{
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   "cell_type": "markdown",
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    "deletable": true,
    "editable": true
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   "source": [
    "# GAMA-09 Selection Functions\n",
    "## Depth maps and selection functions\n",
    "\n",
    "The simplest selection function available is the field MOC which specifies the area for which there is Herschel data. Each pristine catalogue also has a MOC defining the area for which that data is available.\n",
    "\n",
    "The next stage is to provide mean flux standard deviations which act as a proxy for the catalogue's 5$\\sigma$ depth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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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",
      "2018-06-25 12:27:18.081578\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 = 'GAMA-09'\n",
    "#FILTERS_DIR = \"/Users/rs548/GitHub/herschelhelp_python/database_builder/filters/\"\n",
    "FILTERS_DIR = \"/opt/herschelhelp_python/database_builder/filters/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Depth maps produced using: master_catalogue_gama-09_20180601.fits\n"
     ]
    }
   ],
   "source": [
    "TMP_DIR = os.environ.get('TMP_DIR', \"./data_tmp\")\n",
    "OUT_DIR = os.environ.get('OUT_DIR', \"./data\")\n",
    "SUFFIX = find_last_ml_suffix()\n",
    "#SUFFIX = \"20171016\"\n",
    "\n",
    "master_catalogue_filename = \"master_catalogue_{}_{}.fits\".format(FIELD.lower(), SUFFIX)\n",
    "master_catalogue = Table.read(\"{}/{}\".format(OUT_DIR, master_catalogue_filename))\n",
    "\n",
    "print(\"Depth maps produced using: {}\".format(master_catalogue_filename))\n",
    "\n",
    "ORDER = 10\n",
    "#TODO write code to decide on appropriate order\n",
    "\n",
    "field_moc = MOC(filename=\"../../dmu2/dmu2_field_coverages/{}_MOC.fits\".format(FIELD))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Remove sources whose signal to noise ratio is less than five as these will have been selected using forced \n",
    "# photometry and so the errors will not refelct the RMS of the map \n",
    "for n,col in enumerate(master_catalogue.colnames):\n",
    "    if col.startswith(\"f_\"):\n",
    "        err_col = \"ferr{}\".format(col[1:])\n",
    "        errs = master_catalogue[err_col]\n",
    "        fluxes = master_catalogue[col]\n",
    "        mask = fluxes/errs < 5.0\n",
    "        master_catalogue[col][mask] = np.nan\n",
    "        master_catalogue[err_col][mask] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## I - Group masterlist objects by healpix cell and calculate depths\n",
    "We add a column to the masterlist catalogue for the target order healpix cell <i>per object</i>."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#Add a column to the catalogue with the order=ORDER hp_idx\n",
    "master_catalogue.add_column(Column(data=coords_to_hpidx(master_catalogue['ra'],\n",
    "                                                       master_catalogue['dec'],\n",
    "                                                       ORDER), \n",
    "                                   name=\"hp_idx_O_{}\".format(str(ORDER))\n",
    "                                  )\n",
    "                           )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# Convert catalogue to pandas and group by the order=ORDER pixel\n",
    "\n",
    "group = master_catalogue.group_by([\"hp_idx_O_{}\".format(str(ORDER))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#Downgrade the groups from order=ORDER to order=13 and then fill out the appropriate cells\n",
    "#hp.pixelfunc.ud_grade([2599293, 2599294], nside_out=hp.order2nside(13))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## II Create a table of all Order=13 healpix cells in the field and populate it\n",
    "We create a table with every order=13 healpix cell in the field MOC. We then calculate the healpix cell at lower order that the order=13 cell is in. We then fill in the depth at every order=13 cell as calculated for the lower order cell that that the order=13 cell is inside."
   ]
  },
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   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "depths = Table()\n",
    "depths['hp_idx_O_13'] = list(field_moc.flattened(13))"
   ]
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   "execution_count": 10,
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       "<table id=\"table140386442495032-4964\" 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_megacam_u_mean</th><th>f_ap_megacam_u_p90</th><th>ferr_megacam_u_mean</th><th>f_megacam_u_p90</th><th>ferr_ap_megacam_g_mean</th><th>f_ap_megacam_g_p90</th><th>ferr_megacam_g_mean</th><th>f_megacam_g_p90</th><th>ferr_ap_megacam_r_mean</th><th>f_ap_megacam_r_p90</th><th>ferr_megacam_r_mean</th><th>f_megacam_r_p90</th><th>ferr_ap_megacam_i_mean</th><th>f_ap_megacam_i_p90</th><th>ferr_megacam_i_mean</th><th>f_megacam_i_p90</th><th>ferr_ap_megacam_z_mean</th><th>f_ap_megacam_z_p90</th><th>ferr_megacam_z_mean</th><th>f_megacam_z_p90</th><th>ferr_ap_decam_g_mean</th><th>f_ap_decam_g_p90</th><th>ferr_decam_g_mean</th><th>f_decam_g_p90</th><th>ferr_ap_decam_r_mean</th><th>f_ap_decam_r_p90</th><th>ferr_decam_r_mean</th><th>f_decam_r_p90</th><th>ferr_ap_decam_z_mean</th><th>f_ap_decam_z_p90</th><th>ferr_decam_z_mean</th><th>f_decam_z_p90</th><th>ferr_ap_suprime_g_mean</th><th>f_ap_suprime_g_p90</th><th>ferr_suprime_g_mean</th><th>f_suprime_g_p90</th><th>ferr_ap_suprime_r_mean</th><th>f_ap_suprime_r_p90</th><th>ferr_suprime_r_mean</th><th>f_suprime_r_p90</th><th>ferr_ap_suprime_i_mean</th><th>f_ap_suprime_i_p90</th><th>ferr_suprime_i_mean</th><th>f_suprime_i_p90</th><th>ferr_ap_suprime_z_mean</th><th>f_ap_suprime_z_p90</th><th>ferr_suprime_z_mean</th><th>f_suprime_z_p90</th><th>ferr_ap_suprime_y_mean</th><th>f_ap_suprime_y_p90</th><th>ferr_suprime_y_mean</th><th>f_suprime_y_p90</th><th>ferr_ap_omegacam_u_mean</th><th>f_ap_omegacam_u_p90</th><th>ferr_omegacam_u_mean</th><th>f_omegacam_u_p90</th><th>ferr_ap_omegacam_g_mean</th><th>f_ap_omegacam_g_p90</th><th>ferr_omegacam_g_mean</th><th>f_omegacam_g_p90</th><th>ferr_ap_omegacam_r_mean</th><th>f_ap_omegacam_r_p90</th><th>ferr_omegacam_r_mean</th><th>f_omegacam_r_p90</th><th>ferr_ap_omegacam_i_mean</th><th>f_ap_omegacam_i_p90</th><th>ferr_omegacam_i_mean</th><th>f_omegacam_i_p90</th><th>ferr_ap_gpc1_g_mean</th><th>f_ap_gpc1_g_p90</th><th>ferr_gpc1_g_mean</th><th>f_gpc1_g_p90</th><th>ferr_ap_gpc1_r_mean</th><th>f_ap_gpc1_r_p90</th><th>ferr_gpc1_r_mean</th><th>f_gpc1_r_p90</th><th>ferr_ap_gpc1_i_mean</th><th>f_ap_gpc1_i_p90</th><th>ferr_gpc1_i_mean</th><th>f_gpc1_i_p90</th><th>ferr_ap_gpc1_z_mean</th><th>f_ap_gpc1_z_p90</th><th>ferr_gpc1_z_mean</th><th>f_gpc1_z_p90</th><th>ferr_ap_gpc1_y_mean</th><th>f_ap_gpc1_y_p90</th><th>ferr_gpc1_y_mean</th><th>f_gpc1_y_p90</th><th>ferr_ap_ukidss_y_mean</th><th>f_ap_ukidss_y_p90</th><th>ferr_ukidss_y_mean</th><th>f_ukidss_y_p90</th><th>ferr_ap_ukidss_j_mean</th><th>f_ap_ukidss_j_p90</th><th>ferr_ukidss_j_mean</th><th>f_ukidss_j_p90</th><th>ferr_ap_ukidss_h_mean</th><th>f_ap_ukidss_h_p90</th><th>ferr_ukidss_h_mean</th><th>f_ukidss_h_p90</th><th>ferr_ap_ukidss_k_mean</th><th>f_ap_ukidss_k_p90</th><th>ferr_ukidss_k_mean</th><th>f_ukidss_k_p90</th><th>ferr_ap_vista_z_mean</th><th>f_ap_vista_z_p90</th><th>ferr_vista_z_mean</th><th>f_vista_z_p90</th><th>ferr_ap_vista_y_mean</th><th>f_ap_vista_y_p90</th><th>ferr_vista_y_mean</th><th>f_vista_y_p90</th><th>ferr_ap_vista_j_mean</th><th>f_ap_vista_j_p90</th><th>ferr_vista_j_mean</th><th>f_vista_j_p90</th><th>ferr_ap_vista_h_mean</th><th>f_ap_vista_h_p90</th><th>ferr_vista_h_mean</th><th>f_vista_h_p90</th><th>ferr_ap_vista_ks_mean</th><th>f_ap_vista_ks_p90</th><th>ferr_vista_ks_mean</th><th>f_vista_ks_p90</th></tr></thead>\n",
       "<thead><tr><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th>uJy</th><th>uJy</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr></thead>\n",
       "<tr><td>0</td><td>67108864</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.071273e-07</td><td>2.219086563854945e-05</td><td>0.23891595</td><td>11.457367706298829</td><td>3.1425782e-07</td><td>4.08082105423091e-05</td><td>0.3205096</td><td>21.450888633728038</td><td>2.2510854e-07</td><td>2.852808083844139e-05</td><td>0.1811421</td><td>20.618700790405278</td><td>0.01926224</td><td>1.093110775947571</td><td>0.034778833</td><td>1.8777025938034058</td><td>0.030870374</td><td>2.207973670959474</td><td>0.053353354</td><td>4.028220462799073</td><td>0.041768204</td><td>3.9088841676712036</td><td>0.072007015</td><td>6.394688367843629</td><td>0.06151843</td><td>6.307412719726562</td><td>0.10487225</td><td>9.14298677444458</td><td>0.14352015</td><td>11.514863014221191</td><td>0.25547522</td><td>16.634721374511738</td><td>0.3888968</td><td>63.67387886047371</td><td>0.52538955</td><td>53.09270019531243</td><td>0.10194926</td><td>5.193379402160647</td><td>0.12590013</td><td>7.6650718688964865</td><td>0.13300735</td><td>8.715188312530517</td><td>0.16042137</td><td>12.884206199645995</td><td>0.23194352</td><td>19.81114673614502</td><td>0.28397176</td><td>21.936244392395018</td><td>0.9146511199688802</td><td>90.33195380168462</td><td>1.4129377104634835</td><td>87.22473294297698</td><td>2.426566489712307</td><td>310.59886159292296</td><td>1.9975555268295415</td><td>209.93888170771322</td><td>2.1769331990034124</td><td>192.24658435591698</td><td>1.5630501880790477</td><td>154.29788934567114</td><td>146.9257488416712</td><td>599.0112124616078</td><td>119.29082726469397</td><td>394.5893886961105</td><td>68.0845813961089</td><td>1101.7424374626748</td><td>71.37364667915077</td><td>926.2673819532978</td><td>3.2966712</td><td>280.6819839477539</td><td>5.1108465</td><td>565.7011718750006</td><td>4.862965</td><td>535.046569824219</td><td>6.1554484</td><td>572.4893798828125</td><td>4.8178754</td><td>427.43753967285147</td><td>8.013827</td><td>502.00401611328124</td><td>6.3801355</td><td>367.36008605957045</td><td>12.952429</td><td>857.0261047363313</td><td>0.46263823</td><td>6.169202089309692</td><td>0.98753554</td><td>14.446976852416993</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.9294524192810059</td><td>28.43710155487061</td><td>2.602437734603882</td><td>18.900683403015137</td><td>1.7355504155158996</td><td>15.964161586761474</td><td>3.796893763542175</td><td>58.08679122924804</td><td>2.36790292603629</td><td>26.66351928710938</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>1</td><td>67108911</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.071273e-07</td><td>2.219086563854945e-05</td><td>0.23891595</td><td>11.457367706298829</td><td>3.1425782e-07</td><td>4.08082105423091e-05</td><td>0.3205096</td><td>21.450888633728038</td><td>2.2510854e-07</td><td>2.852808083844139e-05</td><td>0.1811421</td><td>20.618700790405278</td><td>0.01926224</td><td>1.093110775947571</td><td>0.034778833</td><td>1.8777025938034058</td><td>0.030870374</td><td>2.207973670959474</td><td>0.053353354</td><td>4.028220462799073</td><td>0.041768204</td><td>3.9088841676712036</td><td>0.072007015</td><td>6.394688367843629</td><td>0.06151843</td><td>6.307412719726562</td><td>0.10487225</td><td>9.14298677444458</td><td>0.14352015</td><td>11.514863014221191</td><td>0.25547522</td><td>16.634721374511738</td><td>0.3888968</td><td>63.67387886047371</td><td>0.52538955</td><td>53.09270019531243</td><td>0.10194926</td><td>5.193379402160647</td><td>0.12590013</td><td>7.6650718688964865</td><td>0.13300735</td><td>8.715188312530517</td><td>0.16042137</td><td>12.884206199645995</td><td>0.23194352</td><td>19.81114673614502</td><td>0.28397176</td><td>21.936244392395018</td><td>0.9146511199688802</td><td>90.33195380168462</td><td>1.4129377104634835</td><td>87.22473294297698</td><td>2.426566489712307</td><td>310.59886159292296</td><td>1.9975555268295415</td><td>209.93888170771322</td><td>2.1769331990034124</td><td>192.24658435591698</td><td>1.5630501880790477</td><td>154.29788934567114</td><td>146.9257488416712</td><td>599.0112124616078</td><td>119.29082726469397</td><td>394.5893886961105</td><td>68.0845813961089</td><td>1101.7424374626748</td><td>71.37364667915077</td><td>926.2673819532978</td><td>3.2966712</td><td>280.6819839477539</td><td>5.1108465</td><td>565.7011718750006</td><td>4.862965</td><td>535.046569824219</td><td>6.1554484</td><td>572.4893798828125</td><td>4.8178754</td><td>427.43753967285147</td><td>8.013827</td><td>502.00401611328124</td><td>6.3801355</td><td>367.36008605957045</td><td>12.952429</td><td>857.0261047363313</td><td>0.46263823</td><td>6.169202089309692</td><td>0.98753554</td><td>14.446976852416993</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.9294524192810059</td><td>28.43710155487061</td><td>2.602437734603882</td><td>18.900683403015137</td><td>1.7355504155158996</td><td>15.964161586761474</td><td>3.796893763542175</td><td>58.08679122924804</td><td>2.36790292603629</td><td>26.66351928710938</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>2</td><td>67108912</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.071273e-07</td><td>2.219086563854945e-05</td><td>0.23891595</td><td>11.457367706298829</td><td>3.1425782e-07</td><td>4.08082105423091e-05</td><td>0.3205096</td><td>21.450888633728038</td><td>2.2510854e-07</td><td>2.852808083844139e-05</td><td>0.1811421</td><td>20.618700790405278</td><td>0.01926224</td><td>1.093110775947571</td><td>0.034778833</td><td>1.8777025938034058</td><td>0.030870374</td><td>2.207973670959474</td><td>0.053353354</td><td>4.028220462799073</td><td>0.041768204</td><td>3.9088841676712036</td><td>0.072007015</td><td>6.394688367843629</td><td>0.06151843</td><td>6.307412719726562</td><td>0.10487225</td><td>9.14298677444458</td><td>0.14352015</td><td>11.514863014221191</td><td>0.25547522</td><td>16.634721374511738</td><td>0.3888968</td><td>63.67387886047371</td><td>0.52538955</td><td>53.09270019531243</td><td>0.10194926</td><td>5.193379402160647</td><td>0.12590013</td><td>7.6650718688964865</td><td>0.13300735</td><td>8.715188312530517</td><td>0.16042137</td><td>12.884206199645995</td><td>0.23194352</td><td>19.81114673614502</td><td>0.28397176</td><td>21.936244392395018</td><td>0.9146511199688802</td><td>90.33195380168462</td><td>1.4129377104634835</td><td>87.22473294297698</td><td>2.426566489712307</td><td>310.59886159292296</td><td>1.9975555268295415</td><td>209.93888170771322</td><td>2.1769331990034124</td><td>192.24658435591698</td><td>1.5630501880790477</td><td>154.29788934567114</td><td>146.9257488416712</td><td>599.0112124616078</td><td>119.29082726469397</td><td>394.5893886961105</td><td>68.0845813961089</td><td>1101.7424374626748</td><td>71.37364667915077</td><td>926.2673819532978</td><td>3.2966712</td><td>280.6819839477539</td><td>5.1108465</td><td>565.7011718750006</td><td>4.862965</td><td>535.046569824219</td><td>6.1554484</td><td>572.4893798828125</td><td>4.8178754</td><td>427.43753967285147</td><td>8.013827</td><td>502.00401611328124</td><td>6.3801355</td><td>367.36008605957045</td><td>12.952429</td><td>857.0261047363313</td><td>0.46263823</td><td>6.169202089309692</td><td>0.98753554</td><td>14.446976852416993</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.9294524192810059</td><td>28.43710155487061</td><td>2.602437734603882</td><td>18.900683403015137</td><td>1.7355504155158996</td><td>15.964161586761474</td><td>3.796893763542175</td><td>58.08679122924804</td><td>2.36790292603629</td><td>26.66351928710938</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>3</td><td>67108913</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.071273e-07</td><td>2.219086563854945e-05</td><td>0.23891595</td><td>11.457367706298829</td><td>3.1425782e-07</td><td>4.08082105423091e-05</td><td>0.3205096</td><td>21.450888633728038</td><td>2.2510854e-07</td><td>2.852808083844139e-05</td><td>0.1811421</td><td>20.618700790405278</td><td>0.01926224</td><td>1.093110775947571</td><td>0.034778833</td><td>1.8777025938034058</td><td>0.030870374</td><td>2.207973670959474</td><td>0.053353354</td><td>4.028220462799073</td><td>0.041768204</td><td>3.9088841676712036</td><td>0.072007015</td><td>6.394688367843629</td><td>0.06151843</td><td>6.307412719726562</td><td>0.10487225</td><td>9.14298677444458</td><td>0.14352015</td><td>11.514863014221191</td><td>0.25547522</td><td>16.634721374511738</td><td>0.3888968</td><td>63.67387886047371</td><td>0.52538955</td><td>53.09270019531243</td><td>0.10194926</td><td>5.193379402160647</td><td>0.12590013</td><td>7.6650718688964865</td><td>0.13300735</td><td>8.715188312530517</td><td>0.16042137</td><td>12.884206199645995</td><td>0.23194352</td><td>19.81114673614502</td><td>0.28397176</td><td>21.936244392395018</td><td>0.9146511199688802</td><td>90.33195380168462</td><td>1.4129377104634835</td><td>87.22473294297698</td><td>2.426566489712307</td><td>310.59886159292296</td><td>1.9975555268295415</td><td>209.93888170771322</td><td>2.1769331990034124</td><td>192.24658435591698</td><td>1.5630501880790477</td><td>154.29788934567114</td><td>146.9257488416712</td><td>599.0112124616078</td><td>119.29082726469397</td><td>394.5893886961105</td><td>68.0845813961089</td><td>1101.7424374626748</td><td>71.37364667915077</td><td>926.2673819532978</td><td>3.2966712</td><td>280.6819839477539</td><td>5.1108465</td><td>565.7011718750006</td><td>4.862965</td><td>535.046569824219</td><td>6.1554484</td><td>572.4893798828125</td><td>4.8178754</td><td>427.43753967285147</td><td>8.013827</td><td>502.00401611328124</td><td>6.3801355</td><td>367.36008605957045</td><td>12.952429</td><td>857.0261047363313</td><td>0.46263823</td><td>6.169202089309692</td><td>0.98753554</td><td>14.446976852416993</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.9294524192810059</td><td>28.43710155487061</td><td>2.602437734603882</td><td>18.900683403015137</td><td>1.7355504155158996</td><td>15.964161586761474</td><td>3.796893763542175</td><td>58.08679122924804</td><td>2.36790292603629</td><td>26.66351928710938</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>4</td><td>67108895</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.071273e-07</td><td>2.219086563854945e-05</td><td>0.23891595</td><td>11.457367706298829</td><td>3.1425782e-07</td><td>4.08082105423091e-05</td><td>0.3205096</td><td>21.450888633728038</td><td>2.2510854e-07</td><td>2.852808083844139e-05</td><td>0.1811421</td><td>20.618700790405278</td><td>0.01926224</td><td>1.093110775947571</td><td>0.034778833</td><td>1.8777025938034058</td><td>0.030870374</td><td>2.207973670959474</td><td>0.053353354</td><td>4.028220462799073</td><td>0.041768204</td><td>3.9088841676712036</td><td>0.072007015</td><td>6.394688367843629</td><td>0.06151843</td><td>6.307412719726562</td><td>0.10487225</td><td>9.14298677444458</td><td>0.14352015</td><td>11.514863014221191</td><td>0.25547522</td><td>16.634721374511738</td><td>0.3888968</td><td>63.67387886047371</td><td>0.52538955</td><td>53.09270019531243</td><td>0.10194926</td><td>5.193379402160647</td><td>0.12590013</td><td>7.6650718688964865</td><td>0.13300735</td><td>8.715188312530517</td><td>0.16042137</td><td>12.884206199645995</td><td>0.23194352</td><td>19.81114673614502</td><td>0.28397176</td><td>21.936244392395018</td><td>0.9146511199688802</td><td>90.33195380168462</td><td>1.4129377104634835</td><td>87.22473294297698</td><td>2.426566489712307</td><td>310.59886159292296</td><td>1.9975555268295415</td><td>209.93888170771322</td><td>2.1769331990034124</td><td>192.24658435591698</td><td>1.5630501880790477</td><td>154.29788934567114</td><td>146.9257488416712</td><td>599.0112124616078</td><td>119.29082726469397</td><td>394.5893886961105</td><td>68.0845813961089</td><td>1101.7424374626748</td><td>71.37364667915077</td><td>926.2673819532978</td><td>3.2966712</td><td>280.6819839477539</td><td>5.1108465</td><td>565.7011718750006</td><td>4.862965</td><td>535.046569824219</td><td>6.1554484</td><td>572.4893798828125</td><td>4.8178754</td><td>427.43753967285147</td><td>8.013827</td><td>502.00401611328124</td><td>6.3801355</td><td>367.36008605957045</td><td>12.952429</td><td>857.0261047363313</td><td>0.46263823</td><td>6.169202089309692</td><td>0.98753554</td><td>14.446976852416993</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.9294524192810059</td><td>28.43710155487061</td><td>2.602437734603882</td><td>18.900683403015137</td><td>1.7355504155158996</td><td>15.964161586761474</td><td>3.796893763542175</td><td>58.08679122924804</td><td>2.36790292603629</td><td>26.66351928710938</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>5</td><td>67108915</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.071273e-07</td><td>2.219086563854945e-05</td><td>0.23891595</td><td>11.457367706298829</td><td>3.1425782e-07</td><td>4.08082105423091e-05</td><td>0.3205096</td><td>21.450888633728038</td><td>2.2510854e-07</td><td>2.852808083844139e-05</td><td>0.1811421</td><td>20.618700790405278</td><td>0.01926224</td><td>1.093110775947571</td><td>0.034778833</td><td>1.8777025938034058</td><td>0.030870374</td><td>2.207973670959474</td><td>0.053353354</td><td>4.028220462799073</td><td>0.041768204</td><td>3.9088841676712036</td><td>0.072007015</td><td>6.394688367843629</td><td>0.06151843</td><td>6.307412719726562</td><td>0.10487225</td><td>9.14298677444458</td><td>0.14352015</td><td>11.514863014221191</td><td>0.25547522</td><td>16.634721374511738</td><td>0.3888968</td><td>63.67387886047371</td><td>0.52538955</td><td>53.09270019531243</td><td>0.10194926</td><td>5.193379402160647</td><td>0.12590013</td><td>7.6650718688964865</td><td>0.13300735</td><td>8.715188312530517</td><td>0.16042137</td><td>12.884206199645995</td><td>0.23194352</td><td>19.81114673614502</td><td>0.28397176</td><td>21.936244392395018</td><td>0.9146511199688802</td><td>90.33195380168462</td><td>1.4129377104634835</td><td>87.22473294297698</td><td>2.426566489712307</td><td>310.59886159292296</td><td>1.9975555268295415</td><td>209.93888170771322</td><td>2.1769331990034124</td><td>192.24658435591698</td><td>1.5630501880790477</td><td>154.29788934567114</td><td>146.9257488416712</td><td>599.0112124616078</td><td>119.29082726469397</td><td>394.5893886961105</td><td>68.0845813961089</td><td>1101.7424374626748</td><td>71.37364667915077</td><td>926.2673819532978</td><td>3.2966712</td><td>280.6819839477539</td><td>5.1108465</td><td>565.7011718750006</td><td>4.862965</td><td>535.046569824219</td><td>6.1554484</td><td>572.4893798828125</td><td>4.8178754</td><td>427.43753967285147</td><td>8.013827</td><td>502.00401611328124</td><td>6.3801355</td><td>367.36008605957045</td><td>12.952429</td><td>857.0261047363313</td><td>0.46263823</td><td>6.169202089309692</td><td>0.98753554</td><td>14.446976852416993</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.9294524192810059</td><td>28.43710155487061</td><td>2.602437734603882</td><td>18.900683403015137</td><td>1.7355504155158996</td><td>15.964161586761474</td><td>3.796893763542175</td><td>58.08679122924804</td><td>2.36790292603629</td><td>26.66351928710938</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>6</td><td>67108865</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.071273e-07</td><td>2.219086563854945e-05</td><td>0.23891595</td><td>11.457367706298829</td><td>3.1425782e-07</td><td>4.08082105423091e-05</td><td>0.3205096</td><td>21.450888633728038</td><td>2.2510854e-07</td><td>2.852808083844139e-05</td><td>0.1811421</td><td>20.618700790405278</td><td>0.01926224</td><td>1.093110775947571</td><td>0.034778833</td><td>1.8777025938034058</td><td>0.030870374</td><td>2.207973670959474</td><td>0.053353354</td><td>4.028220462799073</td><td>0.041768204</td><td>3.9088841676712036</td><td>0.072007015</td><td>6.394688367843629</td><td>0.06151843</td><td>6.307412719726562</td><td>0.10487225</td><td>9.14298677444458</td><td>0.14352015</td><td>11.514863014221191</td><td>0.25547522</td><td>16.634721374511738</td><td>0.3888968</td><td>63.67387886047371</td><td>0.52538955</td><td>53.09270019531243</td><td>0.10194926</td><td>5.193379402160647</td><td>0.12590013</td><td>7.6650718688964865</td><td>0.13300735</td><td>8.715188312530517</td><td>0.16042137</td><td>12.884206199645995</td><td>0.23194352</td><td>19.81114673614502</td><td>0.28397176</td><td>21.936244392395018</td><td>0.9146511199688802</td><td>90.33195380168462</td><td>1.4129377104634835</td><td>87.22473294297698</td><td>2.426566489712307</td><td>310.59886159292296</td><td>1.9975555268295415</td><td>209.93888170771322</td><td>2.1769331990034124</td><td>192.24658435591698</td><td>1.5630501880790477</td><td>154.29788934567114</td><td>146.9257488416712</td><td>599.0112124616078</td><td>119.29082726469397</td><td>394.5893886961105</td><td>68.0845813961089</td><td>1101.7424374626748</td><td>71.37364667915077</td><td>926.2673819532978</td><td>3.2966712</td><td>280.6819839477539</td><td>5.1108465</td><td>565.7011718750006</td><td>4.862965</td><td>535.046569824219</td><td>6.1554484</td><td>572.4893798828125</td><td>4.8178754</td><td>427.43753967285147</td><td>8.013827</td><td>502.00401611328124</td><td>6.3801355</td><td>367.36008605957045</td><td>12.952429</td><td>857.0261047363313</td><td>0.46263823</td><td>6.169202089309692</td><td>0.98753554</td><td>14.446976852416993</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.9294524192810059</td><td>28.43710155487061</td><td>2.602437734603882</td><td>18.900683403015137</td><td>1.7355504155158996</td><td>15.964161586761474</td><td>3.796893763542175</td><td>58.08679122924804</td><td>2.36790292603629</td><td>26.66351928710938</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>7</td><td>67108898</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.071273e-07</td><td>2.219086563854945e-05</td><td>0.23891595</td><td>11.457367706298829</td><td>3.1425782e-07</td><td>4.08082105423091e-05</td><td>0.3205096</td><td>21.450888633728038</td><td>2.2510854e-07</td><td>2.852808083844139e-05</td><td>0.1811421</td><td>20.618700790405278</td><td>0.01926224</td><td>1.093110775947571</td><td>0.034778833</td><td>1.8777025938034058</td><td>0.030870374</td><td>2.207973670959474</td><td>0.053353354</td><td>4.028220462799073</td><td>0.041768204</td><td>3.9088841676712036</td><td>0.072007015</td><td>6.394688367843629</td><td>0.06151843</td><td>6.307412719726562</td><td>0.10487225</td><td>9.14298677444458</td><td>0.14352015</td><td>11.514863014221191</td><td>0.25547522</td><td>16.634721374511738</td><td>0.3888968</td><td>63.67387886047371</td><td>0.52538955</td><td>53.09270019531243</td><td>0.10194926</td><td>5.193379402160647</td><td>0.12590013</td><td>7.6650718688964865</td><td>0.13300735</td><td>8.715188312530517</td><td>0.16042137</td><td>12.884206199645995</td><td>0.23194352</td><td>19.81114673614502</td><td>0.28397176</td><td>21.936244392395018</td><td>0.9146511199688802</td><td>90.33195380168462</td><td>1.4129377104634835</td><td>87.22473294297698</td><td>2.426566489712307</td><td>310.59886159292296</td><td>1.9975555268295415</td><td>209.93888170771322</td><td>2.1769331990034124</td><td>192.24658435591698</td><td>1.5630501880790477</td><td>154.29788934567114</td><td>146.9257488416712</td><td>599.0112124616078</td><td>119.29082726469397</td><td>394.5893886961105</td><td>68.0845813961089</td><td>1101.7424374626748</td><td>71.37364667915077</td><td>926.2673819532978</td><td>3.2966712</td><td>280.6819839477539</td><td>5.1108465</td><td>565.7011718750006</td><td>4.862965</td><td>535.046569824219</td><td>6.1554484</td><td>572.4893798828125</td><td>4.8178754</td><td>427.43753967285147</td><td>8.013827</td><td>502.00401611328124</td><td>6.3801355</td><td>367.36008605957045</td><td>12.952429</td><td>857.0261047363313</td><td>0.46263823</td><td>6.169202089309692</td><td>0.98753554</td><td>14.446976852416993</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.9294524192810059</td><td>28.43710155487061</td><td>2.602437734603882</td><td>18.900683403015137</td><td>1.7355504155158996</td><td>15.964161586761474</td><td>3.796893763542175</td><td>58.08679122924804</td><td>2.36790292603629</td><td>26.66351928710938</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>8</td><td>67108867</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.071273e-07</td><td>2.219086563854945e-05</td><td>0.23891595</td><td>11.457367706298829</td><td>3.1425782e-07</td><td>4.08082105423091e-05</td><td>0.3205096</td><td>21.450888633728038</td><td>2.2510854e-07</td><td>2.852808083844139e-05</td><td>0.1811421</td><td>20.618700790405278</td><td>0.01926224</td><td>1.093110775947571</td><td>0.034778833</td><td>1.8777025938034058</td><td>0.030870374</td><td>2.207973670959474</td><td>0.053353354</td><td>4.028220462799073</td><td>0.041768204</td><td>3.9088841676712036</td><td>0.072007015</td><td>6.394688367843629</td><td>0.06151843</td><td>6.307412719726562</td><td>0.10487225</td><td>9.14298677444458</td><td>0.14352015</td><td>11.514863014221191</td><td>0.25547522</td><td>16.634721374511738</td><td>0.3888968</td><td>63.67387886047371</td><td>0.52538955</td><td>53.09270019531243</td><td>0.10194926</td><td>5.193379402160647</td><td>0.12590013</td><td>7.6650718688964865</td><td>0.13300735</td><td>8.715188312530517</td><td>0.16042137</td><td>12.884206199645995</td><td>0.23194352</td><td>19.81114673614502</td><td>0.28397176</td><td>21.936244392395018</td><td>0.9146511199688802</td><td>90.33195380168462</td><td>1.4129377104634835</td><td>87.22473294297698</td><td>2.426566489712307</td><td>310.59886159292296</td><td>1.9975555268295415</td><td>209.93888170771322</td><td>2.1769331990034124</td><td>192.24658435591698</td><td>1.5630501880790477</td><td>154.29788934567114</td><td>146.9257488416712</td><td>599.0112124616078</td><td>119.29082726469397</td><td>394.5893886961105</td><td>68.0845813961089</td><td>1101.7424374626748</td><td>71.37364667915077</td><td>926.2673819532978</td><td>3.2966712</td><td>280.6819839477539</td><td>5.1108465</td><td>565.7011718750006</td><td>4.862965</td><td>535.046569824219</td><td>6.1554484</td><td>572.4893798828125</td><td>4.8178754</td><td>427.43753967285147</td><td>8.013827</td><td>502.00401611328124</td><td>6.3801355</td><td>367.36008605957045</td><td>12.952429</td><td>857.0261047363313</td><td>0.46263823</td><td>6.169202089309692</td><td>0.98753554</td><td>14.446976852416993</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.9294524192810059</td><td>28.43710155487061</td><td>2.602437734603882</td><td>18.900683403015137</td><td>1.7355504155158996</td><td>15.964161586761474</td><td>3.796893763542175</td><td>58.08679122924804</td><td>2.36790292603629</td><td>26.66351928710938</td><td>nan</td><td>nan</td></tr>\n",
       "<tr><td>9</td><td>67108900</td><td>1048576</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>2.071273e-07</td><td>2.219086563854945e-05</td><td>0.23891595</td><td>11.457367706298829</td><td>3.1425782e-07</td><td>4.08082105423091e-05</td><td>0.3205096</td><td>21.450888633728038</td><td>2.2510854e-07</td><td>2.852808083844139e-05</td><td>0.1811421</td><td>20.618700790405278</td><td>0.01926224</td><td>1.093110775947571</td><td>0.034778833</td><td>1.8777025938034058</td><td>0.030870374</td><td>2.207973670959474</td><td>0.053353354</td><td>4.028220462799073</td><td>0.041768204</td><td>3.9088841676712036</td><td>0.072007015</td><td>6.394688367843629</td><td>0.06151843</td><td>6.307412719726562</td><td>0.10487225</td><td>9.14298677444458</td><td>0.14352015</td><td>11.514863014221191</td><td>0.25547522</td><td>16.634721374511738</td><td>0.3888968</td><td>63.67387886047371</td><td>0.52538955</td><td>53.09270019531243</td><td>0.10194926</td><td>5.193379402160647</td><td>0.12590013</td><td>7.6650718688964865</td><td>0.13300735</td><td>8.715188312530517</td><td>0.16042137</td><td>12.884206199645995</td><td>0.23194352</td><td>19.81114673614502</td><td>0.28397176</td><td>21.936244392395018</td><td>0.9146511199688802</td><td>90.33195380168462</td><td>1.4129377104634835</td><td>87.22473294297698</td><td>2.426566489712307</td><td>310.59886159292296</td><td>1.9975555268295415</td><td>209.93888170771322</td><td>2.1769331990034124</td><td>192.24658435591698</td><td>1.5630501880790477</td><td>154.29788934567114</td><td>146.9257488416712</td><td>599.0112124616078</td><td>119.29082726469397</td><td>394.5893886961105</td><td>68.0845813961089</td><td>1101.7424374626748</td><td>71.37364667915077</td><td>926.2673819532978</td><td>3.2966712</td><td>280.6819839477539</td><td>5.1108465</td><td>565.7011718750006</td><td>4.862965</td><td>535.046569824219</td><td>6.1554484</td><td>572.4893798828125</td><td>4.8178754</td><td>427.43753967285147</td><td>8.013827</td><td>502.00401611328124</td><td>6.3801355</td><td>367.36008605957045</td><td>12.952429</td><td>857.0261047363313</td><td>0.46263823</td><td>6.169202089309692</td><td>0.98753554</td><td>14.446976852416993</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>1.9294524192810059</td><td>28.43710155487061</td><td>2.602437734603882</td><td>18.900683403015137</td><td>1.7355504155158996</td><td>15.964161586761474</td><td>3.796893763542175</td><td>58.08679122924804</td><td>2.36790292603629</td><td>26.66351928710938</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(\"$('#table140386442495032-4964').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",
       "    $('#table140386442495032-4964').dataTable({\n",
       "        order: [],\n",
       "        pageLength: 50,\n",
       "        lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']],\n",
       "        pagingType: \"full_numbers\",\n",
       "        columnDefs: [{targets: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 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": [
       "{'decam_g',\n",
       " 'decam_r',\n",
       " 'decam_z',\n",
       " 'gpc1_g',\n",
       " 'gpc1_i',\n",
       " 'gpc1_r',\n",
       " 'gpc1_y',\n",
       " 'gpc1_z',\n",
       " 'megacam_g',\n",
       " 'megacam_i',\n",
       " 'megacam_r',\n",
       " 'megacam_u',\n",
       " 'megacam_z',\n",
       " 'omegacam_g',\n",
       " 'omegacam_i',\n",
       " 'omegacam_r',\n",
       " 'omegacam_u',\n",
       " 'suprime_g',\n",
       " 'suprime_i',\n",
       " 'suprime_r',\n",
       " 'suprime_y',\n",
       " 'suprime_z',\n",
       " 'ukidss_h',\n",
       " 'ukidss_j',\n",
       " 'ukidss_k',\n",
       " 'ukidss_y',\n",
       " 'vista_h',\n",
       " 'vista_j',\n",
       " 'vista_ks',\n",
       " 'vista_y',\n",
       " 'vista_z'}"
      ]
     },
     "execution_count": 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 GAMA-09')"
      ]
     },
     "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": [
      "megacam_u: mean flux error: 0.07150787115097046, 3sigma in AB mag (Aperture): 25.571312240890883\n",
      "megacam_g: mean flux error: 0.045730601996183395, 3sigma in AB mag (Aperture): 26.05667956705836\n",
      "megacam_r: mean flux error: 0.0842747762799263, 3sigma in AB mag (Aperture): 25.392952842464616\n",
      "megacam_i: mean flux error: 0.12086670100688934, 3sigma in AB mag (Aperture): 25.001430192125675\n",
      "megacam_z: mean flux error: 0.27000483870506287, 3sigma in AB mag (Aperture): 24.12876799535821\n",
      "decam_g: mean flux error: 2.744216374139796e-07, 3sigma in AB mag (Aperture): 39.111150984835824\n",
      "decam_r: mean flux error: 4.1227301039725717e-07, 3sigma in AB mag (Aperture): 38.669234601986936\n",
      "decam_z: mean flux error: 9.138184964285756e-07, 3sigma in AB mag (Aperture): 37.805047002496586\n",
      "suprime_g: mean flux error: 0.020845327526330948, 3sigma in AB mag (Aperture): 26.909675055087057\n",
      "suprime_r: mean flux error: 0.03370736539363861, 3sigma in AB mag (Aperture): 26.387884840969853\n",
      "suprime_i: mean flux error: 0.04270967096090317, 3sigma in AB mag (Aperture): 26.13088129920967\n",
      "suprime_z: mean flux error: 0.06875191628932953, 3sigma in AB mag (Aperture): 25.61398484431661\n",
      "suprime_y: mean flux error: 0.1404762715101242, 3sigma in AB mag (Aperture): 24.8381894337816\n",
      "omegacam_u: mean flux error: 0.3014092743396759, 3sigma in AB mag (Aperture): 24.009305334722647\n",
      "omegacam_g: mean flux error: 0.10279956459999084, 3sigma in AB mag (Aperture): 25.17721867509895\n",
      "omegacam_r: mean flux error: 0.1033104807138443, 3sigma in AB mag (Aperture): 25.171835907289058\n",
      "omegacam_i: mean flux error: 0.36547213792800903, 3sigma in AB mag (Aperture): 23.800061178812577\n",
      "gpc1_g: mean flux error: 19.483174845946905, 3sigma in AB mag (Aperture): 19.48304754322421\n",
      "gpc1_r: mean flux error: 7.047861912884513, 3sigma in AB mag (Aperture): 20.58705339705883\n",
      "gpc1_i: mean flux error: 29.392787513330184, 3sigma in AB mag (Aperture): 19.036594925558354\n",
      "gpc1_z: mean flux error: 47.3357628828993, 3sigma in AB mag (Aperture): 18.51922341124878\n",
      "gpc1_y: mean flux error: 26.317425436384323, 3sigma in AB mag (Aperture): 19.156588360331334\n",
      "ukidss_y: mean flux error: 3.873424768447876, 3sigma in AB mag (Aperture): 21.23695904993931\n",
      "ukidss_j: mean flux error: 4.748324871063232, 3sigma in AB mag (Aperture): 21.01584580101413\n",
      "ukidss_h: mean flux error: 5.464476108551025, 3sigma in AB mag (Aperture): 20.86332553443605\n",
      "ukidss_k: mean flux error: 6.157969951629639, 3sigma in AB mag (Aperture): 20.7336029497178\n",
      "vista_z: mean flux error: 0.6691363453865051, 3sigma in AB mag (Aperture): 23.14341031311701\n",
      "vista_y: mean flux error: 1.5995382752899239, 3sigma in AB mag (Aperture): 22.19721027129976\n",
      "vista_j: mean flux error: 2.161272030021322, 3sigma in AB mag (Aperture): 21.87042328044219\n",
      "vista_h: mean flux error: 3.233068679472094, 3sigma in AB mag (Aperture): 21.433159537336245\n",
      "vista_ks: mean flux error: 3.7030060468028787, 3sigma in AB mag (Aperture): 21.28581081012897\n",
      "megacam_u: mean flux error: 0.09553231371503994, 3sigma in AB mag (Total): 25.256821122869063\n",
      "megacam_g: mean flux error: 0.0681900727172328, 3sigma in AB mag (Total): 25.62289397927008\n",
      "megacam_r: mean flux error: 0.12690751296383557, 3sigma in AB mag (Total): 24.948478530143866\n",
      "megacam_i: mean flux error: 0.17291535040142442, 3sigma in AB mag (Total): 24.612612990503102\n",
      "megacam_z: mean flux error: 0.3755415066550659, 3sigma in AB mag (Total): 23.770552002426577\n",
      "decam_g: mean flux error: 3262127.5, 3sigma in AB mag (Total): 6.423444534695626\n",
      "decam_r: mean flux error: 18102.59375, 3sigma in AB mag (Total): 12.062844849976877\n",
      "decam_z: mean flux error: 21220.27734375, 3sigma in AB mag (Total): 11.890319223892497\n",
      "suprime_g: mean flux error: 0.03702125698328018, 3sigma in AB mag (Total): 26.28606896251555\n",
      "suprime_r: mean flux error: 0.058066315948963165, 3sigma in AB mag (Total): 25.797386181094573\n",
      "suprime_i: mean flux error: 0.07663461565971375, 3sigma in AB mag (Total): 25.496134404059994\n",
      "suprime_z: mean flux error: 0.12170034646987915, 3sigma in AB mag (Total): 24.9939673266285\n",
      "suprime_y: mean flux error: 0.2616100609302521, 3sigma in AB mag (Total): 24.163060758312703\n",
      "omegacam_u: mean flux error: 0.5340697765350342, 3sigma in AB mag (Total): 23.388201859279\n",
      "omegacam_g: mean flux error: 0.14700493216514587, 3sigma in AB mag (Total): 24.788867098164197\n",
      "omegacam_r: mean flux error: 0.14138275384902954, 3sigma in AB mag (Total): 24.831205771744514\n",
      "omegacam_i: mean flux error: 0.6019576191902161, 3sigma in AB mag (Total): 23.258282073593413\n",
      "gpc1_g: mean flux error: 17.807103978500365, 3sigma in AB mag (Total): 19.580713626646194\n",
      "gpc1_r: mean flux error: 7.3407055338609535, 3sigma in AB mag (Total): 20.542852355530123\n",
      "gpc1_i: mean flux error: 23.960207744071983, 3sigma in AB mag (Total): 19.258470415122922\n",
      "gpc1_z: mean flux error: 51.4384529157779, 3sigma in AB mag (Total): 18.428977117971307\n",
      "gpc1_y: mean flux error: 29.12357056749225, 3sigma in AB mag (Total): 19.046585316517785\n",
      "ukidss_y: mean flux error: 6.214057922363281, 3sigma in AB mag (Total): 20.723758620511795\n",
      "ukidss_j: mean flux error: 6.570488929748535, 3sigma in AB mag (Total): 20.663202643414316\n",
      "ukidss_h: mean flux error: 9.757233619689941, 3sigma in AB mag (Total): 20.23388010438294\n",
      "ukidss_k: mean flux error: 11.032600402832031, 3sigma in AB mag (Total): 20.100502142051305\n",
      "vista_z: mean flux error: 1.5829956531524658, 3sigma in AB mag (Total): 22.20849755743233\n",
      "vista_y: mean flux error: 3.5141017488422923, 3sigma in AB mag (Total): 21.34266103296556\n",
      "vista_j: mean flux error: 5.198858589176382, 3sigma in AB mag (Total): 20.91742685163056\n",
      "vista_h: mean flux error: 8.087967051481774, 3sigma in AB mag (Total): 20.437598429774148\n",
      "vista_ks: mean flux error: 9.59516103132087, 3sigma in AB mag (Total): 20.252066193941282\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_megacam_u (3500.0, 4100.0, 600.0)\n",
      "ap_megacam_g (4180.0, 5580.0, 1400.0)\n",
      "ap_megacam_r (5680.0, 6880.0, 1200.0)\n",
      "ap_megacam_i (6831.7305, 8388.556, 1556.8252)\n",
      "ap_megacam_z (8280.0, 9160.0, 880.0)\n",
      "ap_decam_g (4180.0, 5470.0, 1290.0)\n",
      "ap_decam_r (5680.0, 7150.0, 1470.0)\n",
      "ap_decam_z (8490.0, 9960.0, 1470.0)\n",
      "ap_suprime_g (4090.0, 5460.0, 1370.0)\n",
      "ap_suprime_r (5440.0, 6960.0, 1520.0)\n",
      "ap_suprime_i (6980.0, 8420.0, 1440.0)\n",
      "ap_suprime_z (8540.0, 9280.0, 740.0)\n",
      "ap_suprime_y (9360.0, 10120.0, 760.0)\n",
      "ap_omegacam_u (3296.7, 3807.9, 511.19995)\n",
      "ap_omegacam_g (4077.9, 5369.7, 1291.8003)\n",
      "ap_omegacam_r (5640.7, 6962.8, 1322.0996)\n",
      "ap_omegacam_i (6841.5, 8373.8, 1532.2998)\n",
      "ap_gpc1_g (4260.0, 5500.0, 1240.0)\n",
      "ap_gpc1_r (5500.0, 6900.0, 1400.0)\n",
      "ap_gpc1_i (6910.0, 8190.0, 1280.0)\n",
      "ap_gpc1_z (8190.0, 9210.0, 1020.0)\n",
      "ap_gpc1_y (9200.0, 9820.0, 620.0)\n",
      "ap_ukidss_y (9790.0, 10820.0, 1030.0)\n",
      "ap_ukidss_j (11695.0, 13280.0, 1585.0)\n",
      "ap_ukidss_h (14925.0, 17840.0, 2915.0)\n",
      "ap_ukidss_k (20290.0, 23820.0, 3530.0)\n",
      "ap_vista_z (8300.0, 9260.0, 960.0)\n",
      "ap_vista_y (9740.0, 10660.0, 920.0)\n",
      "ap_vista_j (11670.0, 13380.0, 1710.0)\n",
      "ap_vista_h (15000.0, 17900.0, 2900.0)\n",
      "ap_vista_ks (19930.0, 23010.0, 3080.0)\n",
      "megacam_u (3500.0, 4100.0, 600.0)\n",
      "megacam_g (4180.0, 5580.0, 1400.0)\n",
      "megacam_r (5680.0, 6880.0, 1200.0)\n",
      "megacam_i (6831.7305, 8388.556, 1556.8252)\n",
      "megacam_z (8280.0, 9160.0, 880.0)\n",
      "decam_g (4180.0, 5470.0, 1290.0)\n",
      "decam_r (5680.0, 7150.0, 1470.0)\n",
      "decam_z (8490.0, 9960.0, 1470.0)\n",
      "suprime_g (4090.0, 5460.0, 1370.0)\n",
      "suprime_r (5440.0, 6960.0, 1520.0)\n",
      "suprime_i (6980.0, 8420.0, 1440.0)\n",
      "suprime_z (8540.0, 9280.0, 740.0)\n",
      "suprime_y (9360.0, 10120.0, 760.0)\n",
      "omegacam_u (3296.7, 3807.9, 511.19995)\n",
      "omegacam_g (4077.9, 5369.7, 1291.8003)\n",
      "omegacam_r (5640.7, 6962.8, 1322.0996)\n",
      "omegacam_i (6841.5, 8373.8, 1532.2998)\n",
      "gpc1_g (4260.0, 5500.0, 1240.0)\n",
      "gpc1_r (5500.0, 6900.0, 1400.0)\n",
      "gpc1_i (6910.0, 8190.0, 1280.0)\n",
      "gpc1_z (8190.0, 9210.0, 1020.0)\n",
      "gpc1_y (9200.0, 9820.0, 620.0)\n",
      "ukidss_y (9790.0, 10820.0, 1030.0)\n",
      "ukidss_j (11695.0, 13280.0, 1585.0)\n",
      "ukidss_h (14925.0, 17840.0, 2915.0)\n",
      "ukidss_k (20290.0, 23820.0, 3530.0)\n",
      "vista_z (8300.0, 9260.0, 960.0)\n",
      "vista_y (9740.0, 10660.0, 920.0)\n",
      "vista_j (11670.0, 13380.0, 1710.0)\n",
      "vista_h (15000.0, 17900.0, 2900.0)\n",
      "vista_ks (19930.0, 23010.0, 3080.0)\n"
     ]
    }
   ],
   "source": [
    "wav_range = []\n",
    "for dat in data:\n",
    "    print(dat[0], FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission'])))\n",
    "    wav_range += [[dat[0], FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Depths on GAMA-09')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for dat in data:\n",
    "    wav_deets = FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))\n",
    "    depth = average_depths['5s'][average_depths['band'] == dat[0]]\n",
    "    #print(depth)\n",
    "    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 GAMA-09')"
      ]
     },
     "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
}