{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# CDFS-SWIRE 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",
      "708e28f (Tue May 8 18:05:21 2018 +0100)\n",
      "This notebook was executed on: \n",
      "2018-06-13 13:35:46.151307\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 = 'CDFS-SWIRE'\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_cdfs-swire_20180613.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": null,
   "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": 5,
   "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": 6,
   "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": 7,
   "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": 8,
   "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": 9,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=10</i>\n",
       "<table id=\"table139856446812568-903766\" 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>591921152</td></tr>\n",
       "<tr><td>1</td><td>591921153</td></tr>\n",
       "<tr><td>2</td><td>591921154</td></tr>\n",
       "<tr><td>3</td><td>591921155</td></tr>\n",
       "<tr><td>4</td><td>591921156</td></tr>\n",
       "<tr><td>5</td><td>591921157</td></tr>\n",
       "<tr><td>6</td><td>591921158</td></tr>\n",
       "<tr><td>7</td><td>591921159</td></tr>\n",
       "<tr><td>8</td><td>591921160</td></tr>\n",
       "<tr><td>9</td><td>591921161</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(\"$('#table139856446812568-903766').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",
       "    $('#table139856446812568-903766').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": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "depths[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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": 11,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=10</i>\n",
       "<table id=\"table139858103824624-138172\" 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>591921152</td><td>9248768</td></tr>\n",
       "<tr><td>1</td><td>591921153</td><td>9248768</td></tr>\n",
       "<tr><td>2</td><td>591921154</td><td>9248768</td></tr>\n",
       "<tr><td>3</td><td>591921155</td><td>9248768</td></tr>\n",
       "<tr><td>4</td><td>591921156</td><td>9248768</td></tr>\n",
       "<tr><td>5</td><td>591921157</td><td>9248768</td></tr>\n",
       "<tr><td>6</td><td>591921158</td><td>9248768</td></tr>\n",
       "<tr><td>7</td><td>591921159</td><td>9248768</td></tr>\n",
       "<tr><td>8</td><td>591921160</td><td>9248768</td></tr>\n",
       "<tr><td>9</td><td>591921161</td><td>9248768</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(\"$('#table139858103824624-138172').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",
       "    $('#table139858103824624-138172').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": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "depths[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=10</i>\n",
       "<table id=\"table139856667548920-2462\" 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_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_wfi_416nm_mean</th><th>f_ap_wfi_416nm_p90</th><th>ferr_wfi_416nm_mean</th><th>f_wfi_416nm_p90</th><th>ferr_ap_wfi_461nm_mean</th><th>f_ap_wfi_461nm_p90</th><th>ferr_wfi_461nm_mean</th><th>f_wfi_461nm_p90</th><th>ferr_ap_wfi_485nm_mean</th><th>f_ap_wfi_485nm_p90</th><th>ferr_wfi_485nm_mean</th><th>f_wfi_485nm_p90</th><th>ferr_ap_wfi_518nm_mean</th><th>f_ap_wfi_518nm_p90</th><th>ferr_wfi_518nm_mean</th><th>f_wfi_518nm_p90</th><th>ferr_ap_wfi_571nm_mean</th><th>f_ap_wfi_571nm_p90</th><th>ferr_wfi_571nm_mean</th><th>f_wfi_571nm_p90</th><th>ferr_ap_wfi_604nm_mean</th><th>f_ap_wfi_604nm_p90</th><th>ferr_wfi_604nm_mean</th><th>f_wfi_604nm_p90</th><th>ferr_ap_wfi_646nm_mean</th><th>f_ap_wfi_646nm_p90</th><th>ferr_wfi_646nm_mean</th><th>f_wfi_646nm_p90</th><th>ferr_ap_wfi_696nm_mean</th><th>f_ap_wfi_696nm_p90</th><th>ferr_wfi_696nm_mean</th><th>f_wfi_696nm_p90</th><th>ferr_ap_wfi_753nm_mean</th><th>f_ap_wfi_753nm_p90</th><th>ferr_wfi_753nm_mean</th><th>f_wfi_753nm_p90</th><th>ferr_ap_wfi_815nm_mean</th><th>f_ap_wfi_815nm_p90</th><th>ferr_wfi_815nm_mean</th><th>f_wfi_815nm_p90</th><th>ferr_ap_wfi_856nm_mean</th><th>f_ap_wfi_856nm_p90</th><th>ferr_wfi_856nm_mean</th><th>f_wfi_856nm_p90</th><th>ferr_ap_wfi_914nm_mean</th><th>f_ap_wfi_914nm_p90</th><th>ferr_wfi_914nm_mean</th><th>f_wfi_914nm_p90</th><th>ferr_ap_wfi_u_mean</th><th>f_ap_wfi_u_p90</th><th>ferr_wfi_u_mean</th><th>f_wfi_u_p90</th><th>ferr_ap_wfi_b_mean</th><th>f_ap_wfi_b_p90</th><th>ferr_wfi_b_mean</th><th>f_wfi_b_p90</th><th>ferr_ap_wfi_v_mean</th><th>f_ap_wfi_v_p90</th><th>ferr_wfi_v_mean</th><th>f_wfi_v_p90</th><th>ferr_ap_wfi_r_mean</th><th>f_ap_wfi_r_p90</th><th>ferr_wfi_r_mean</th><th>f_wfi_r_p90</th><th>ferr_ap_wfi_i_mean</th><th>f_ap_wfi_i_p90</th><th>ferr_wfi_i_mean</th><th>f_wfi_i_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_omegacam_z_mean</th><th>f_ap_omegacam_z_p90</th><th>ferr_omegacam_z_mean</th><th>f_omegacam_z_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_irac_i3_mean</th><th>f_ap_irac_i3_p90</th><th>ferr_irac_i3_mean</th><th>f_irac_i3_p90</th><th>ferr_ap_irac_i4_mean</th><th>f_ap_irac_i4_p90</th><th>ferr_irac_i4_mean</th><th>f_irac_i4_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_i_mean</th><th>f_ap_decam_i_p90</th><th>ferr_decam_i_mean</th><th>f_decam_i_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_decam_y_mean</th><th>f_ap_decam_y_p90</th><th>ferr_decam_y_mean</th><th>f_decam_y_p90</th><th>ferr_ap_irac_i1_mean</th><th>f_ap_irac_i1_p90</th><th>ferr_irac_i1_mean</th><th>f_irac_i1_p90</th><th>ferr_ap_irac_i2_mean</th><th>f_ap_irac_i2_p90</th><th>ferr_irac_i2_mean</th><th>f_irac_i2_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><th>ferr_acs_f435w_mean</th><th>f_acs_f435w_p90</th><th>ferr_isaac_k_mean</th><th>f_isaac_k_p90</th><th>ferr_wfc3_f125w_mean</th><th>f_wfc3_f125w_p90</th><th>ferr_wfc3_f098m_mean</th><th>f_wfc3_f098m_p90</th><th>ferr_acs_f606w_mean</th><th>f_acs_f606w_p90</th><th>ferr_wfc3_f160w_mean</th><th>f_wfc3_f160w_p90</th><th>ferr_hawki_k_mean</th><th>f_hawki_k_p90</th><th>ferr_acs_f850lp_mean</th><th>f_acs_f850lp_p90</th><th>ferr_acs_f814w_mean</th><th>f_acs_f814w_p90</th><th>ferr_acs_f775w_mean</th><th>f_acs_f775w_p90</th><th>ferr_wfc3_f105w_mean</th><th>f_wfc3_f105w_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></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></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></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><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>588570620</td><td>9196415</td><td>0.06251080019213677</td><td>4.741209745654489</td><td>nan</td><td>nan</td><td>0.16558486235492748</td><td>26.85901161992816</td><td>2.662118400923968</td><td>24.018142891178755</td><td>0.1130037846746581</td><td>67.53332465015464</td><td>1.4147075092919494</td><td>68.32631455088634</td><td>0.20258515551954562</td><td>55.91669020984652</td><td>2.170937398209762</td><td>76.12328271851665</td><td>0.24148724204501926</td><td>93.45454830292265</td><td>6.0595071758827075</td><td>92.17810561903342</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.4398859998365898</td><td>7.858373251280202</td><td>0.9184888800020958</td><td>11.810330535172632</td><td>0.5815255364215522</td><td>23.949540366635894</td><td>1.4333385812685495</td><td>30.356804575743308</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.4740101215972743</td><td>59.951511963471326</td><td>3.725407798061195</td><td>93.9022707346967</td><td>7.792073768095926</td><td>101.81883602054853</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.1269289272462858</td><td>3.0364353875853194</td><td>0.18667503537224614</td><td>4.68804561148109</td><td>0.15377689490680108</td><td>8.590587491465843</td><td>0.23782354618433219</td><td>13.392102198825807</td><td>0.2620101013186921</td><td>14.376109520902517</td><td>0.42945786528124924</td><td>20.623360625772126</td><td>0.5022896632104722</td><td>20.144807964139375</td><td>0.8594800861317462</td><td>26.61572156674392</td><td>1.7947509059946238</td><td>19.224511343712635</td><td>3.1893717409921756</td><td>36.892863901399615</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.513079421860831</td><td>100.92107849121098</td><td>6.182846682412284</td><td>126.83270034790038</td><td>3.2438344756762185</td><td>142.5364486694336</td><td>9.4565642674764</td><td>193.16712646484376</td><td>5.503627737363179</td><td>138.86427993774416</td><td>14.869614760080973</td><td>240.98196792602545</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>588570622</td><td>9196415</td><td>0.06251080019213677</td><td>4.741209745654489</td><td>nan</td><td>nan</td><td>0.16558486235492748</td><td>26.85901161992816</td><td>2.662118400923968</td><td>24.018142891178755</td><td>0.1130037846746581</td><td>67.53332465015464</td><td>1.4147075092919494</td><td>68.32631455088634</td><td>0.20258515551954562</td><td>55.91669020984652</td><td>2.170937398209762</td><td>76.12328271851665</td><td>0.24148724204501926</td><td>93.45454830292265</td><td>6.0595071758827075</td><td>92.17810561903342</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.4398859998365898</td><td>7.858373251280202</td><td>0.9184888800020958</td><td>11.810330535172632</td><td>0.5815255364215522</td><td>23.949540366635894</td><td>1.4333385812685495</td><td>30.356804575743308</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.4740101215972743</td><td>59.951511963471326</td><td>3.725407798061195</td><td>93.9022707346967</td><td>7.792073768095926</td><td>101.81883602054853</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.1269289272462858</td><td>3.0364353875853194</td><td>0.18667503537224614</td><td>4.68804561148109</td><td>0.15377689490680108</td><td>8.590587491465843</td><td>0.23782354618433219</td><td>13.392102198825807</td><td>0.2620101013186921</td><td>14.376109520902517</td><td>0.42945786528124924</td><td>20.623360625772126</td><td>0.5022896632104722</td><td>20.144807964139375</td><td>0.8594800861317462</td><td>26.61572156674392</td><td>1.7947509059946238</td><td>19.224511343712635</td><td>3.1893717409921756</td><td>36.892863901399615</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.513079421860831</td><td>100.92107849121098</td><td>6.182846682412284</td><td>126.83270034790038</td><td>3.2438344756762185</td><td>142.5364486694336</td><td>9.4565642674764</td><td>193.16712646484376</td><td>5.503627737363179</td><td>138.86427993774416</td><td>14.869614760080973</td><td>240.98196792602545</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>588570621</td><td>9196415</td><td>0.06251080019213677</td><td>4.741209745654489</td><td>nan</td><td>nan</td><td>0.16558486235492748</td><td>26.85901161992816</td><td>2.662118400923968</td><td>24.018142891178755</td><td>0.1130037846746581</td><td>67.53332465015464</td><td>1.4147075092919494</td><td>68.32631455088634</td><td>0.20258515551954562</td><td>55.91669020984652</td><td>2.170937398209762</td><td>76.12328271851665</td><td>0.24148724204501926</td><td>93.45454830292265</td><td>6.0595071758827075</td><td>92.17810561903342</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.4398859998365898</td><td>7.858373251280202</td><td>0.9184888800020958</td><td>11.810330535172632</td><td>0.5815255364215522</td><td>23.949540366635894</td><td>1.4333385812685495</td><td>30.356804575743308</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.4740101215972743</td><td>59.951511963471326</td><td>3.725407798061195</td><td>93.9022707346967</td><td>7.792073768095926</td><td>101.81883602054853</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.1269289272462858</td><td>3.0364353875853194</td><td>0.18667503537224614</td><td>4.68804561148109</td><td>0.15377689490680108</td><td>8.590587491465843</td><td>0.23782354618433219</td><td>13.392102198825807</td><td>0.2620101013186921</td><td>14.376109520902517</td><td>0.42945786528124924</td><td>20.623360625772126</td><td>0.5022896632104722</td><td>20.144807964139375</td><td>0.8594800861317462</td><td>26.61572156674392</td><td>1.7947509059946238</td><td>19.224511343712635</td><td>3.1893717409921756</td><td>36.892863901399615</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.513079421860831</td><td>100.92107849121098</td><td>6.182846682412284</td><td>126.83270034790038</td><td>3.2438344756762185</td><td>142.5364486694336</td><td>9.4565642674764</td><td>193.16712646484376</td><td>5.503627737363179</td><td>138.86427993774416</td><td>14.869614760080973</td><td>240.98196792602545</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>588570619</td><td>9196415</td><td>0.06251080019213677</td><td>4.741209745654489</td><td>nan</td><td>nan</td><td>0.16558486235492748</td><td>26.85901161992816</td><td>2.662118400923968</td><td>24.018142891178755</td><td>0.1130037846746581</td><td>67.53332465015464</td><td>1.4147075092919494</td><td>68.32631455088634</td><td>0.20258515551954562</td><td>55.91669020984652</td><td>2.170937398209762</td><td>76.12328271851665</td><td>0.24148724204501926</td><td>93.45454830292265</td><td>6.0595071758827075</td><td>92.17810561903342</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.4398859998365898</td><td>7.858373251280202</td><td>0.9184888800020958</td><td>11.810330535172632</td><td>0.5815255364215522</td><td>23.949540366635894</td><td>1.4333385812685495</td><td>30.356804575743308</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.4740101215972743</td><td>59.951511963471326</td><td>3.725407798061195</td><td>93.9022707346967</td><td>7.792073768095926</td><td>101.81883602054853</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.1269289272462858</td><td>3.0364353875853194</td><td>0.18667503537224614</td><td>4.68804561148109</td><td>0.15377689490680108</td><td>8.590587491465843</td><td>0.23782354618433219</td><td>13.392102198825807</td><td>0.2620101013186921</td><td>14.376109520902517</td><td>0.42945786528124924</td><td>20.623360625772126</td><td>0.5022896632104722</td><td>20.144807964139375</td><td>0.8594800861317462</td><td>26.61572156674392</td><td>1.7947509059946238</td><td>19.224511343712635</td><td>3.1893717409921756</td><td>36.892863901399615</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.513079421860831</td><td>100.92107849121098</td><td>6.182846682412284</td><td>126.83270034790038</td><td>3.2438344756762185</td><td>142.5364486694336</td><td>9.4565642674764</td><td>193.16712646484376</td><td>5.503627737363179</td><td>138.86427993774416</td><td>14.869614760080973</td><td>240.98196792602545</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>588570617</td><td>9196415</td><td>0.06251080019213677</td><td>4.741209745654489</td><td>nan</td><td>nan</td><td>0.16558486235492748</td><td>26.85901161992816</td><td>2.662118400923968</td><td>24.018142891178755</td><td>0.1130037846746581</td><td>67.53332465015464</td><td>1.4147075092919494</td><td>68.32631455088634</td><td>0.20258515551954562</td><td>55.91669020984652</td><td>2.170937398209762</td><td>76.12328271851665</td><td>0.24148724204501926</td><td>93.45454830292265</td><td>6.0595071758827075</td><td>92.17810561903342</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.4398859998365898</td><td>7.858373251280202</td><td>0.9184888800020958</td><td>11.810330535172632</td><td>0.5815255364215522</td><td>23.949540366635894</td><td>1.4333385812685495</td><td>30.356804575743308</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.4740101215972743</td><td>59.951511963471326</td><td>3.725407798061195</td><td>93.9022707346967</td><td>7.792073768095926</td><td>101.81883602054853</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.1269289272462858</td><td>3.0364353875853194</td><td>0.18667503537224614</td><td>4.68804561148109</td><td>0.15377689490680108</td><td>8.590587491465843</td><td>0.23782354618433219</td><td>13.392102198825807</td><td>0.2620101013186921</td><td>14.376109520902517</td><td>0.42945786528124924</td><td>20.623360625772126</td><td>0.5022896632104722</td><td>20.144807964139375</td><td>0.8594800861317462</td><td>26.61572156674392</td><td>1.7947509059946238</td><td>19.224511343712635</td><td>3.1893717409921756</td><td>36.892863901399615</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.513079421860831</td><td>100.92107849121098</td><td>6.182846682412284</td><td>126.83270034790038</td><td>3.2438344756762185</td><td>142.5364486694336</td><td>9.4565642674764</td><td>193.16712646484376</td><td>5.503627737363179</td><td>138.86427993774416</td><td>14.869614760080973</td><td>240.98196792602545</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>588570614</td><td>9196415</td><td>0.06251080019213677</td><td>4.741209745654489</td><td>nan</td><td>nan</td><td>0.16558486235492748</td><td>26.85901161992816</td><td>2.662118400923968</td><td>24.018142891178755</td><td>0.1130037846746581</td><td>67.53332465015464</td><td>1.4147075092919494</td><td>68.32631455088634</td><td>0.20258515551954562</td><td>55.91669020984652</td><td>2.170937398209762</td><td>76.12328271851665</td><td>0.24148724204501926</td><td>93.45454830292265</td><td>6.0595071758827075</td><td>92.17810561903342</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.4398859998365898</td><td>7.858373251280202</td><td>0.9184888800020958</td><td>11.810330535172632</td><td>0.5815255364215522</td><td>23.949540366635894</td><td>1.4333385812685495</td><td>30.356804575743308</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.4740101215972743</td><td>59.951511963471326</td><td>3.725407798061195</td><td>93.9022707346967</td><td>7.792073768095926</td><td>101.81883602054853</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.1269289272462858</td><td>3.0364353875853194</td><td>0.18667503537224614</td><td>4.68804561148109</td><td>0.15377689490680108</td><td>8.590587491465843</td><td>0.23782354618433219</td><td>13.392102198825807</td><td>0.2620101013186921</td><td>14.376109520902517</td><td>0.42945786528124924</td><td>20.623360625772126</td><td>0.5022896632104722</td><td>20.144807964139375</td><td>0.8594800861317462</td><td>26.61572156674392</td><td>1.7947509059946238</td><td>19.224511343712635</td><td>3.1893717409921756</td><td>36.892863901399615</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.513079421860831</td><td>100.92107849121098</td><td>6.182846682412284</td><td>126.83270034790038</td><td>3.2438344756762185</td><td>142.5364486694336</td><td>9.4565642674764</td><td>193.16712646484376</td><td>5.503627737363179</td><td>138.86427993774416</td><td>14.869614760080973</td><td>240.98196792602545</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>588570623</td><td>9196415</td><td>0.06251080019213677</td><td>4.741209745654489</td><td>nan</td><td>nan</td><td>0.16558486235492748</td><td>26.85901161992816</td><td>2.662118400923968</td><td>24.018142891178755</td><td>0.1130037846746581</td><td>67.53332465015464</td><td>1.4147075092919494</td><td>68.32631455088634</td><td>0.20258515551954562</td><td>55.91669020984652</td><td>2.170937398209762</td><td>76.12328271851665</td><td>0.24148724204501926</td><td>93.45454830292265</td><td>6.0595071758827075</td><td>92.17810561903342</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.4398859998365898</td><td>7.858373251280202</td><td>0.9184888800020958</td><td>11.810330535172632</td><td>0.5815255364215522</td><td>23.949540366635894</td><td>1.4333385812685495</td><td>30.356804575743308</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.4740101215972743</td><td>59.951511963471326</td><td>3.725407798061195</td><td>93.9022707346967</td><td>7.792073768095926</td><td>101.81883602054853</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.1269289272462858</td><td>3.0364353875853194</td><td>0.18667503537224614</td><td>4.68804561148109</td><td>0.15377689490680108</td><td>8.590587491465843</td><td>0.23782354618433219</td><td>13.392102198825807</td><td>0.2620101013186921</td><td>14.376109520902517</td><td>0.42945786528124924</td><td>20.623360625772126</td><td>0.5022896632104722</td><td>20.144807964139375</td><td>0.8594800861317462</td><td>26.61572156674392</td><td>1.7947509059946238</td><td>19.224511343712635</td><td>3.1893717409921756</td><td>36.892863901399615</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.513079421860831</td><td>100.92107849121098</td><td>6.182846682412284</td><td>126.83270034790038</td><td>3.2438344756762185</td><td>142.5364486694336</td><td>9.4565642674764</td><td>193.16712646484376</td><td>5.503627737363179</td><td>138.86427993774416</td><td>14.869614760080973</td><td>240.98196792602545</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>588570615</td><td>9196415</td><td>0.06251080019213677</td><td>4.741209745654489</td><td>nan</td><td>nan</td><td>0.16558486235492748</td><td>26.85901161992816</td><td>2.662118400923968</td><td>24.018142891178755</td><td>0.1130037846746581</td><td>67.53332465015464</td><td>1.4147075092919494</td><td>68.32631455088634</td><td>0.20258515551954562</td><td>55.91669020984652</td><td>2.170937398209762</td><td>76.12328271851665</td><td>0.24148724204501926</td><td>93.45454830292265</td><td>6.0595071758827075</td><td>92.17810561903342</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.4398859998365898</td><td>7.858373251280202</td><td>0.9184888800020958</td><td>11.810330535172632</td><td>0.5815255364215522</td><td>23.949540366635894</td><td>1.4333385812685495</td><td>30.356804575743308</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.4740101215972743</td><td>59.951511963471326</td><td>3.725407798061195</td><td>93.9022707346967</td><td>7.792073768095926</td><td>101.81883602054853</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.1269289272462858</td><td>3.0364353875853194</td><td>0.18667503537224614</td><td>4.68804561148109</td><td>0.15377689490680108</td><td>8.590587491465843</td><td>0.23782354618433219</td><td>13.392102198825807</td><td>0.2620101013186921</td><td>14.376109520902517</td><td>0.42945786528124924</td><td>20.623360625772126</td><td>0.5022896632104722</td><td>20.144807964139375</td><td>0.8594800861317462</td><td>26.61572156674392</td><td>1.7947509059946238</td><td>19.224511343712635</td><td>3.1893717409921756</td><td>36.892863901399615</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.513079421860831</td><td>100.92107849121098</td><td>6.182846682412284</td><td>126.83270034790038</td><td>3.2438344756762185</td><td>142.5364486694336</td><td>9.4565642674764</td><td>193.16712646484376</td><td>5.503627737363179</td><td>138.86427993774416</td><td>14.869614760080973</td><td>240.98196792602545</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>588570613</td><td>9196415</td><td>0.06251080019213677</td><td>4.741209745654489</td><td>nan</td><td>nan</td><td>0.16558486235492748</td><td>26.85901161992816</td><td>2.662118400923968</td><td>24.018142891178755</td><td>0.1130037846746581</td><td>67.53332465015464</td><td>1.4147075092919494</td><td>68.32631455088634</td><td>0.20258515551954562</td><td>55.91669020984652</td><td>2.170937398209762</td><td>76.12328271851665</td><td>0.24148724204501926</td><td>93.45454830292265</td><td>6.0595071758827075</td><td>92.17810561903342</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.4398859998365898</td><td>7.858373251280202</td><td>0.9184888800020958</td><td>11.810330535172632</td><td>0.5815255364215522</td><td>23.949540366635894</td><td>1.4333385812685495</td><td>30.356804575743308</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.4740101215972743</td><td>59.951511963471326</td><td>3.725407798061195</td><td>93.9022707346967</td><td>7.792073768095926</td><td>101.81883602054853</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.1269289272462858</td><td>3.0364353875853194</td><td>0.18667503537224614</td><td>4.68804561148109</td><td>0.15377689490680108</td><td>8.590587491465843</td><td>0.23782354618433219</td><td>13.392102198825807</td><td>0.2620101013186921</td><td>14.376109520902517</td><td>0.42945786528124924</td><td>20.623360625772126</td><td>0.5022896632104722</td><td>20.144807964139375</td><td>0.8594800861317462</td><td>26.61572156674392</td><td>1.7947509059946238</td><td>19.224511343712635</td><td>3.1893717409921756</td><td>36.892863901399615</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.513079421860831</td><td>100.92107849121098</td><td>6.182846682412284</td><td>126.83270034790038</td><td>3.2438344756762185</td><td>142.5364486694336</td><td>9.4565642674764</td><td>193.16712646484376</td><td>5.503627737363179</td><td>138.86427993774416</td><td>14.869614760080973</td><td>240.98196792602545</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>588570612</td><td>9196415</td><td>0.06251080019213677</td><td>4.741209745654489</td><td>nan</td><td>nan</td><td>0.16558486235492748</td><td>26.85901161992816</td><td>2.662118400923968</td><td>24.018142891178755</td><td>0.1130037846746581</td><td>67.53332465015464</td><td>1.4147075092919494</td><td>68.32631455088634</td><td>0.20258515551954562</td><td>55.91669020984652</td><td>2.170937398209762</td><td>76.12328271851665</td><td>0.24148724204501926</td><td>93.45454830292265</td><td>6.0595071758827075</td><td>92.17810561903342</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.4398859998365898</td><td>7.858373251280202</td><td>0.9184888800020958</td><td>11.810330535172632</td><td>0.5815255364215522</td><td>23.949540366635894</td><td>1.4333385812685495</td><td>30.356804575743308</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.4740101215972743</td><td>59.951511963471326</td><td>3.725407798061195</td><td>93.9022707346967</td><td>7.792073768095926</td><td>101.81883602054853</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.1269289272462858</td><td>3.0364353875853194</td><td>0.18667503537224614</td><td>4.68804561148109</td><td>0.15377689490680108</td><td>8.590587491465843</td><td>0.23782354618433219</td><td>13.392102198825807</td><td>0.2620101013186921</td><td>14.376109520902517</td><td>0.42945786528124924</td><td>20.623360625772126</td><td>0.5022896632104722</td><td>20.144807964139375</td><td>0.8594800861317462</td><td>26.61572156674392</td><td>1.7947509059946238</td><td>19.224511343712635</td><td>3.1893717409921756</td><td>36.892863901399615</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.513079421860831</td><td>100.92107849121098</td><td>6.182846682412284</td><td>126.83270034790038</td><td>3.2438344756762185</td><td>142.5364486694336</td><td>9.4565642674764</td><td>193.16712646484376</td><td>5.503627737363179</td><td>138.86427993774416</td><td>14.869614760080973</td><td>240.98196792602545</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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(\"$('#table139856667548920-2462').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",
       "    $('#table139856667548920-2462').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, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188], 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": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## III - Save the depth map table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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": 14,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'acs_f435w',\n",
       " 'acs_f606w',\n",
       " 'acs_f775w',\n",
       " 'acs_f814w',\n",
       " 'acs_f850lp',\n",
       " 'decam_g',\n",
       " 'decam_i',\n",
       " 'decam_r',\n",
       " 'decam_y',\n",
       " 'decam_z',\n",
       " 'gpc1_g',\n",
       " 'gpc1_i',\n",
       " 'gpc1_r',\n",
       " 'gpc1_y',\n",
       " 'gpc1_z',\n",
       " 'hawki_k',\n",
       " 'irac_i1',\n",
       " 'irac_i2',\n",
       " 'irac_i3',\n",
       " 'irac_i4',\n",
       " 'isaac_k',\n",
       " 'omegacam_g',\n",
       " 'omegacam_i',\n",
       " 'omegacam_r',\n",
       " 'omegacam_u',\n",
       " 'omegacam_z',\n",
       " 'vista_h',\n",
       " 'vista_j',\n",
       " 'vista_ks',\n",
       " 'vista_y',\n",
       " 'vista_z',\n",
       " 'wfc3_f098m',\n",
       " 'wfc3_f105w',\n",
       " 'wfc3_f125w',\n",
       " 'wfc3_f160w',\n",
       " 'wfi_416nm',\n",
       " 'wfi_461nm',\n",
       " 'wfi_485nm',\n",
       " 'wfi_518nm',\n",
       " 'wfi_571nm',\n",
       " 'wfi_604nm',\n",
       " 'wfi_646nm',\n",
       " 'wfi_696nm',\n",
       " 'wfi_753nm',\n",
       " 'wfi_815nm',\n",
       " 'wfi_856nm',\n",
       " 'wfi_914nm',\n",
       " 'wfi_b',\n",
       " 'wfi_i',\n",
       " 'wfi_r',\n",
       " 'wfi_u',\n",
       " 'wfi_v'}"
      ]
     },
     "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": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Passbands on CDFS-SWIRE')"
      ]
     },
     "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": {
    "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": 16,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gpc1_g: mean flux error: 0.7572806506669679, 3sigma in AB mag (Aperture): 23.009054712509702\n",
      "gpc1_r: mean flux error: 0.9357328002738964, 3sigma in AB mag (Aperture): 22.77931723049341\n",
      "gpc1_i: mean flux error: 0.8475967345877123, 3sigma in AB mag (Aperture): 22.88672367595337\n",
      "gpc1_z: mean flux error: 1.0879093278563152, 3sigma in AB mag (Aperture): 22.61571511204871\n",
      "gpc1_y: mean flux error: 1.0816128086109469, 3sigma in AB mag (Aperture): 22.622017309190035\n",
      "wfi_416nm: mean flux error: 0.11377613246440887, 3sigma in AB mag (Aperture): 25.067068945886028\n",
      "wfi_461nm: mean flux error: 0.12192642688751221, 3sigma in AB mag (Aperture): 24.991952246252175\n",
      "wfi_485nm: mean flux error: 0.17386078834533691, 3sigma in AB mag (Aperture): 24.606692751860884\n",
      "wfi_518nm: mean flux error: 0.19460389018058777, 3sigma in AB mag (Aperture): 24.484318069013945\n",
      "wfi_571nm: mean flux error: 0.1675543487071991, 3sigma in AB mag (Aperture): 24.6468076031989\n",
      "wfi_604nm: mean flux error: 0.20636124908924103, 3sigma in AB mag (Aperture): 24.420626493297554\n",
      "wfi_646nm: mean flux error: 0.3961279094219208, 3sigma in AB mag (Aperture): 23.712608258320323\n",
      "wfi_696nm: mean flux error: 0.19594746828079224, 3sigma in AB mag (Aperture): 24.47684772171842\n",
      "wfi_753nm: mean flux error: 0.33146166801452637, 3sigma in AB mag (Aperture): 23.90611358438303\n",
      "wfi_815nm: mean flux error: 0.21977104246616364, 3sigma in AB mag (Aperture): 24.352270692636914\n",
      "wfi_856nm: mean flux error: 0.4343852698802948, 3sigma in AB mag (Aperture): 23.612509138727283\n",
      "wfi_914nm: mean flux error: 0.5239728689193726, 3sigma in AB mag (Aperture): 23.408924863220797\n",
      "wfi_u: mean flux error: 0.059950005263090134, 3sigma in AB mag (Aperture): 25.76272379929545\n",
      "wfi_b: mean flux error: 0.040135063230991364, 3sigma in AB mag (Aperture): 26.19838698438884\n",
      "wfi_v: mean flux error: 0.07349023967981339, 3sigma in AB mag (Aperture): 25.541622703744416\n",
      "wfi_r: mean flux error: 0.0226069875061512, 3sigma in AB mag (Aperture): 26.821590127463587\n",
      "wfi_i: mean flux error: 0.31333398818969727, 3sigma in AB mag (Aperture): 23.967178096850155\n",
      "omegacam_u: mean flux error: 2.511311591330948, 3sigma in AB mag (Aperture): 21.70744536019172\n",
      "omegacam_g: mean flux error: 0.5734693326568753, 3sigma in AB mag (Aperture): 23.310921367825607\n",
      "omegacam_r: mean flux error: 0.7922872670537008, 3sigma in AB mag (Aperture): 22.95999017224451\n",
      "omegacam_i: mean flux error: 1.4834320806357262, 3sigma in AB mag (Aperture): 22.279027696174985\n",
      "omegacam_z: mean flux error: 4.476022309071788, 3sigma in AB mag (Aperture): 21.07996625709746\n",
      "vista_z: mean flux error: 0.1722133904695511, 3sigma in AB mag (Aperture): 24.617029570596337\n",
      "irac_i3: mean flux error: 4.909256210210634, 3sigma in AB mag (Aperture): 20.979657617756082\n",
      "irac_i4: mean flux error: 4.948720801050288, 3sigma in AB mag (Aperture): 20.970964482453333\n",
      "decam_g: mean flux error: 0.1027993557719444, 3sigma in AB mag (Aperture): 25.177220880676394\n",
      "decam_r: mean flux error: 0.12160599388444042, 3sigma in AB mag (Aperture): 24.994809409272214\n",
      "decam_i: mean flux error: 0.21936818291882237, 3sigma in AB mag (Aperture): 24.354262768467997\n",
      "decam_z: mean flux error: 0.4117865109851437, 3sigma in AB mag (Aperture): 23.67051657270141\n",
      "decam_y: mean flux error: 1.4066419345344106, 3sigma in AB mag (Aperture): 22.336737962269375\n",
      "irac_i1: mean flux error: 0.7205447532326866, 3sigma in AB mag (Aperture): 23.063044462857384\n",
      "irac_i2: mean flux error: 0.95774766129445, 3sigma in AB mag (Aperture): 22.754069112798128\n",
      "vista_y: mean flux error: 0.31191600656000723, 3sigma in AB mag (Aperture): 23.972102708270818\n",
      "vista_j: mean flux error: 1.7632260469553904, 3sigma in AB mag (Aperture): 22.091426881300656\n",
      "vista_h: mean flux error: 2.1970480867209172, 3sigma in AB mag (Aperture): 21.85259795716606\n",
      "vista_ks: mean flux error: 3.0590415111454736, 3sigma in AB mag (Aperture): 21.493233437215856\n",
      "gpc1_g: mean flux error: 0.828766000556715, 3sigma in AB mag (Total): 22.91111704771881\n",
      "gpc1_r: mean flux error: 0.9765442831086122, 3sigma in AB mag (Total): 22.732967008417525\n",
      "gpc1_i: mean flux error: 1.0484007092807812, 3sigma in AB mag (Total): 22.6558785979746\n",
      "gpc1_z: mean flux error: 1.740987053810125, 3sigma in AB mag (Total): 22.10520800904296\n",
      "gpc1_y: mean flux error: 4.284603139860406, 3sigma in AB mag (Total): 21.12742035890087\n",
      "wfi_416nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_461nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_485nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_518nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_571nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_604nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_646nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_696nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_753nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_815nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_856nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_914nm: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_u: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_b: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_v: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "wfi_r: mean flux error: 0.05947527289390564, 3sigma in AB mag (Total): 25.771355754668626\n",
      "wfi_i: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "omegacam_u: mean flux error: 3.4125962153959533, 3sigma in AB mag (Total): 21.37448460119129\n",
      "omegacam_g: mean flux error: 0.9078894099593301, 3sigma in AB mag (Total): 22.812114487408813\n",
      "omegacam_r: mean flux error: 1.38562435536946, 3sigma in AB mag (Total): 22.35308309216864\n",
      "omegacam_i: mean flux error: 2.550607022160237, 3sigma in AB mag (Total): 21.690587985643695\n",
      "omegacam_z: mean flux error: 7.663351499054843, 3sigma in AB mag (Total): 20.496149998121943\n",
      "vista_z: mean flux error: 0.31961238384246826, 3sigma in AB mag (Total): 23.94563786736682\n",
      "irac_i3: mean flux error: 6.590304219636124, 3sigma in AB mag (Total): 20.659933206131704\n",
      "irac_i4: mean flux error: 5.47373294027701, 3sigma in AB mag (Total): 20.861487851557477\n",
      "decam_g: mean flux error: 0.1484273113361329, 3sigma in AB mag (Total): 24.778412311799293\n",
      "decam_r: mean flux error: 0.18530145150554156, 3sigma in AB mag (Total): 24.53749981006849\n",
      "decam_i: mean flux error: 0.3587508654894544, 3sigma in AB mag (Total): 23.82021446949492\n",
      "decam_z: mean flux error: 0.7061953216049718, 3sigma in AB mag (Total): 23.08488477288264\n",
      "decam_y: mean flux error: 2.4407179464311746, 3sigma in AB mag (Total): 21.738402876954147\n",
      "irac_i1: mean flux error: 1.1372236735974461, 3sigma in AB mag (Total): 22.567582133637323\n",
      "irac_i2: mean flux error: 1.2450085999860945, 3sigma in AB mag (Total): 22.469265984794937\n",
      "vista_y: mean flux error: 0.5453642483808308, 3sigma in AB mag (Total): 23.36548020282013\n",
      "vista_j: mean flux error: 3.4274921072826166, 3sigma in AB mag (Total): 21.36975570474211\n",
      "vista_h: mean flux error: 4.7847759818817535, 3sigma in AB mag (Total): 21.007542839742122\n",
      "vista_ks: mean flux error: 6.818018036034584, 3sigma in AB mag (Total): 20.6230514988141\n",
      "acs_f435w: mean flux error: 0.01684591919183731, 3sigma in AB mag (Total): 27.14096008046581\n",
      "isaac_k: mean flux error: 0.10790348798036575, 3sigma in AB mag (Total): 25.12460815450232\n",
      "wfc3_f125w: mean flux error: 0.023850014433264732, 3sigma in AB mag (Total): 26.76347524770754\n",
      "wfc3_f098m: mean flux error: 0.028698811307549477, 3sigma in AB mag (Total): 26.56253709116229\n",
      "acs_f606w: mean flux error: 0.013298597186803818, 3sigma in AB mag (Total): 27.39768228449777\n",
      "wfc3_f160w: mean flux error: 0.02874237298965454, 3sigma in AB mag (Total): 26.560890310893136\n",
      "hawki_k: mean flux error: 0.04855722934007645, 3sigma in AB mag (Total): 25.991562118024852\n",
      "acs_f850lp: mean flux error: 0.03505978360772133, 3sigma in AB mag (Total): 26.345173785051593\n",
      "acs_f814w: mean flux error: 0.02730550989508629, 3sigma in AB mag (Total): 26.61657113611306\n",
      "acs_f775w: mean flux error: 0.024519704282283783, 3sigma in AB mag (Total): 26.733408792931037\n",
      "wfc3_f105w: mean flux error: 0.019424518570303917, 3sigma in AB mag (Total): 26.986321203765748\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,
    "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": 18,
   "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": 19,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "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_wfi_416nm (402.0, 431.5, 29.5)\n",
      "ap_wfi_461nm (455.0, 468.0, 13.0)\n",
      "ap_wfi_485nm (470.5, 501.5, 31.0)\n",
      "ap_wfi_518nm (511.0, 527.0, 16.0)\n",
      "ap_wfi_571nm (558.807, 584.0, 25.192993)\n",
      "ap_wfi_604nm (594.0, 614.5, 20.5)\n",
      "ap_wfi_646nm (632.5, 660.0, 27.5)\n",
      "ap_wfi_696nm (686.0, 706.5, 20.5)\n",
      "ap_wfi_753nm (744.5, 762.0, 17.5)\n",
      "ap_wfi_815nm (805.4999, 825.9, 20.400146)\n",
      "ap_wfi_856nm (848.9999, 863.1, 14.100098)\n",
      "ap_wfi_914nm (900.9, 927.114, 26.21399)\n",
      "ap_wfi_u (348.3334, 384.1667, 35.833282)\n",
      "ap_wfi_b (408.5, 505.5, 97.0)\n",
      "ap_wfi_v (495.0, 583.5, 88.5)\n",
      "ap_wfi_r (570.5, 729.0, 158.5)\n",
      "ap_wfi_i (779.0, 923.0, 144.0)\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_omegacam_z (8433.9, 9274.6, 840.6992)\n",
      "ap_vista_z (8300.0, 9260.0, 960.0)\n",
      "ap_irac_i3 (50246.3, 64096.7, 13850.398)\n",
      "ap_irac_i4 (64415.2, 92596.8, 28181.598)\n",
      "ap_decam_g (4180.0, 5470.0, 1290.0)\n",
      "ap_decam_r (5680.0, 7150.0, 1470.0)\n",
      "ap_decam_i (7090.0, 8560.0, 1470.0)\n",
      "ap_decam_z (8490.0, 9960.0, 1470.0)\n",
      "ap_decam_y (9510.0, 10170.0, 660.0)\n",
      "ap_irac_i1 (31754.0, 39164.8, 7410.801)\n",
      "ap_irac_i2 (39980.1, 50052.3, 10072.199)\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",
      "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",
      "wfi_416nm (402.0, 431.5, 29.5)\n",
      "wfi_461nm (455.0, 468.0, 13.0)\n",
      "wfi_485nm (470.5, 501.5, 31.0)\n",
      "wfi_518nm (511.0, 527.0, 16.0)\n",
      "wfi_571nm (558.807, 584.0, 25.192993)\n",
      "wfi_604nm (594.0, 614.5, 20.5)\n",
      "wfi_646nm (632.5, 660.0, 27.5)\n",
      "wfi_696nm (686.0, 706.5, 20.5)\n",
      "wfi_753nm (744.5, 762.0, 17.5)\n",
      "wfi_815nm (805.4999, 825.9, 20.400146)\n",
      "wfi_856nm (848.9999, 863.1, 14.100098)\n",
      "wfi_914nm (900.9, 927.114, 26.21399)\n",
      "wfi_u (348.3334, 384.1667, 35.833282)\n",
      "wfi_b (408.5, 505.5, 97.0)\n",
      "wfi_v (495.0, 583.5, 88.5)\n",
      "wfi_r (570.5, 729.0, 158.5)\n",
      "wfi_i (779.0, 923.0, 144.0)\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",
      "omegacam_z (8433.9, 9274.6, 840.6992)\n",
      "vista_z (8300.0, 9260.0, 960.0)\n",
      "irac_i3 (50246.3, 64096.7, 13850.398)\n",
      "irac_i4 (64415.2, 92596.8, 28181.598)\n",
      "decam_g (4180.0, 5470.0, 1290.0)\n",
      "decam_r (5680.0, 7150.0, 1470.0)\n",
      "decam_i (7090.0, 8560.0, 1470.0)\n",
      "decam_z (8490.0, 9960.0, 1470.0)\n",
      "decam_y (9510.0, 10170.0, 660.0)\n",
      "irac_i1 (31754.0, 39164.8, 7410.801)\n",
      "irac_i2 (39980.1, 50052.3, 10072.199)\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",
      "acs_f435w (3919.51, 4798.78, 879.2698)\n",
      "isaac_k (20251.0, 22994.0, 2743.0)\n",
      "wfc3_f125w (10993.5, 13997.47, 3003.9697)\n",
      "wfc3_f098m (9009.118, 10701.37, 1692.252)\n",
      "acs_f606w (4835.4, 7088.47, 2253.0703)\n",
      "wfc3_f160w (13996.34, 16869.92, 2873.58)\n",
      "hawki_k (19820.0, 23061.0, 3241.0)\n",
      "acs_f850lp (8308.93, 9584.25, 1275.3203)\n",
      "acs_f814w (7069.67, 9138.11, 2068.4404)\n",
      "acs_f775w (7004.51, 8521.38, 1516.8701)\n",
      "wfc3_f105w (9072.924, 11989.37, 2916.4463)\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": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths on CDFS-SWIRE')"
      ]
     },
     "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": {
    "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": 21,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths (5 $\\\\sigma$) vs coverage on CDFS-SWIRE')"
      ]
     },
     "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}