{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# HDF-N 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",
      "0246c5d (Thu Jan 25 17:01:47 2018 +0000) [with local modifications]\n",
      "This notebook was executed on: \n",
      "2018-02-27 22:24:03.014619\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 = 'HDF-N'\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_hdf-n_20180219.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=\"table139788570652512-49344\" 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>184352768</td></tr>\n",
       "<tr><td>1</td><td>184352769</td></tr>\n",
       "<tr><td>2</td><td>184352770</td></tr>\n",
       "<tr><td>3</td><td>184352771</td></tr>\n",
       "<tr><td>4</td><td>184352772</td></tr>\n",
       "<tr><td>5</td><td>184352773</td></tr>\n",
       "<tr><td>6</td><td>184352774</td></tr>\n",
       "<tr><td>7</td><td>184352775</td></tr>\n",
       "<tr><td>8</td><td>184352776</td></tr>\n",
       "<tr><td>9</td><td>184352777</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(\"$('#table139788570652512-49344').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",
       "    $('#table139788570652512-49344').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=\"table139787701024192-90477\" 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>184352768</td><td>2880512</td></tr>\n",
       "<tr><td>1</td><td>184352769</td><td>2880512</td></tr>\n",
       "<tr><td>2</td><td>184352770</td><td>2880512</td></tr>\n",
       "<tr><td>3</td><td>184352771</td><td>2880512</td></tr>\n",
       "<tr><td>4</td><td>184352772</td><td>2880512</td></tr>\n",
       "<tr><td>5</td><td>184352773</td><td>2880512</td></tr>\n",
       "<tr><td>6</td><td>184352774</td><td>2880512</td></tr>\n",
       "<tr><td>7</td><td>184352775</td><td>2880512</td></tr>\n",
       "<tr><td>8</td><td>184352776</td><td>2880512</td></tr>\n",
       "<tr><td>9</td><td>184352777</td><td>2880512</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(\"$('#table139787701024192-90477').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",
       "    $('#table139787701024192-90477').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 masked=True length=10</i>\n",
       "<table id=\"table139787700534352-451164\" 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_acs_f435w_mean</th><th>f_acs_f435w_p90</th><th>ferr_acs_f606w_mean</th><th>f_acs_f606w_p90</th><th>ferr_acs_f775w_mean</th><th>f_acs_f775w_p90</th><th>ferr_acs_f814w_mean</th><th>f_acs_f814w_p90</th><th>ferr_acs_f850lp_mean</th><th>f_acs_f850lp_p90</th><th>ferr_wfc3_f105w_mean</th><th>f_wfc3_f105w_p90</th><th>ferr_wfc3_f125w_mean</th><th>f_wfc3_f125w_p90</th><th>ferr_wfc3_f140w_mean</th><th>f_wfc3_f140w_p90</th><th>ferr_wfc3_f160w_mean</th><th>f_wfc3_f160w_p90</th><th>ferr_moircs_k_mean</th><th>f_moircs_k_p90</th><th>ferr_ap_mosaic_u_mean</th><th>f_ap_mosaic_u_p90</th><th>ferr_mosaic_u_mean</th><th>f_mosaic_u_p90</th><th>ferr_ap_suprime_b_mean</th><th>f_ap_suprime_b_p90</th><th>ferr_suprime_b_mean</th><th>f_suprime_b_p90</th><th>ferr_ap_suprime_v_mean</th><th>f_ap_suprime_v_p90</th><th>ferr_suprime_v_mean</th><th>f_suprime_v_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_ip_mean</th><th>f_ap_suprime_ip_p90</th><th>ferr_suprime_ip_mean</th><th>f_suprime_ip_p90</th><th>ferr_ap_suprime_zp_mean</th><th>f_ap_suprime_zp_p90</th><th>ferr_suprime_zp_mean</th><th>f_suprime_zp_p90</th><th>ferr_ap_quirc_hk_mean</th><th>f_ap_quirc_hk_p90</th><th>ferr_quirc_hk_mean</th><th>f_quirc_hk_p90</th><th>ferr_wircam_ks_mean</th><th>f_wircam_ks_p90</th><th>ferr_irac_i1_mean</th><th>f_irac_i1_p90</th><th>ferr_irac_i2_mean</th><th>f_irac_i2_p90</th><th>ferr_irac_i3_mean</th><th>f_irac_i3_p90</th><th>ferr_irac_i4_mean</th><th>f_irac_i4_p90</th></tr></thead>\n",
       "<tr><td>0</td><td>183959166</td><td>2874361</td><td>1.36349728267</td><td>38.4686341208</td><td>0.94265381479</td><td>32.1987517723</td><td>1.00277503477</td><td>56.8609103397</td><td>0.823154004199</td><td>51.4549528885</td><td>2.02550223151</td><td>95.7649788545</td><td>2.80239465014</td><td>112.12098489</td><td>2.59001800967</td><td>198.042582568</td><td>2.32348369828</td><td>179.284979056</td><td>3.89713513658</td><td>258.884312149</td><td>4.80302810848</td><td>242.963304728</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>183959164</td><td>2874361</td><td>1.36349728267</td><td>38.4686341208</td><td>0.94265381479</td><td>32.1987517723</td><td>1.00277503477</td><td>56.8609103397</td><td>0.823154004199</td><td>51.4549528885</td><td>2.02550223151</td><td>95.7649788545</td><td>2.80239465014</td><td>112.12098489</td><td>2.59001800967</td><td>198.042582568</td><td>2.32348369828</td><td>179.284979056</td><td>3.89713513658</td><td>258.884312149</td><td>4.80302810848</td><td>242.963304728</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>183959163</td><td>2874361</td><td>1.36349728267</td><td>38.4686341208</td><td>0.94265381479</td><td>32.1987517723</td><td>1.00277503477</td><td>56.8609103397</td><td>0.823154004199</td><td>51.4549528885</td><td>2.02550223151</td><td>95.7649788545</td><td>2.80239465014</td><td>112.12098489</td><td>2.59001800967</td><td>198.042582568</td><td>2.32348369828</td><td>179.284979056</td><td>3.89713513658</td><td>258.884312149</td><td>4.80302810848</td><td>242.963304728</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>183959167</td><td>2874361</td><td>1.36349728267</td><td>38.4686341208</td><td>0.94265381479</td><td>32.1987517723</td><td>1.00277503477</td><td>56.8609103397</td><td>0.823154004199</td><td>51.4549528885</td><td>2.02550223151</td><td>95.7649788545</td><td>2.80239465014</td><td>112.12098489</td><td>2.59001800967</td><td>198.042582568</td><td>2.32348369828</td><td>179.284979056</td><td>3.89713513658</td><td>258.884312149</td><td>4.80302810848</td><td>242.963304728</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>183959165</td><td>2874361</td><td>1.36349728267</td><td>38.4686341208</td><td>0.94265381479</td><td>32.1987517723</td><td>1.00277503477</td><td>56.8609103397</td><td>0.823154004199</td><td>51.4549528885</td><td>2.02550223151</td><td>95.7649788545</td><td>2.80239465014</td><td>112.12098489</td><td>2.59001800967</td><td>198.042582568</td><td>2.32348369828</td><td>179.284979056</td><td>3.89713513658</td><td>258.884312149</td><td>4.80302810848</td><td>242.963304728</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>183959151</td><td>2874361</td><td>1.36349728267</td><td>38.4686341208</td><td>0.94265381479</td><td>32.1987517723</td><td>1.00277503477</td><td>56.8609103397</td><td>0.823154004199</td><td>51.4549528885</td><td>2.02550223151</td><td>95.7649788545</td><td>2.80239465014</td><td>112.12098489</td><td>2.59001800967</td><td>198.042582568</td><td>2.32348369828</td><td>179.284979056</td><td>3.89713513658</td><td>258.884312149</td><td>4.80302810848</td><td>242.963304728</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>183959162</td><td>2874361</td><td>1.36349728267</td><td>38.4686341208</td><td>0.94265381479</td><td>32.1987517723</td><td>1.00277503477</td><td>56.8609103397</td><td>0.823154004199</td><td>51.4549528885</td><td>2.02550223151</td><td>95.7649788545</td><td>2.80239465014</td><td>112.12098489</td><td>2.59001800967</td><td>198.042582568</td><td>2.32348369828</td><td>179.284979056</td><td>3.89713513658</td><td>258.884312149</td><td>4.80302810848</td><td>242.963304728</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>183959161</td><td>2874361</td><td>1.36349728267</td><td>38.4686341208</td><td>0.94265381479</td><td>32.1987517723</td><td>1.00277503477</td><td>56.8609103397</td><td>0.823154004199</td><td>51.4549528885</td><td>2.02550223151</td><td>95.7649788545</td><td>2.80239465014</td><td>112.12098489</td><td>2.59001800967</td><td>198.042582568</td><td>2.32348369828</td><td>179.284979056</td><td>3.89713513658</td><td>258.884312149</td><td>4.80302810848</td><td>242.963304728</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>183959160</td><td>2874361</td><td>1.36349728267</td><td>38.4686341208</td><td>0.94265381479</td><td>32.1987517723</td><td>1.00277503477</td><td>56.8609103397</td><td>0.823154004199</td><td>51.4549528885</td><td>2.02550223151</td><td>95.7649788545</td><td>2.80239465014</td><td>112.12098489</td><td>2.59001800967</td><td>198.042582568</td><td>2.32348369828</td><td>179.284979056</td><td>3.89713513658</td><td>258.884312149</td><td>4.80302810848</td><td>242.963304728</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>183959222</td><td>2874362</td><td>1.43261960371</td><td>85.533856972</td><td>1.58735992714</td><td>102.487589081</td><td>1.37367770294</td><td>174.369032175</td><td>1.61382225164</td><td>222.803302428</td><td>1.94212170393</td><td>252.51696121</td><td>1.81585887799</td><td>342.312866182</td><td>3.73786549485</td><td>289.795306332</td><td>2.83961809027</td><td>384.009266565</td><td>5.78158514745</td><td>300.492974209</td><td>8.94413077402</td><td>475.579330311</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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(\"$('#table139787700534352-451164').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",
       "    $('#table139787700534352-451164').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], 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",
       " '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",
       " 'moircs_k',\n",
       " 'mosaic_u',\n",
       " 'quirc_hk',\n",
       " 'suprime_b',\n",
       " 'suprime_ip',\n",
       " 'suprime_r',\n",
       " 'suprime_v',\n",
       " 'suprime_zp',\n",
       " 'wfc3_f105w',\n",
       " 'wfc3_f125w',\n",
       " 'wfc3_f140w',\n",
       " 'wfc3_f160w',\n",
       " 'wircam_ks'}"
      ]
     },
     "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": [
       "<matplotlib.text.Text at 0x7f22d0eb4358>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtwAAAHOCAYAAACrX95kAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\niIiIiMiOmHATEREREdnR/wf0Zg+jBrqBPQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f22d14a93c8>"
      ]
     },
     "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: 49.31889105795856, 3sigma in AB mag (Aperture): 18.474663606044878\n",
      "gpc1_r: mean flux error: 3.9650023892121498, 3sigma in AB mag (Aperture): 21.21158822982887\n",
      "gpc1_i: mean flux error: 28.839910761999484, 3sigma in AB mag (Aperture): 19.05721208262043\n",
      "gpc1_z: mean flux error: 21.881597184502564, 3sigma in AB mag (Aperture): 19.356999315950922\n",
      "gpc1_y: mean flux error: 42.15458136573825, 3sigma in AB mag (Aperture): 18.64508491142542\n",
      "mosaic_u: mean flux error: 0.037849102429692624, 3sigma in AB mag (Aperture): 26.262057900932525\n",
      "suprime_b: mean flux error: 0.036868076515944356, 3sigma in AB mag (Aperture): 26.290570662818745\n",
      "suprime_v: mean flux error: 0.043454611888431194, 3sigma in AB mag (Aperture): 26.11210717467946\n",
      "suprime_r: mean flux error: 0.034602777768592184, 3sigma in AB mag (Aperture): 26.35941945428616\n",
      "suprime_ip: mean flux error: 0.09358766967248164, 3sigma in AB mag (Aperture): 25.279150279441858\n",
      "suprime_zp: mean flux error: 0.12159221232312142, 3sigma in AB mag (Aperture): 24.994932462318793\n",
      "quirc_hk: mean flux error: 2.6074063198573043, 3sigma in AB mag (Aperture): 21.666675078603895\n",
      "gpc1_g: mean flux error: 21.940918363220646, 3sigma in AB mag (Total): 19.354059859373486\n",
      "gpc1_r: mean flux error: 3.539784110499412, 3sigma in AB mag (Total): 21.334754924575584\n",
      "gpc1_i: mean flux error: 5.930459506566338, 3sigma in AB mag (Total): 20.774476001023437\n",
      "gpc1_z: mean flux error: 9.88114732694127, 3sigma in AB mag (Total): 20.220178426622915\n",
      "gpc1_y: mean flux error: 40.950411302280756, 3sigma in AB mag (Total): 18.67655119286733\n",
      "acs_f435w: mean flux error: 24518589460.49422, 3sigma in AB mag (Total): -3.266541841469696\n",
      "acs_f606w: mean flux error: -3485900157.9875946, 3sigma in AB mag (Total): nan\n",
      "acs_f775w: mean flux error: -8150367983.31671, 3sigma in AB mag (Total): nan\n",
      "acs_f814w: mean flux error: -6035782824.048011, 3sigma in AB mag (Total): nan\n",
      "acs_f850lp: mean flux error: -19538527428.49734, 3sigma in AB mag (Total): nan\n",
      "wfc3_f105w: mean flux error: 17951690756.750423, 3sigma in AB mag (Total): -2.9280665325595123\n",
      "wfc3_f125w: mean flux error: 3149191470.7425175, 3sigma in AB mag (Total): -1.0383008031245353\n",
      "wfc3_f140w: mean flux error: 18078406457.130688, 3sigma in AB mag (Total): -2.93570350284228\n",
      "wfc3_f160w: mean flux error: 0.06776823408194037, 3sigma in AB mag (Total): 25.62963144106113\n",
      "moircs_k: mean flux error: 832.740080918873, 3sigma in AB mag (Total): 15.405923192329148\n",
      "mosaic_u: mean flux error: 0.037338022674080984, 3sigma in AB mag (Total): 26.27681857545057\n",
      "suprime_b: mean flux error: 0.015313337191511709, 3sigma in AB mag (Total): 27.244522249302413\n",
      "suprime_v: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "suprime_r: mean flux error: 0.025553774485105058, 3sigma in AB mag (Total): 26.68855921875754\n",
      "suprime_ip: mean flux error: 0.05139216547444444, 3sigma in AB mag (Total): 25.929954569144165\n",
      "suprime_zp: mean flux error: 0.07008859890513011, 3sigma in AB mag (Total): 25.593078417260124\n",
      "quirc_hk: mean flux error: inf, 3sigma in AB mag (Total): -inf\n",
      "wircam_ks: mean flux error: 0.7207638901599277, 3sigma in AB mag (Total): 23.062714311645685\n",
      "irac_i1: mean flux error: 0.11422102499281485, 3sigma in AB mag (Total): 25.062831730441992\n",
      "irac_i2: mean flux error: 0.1062667161755575, 3sigma in AB mag (Total): 25.141203712353082\n",
      "irac_i3: mean flux error: -94.31939782470842, 3sigma in AB mag (Total): nan\n",
      "irac_i4: mean flux error: -6.697126659591726, 3sigma in AB mag (Total): nan\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_mosaic_u (3276.0, 3890.0, 614.0)\n",
      "ap_suprime_b (3827.0, 4906.0, 1079.0)\n",
      "ap_suprime_v (4941.6001, 5925.7998, 984.19971)\n",
      "ap_suprime_r (5440.0, 6960.0, 1520.0)\n",
      "ap_suprime_ip (6895.0, 8437.5, 1542.5)\n",
      "ap_suprime_zp (8073.5, 8416.0, 342.5)\n",
      "ap_quirc_hk (8073.5, 8416.0, 342.5)\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_f435w (3919.51, 4798.7798, 879.26978)\n",
      "acs_f606w (4835.3999, 7088.4702, 2253.0703)\n",
      "acs_f775w (7004.5098, 8521.3799, 1516.8701)\n",
      "acs_f814w (7069.6699, 9138.1104, 2068.4404)\n",
      "acs_f850lp (8308.9297, 9584.25, 1275.3203)\n",
      "wfc3_f105w (9072.9238, 11989.37, 2916.4463)\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, 2873.5801)\n",
      "moircs_k (20072.0, 24010.0, 3938.0)\n",
      "mosaic_u (3276.0, 3890.0, 614.0)\n",
      "suprime_b (3827.0, 4906.0, 1079.0)\n",
      "suprime_v (4941.6001, 5925.7998, 984.19971)\n",
      "suprime_r (5440.0, 6960.0, 1520.0)\n",
      "suprime_ip (6895.0, 8437.5, 1542.5)\n",
      "suprime_zp (8073.5, 8416.0, 342.5)\n",
      "quirc_hk (8073.5, 8416.0, 342.5)\n",
      "wircam_ks (19870.0, 23135.0, 3265.0)\n",
      "irac_i1 (31754.0, 39164.801, 7410.8008)\n",
      "irac_i2 (39980.102, 50052.301, 10072.199)\n",
      "irac_i3 (50246.301, 64096.699, 13850.398)\n",
      "irac_i4 (64415.199, 92596.797, 28181.598)\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": [
       "<matplotlib.text.Text at 0x7f22ceb12940>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuoAAAKNCAYAAAB2lk5EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f22ceb2d4e0>"
      ]
     },
     "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": [
       "<matplotlib.text.Text at 0x7f22ce93de48>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuoAAAKPCAYAAAA7Xu9PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f22cea3a9b0>"
      ]
     },
     "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
}