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    "# 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,
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    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was run with herschelhelp_internal version: \n",
      "017bb1e (Mon Jun 18 14:58:59 2018 +0100)\n",
      "This notebook was executed on: \n",
      "2018-06-24 17:39:11.461711\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,
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    "editable": true
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   "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"
   ]
  },
  {
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   "execution_count": 3,
   "metadata": {
    "collapsed": true,
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    "editable": true
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   "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
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   "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": 5,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "# Remove sources whose signal to noise ratio is less than five as these will have been selected using forced \n",
    "# photometry and so the errors will not refelct the RMS of the map \n",
    "for n,col in enumerate(master_catalogue.colnames):\n",
    "    if col.startswith(\"f_\"):\n",
    "        err_col = \"ferr{}\".format(col[1:])\n",
    "        errs = master_catalogue[err_col]\n",
    "        fluxes = master_catalogue[col]\n",
    "        mask = fluxes/errs < 5.0\n",
    "        master_catalogue[col][mask] = np.nan\n",
    "        master_catalogue[err_col][mask] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## I - Group masterlist objects by healpix cell and calculate depths\n",
    "We add a column to the masterlist catalogue for the target order healpix cell <i>per object</i>."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
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    "deletable": true,
    "editable": true
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   "outputs": [],
   "source": [
    "#Add a column to the catalogue with the order=ORDER hp_idx\n",
    "master_catalogue.add_column(Column(data=coords_to_hpidx(master_catalogue['ra'],\n",
    "                                                       master_catalogue['dec'],\n",
    "                                                       ORDER), \n",
    "                                   name=\"hp_idx_O_{}\".format(str(ORDER))\n",
    "                                  )\n",
    "                           )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
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   "outputs": [],
   "source": [
    "# Convert catalogue to pandas and group by the order=ORDER pixel\n",
    "\n",
    "group = master_catalogue.group_by([\"hp_idx_O_{}\".format(str(ORDER))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
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    "deletable": true,
    "editable": true
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   "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
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   "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."
   ]
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   "source": [
    "depths = Table()\n",
    "depths['hp_idx_O_13'] = list(field_moc.flattened(13))"
   ]
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       "<i>Table length=10</i>\n",
       "<table id=\"table139678690173056-228877\" 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>1.5270806756094566</td><td>32.67480378418948</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.611155350583757</td><td>62.934134178986206</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>0.12114455443588756</td><td>4.310915632108071</td><td>0.2106525359798204</td><td>7.755692966815667</td><td>0.15402735908309217</td><td>8.713683140432227</td><td>0.24643945894357275</td><td>16.728634809184065</td><td>0.2615843642813939</td><td>15.737545409461653</td><td>0.47907896528146166</td><td>27.78774836069383</td><td>0.5048892858956554</td><td>28.28018251996895</td><td>1.0355794472879019</td><td>61.530344475423036</td><td>1.7980949912256399</td><td>70.96620468024845</td><td>3.9231758958527143</td><td>107.25239514958703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.537085676193237</td><td>114.00798568725585</td><td>8.575065851211548</td><td>151.84722900390625</td><td>3.2504273761402476</td><td>147.03843688964844</td><td>11.116055488586426</td><td>208.1761703491211</td><td>5.5091377171603115</td><td>142.3178253173828</td><td>15.798018046787806</td><td>257.1520965576172</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>1.5270806756094566</td><td>32.67480378418948</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.611155350583757</td><td>62.934134178986206</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>0.12114455443588756</td><td>4.310915632108071</td><td>0.2106525359798204</td><td>7.755692966815667</td><td>0.15402735908309217</td><td>8.713683140432227</td><td>0.24643945894357275</td><td>16.728634809184065</td><td>0.2615843642813939</td><td>15.737545409461653</td><td>0.47907896528146166</td><td>27.78774836069383</td><td>0.5048892858956554</td><td>28.28018251996895</td><td>1.0355794472879019</td><td>61.530344475423036</td><td>1.7980949912256399</td><td>70.96620468024845</td><td>3.9231758958527143</td><td>107.25239514958703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.537085676193237</td><td>114.00798568725585</td><td>8.575065851211548</td><td>151.84722900390625</td><td>3.2504273761402476</td><td>147.03843688964844</td><td>11.116055488586426</td><td>208.1761703491211</td><td>5.5091377171603115</td><td>142.3178253173828</td><td>15.798018046787806</td><td>257.1520965576172</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>1.5270806756094566</td><td>32.67480378418948</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.611155350583757</td><td>62.934134178986206</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>0.12114455443588756</td><td>4.310915632108071</td><td>0.2106525359798204</td><td>7.755692966815667</td><td>0.15402735908309217</td><td>8.713683140432227</td><td>0.24643945894357275</td><td>16.728634809184065</td><td>0.2615843642813939</td><td>15.737545409461653</td><td>0.47907896528146166</td><td>27.78774836069383</td><td>0.5048892858956554</td><td>28.28018251996895</td><td>1.0355794472879019</td><td>61.530344475423036</td><td>1.7980949912256399</td><td>70.96620468024845</td><td>3.9231758958527143</td><td>107.25239514958703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.537085676193237</td><td>114.00798568725585</td><td>8.575065851211548</td><td>151.84722900390625</td><td>3.2504273761402476</td><td>147.03843688964844</td><td>11.116055488586426</td><td>208.1761703491211</td><td>5.5091377171603115</td><td>142.3178253173828</td><td>15.798018046787806</td><td>257.1520965576172</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>1.5270806756094566</td><td>32.67480378418948</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.611155350583757</td><td>62.934134178986206</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>0.12114455443588756</td><td>4.310915632108071</td><td>0.2106525359798204</td><td>7.755692966815667</td><td>0.15402735908309217</td><td>8.713683140432227</td><td>0.24643945894357275</td><td>16.728634809184065</td><td>0.2615843642813939</td><td>15.737545409461653</td><td>0.47907896528146166</td><td>27.78774836069383</td><td>0.5048892858956554</td><td>28.28018251996895</td><td>1.0355794472879019</td><td>61.530344475423036</td><td>1.7980949912256399</td><td>70.96620468024845</td><td>3.9231758958527143</td><td>107.25239514958703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.537085676193237</td><td>114.00798568725585</td><td>8.575065851211548</td><td>151.84722900390625</td><td>3.2504273761402476</td><td>147.03843688964844</td><td>11.116055488586426</td><td>208.1761703491211</td><td>5.5091377171603115</td><td>142.3178253173828</td><td>15.798018046787806</td><td>257.1520965576172</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>1.5270806756094566</td><td>32.67480378418948</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.611155350583757</td><td>62.934134178986206</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>0.12114455443588756</td><td>4.310915632108071</td><td>0.2106525359798204</td><td>7.755692966815667</td><td>0.15402735908309217</td><td>8.713683140432227</td><td>0.24643945894357275</td><td>16.728634809184065</td><td>0.2615843642813939</td><td>15.737545409461653</td><td>0.47907896528146166</td><td>27.78774836069383</td><td>0.5048892858956554</td><td>28.28018251996895</td><td>1.0355794472879019</td><td>61.530344475423036</td><td>1.7980949912256399</td><td>70.96620468024845</td><td>3.9231758958527143</td><td>107.25239514958703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.537085676193237</td><td>114.00798568725585</td><td>8.575065851211548</td><td>151.84722900390625</td><td>3.2504273761402476</td><td>147.03843688964844</td><td>11.116055488586426</td><td>208.1761703491211</td><td>5.5091377171603115</td><td>142.3178253173828</td><td>15.798018046787806</td><td>257.1520965576172</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>1.5270806756094566</td><td>32.67480378418948</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.611155350583757</td><td>62.934134178986206</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>0.12114455443588756</td><td>4.310915632108071</td><td>0.2106525359798204</td><td>7.755692966815667</td><td>0.15402735908309217</td><td>8.713683140432227</td><td>0.24643945894357275</td><td>16.728634809184065</td><td>0.2615843642813939</td><td>15.737545409461653</td><td>0.47907896528146166</td><td>27.78774836069383</td><td>0.5048892858956554</td><td>28.28018251996895</td><td>1.0355794472879019</td><td>61.530344475423036</td><td>1.7980949912256399</td><td>70.96620468024845</td><td>3.9231758958527143</td><td>107.25239514958703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.537085676193237</td><td>114.00798568725585</td><td>8.575065851211548</td><td>151.84722900390625</td><td>3.2504273761402476</td><td>147.03843688964844</td><td>11.116055488586426</td><td>208.1761703491211</td><td>5.5091377171603115</td><td>142.3178253173828</td><td>15.798018046787806</td><td>257.1520965576172</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>1.5270806756094566</td><td>32.67480378418948</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.611155350583757</td><td>62.934134178986206</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>0.12114455443588756</td><td>4.310915632108071</td><td>0.2106525359798204</td><td>7.755692966815667</td><td>0.15402735908309217</td><td>8.713683140432227</td><td>0.24643945894357275</td><td>16.728634809184065</td><td>0.2615843642813939</td><td>15.737545409461653</td><td>0.47907896528146166</td><td>27.78774836069383</td><td>0.5048892858956554</td><td>28.28018251996895</td><td>1.0355794472879019</td><td>61.530344475423036</td><td>1.7980949912256399</td><td>70.96620468024845</td><td>3.9231758958527143</td><td>107.25239514958703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.537085676193237</td><td>114.00798568725585</td><td>8.575065851211548</td><td>151.84722900390625</td><td>3.2504273761402476</td><td>147.03843688964844</td><td>11.116055488586426</td><td>208.1761703491211</td><td>5.5091377171603115</td><td>142.3178253173828</td><td>15.798018046787806</td><td>257.1520965576172</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>1.5270806756094566</td><td>32.67480378418948</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.611155350583757</td><td>62.934134178986206</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>0.12114455443588756</td><td>4.310915632108071</td><td>0.2106525359798204</td><td>7.755692966815667</td><td>0.15402735908309217</td><td>8.713683140432227</td><td>0.24643945894357275</td><td>16.728634809184065</td><td>0.2615843642813939</td><td>15.737545409461653</td><td>0.47907896528146166</td><td>27.78774836069383</td><td>0.5048892858956554</td><td>28.28018251996895</td><td>1.0355794472879019</td><td>61.530344475423036</td><td>1.7980949912256399</td><td>70.96620468024845</td><td>3.9231758958527143</td><td>107.25239514958703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.537085676193237</td><td>114.00798568725585</td><td>8.575065851211548</td><td>151.84722900390625</td><td>3.2504273761402476</td><td>147.03843688964844</td><td>11.116055488586426</td><td>208.1761703491211</td><td>5.5091377171603115</td><td>142.3178253173828</td><td>15.798018046787806</td><td>257.1520965576172</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>1.5270806756094566</td><td>32.67480378418948</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.611155350583757</td><td>62.934134178986206</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>0.12114455443588756</td><td>4.310915632108071</td><td>0.2106525359798204</td><td>7.755692966815667</td><td>0.15402735908309217</td><td>8.713683140432227</td><td>0.24643945894357275</td><td>16.728634809184065</td><td>0.2615843642813939</td><td>15.737545409461653</td><td>0.47907896528146166</td><td>27.78774836069383</td><td>0.5048892858956554</td><td>28.28018251996895</td><td>1.0355794472879019</td><td>61.530344475423036</td><td>1.7980949912256399</td><td>70.96620468024845</td><td>3.9231758958527143</td><td>107.25239514958703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.537085676193237</td><td>114.00798568725585</td><td>8.575065851211548</td><td>151.84722900390625</td><td>3.2504273761402476</td><td>147.03843688964844</td><td>11.116055488586426</td><td>208.1761703491211</td><td>5.5091377171603115</td><td>142.3178253173828</td><td>15.798018046787806</td><td>257.1520965576172</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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>1.5270806756094566</td><td>32.67480378418948</td><td>0.9647215079890301</td><td>42.2103551602711</td><td>2.611155350583757</td><td>62.934134178986206</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>0.12114455443588756</td><td>4.310915632108071</td><td>0.2106525359798204</td><td>7.755692966815667</td><td>0.15402735908309217</td><td>8.713683140432227</td><td>0.24643945894357275</td><td>16.728634809184065</td><td>0.2615843642813939</td><td>15.737545409461653</td><td>0.47907896528146166</td><td>27.78774836069383</td><td>0.5048892858956554</td><td>28.28018251996895</td><td>1.0355794472879019</td><td>61.530344475423036</td><td>1.7980949912256399</td><td>70.96620468024845</td><td>3.9231758958527143</td><td>107.25239514958703</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.537085676193237</td><td>114.00798568725585</td><td>8.575065851211548</td><td>151.84722900390625</td><td>3.2504273761402476</td><td>147.03843688964844</td><td>11.116055488586426</td><td>208.1761703491211</td><td>5.5091377171603115</td><td>142.3178253173828</td><td>15.798018046787806</td><td>257.1520965576172</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><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(\"$('#table139678690173056-228877').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",
       "    $('#table139678690173056-228877').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": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for col in master_catalogue.colnames:\n",
    "    if col.startswith(\"f_\"):\n",
    "        errcol = \"ferr{}\".format(col[1:])\n",
    "        depths = join(depths, \n",
    "                      group[\"hp_idx_O_{}\".format(str(ORDER)), errcol].groups.aggregate(np.nanmean),\n",
    "                     join_type='left')\n",
    "        depths[errcol].name = errcol + \"_mean\"\n",
    "        depths = join(depths, \n",
    "                      group[\"hp_idx_O_{}\".format(str(ORDER)), col].groups.aggregate(lambda x: np.nanpercentile(x, 90.)),\n",
    "                     join_type='left')\n",
    "        depths[col].name = col + \"_p90\"\n",
    "\n",
    "depths[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## III - Save the depth map table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "depths.write(\"{}/depths_{}_{}.fits\".format(OUT_DIR, FIELD.lower(), SUFFIX), overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## IV - Overview plots\n",
    "\n",
    "### IV.a - Filters\n",
    "First we simply plot all the filters available on this field to give an overview of coverage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'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": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tot_bands = [column[2:] for column in master_catalogue.colnames \n",
    "             if (column.startswith('f_') & ~column.startswith('f_ap_'))]\n",
    "ap_bands = [column[5:] for column in master_catalogue.colnames \n",
    "            if column.startswith('f_ap_') ]\n",
    "bands = set(tot_bands) | set(ap_bands)\n",
    "bands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Passbands on CDFS-SWIRE')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for b in bands:\n",
    "    plt.plot(Table(data = parse_single_table(FILTERS_DIR + b + '.xml').array.data)['Wavelength']\n",
    "            ,Table(data = parse_single_table(FILTERS_DIR + b + '.xml').array.data)['Transmission']\n",
    "            , label=b)\n",
    "plt.xlabel('Wavelength ($\\AA$)')\n",
    "plt.ylabel('Transmission')\n",
    "plt.xscale('log')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "plt.title('Passbands on {}'.format(FIELD))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### IV.a - Depth overview\n",
    "Then we plot the mean depths available across the area a given band is available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gpc1_g: mean flux error: 0.7589069771689209, 3sigma in AB mag (Aperture): 23.00672549914757\n",
      "gpc1_r: mean flux error: 0.9364406084126637, 3sigma in AB mag (Aperture): 22.77849626705558\n",
      "gpc1_i: mean flux error: 0.8476029317738658, 3sigma in AB mag (Aperture): 22.886715737644387\n",
      "gpc1_z: mean flux error: 1.087929215905091, 3sigma in AB mag (Aperture): 22.615695263908172\n",
      "gpc1_y: mean flux error: 1.081628230260327, 3sigma in AB mag (Aperture): 22.622001828859574\n",
      "wfi_416nm: mean flux error: 0.19967558979988098, 3sigma in AB mag (Aperture): 24.45638442339743\n",
      "wfi_461nm: mean flux error: 0.18789733946323395, 3sigma in AB mag (Aperture): 24.522395286347837\n",
      "wfi_485nm: mean flux error: 0.4201333820819855, 3sigma in AB mag (Aperture): 23.64872888776562\n",
      "wfi_518nm: mean flux error: 0.45744848251342773, 3sigma in AB mag (Aperture): 23.556341385063256\n",
      "wfi_571nm: mean flux error: 0.2656632661819458, 3sigma in AB mag (Aperture): 24.146368093823405\n",
      "wfi_604nm: mean flux error: 0.39411380887031555, 3sigma in AB mag (Aperture): 23.718142733591286\n",
      "wfi_646nm: mean flux error: 0.9282249212265015, 3sigma in AB mag (Aperture): 22.78806380247118\n",
      "wfi_696nm: mean flux error: 0.3049502670764923, 3sigma in AB mag (Aperture): 23.99662431807463\n",
      "wfi_753nm: mean flux error: 0.5736021399497986, 3sigma in AB mag (Aperture): 23.310669955964592\n",
      "wfi_815nm: mean flux error: 0.2912442684173584, 3sigma in AB mag (Aperture): 24.04655339480413\n",
      "wfi_856nm: mean flux error: 0.6132618188858032, 3sigma in AB mag (Aperture): 23.23808204631083\n",
      "wfi_914nm: mean flux error: 0.8071908950805664, 3sigma in AB mag (Aperture): 22.939756226903263\n",
      "wfi_u: mean flux error: 0.07020299881696701, 3sigma in AB mag (Aperture): 25.591307703181023\n",
      "wfi_b: mean flux error: 0.04487614333629608, 3sigma in AB mag (Aperture): 26.077158046933015\n",
      "wfi_v: mean flux error: 0.09392257779836655, 3sigma in AB mag (Aperture): 25.27527185392531\n",
      "wfi_r: mean flux error: 0.022640286013484, 3sigma in AB mag (Aperture): 26.81999209077805\n",
      "wfi_i: mean flux error: 0.48522883653640747, 3sigma in AB mag (Aperture): 23.49233035686691\n",
      "omegacam_u: mean flux error: 2.5286319375091773, 3sigma in AB mag (Aperture): 21.6999828158795\n",
      "omegacam_g: mean flux error: 0.5750051357252625, 3sigma in AB mag (Aperture): 23.30801755405424\n",
      "omegacam_r: mean flux error: 0.7949842074265685, 3sigma in AB mag (Aperture): 22.956300609784883\n",
      "omegacam_i: mean flux error: 1.4888823050139512, 3sigma in AB mag (Aperture): 22.275045942029273\n",
      "omegacam_z: mean flux error: 4.492414342227941, 3sigma in AB mag (Aperture): 21.07599735050257\n",
      "vista_z: mean flux error: 0.1704217940568924, 3sigma in AB mag (Aperture): 24.62838403100013\n",
      "irac_i3: mean flux error: 4.8962561784652054, 3sigma in AB mag (Aperture): 20.98253653174637\n",
      "irac_i4: mean flux error: 4.937872762778012, 3sigma in AB mag (Aperture): 20.973347125687035\n",
      "decam_g: mean flux error: 0.1049676618382408, 3sigma in AB mag (Aperture): 25.154558054772387\n",
      "decam_r: mean flux error: 0.12220675726391589, 3sigma in AB mag (Aperture): 24.989458812401445\n",
      "decam_i: mean flux error: 0.22073337589458136, 3sigma in AB mag (Aperture): 24.347526849610965\n",
      "decam_z: mean flux error: 0.4149472396980336, 3sigma in AB mag (Aperture): 23.662214663376425\n",
      "decam_y: mean flux error: 1.4534412833076966, 3sigma in AB mag (Aperture): 22.301203134046766\n",
      "irac_i1: mean flux error: 0.6363468329904046, 3sigma in AB mag (Aperture): 23.19796214563035\n",
      "irac_i2: mean flux error: 0.7732141591189164, 3sigma in AB mag (Aperture): 22.98644736759632\n",
      "vista_y: mean flux error: 0.3125592350116489, 3sigma in AB mag (Aperture): 23.969866024993827\n",
      "vista_j: mean flux error: 1.7873756542409223, 3sigma in AB mag (Aperture): 22.076657267864796\n",
      "vista_h: mean flux error: 2.2228288083874084, 3sigma in AB mag (Aperture): 21.839931821428145\n",
      "vista_ks: mean flux error: 3.0793439382932095, 3sigma in AB mag (Aperture): 21.486051366047754\n",
      "gpc1_g: mean flux error: 0.8489822036903213, 3sigma in AB mag (Total): 22.884950396484065\n",
      "gpc1_r: mean flux error: 0.9907228240167762, 3sigma in AB mag (Total): 22.71731644252082\n",
      "gpc1_i: mean flux error: 1.052243461687974, 3sigma in AB mag (Total): 22.651906273555205\n",
      "gpc1_z: mean flux error: 1.7554615448256632, 3sigma in AB mag (Total): 22.096218562595077\n",
      "gpc1_y: mean flux error: 4.414214295353593, 3sigma in AB mag (Total): 21.095063330992623\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: 0.06531063467264175, 3sigma in AB mag (Total): 25.669737102831\n",
      "wfi_i: mean flux error: nan, 3sigma in AB mag (Total): nan\n",
      "omegacam_u: mean flux error: 3.567400624362798, 3sigma in AB mag (Total): 21.326317153227457\n",
      "omegacam_g: mean flux error: 0.9403876293268237, 3sigma in AB mag (Total): 22.773929594688845\n",
      "omegacam_r: mean flux error: 1.448857230338744, 3sigma in AB mag (Total): 22.304632882150393\n",
      "omegacam_i: mean flux error: 2.6604690640622537, 3sigma in AB mag (Total): 21.64480132991759\n",
      "omegacam_z: mean flux error: 8.021295471794588, 3sigma in AB mag (Total): 20.446585577522548\n",
      "vista_z: mean flux error: 0.3265467584133148, 3sigma in AB mag (Total): 23.92233342086579\n",
      "irac_i3: mean flux error: 4.954800886668944, 3sigma in AB mag (Total): 20.969631346600913\n",
      "irac_i4: mean flux error: 5.351628226003137, 3sigma in AB mag (Total): 20.8859820240422\n",
      "decam_g: mean flux error: 0.16494838834027112, 3sigma in AB mag (Total): 24.663826671838542\n",
      "decam_r: mean flux error: 0.19687950057941947, 3sigma in AB mag (Total): 24.47169561562739\n",
      "decam_i: mean flux error: 0.4030530309742297, 3sigma in AB mag (Total): 23.69379138467017\n",
      "decam_z: mean flux error: 0.8277102629520637, 3sigma in AB mag (Total): 22.912501012850775\n",
      "decam_y: mean flux error: 3.1091569013055946, 3sigma in AB mag (Total): 21.47559026583503\n",
      "irac_i1: mean flux error: 0.8716614889070333, 3sigma in AB mag (Total): 22.85632721635826\n",
      "irac_i2: mean flux error: 1.015836100232573, 3sigma in AB mag (Total): 22.69013775697919\n",
      "vista_y: mean flux error: 0.5832045370600194, 3sigma in AB mag (Total): 23.29264462837056\n",
      "vista_j: mean flux error: 3.9839754388707465, 3sigma in AB mag (Total): 21.206405232343137\n",
      "vista_h: mean flux error: 5.506090189008781, 3sigma in AB mag (Total): 20.855088561200482\n",
      "vista_ks: mean flux error: 7.85056991999061, 3sigma in AB mag (Total): 20.469943898368733\n",
      "acs_f435w: mean flux error: 0.021210933104157448, 3sigma in AB mag (Total): 26.890797427520845\n",
      "isaac_k: mean flux error: 0.12856951355934143, 3sigma in AB mag (Total): 24.93435186129826\n",
      "wfc3_f125w: mean flux error: 0.025031808763742447, 3sigma in AB mag (Total): 26.71096628255514\n",
      "wfc3_f098m: mean flux error: 0.033805906772613525, 3sigma in AB mag (Total): 26.384715389531245\n",
      "acs_f606w: mean flux error: 0.014733335934579372, 3sigma in AB mag (Total): 27.28644413493496\n",
      "wfc3_f160w: mean flux error: 0.029942817986011505, 3sigma in AB mag (Total): 26.51646518729614\n",
      "hawki_k: mean flux error: 0.04639224708080292, 3sigma in AB mag (Total): 26.041083341304777\n",
      "acs_f850lp: mean flux error: 0.040405116975307465, 3sigma in AB mag (Total): 26.191105942168285\n",
      "acs_f814w: mean flux error: 0.03229200094938278, 3sigma in AB mag (Total): 26.434459471751815\n",
      "acs_f775w: mean flux error: 0.026500312611460686, 3sigma in AB mag (Total): 26.64906937037471\n",
      "wfc3_f105w: mean flux error: 0.021652745082974434, 3sigma in AB mag (Total): 26.868414455725137\n"
     ]
    }
   ],
   "source": [
    "average_depths = []\n",
    "for b in ap_bands:\n",
    "    \n",
    "    mean_err = np.nanmean(depths['ferr_ap_{}_mean'.format(b)])\n",
    "    print(\"{}: mean flux error: {}, 3sigma in AB mag (Aperture): {}\".format(b, mean_err, flux_to_mag(3.0*mean_err*1.e-6)[0]))\n",
    "    average_depths += [('ap_' + b, flux_to_mag(1.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(3.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(5.0*mean_err*1.e-6)[0])]\n",
    "    \n",
    "for b in tot_bands:\n",
    "    \n",
    "    mean_err = np.nanmean(depths['ferr_{}_mean'.format(b)])\n",
    "    print(\"{}: mean flux error: {}, 3sigma in AB mag (Total): {}\".format(b, mean_err, flux_to_mag(3.0*mean_err*1.e-6)[0]))\n",
    "    average_depths += [(b, flux_to_mag(1.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(3.0*mean_err*1.e-6)[0], \n",
    "                        flux_to_mag(5.0*mean_err*1.e-6)[0])]\n",
    "    \n",
    "average_depths = np.array(average_depths,  dtype=[('band', \"<U16\"), ('1s', float), ('3s', float), ('5s', float)])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "def FWHM(X,Y):\n",
    "    \n",
    "    half_max = max(Y) / 2.\n",
    "    #find when function crosses line half_max (when sign of diff flips)\n",
    "    #take the 'derivative' of signum(half_max - Y[])\n",
    "    d = half_max - Y\n",
    "    #plot(X,d) #if you are interested\n",
    "    #find the left and right most indexes\n",
    "    low_end = X[np.where(d < 0)[0][0]]\n",
    "    high_end = X[np.where(d < 0)[0][-1]]\n",
    "    return low_end, high_end, (high_end - low_end)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "data = []\n",
    "\n",
    "for b in ap_bands:\n",
    "    data += [['ap_' + b, Table(data = parse_single_table(FILTERS_DIR + b +'.xml').array.data)]]\n",
    "    \n",
    "for b in tot_bands:\n",
    "    data += [[b, Table(data = parse_single_table(FILTERS_DIR + b +'.xml').array.data)]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ap_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": 21,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths 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",
    "    plt.plot([wav_deets[0],wav_deets[1]], [depth,depth], label=dat[0])\n",
    "    \n",
    "plt.xlabel('Wavelength ($\\AA$)')\n",
    "plt.ylabel('Depth')\n",
    "plt.xscale('log')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "plt.title('Depths on {}'.format(FIELD))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### IV.c - Depth vs coverage comparison\n",
    "\n",
    "How best to do this? Colour/intensity plot over area? Percentage coverage vs mean depth?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths (5 $\\\\sigma$) vs coverage on CDFS-SWIRE')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dat in data:\n",
    "    wav_deets = FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))\n",
    "    depth = average_depths['5s'][average_depths['band'] == dat[0]]\n",
    "    #print(depth)\n",
    "    coverage = np.sum(~np.isnan(depths['ferr_{}_mean'.format(dat[0])]))/len(depths)\n",
    "    plt.plot(coverage, depth, 'x', label=dat[0])\n",
    "    \n",
    "plt.xlabel('Coverage')\n",
    "plt.ylabel('Depth')\n",
    "#plt.xscale('log')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "plt.title('Depths (5 $\\sigma$) vs coverage on {}'.format(FIELD))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (herschelhelp_internal)",
   "language": "python",
   "name": "helpint"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}