      "suprime_y: mean flux error: 0.35588663816452026, 3sigma in AB mag (Total): 23.828917656610393\n",
      "gpc1_g: mean flux error: 6.558282472740346, 3sigma in AB mag (Total): 20.665221567458026\n",
      "gpc1_r: mean flux error: 6.277544523543575, 3sigma in AB mag (Total): 20.71272235911689\n",
      "gpc1_i: mean flux error: 4.520426738148038, 3sigma in AB mag (Total): 21.069248275467267\n",
      "gpc1_z: mean flux error: 8.014826346672404, 3sigma in AB mag (Total): 20.44746157033662\n",
      "gpc1_y: mean flux error: 23.754769803624963, 3sigma in AB mag (Total): 19.267819797624064\n",
      "acs_f606w: mean flux error: 0.0452831834072584, 3sigma in AB mag (Total): 26.06735448782492\n",
      "acs_f814w: mean flux error: 0.07356219710775379, 3sigma in AB mag (Total): 25.5405601332402\n",
      "wfc3_f125w: mean flux error: 0.06581871065343689, 3sigma in AB mag (Total): 25.661323436976424\n",
      "wfc3_f140w: mean flux error: 0.04998714427649321, 3sigma in AB mag (Total): 25.96005104674378\n",
      "wfc3_f160w: mean flux error: 0.04610159468453829, 3sigma in AB mag (Total): 26.047906992746412\n",
      "newfirm_j1: mean flux error: 2.1864399737901357, 3sigma in AB mag (Total): 21.857852966235747\n",
      "newfirm_j2: mean flux error: 0.20150180467301249, 3sigma in AB mag (Total): 24.446499512987906\n",
      "newfirm_j3: mean flux error: 1.4753957474982153, 3sigma in AB mag (Total): 22.284925544784805\n",
      "newfirm_h1: mean flux error: 0.8475797353848904, 3sigma in AB mag (Total): 22.886745451444334\n",
      "newfirm_h2: mean flux error: 0.3904475743664372, 3sigma in AB mag (Total): 23.728290040342607\n",
      "newfirm_k: mean flux error: 0.43264188081049404, 3sigma in AB mag (Total): 23.616875468389786\n",
      "90prime_g: mean flux error: 0.8505086302757263, 3sigma in AB mag (Total): 22.883000051098016\n",
      "90prime_r: mean flux error: 41.686920166015625, 3sigma in AB mag (Total): 18.65719733672551\n",
      "mosaic_z: mean flux error: 3.486527681350708, 3sigma in AB mag (Total): 21.35121406909169\n",
      "ukidss_j: mean flux error: 14.007858276367188, 3sigma in AB mag (Total): 19.841267515325164\n",
      "megacam_u: mean flux error: 0.08820000580707454, 3sigma in AB mag (Total): 25.343525328886592\n",
      "megacam_g: mean flux error: 0.0523348670904753, 3sigma in AB mag (Total): 25.91021904927137\n",
      "megacam_r: mean flux error: 0.09286199927288764, 3sigma in AB mag (Total): 25.287601789260655\n",
      "megacam_i: mean flux error: 0.13726177271383058, 3sigma in AB mag (Total): 24.863322854614317\n",
      "megacam_z: mean flux error: 0.27655851408507554, 3sigma in AB mag (Total): 24.102729280376558\n",
      "wircam_j: mean flux error: 0.2551115849561609, 3sigma in AB mag (Total): 24.190371410832647\n",
      "wircam_h: mean flux error: 0.2722258070376199, 3sigma in AB mag (Total): 24.11987362823715\n",
      "wircam_ks: mean flux error: 0.3198001033691997, 3sigma in AB mag (Total): 23.945000363732014\n",
      "wircs_j: mean flux error: 5.404603917216371, 3sigma in AB mag (Total): 20.87528718402256\n",
      "wircs_k: mean flux error: 4.161327194719945, 3sigma in AB mag (Total): 21.159117201647582\n",
      "nicmos_f160w: mean flux error: 0.05705933292019139, 3sigma in AB mag (Total): 25.816380138149746\n",
      "omega2000_j: mean flux error: 3.872628559817112, 3sigma in AB mag (Total): 21.237182253292893\n",
      "mmt_u: mean flux error: 0.2799287537119285, 3sigma in AB mag (Total): 24.08957808669377\n",
      "irac_i4: mean flux error: 1.8146429274088791, 3sigma in AB mag (Total): 22.06021891223913\n",
      "mmt_z: mean flux error: 0.7676908844323572, 3sigma in AB mag (Total): 22.994230903647484\n",
      "suprime_rc: mean flux error: 0.1007076302785256, 3sigma in AB mag (Total): 25.199540921118718\n",
      "irac_i3: mean flux error: 1.5751038352358513, 3sigma in AB mag (Total): 22.213923890770083\n",
      "omega2000_ks: mean flux error: 3.6233657147068334, 3sigma in AB mag (Total): 21.309416436709988\n",
      "nicmos_f110w: mean flux error: 0.16972465543823045, 3sigma in AB mag (Total): 24.632834524009574\n",
      "cfht12k_r: mean flux error: 0.07214678740949666, 3sigma in AB mag (Total): 25.5616543697896\n",
      "cfht12k_b: mean flux error: 0.07028090709348234, 3sigma in AB mag (Total): 25.590103467797796\n",
      "mmt_g: mean flux error: 0.19929915852369479, 3sigma in AB mag (Total): 24.45843320061028\n",
      "irac_i1: mean flux error: 0.6627398322568347, 3sigma in AB mag (Total): 23.15383917940651\n",
      "cfht12k_i: mean flux error: 0.17061765157857633, 3sigma in AB mag (Total): 24.627136963375754\n",
      "moircs_ks: mean flux error: 1.078287712765423, 3sigma in AB mag (Total): 22.625360222217772\n",
      "irac_i2: mean flux error: 0.5651038812823395, 3sigma in AB mag (Total): 23.326876137808178\n",
      "mmt_i: mean flux error: 0.5192064985789807, 3sigma in AB mag (Total): 23.41884656416243\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": 18,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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": 19,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": 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": 20,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "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_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_acs_f606w (4835.4, 7088.47, 2253.0703)\n",
      "ap_acs_f814w (7069.67, 9138.11, 2068.4404)\n",
      "ap_wfc3_f125w (10993.5, 13997.47, 3003.9697)\n",
      "ap_wfc3_f140w (12005.91, 15946.44, 3940.5303)\n",
      "ap_wfc3_f160w (13996.34, 16869.92, 2873.58)\n",
      "ap_newfirm_j1 (11600.0, 13387.0, 1787.0)\n",
      "ap_newfirm_j2 (11600.0, 13387.0, 1787.0)\n",
      "ap_newfirm_j3 (11600.0, 13387.0, 1787.0)\n",
      "ap_newfirm_h1 (14795.0, 17860.0, 3065.0)\n",
      "ap_newfirm_h2 (14795.0, 17860.0, 3065.0)\n",
      "ap_newfirm_k (19845.0, 23060.0, 3215.0)\n",
      "ap_90prime_g (4180.0, 5470.0, 1290.0)\n",
      "ap_90prime_r (5680.0, 7150.0, 1470.0)\n",
      "ap_mosaic_z (8552.0, 10018.0, 1466.0)\n",
      "ap_ukidss_j (11695.0, 13280.0, 1585.0)\n",
      "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_wircam_j (11748.0, 13334.0, 1586.0)\n",
      "ap_wircam_h (14855.0, 17760.0, 2905.0)\n",
      "ap_wircam_ks (19870.0, 23135.0, 3265.0)\n",
      "ap_wircs_j (11976.79, 12146.47, 169.67969)\n",
      "ap_wircs_k (19870.11, 23046.93, 3176.8203)\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",
      "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",
      "acs_f606w (4835.4, 7088.47, 2253.0703)\n",
      "acs_f814w (7069.67, 9138.11, 2068.4404)\n",
      "wfc3_f125w (10993.5, 13997.47, 3003.9697)\n",
      "wfc3_f140w (12005.91, 15946.44, 3940.5303)\n",
      "wfc3_f160w (13996.34, 16869.92, 2873.58)\n",
      "newfirm_j1 (11600.0, 13387.0, 1787.0)\n",
      "newfirm_j2 (11600.0, 13387.0, 1787.0)\n",
      "newfirm_j3 (11600.0, 13387.0, 1787.0)\n",
      "newfirm_h1 (14795.0, 17860.0, 3065.0)\n",
      "newfirm_h2 (14795.0, 17860.0, 3065.0)\n",
      "newfirm_k (19845.0, 23060.0, 3215.0)\n",
      "90prime_g (4180.0, 5470.0, 1290.0)\n",
      "90prime_r (5680.0, 7150.0, 1470.0)\n",
      "mosaic_z (8552.0, 10018.0, 1466.0)\n",
      "ukidss_j (11695.0, 13280.0, 1585.0)\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",
      "wircam_j (11748.0, 13334.0, 1586.0)\n",
      "wircam_h (14855.0, 17760.0, 2905.0)\n",
      "wircam_ks (19870.0, 23135.0, 3265.0)\n",
      "wircs_j (11976.79, 12146.47, 169.67969)\n",
      "wircs_k (19870.11, 23046.93, 3176.8203)\n",
      "nicmos_f160w (13983.17, 17968.71, 3985.541)\n",
      "omega2000_j (10854.4, 13313.6, 2459.1992)\n",
      "mmt_u (3455.0, 3815.0, 360.0)\n",
      "irac_i4 (64415.2, 92596.8, 28181.598)\n",
      "mmt_z (8410.0, 9485.0, 1075.0)\n",
      "suprime_rc (5919.9, 7079.5, 1159.6001)\n",
      "irac_i3 (50246.3, 64096.7, 13850.398)\n",
      "omega2000_ks (19991.0, 23026.0, 3035.0)\n",
      "nicmos_f110w (8695.906, 13957.38, 5261.4736)\n",
      "cfht12k_r (5960.0, 7200.0, 1240.0)\n",
      "cfht12k_b (3820.0, 4800.0, 980.0)\n",
      "mmt_g (4115.0, 5485.0, 1370.0)\n",
      "irac_i1 (31754.0, 39164.8, 7410.801)\n",
      "cfht12k_i (7160.0, 9300.0, 2140.0)\n",
      "moircs_ks (19915.0, 23010.0, 3095.0)\n",
      "irac_i2 (39980.1, 50052.3, 10072.199)\n",
      "mmt_i (7085.0, 8655.0, 1570.0)\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": 21,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths on EGS')"
      ]
     },
     "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",
    "    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": {
    "deletable": true,
    "editable": true
   },
   "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": 22,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths (5 $\\\\sigma$) vs coverage on EGS')"
      ]
     },
     "execution_count": 22,
     "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}