{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COSMOS master catalogue\n",
    "## Convert COSMOS2020 to help format for HELP DR2 alpha\n",
    "\n",
    "This catalogue comes from `dmu1_COSMOS2020`. We here process the COSMOS2020 catalogue to the HELP format so that it can be merged in with the full area HELP cosmos data sets.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was run with herschelhelp_internal version: \n",
      "1407877 (Mon Feb 4 12:56:29 2019 +0000)\n",
      "This notebook was executed on: \n",
      "2021-01-20 18:15:14.859551\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": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/_collections_abc.py:841: MatplotlibDeprecationWarning: \n",
      "The examples.directory rcparam was deprecated in Matplotlib 3.0 and will be removed in 3.2. In the future, examples will be found relative to the 'datapath' directory.\n",
      "  self[key] = other[key]\n",
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/_collections_abc.py:841: MatplotlibDeprecationWarning: \n",
      "The savefig.frameon rcparam was deprecated in Matplotlib 3.1 and will be removed in 3.3.\n",
      "  self[key] = other[key]\n",
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/_collections_abc.py:841: MatplotlibDeprecationWarning: \n",
      "The text.latex.unicode rcparam was deprecated in Matplotlib 3.0 and will be removed in 3.2.\n",
      "  self[key] = other[key]\n",
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/_collections_abc.py:841: MatplotlibDeprecationWarning: \n",
      "The verbose.fileo rcparam was deprecated in Matplotlib 3.1 and will be removed in 3.3.\n",
      "  self[key] = other[key]\n",
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/_collections_abc.py:841: MatplotlibDeprecationWarning: \n",
      "The verbose.level rcparam was deprecated in Matplotlib 3.1 and will be removed in 3.3.\n",
      "  self[key] = other[key]\n",
      "/Users/rs548/miniconda3/envs/herschelhelp_internal/lib/python3.6/site-packages/seaborn/apionly.py:9: UserWarning: As seaborn no longer sets a default style on import, the seaborn.apionly module is deprecated. It will be removed in a future version.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    }
   ],
   "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",
    "from collections import OrderedDict\n",
    "import os\n",
    "\n",
    "from astropy import units as u\n",
    "from astropy.coordinates import SkyCoord\n",
    "from astropy.table import Column, Table\n",
    "import numpy as np\n",
    "\n",
    "from herschelhelp_internal.flagging import  gaia_flag_column\n",
    "from herschelhelp_internal.masterlist import nb_astcor_diag_plot, remove_duplicates\n",
    "from herschelhelp_internal.utils import astrometric_correction, mag_to_flux, flux_to_mag"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "OUT_DIR =  os.environ.get('TMP_DIR', \"./data_tmp\")\n",
    "OUT_DIR = '/Volumes/Raph500/COSMOS2020'\n",
    "OUT_DIR = '/home/rshirley/COSMOS2020'\n",
    "try:\n",
    "    os.makedirs(OUT_DIR)\n",
    "except FileExistsError:\n",
    "    pass\n",
    "\n",
    "RA_COL = \"cosmos_ra\"\n",
    "DEC_COL = \"cosmos_dec\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## I - Column selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "bands = OrderedDict({\n",
    "    'UVISTA_Ks': 'vista_ks',\n",
    "    'UVISTA_Y': 'vista_y',\n",
    "    'UVISTA_H': 'vista_h',\n",
    "    'UVISTA_J': 'vista_j',\n",
    "\n",
    "    #CFHT Megacam\n",
    "    'CFHT_u': 'megacam_u',\n",
    "    #SUBARU Suprime\n",
    "    'SC_B': 'suprime_b',\n",
    "    'SC_V': 'suprime_v',\n",
    "    'SC_ip': 'suprime_ip',\n",
    "    'SC_rp': 'suprime_rc',\n",
    "    'SC_zp': 'suprime_zp',\n",
    "    'SC_zpp': 'suprime_zpp',\n",
    "    'SC_IA484': 'suprime_ia484',\n",
    "    'SC_IA527': 'suprime_ia527',\n",
    "    'SC_IA624': 'suprime_ia624',\n",
    "    'SC_IA679': 'suprime_ia679',\n",
    "    'SC_IA738': 'suprime_ia738',\n",
    "    'SC_IA767': 'suprime_ia767',\n",
    "    'SC_IB427': 'suprime_ib427',\n",
    "    'SC_IB464': 'suprime_ib464',\n",
    "    'SC_IB505': 'suprime_ib505',\n",
    "    'SC_IB574': 'suprime_ib574',\n",
    "    'SC_IB709': 'suprime_ib709',\n",
    "    'SC_IB827': 'suprime_ib827',\n",
    "    'SC_NB711': 'suprime_nb711',\n",
    "    'SC_NB816': 'suprime_nb816',\n",
    "    #CFHT WIRCAM\n",
    "    #'hw': 'wircam_h',\n",
    "    #'ksw': 'wircam_ks',\n",
    "    #SUBARU HSC\n",
    "    'HSC_g': 'suprime_g',\n",
    "    'HSC_r': 'suprime_r',\n",
    "    'HSC_i': 'suprime_i',\n",
    "    'HSC_z': 'suprime_z',\n",
    "    'HSC_y': 'suprime_y',\n",
    "    #Spitzer IRAC\n",
    "    'IRAC_CH1': 'irac_i1', #'irac_i1'???\n",
    "    'IRAC_CH2': 'irac_i2', # #irac_i2\n",
    "    'SPLASH_CH3': 'irac_i3', # #irac_i1\n",
    "    'SPLASH_CH4': 'irac_i4', # #irac_i4\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "imported_columns = OrderedDict({\n",
    "    #'help_id': 'help_id', #COSMOS 2020 hasn't had help ids added\n",
    "    'ID': 'cosmos_id',\n",
    "    'ALPHA_J2000': 'cosmos_ra',\n",
    "    'DELTA_J2000': 'cosmos_dec',\n",
    "    #'class': 'cosmos_stellarity', #No stellarity in COSMOS 2020?\n",
    "})\n",
    "\n",
    "for band in bands:\n",
    "    if 'irac' not in bands[band]:\n",
    "        imported_columns.update({band + '_MAG_AUTO': 'm_cosmos-' + bands[band]})\n",
    "        imported_columns.update({band + '_MAGERR_AUTO': 'merr_cosmos-' + bands[band]})\n",
    "        imported_columns.update({band + '_FLUX_APER2': 'f_ap_cosmos-' + bands[band]})\n",
    "        imported_columns.update({band + '_FLUXERR_APER2': 'ferr_ap_cosmos-' + bands[band]})\n",
    "    elif 'irac' in bands[band]:\n",
    "        imported_columns.update({band + '_FLUX': 'f_cosmos-' + bands[band]})\n",
    "        imported_columns.update({band + '_FLUXERR': 'ferr_cosmos-' + bands[band]})\n",
    "        imported_columns.update({band + '_MAG': 'm_cosmos-' + bands[band]})\n",
    "        imported_columns.update({band + '_MAGERR': 'merr_cosmos-' + bands[band]})        \n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "catalogue = Table.read(\n",
    "    OUT_DIR+\"/cosmos2020.calet.org/PHOTOMETRY\"\n",
    "    +\"/COSMOS2020_CLASSIC_v1.8_formatted.fits\")[list(imported_columns)]\n",
    "for column in imported_columns:\n",
    "    catalogue[column].name = imported_columns[column]\n",
    "\n",
    "epoch = 2015 #Various epochs\n",
    "\n",
    "# Clean table metadata\n",
    "catalogue.meta = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/rs548/GitHub/herschelhelp_internal/herschelhelp_internal/utils.py:77: RuntimeWarning: invalid value encountered in log10\n",
      "  magnitudes = 2.5 * (23 - np.log10(fluxes)) - 48.6\n"
     ]
    }
   ],
   "source": [
    "# Adding flux and band-flag columns\n",
    "for col in catalogue.colnames:\n",
    "    #print(col)\n",
    "    if 'irac' in col:\n",
    "        if col.startswith('f_'):\n",
    "            catalogue.add_column(Column(np.zeros(len(catalogue), dtype=bool), name=\"flag{}\".format(col[1:])))\n",
    "            mask = ( (catalogue[col] < -90.)\n",
    "                   | (catalogue[col.replace('f_', 'ferr_')] < -90.)\n",
    "                   )\n",
    "            catalogue[col][mask] = np.nan\n",
    "            catalogue[col.replace('f_', 'ferr_')][mask] = np.nan\n",
    "        if col.startswith('m_'):\n",
    "           \n",
    "            mask = ( (catalogue[col] < -90.)\n",
    "                   | (catalogue[col.replace('m_', 'merr_')] < -90.)\n",
    "                   )\n",
    "            catalogue[col][mask] = np.nan\n",
    "            catalogue[col.replace('m_', 'merr_')][mask] = np.nan\n",
    "        continue\n",
    "    if col.startswith('m_'):\n",
    "        \n",
    "        errcol = \"merr{}\".format(col[1:])\n",
    "        \n",
    "        \n",
    "        mask = (catalogue[col] > 90.) | (catalogue[col] < 0.)\n",
    "        catalogue[col][mask] = np.nan\n",
    "        catalogue[errcol][mask]  = np.nan     \n",
    "        \n",
    "        flux, error = mag_to_flux(np.array(catalogue[col]), np.array(catalogue[errcol]))\n",
    "        \n",
    "        # Fluxes are added in µJy\n",
    "        catalogue.add_column(Column(flux * 1.e6, name=\"f{}\".format(col[1:])))\n",
    "        catalogue.add_column(Column(error * 1.e6, name=\"f{}\".format(errcol[1:])))\n",
    "        \n",
    "        # Band-flag column\n",
    "        if \"ap\" not in col:\n",
    "            catalogue.add_column(Column(np.zeros(len(catalogue), dtype=bool), name=\"flag{}\".format(col[1:])))\n",
    "    if col.startswith('f_'):\n",
    "        errcol = \"ferr{}\".format(col[1:])\n",
    "        \n",
    "        mask = (np.isclose(catalogue[col] , -99.9) )\n",
    "        catalogue[col][mask] = np.nan\n",
    "        catalogue[errcol][mask] = np.nan \n",
    "        \n",
    "        mag, error = flux_to_mag(np.array(catalogue[col])* 1.e-6, np.array(catalogue[errcol])* 1.e-6)\n",
    "        # Mags added\n",
    "        catalogue.add_column(Column(mag , name=\"m{}\".format(col[1:])))\n",
    "        catalogue.add_column(Column(error , name=\"m{}\".format(errcol[1:])))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=10</i>\n",
       "<table id=\"table4894541304-180145\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>idx</th><th>cosmos_id</th><th>cosmos_ra</th><th>cosmos_dec</th><th>m_cosmos-vista_ks</th><th>merr_cosmos-vista_ks</th><th>f_ap_cosmos-vista_ks</th><th>ferr_ap_cosmos-vista_ks</th><th>m_cosmos-vista_y</th><th>merr_cosmos-vista_y</th><th>f_ap_cosmos-vista_y</th><th>ferr_ap_cosmos-vista_y</th><th>m_cosmos-vista_h</th><th>merr_cosmos-vista_h</th><th>f_ap_cosmos-vista_h</th><th>ferr_ap_cosmos-vista_h</th><th>m_cosmos-vista_j</th><th>merr_cosmos-vista_j</th><th>f_ap_cosmos-vista_j</th><th>ferr_ap_cosmos-vista_j</th><th>m_cosmos-megacam_u</th><th>merr_cosmos-megacam_u</th><th>f_ap_cosmos-megacam_u</th><th>ferr_ap_cosmos-megacam_u</th><th>m_cosmos-suprime_b</th><th>merr_cosmos-suprime_b</th><th>f_ap_cosmos-suprime_b</th><th>ferr_ap_cosmos-suprime_b</th><th>m_cosmos-suprime_v</th><th>merr_cosmos-suprime_v</th><th>f_ap_cosmos-suprime_v</th><th>ferr_ap_cosmos-suprime_v</th><th>m_cosmos-suprime_ip</th><th>merr_cosmos-suprime_ip</th><th>f_ap_cosmos-suprime_ip</th><th>ferr_ap_cosmos-suprime_ip</th><th>m_cosmos-suprime_rc</th><th>merr_cosmos-suprime_rc</th><th>f_ap_cosmos-suprime_rc</th><th>ferr_ap_cosmos-suprime_rc</th><th>m_cosmos-suprime_zp</th><th>merr_cosmos-suprime_zp</th><th>f_ap_cosmos-suprime_zp</th><th>ferr_ap_cosmos-suprime_zp</th><th>m_cosmos-suprime_zpp</th><th>merr_cosmos-suprime_zpp</th><th>f_ap_cosmos-suprime_zpp</th><th>ferr_ap_cosmos-suprime_zpp</th><th>m_cosmos-suprime_ia484</th><th>merr_cosmos-suprime_ia484</th><th>f_ap_cosmos-suprime_ia484</th><th>ferr_ap_cosmos-suprime_ia484</th><th>m_cosmos-suprime_ia527</th><th>merr_cosmos-suprime_ia527</th><th>f_ap_cosmos-suprime_ia527</th><th>ferr_ap_cosmos-suprime_ia527</th><th>m_cosmos-suprime_ia624</th><th>merr_cosmos-suprime_ia624</th><th>f_ap_cosmos-suprime_ia624</th><th>ferr_ap_cosmos-suprime_ia624</th><th>m_cosmos-suprime_ia679</th><th>merr_cosmos-suprime_ia679</th><th>f_ap_cosmos-suprime_ia679</th><th>ferr_ap_cosmos-suprime_ia679</th><th>m_cosmos-suprime_ia738</th><th>merr_cosmos-suprime_ia738</th><th>f_ap_cosmos-suprime_ia738</th><th>ferr_ap_cosmos-suprime_ia738</th><th>m_cosmos-suprime_ia767</th><th>merr_cosmos-suprime_ia767</th><th>f_ap_cosmos-suprime_ia767</th><th>ferr_ap_cosmos-suprime_ia767</th><th>m_cosmos-suprime_ib427</th><th>merr_cosmos-suprime_ib427</th><th>f_ap_cosmos-suprime_ib427</th><th>ferr_ap_cosmos-suprime_ib427</th><th>m_cosmos-suprime_ib464</th><th>merr_cosmos-suprime_ib464</th><th>f_ap_cosmos-suprime_ib464</th><th>ferr_ap_cosmos-suprime_ib464</th><th>m_cosmos-suprime_ib505</th><th>merr_cosmos-suprime_ib505</th><th>f_ap_cosmos-suprime_ib505</th><th>ferr_ap_cosmos-suprime_ib505</th><th>m_cosmos-suprime_ib574</th><th>merr_cosmos-suprime_ib574</th><th>f_ap_cosmos-suprime_ib574</th><th>ferr_ap_cosmos-suprime_ib574</th><th>m_cosmos-suprime_ib709</th><th>merr_cosmos-suprime_ib709</th><th>f_ap_cosmos-suprime_ib709</th><th>ferr_ap_cosmos-suprime_ib709</th><th>m_cosmos-suprime_ib827</th><th>merr_cosmos-suprime_ib827</th><th>f_ap_cosmos-suprime_ib827</th><th>ferr_ap_cosmos-suprime_ib827</th><th>m_cosmos-suprime_nb711</th><th>merr_cosmos-suprime_nb711</th><th>f_ap_cosmos-suprime_nb711</th><th>ferr_ap_cosmos-suprime_nb711</th><th>m_cosmos-suprime_nb816</th><th>merr_cosmos-suprime_nb816</th><th>f_ap_cosmos-suprime_nb816</th><th>ferr_ap_cosmos-suprime_nb816</th><th>m_cosmos-suprime_g</th><th>merr_cosmos-suprime_g</th><th>f_ap_cosmos-suprime_g</th><th>ferr_ap_cosmos-suprime_g</th><th>m_cosmos-suprime_r</th><th>merr_cosmos-suprime_r</th><th>f_ap_cosmos-suprime_r</th><th>ferr_ap_cosmos-suprime_r</th><th>m_cosmos-suprime_i</th><th>merr_cosmos-suprime_i</th><th>f_ap_cosmos-suprime_i</th><th>ferr_ap_cosmos-suprime_i</th><th>m_cosmos-suprime_z</th><th>merr_cosmos-suprime_z</th><th>f_ap_cosmos-suprime_z</th><th>ferr_ap_cosmos-suprime_z</th><th>m_cosmos-suprime_y</th><th>merr_cosmos-suprime_y</th><th>f_ap_cosmos-suprime_y</th><th>ferr_ap_cosmos-suprime_y</th><th>f_cosmos-irac_i1</th><th>ferr_cosmos-irac_i1</th><th>m_cosmos-irac_i1</th><th>merr_cosmos-irac_i1</th><th>f_cosmos-irac_i2</th><th>ferr_cosmos-irac_i2</th><th>m_cosmos-irac_i2</th><th>merr_cosmos-irac_i2</th><th>f_cosmos-irac_i3</th><th>ferr_cosmos-irac_i3</th><th>m_cosmos-irac_i3</th><th>merr_cosmos-irac_i3</th><th>f_cosmos-irac_i4</th><th>ferr_cosmos-irac_i4</th><th>m_cosmos-irac_i4</th><th>merr_cosmos-irac_i4</th><th>f_cosmos-vista_ks</th><th>ferr_cosmos-vista_ks</th><th>flag_cosmos-vista_ks</th><th>m_ap_cosmos-vista_ks</th><th>merr_ap_cosmos-vista_ks</th><th>f_cosmos-vista_y</th><th>ferr_cosmos-vista_y</th><th>flag_cosmos-vista_y</th><th>m_ap_cosmos-vista_y</th><th>merr_ap_cosmos-vista_y</th><th>f_cosmos-vista_h</th><th>ferr_cosmos-vista_h</th><th>flag_cosmos-vista_h</th><th>m_ap_cosmos-vista_h</th><th>merr_ap_cosmos-vista_h</th><th>f_cosmos-vista_j</th><th>ferr_cosmos-vista_j</th><th>flag_cosmos-vista_j</th><th>m_ap_cosmos-vista_j</th><th>merr_ap_cosmos-vista_j</th><th>f_cosmos-megacam_u</th><th>ferr_cosmos-megacam_u</th><th>flag_cosmos-megacam_u</th><th>m_ap_cosmos-megacam_u</th><th>merr_ap_cosmos-megacam_u</th><th>f_cosmos-suprime_b</th><th>ferr_cosmos-suprime_b</th><th>flag_cosmos-suprime_b</th><th>m_ap_cosmos-suprime_b</th><th>merr_ap_cosmos-suprime_b</th><th>f_cosmos-suprime_v</th><th>ferr_cosmos-suprime_v</th><th>flag_cosmos-suprime_v</th><th>m_ap_cosmos-suprime_v</th><th>merr_ap_cosmos-suprime_v</th><th>f_cosmos-suprime_ip</th><th>ferr_cosmos-suprime_ip</th><th>flag_cosmos-suprime_ip</th><th>m_ap_cosmos-suprime_ip</th><th>merr_ap_cosmos-suprime_ip</th><th>f_cosmos-suprime_rc</th><th>ferr_cosmos-suprime_rc</th><th>flag_cosmos-suprime_rc</th><th>m_ap_cosmos-suprime_rc</th><th>merr_ap_cosmos-suprime_rc</th><th>f_cosmos-suprime_zp</th><th>ferr_cosmos-suprime_zp</th><th>flag_cosmos-suprime_zp</th><th>m_ap_cosmos-suprime_zp</th><th>merr_ap_cosmos-suprime_zp</th><th>f_cosmos-suprime_zpp</th><th>ferr_cosmos-suprime_zpp</th><th>flag_cosmos-suprime_zpp</th><th>m_ap_cosmos-suprime_zpp</th><th>merr_ap_cosmos-suprime_zpp</th><th>f_cosmos-suprime_ia484</th><th>ferr_cosmos-suprime_ia484</th><th>flag_cosmos-suprime_ia484</th><th>m_ap_cosmos-suprime_ia484</th><th>merr_ap_cosmos-suprime_ia484</th><th>f_cosmos-suprime_ia527</th><th>ferr_cosmos-suprime_ia527</th><th>flag_cosmos-suprime_ia527</th><th>m_ap_cosmos-suprime_ia527</th><th>merr_ap_cosmos-suprime_ia527</th><th>f_cosmos-suprime_ia624</th><th>ferr_cosmos-suprime_ia624</th><th>flag_cosmos-suprime_ia624</th><th>m_ap_cosmos-suprime_ia624</th><th>merr_ap_cosmos-suprime_ia624</th><th>f_cosmos-suprime_ia679</th><th>ferr_cosmos-suprime_ia679</th><th>flag_cosmos-suprime_ia679</th><th>m_ap_cosmos-suprime_ia679</th><th>merr_ap_cosmos-suprime_ia679</th><th>f_cosmos-suprime_ia738</th><th>ferr_cosmos-suprime_ia738</th><th>flag_cosmos-suprime_ia738</th><th>m_ap_cosmos-suprime_ia738</th><th>merr_ap_cosmos-suprime_ia738</th><th>f_cosmos-suprime_ia767</th><th>ferr_cosmos-suprime_ia767</th><th>flag_cosmos-suprime_ia767</th><th>m_ap_cosmos-suprime_ia767</th><th>merr_ap_cosmos-suprime_ia767</th><th>f_cosmos-suprime_ib427</th><th>ferr_cosmos-suprime_ib427</th><th>flag_cosmos-suprime_ib427</th><th>m_ap_cosmos-suprime_ib427</th><th>merr_ap_cosmos-suprime_ib427</th><th>f_cosmos-suprime_ib464</th><th>ferr_cosmos-suprime_ib464</th><th>flag_cosmos-suprime_ib464</th><th>m_ap_cosmos-suprime_ib464</th><th>merr_ap_cosmos-suprime_ib464</th><th>f_cosmos-suprime_ib505</th><th>ferr_cosmos-suprime_ib505</th><th>flag_cosmos-suprime_ib505</th><th>m_ap_cosmos-suprime_ib505</th><th>merr_ap_cosmos-suprime_ib505</th><th>f_cosmos-suprime_ib574</th><th>ferr_cosmos-suprime_ib574</th><th>flag_cosmos-suprime_ib574</th><th>m_ap_cosmos-suprime_ib574</th><th>merr_ap_cosmos-suprime_ib574</th><th>f_cosmos-suprime_ib709</th><th>ferr_cosmos-suprime_ib709</th><th>flag_cosmos-suprime_ib709</th><th>m_ap_cosmos-suprime_ib709</th><th>merr_ap_cosmos-suprime_ib709</th><th>f_cosmos-suprime_ib827</th><th>ferr_cosmos-suprime_ib827</th><th>flag_cosmos-suprime_ib827</th><th>m_ap_cosmos-suprime_ib827</th><th>merr_ap_cosmos-suprime_ib827</th><th>f_cosmos-suprime_nb711</th><th>ferr_cosmos-suprime_nb711</th><th>flag_cosmos-suprime_nb711</th><th>m_ap_cosmos-suprime_nb711</th><th>merr_ap_cosmos-suprime_nb711</th><th>f_cosmos-suprime_nb816</th><th>ferr_cosmos-suprime_nb816</th><th>flag_cosmos-suprime_nb816</th><th>m_ap_cosmos-suprime_nb816</th><th>merr_ap_cosmos-suprime_nb816</th><th>f_cosmos-suprime_g</th><th>ferr_cosmos-suprime_g</th><th>flag_cosmos-suprime_g</th><th>m_ap_cosmos-suprime_g</th><th>merr_ap_cosmos-suprime_g</th><th>f_cosmos-suprime_r</th><th>ferr_cosmos-suprime_r</th><th>flag_cosmos-suprime_r</th><th>m_ap_cosmos-suprime_r</th><th>merr_ap_cosmos-suprime_r</th><th>f_cosmos-suprime_i</th><th>ferr_cosmos-suprime_i</th><th>flag_cosmos-suprime_i</th><th>m_ap_cosmos-suprime_i</th><th>merr_ap_cosmos-suprime_i</th><th>f_cosmos-suprime_z</th><th>ferr_cosmos-suprime_z</th><th>flag_cosmos-suprime_z</th><th>m_ap_cosmos-suprime_z</th><th>merr_ap_cosmos-suprime_z</th><th>f_cosmos-suprime_y</th><th>ferr_cosmos-suprime_y</th><th>flag_cosmos-suprime_y</th><th>m_ap_cosmos-suprime_y</th><th>merr_ap_cosmos-suprime_y</th><th>flag_cosmos-irac_i1</th><th>flag_cosmos-irac_i2</th><th>flag_cosmos-irac_i3</th><th>flag_cosmos-irac_i4</th></tr></thead>\n",
       "<thead><tr><th></th><th></th><th>deg</th><th>deg</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><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>566984</td><td>149.94611340879143</td><td>1.9663985061395135</td><td>25.748667</td><td>0.201208</td><td>0.18362483</td><td>0.08120827</td><td>25.821129</td><td>0.18535218</td><td>0.17054214</td><td>0.07831762</td><td>26.018553</td><td>0.3764327</td><td>0.14145088</td><td>0.1211755</td><td>25.467556</td><td>0.16071296</td><td>0.23469584</td><td>0.08950299</td><td>26.933628</td><td>0.098040745</td><td>0.06154648</td><td>0.009278663</td><td>26.864012</td><td>0.079122655</td><td>0.06560001</td><td>0.0070561734</td><td>26.598164</td><td>0.12464178</td><td>0.08439114</td><td>0.019822923</td><td>26.692366</td><td>0.1713446</td><td>0.076439604</td><td>0.018388098</td><td>26.401955</td><td>0.09347149</td><td>0.10089893</td><td>0.013598932</td><td>26.371101</td><td>0.39054847</td><td>0.10291007</td><td>0.05652851</td><td>26.456148</td><td>0.16590282</td><td>0.089470424</td><td>0.03334151</td><td>27.961018</td><td>0.9267308</td><td>0.022859916</td><td>0.031094266</td><td>26.49181</td><td>0.23025927</td><td>0.08584416</td><td>0.03403529</td><td>26.991352</td><td>0.45797554</td><td>0.05657386</td><td>0.035065427</td><td>nan</td><td>nan</td><td>-0.015930468</td><td>0.06705432</td><td>26.993578</td><td>0.5242313</td><td>0.059608217</td><td>0.041171577</td><td>26.720474</td><td>0.49298108</td><td>0.07290954</td><td>0.07024688</td><td>25.829414</td><td>0.14025044</td><td>0.16226457</td><td>0.044884317</td><td>26.489834</td><td>0.27347273</td><td>0.073628336</td><td>0.0718784</td><td>26.078484</td><td>0.2079821</td><td>0.13659187</td><td>0.041932747</td><td>27.127296</td><td>0.5514173</td><td>0.055361252</td><td>0.06191593</td><td>27.1201</td><td>0.5382472</td><td>0.052725248</td><td>0.055840112</td><td>26.242579</td><td>0.29721683</td><td>0.11721602</td><td>0.07762584</td><td>28.37109</td><td>4.189536</td><td>0.016435176</td><td>0.0769773</td><td>nan</td><td>nan</td><td>-0.022300659</td><td>0.055187326</td><td>26.65187</td><td>0.053300135</td><td>0.079398274</td><td>0.0055185715</td><td>26.58962</td><td>0.05917434</td><td>0.08443479</td><td>0.0062250025</td><td>26.471617</td><td>0.05642197</td><td>0.0936205</td><td>0.007137891</td><td>26.432724</td><td>0.09010442</td><td>0.09730181</td><td>0.011076521</td><td>26.897516</td><td>0.2533682</td><td>0.062534794</td><td>0.02122944</td><td>0.29675168</td><td>0.0043502245</td><td>25.219017</td><td>0.015920192</td><td>0.1852717</td><td>0.013794854</td><td>25.730476</td><td>0.080860764</td><td>0.0</td><td>1.8206493</td><td>nan</td><td>nan</td><td>0.0</td><td>2.2636101</td><td>nan</td><td>nan</td><td>0.18219368</td><td>0.033764027</td><td>False</td><td>25.740173</td><td>0.4801679</td><td>0.1704309</td><td>0.029095223</td><td>False</td><td>25.820427</td><td>0.49859977</td><td>0.142095</td><td>0.04926538</td><td>False</td><td>26.023483</td><td>0.93010813</td><td>0.23603547</td><td>0.034938466</td><td>False</td><td>25.473732</td><td>0.4140535</td><td>0.061171427</td><td>0.0055237105</td><td>False</td><td>26.926994</td><td>0.1636841</td><td>0.06522212</td><td>0.00475304</td><td>False</td><td>26.857742</td><td>0.116785705</td><td>0.083317146</td><td>0.009564752</td><td>False</td><td>26.584259</td><td>0.2550323</td><td>0.07639304</td><td>0.012055906</td><td>False</td><td>26.691704</td><td>0.26118168</td><td>0.0998201</td><td>0.008593555</td><td>False</td><td>26.390282</td><td>0.14633308</td><td>0.10269741</td><td>0.03694112</td><td>False</td><td>26.368858</td><td>0.59639496</td><td>0.09495995</td><td>0.014510084</td><td>False</td><td>26.520805</td><td>0.40460387</td><td>0.023746124</td><td>0.020268518</td><td>False</td><td>28.00232</td><td>1.4768282</td><td>0.091891624</td><td>0.019488065</td><td>False</td><td>26.565727</td><td>0.43047014</td><td>0.058004167</td><td>0.0244668</td><td>False</td><td>27.018456</td><td>0.6729574</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-4.5700665</td><td>0.057885323</td><td>0.027949052</td><td>False</td><td>26.961739</td><td>0.7499213</td><td>0.07444061</td><td>0.033799935</td><td>False</td><td>26.743034</td><td>1.046085</td><td>0.16913532</td><td>0.02184813</td><td>False</td><td>25.874443</td><td>0.30032757</td><td>0.09205905</td><td>0.02318762</td><td>False</td><td>26.732391</td><td>1.0599314</td><td>0.13446409</td><td>0.025757752</td><td>False</td><td>26.06144</td><td>0.3333134</td><td>0.051177748</td><td>0.02599185</td><td>False</td><td>27.041985</td><td>1.2142856</td><td>0.0515181</td><td>0.02553979</td><td>False</td><td>27.094955</td><td>1.1498785</td><td>0.11560278</td><td>0.031645894</td><td>False</td><td>26.227531</td><td>0.7190244</td><td>0.016276615</td><td>0.06280666</td><td>False</td><td>28.360565</td><td>5.0852537</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.6868656</td><td>0.07929604</td><td>0.0038927407</td><td>False</td><td>26.650475</td><td>0.07546401</td><td>0.08397527</td><td>0.004576785</td><td>False</td><td>26.583702</td><td>0.080046505</td><td>0.09361664</td><td>0.0048649344</td><td>False</td><td>26.471573</td><td>0.08277958</td><td>0.09703096</td><td>0.008052526</td><td>False</td><td>26.429695</td><td>0.12359667</td><td>0.06324023</td><td>0.014757786</td><td>False</td><td>26.909698</td><td>0.3685879</td><td>False</td><td>False</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>1</td><td>567025</td><td>149.87009041070306</td><td>1.9664085543345555</td><td>26.131628</td><td>0.24374871</td><td>0.12163557</td><td>0.06643777</td><td>28.683165</td><td>1.294382</td><td>0.019155178</td><td>0.039620057</td><td>26.255747</td><td>0.23905072</td><td>0.12063829</td><td>0.06290717</td><td>26.534067</td><td>0.22033541</td><td>0.078742966</td><td>0.04644269</td><td>28.04276</td><td>0.27182198</td><td>0.023663921</td><td>0.008917993</td><td>27.025196</td><td>0.11144129</td><td>0.055488665</td><td>0.008253599</td><td>26.716537</td><td>0.15479538</td><td>0.07194273</td><td>0.02124041</td><td>26.987228</td><td>0.24821115</td><td>0.05953777</td><td>0.01953885</td><td>26.704294</td><td>0.14090374</td><td>0.074648485</td><td>0.014940727</td><td>27.430496</td><td>1.1265334</td><td>0.038298614</td><td>0.059164923</td><td>26.560593</td><td>0.21519376</td><td>0.07552746</td><td>0.037828326</td><td>26.319494</td><td>0.22019993</td><td>0.112875454</td><td>0.03231586</td><td>26.718018</td><td>0.28928044</td><td>0.07854216</td><td>0.033438995</td><td>26.780691</td><td>0.40007314</td><td>0.06915618</td><td>0.035860173</td><td>nan</td><td>nan</td><td>-0.028822828</td><td>0.068244785</td><td>27.01274</td><td>0.6363239</td><td>0.047692798</td><td>0.04724174</td><td>26.743896</td><td>0.5178478</td><td>0.07472206</td><td>0.06954258</td><td>nan</td><td>nan</td><td>-0.007998513</td><td>0.04389572</td><td>26.38977</td><td>0.26069638</td><td>0.09911947</td><td>0.07235496</td><td>29.721022</td><td>6.888502</td><td>0.004129877</td><td>0.046683244</td><td>25.606514</td><td>0.14713085</td><td>0.19227374</td><td>0.064542726</td><td>27.081688</td><td>0.54586667</td><td>0.0644038</td><td>0.056498863</td><td>25.906378</td><td>0.22992988</td><td>0.08454546</td><td>0.07869085</td><td>26.28129</td><td>0.65444577</td><td>0.104862824</td><td>0.07937841</td><td>26.225029</td><td>0.22164096</td><td>0.09134365</td><td>0.05315029</td><td>26.74878</td><td>0.061069086</td><td>0.07058848</td><td>0.0056155976</td><td>26.618904</td><td>0.06331095</td><td>0.08027331</td><td>0.006289782</td><td>26.700583</td><td>0.071969874</td><td>0.074858576</td><td>0.007139306</td><td>26.83122</td><td>0.13642697</td><td>0.06281245</td><td>0.011193489</td><td>27.2831</td><td>0.3884726</td><td>0.044341616</td><td>0.021987358</td><td>0.043509364</td><td>0.0045696422</td><td>27.303543</td><td>0.114058934</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.12804082</td><td>0.028745275</td><td>False</td><td>26.187355</td><td>0.59303284</td><td>0.012210511</td><td>0.014557004</td><td>False</td><td>28.19429</td><td>2.2457075</td><td>0.114209205</td><td>0.02514588</td><td>False</td><td>26.19629</td><td>0.5661601</td><td>0.08838386</td><td>0.017936302</td><td>False</td><td>26.65947</td><td>0.6403684</td><td>0.022023965</td><td>0.00551386</td><td>False</td><td>27.964783</td><td>0.40917087</td><td>0.056223948</td><td>0.0057708947</td><td>False</td><td>27.03949</td><td>0.1614966</td><td>0.07471107</td><td>0.010651693</td><td>False</td><td>26.75753</td><td>0.3205533</td><td>0.05822488</td><td>0.013310842</td><td>False</td><td>26.96302</td><td>0.35631222</td><td>0.07555828</td><td>0.009805738</td><td>False</td><td>26.717453</td><td>0.21730766</td><td>0.038708065</td><td>0.040162545</td><td>False</td><td>27.44204</td><td>1.6772798</td><td>0.08625075</td><td>0.017094968</td><td>False</td><td>26.704735</td><td>0.54379666</td><td>0.10769667</td><td>0.021842135</td><td>False</td><td>26.268501</td><td>0.31084257</td><td>0.07460926</td><td>0.019878678</td><td>False</td><td>26.66224</td><td>0.4622476</td><td>0.07042445</td><td>0.025950072</td><td>False</td><td>26.800423</td><td>0.5629965</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.5707343</td><td>0.05687276</td><td>0.03333176</td><td>False</td><td>27.203865</td><td>1.0754677</td><td>0.07285193</td><td>0.034747124</td><td>False</td><td>26.716377</td><td>1.0104766</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-5.9585037</td><td>0.100946605</td><td>0.024238314</td><td>False</td><td>26.409607</td><td>0.7925627</td><td>0.004694516</td><td>0.029784566</td><td>False</td><td>29.86016</td><td>12.272929</td><td>0.20767981</td><td>0.028143212</td><td>False</td><td>25.6902</td><td>0.36446148</td><td>0.05337335</td><td>0.026834082</td><td>False</td><td>26.877724</td><td>0.9524727</td><td>0.157561</td><td>0.033367205</td><td>False</td><td>26.582275</td><td>1.010551</td><td>0.111553684</td><td>0.06724086</td><td>False</td><td>26.348442</td><td>0.82187384</td><td>0.11748658</td><td>0.023983575</td><td>False</td><td>26.498306</td><td>0.63175917</td><td>0.07252503</td><td>0.0040792944</td><td>False</td><td>26.778168</td><td>0.086374685</td><td>0.08174071</td><td>0.004766427</td><td>False</td><td>26.638573</td><td>0.085072406</td><td>0.07581706</td><td>0.005025663</td><td>False</td><td>26.714401</td><td>0.10354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       "<tr><td>3</td><td>567057</td><td>149.88412182971018</td><td>1.966423186747669</td><td>27.11741</td><td>1.2049756</td><td>0.047561523</td><td>0.082514636</td><td>25.872202</td><td>0.3328386</td><td>0.11551452</td><td>0.0801303</td><td>nan</td><td>nan</td><td>0.049473308</td><td>0.12344781</td><td>26.755312</td><td>0.8926388</td><td>0.03484614</td><td>0.09091551</td><td>27.342897</td><td>0.23375489</td><td>0.036321256</td><td>0.009066202</td><td>26.524548</td><td>0.13816199</td><td>0.049391072</td><td>0.010079176</td><td>27.854418</td><td>1.0061665</td><td>0.039037652</td><td>0.03087315</td><td>26.712564</td><td>0.34674284</td><td>0.04920727</td><td>0.022146553</td><td>27.12126</td><td>0.4668497</td><td>0.04422758</td><td>0.021558408</td><td>nan</td><td>nan</td><td>-0.14464073</td><td>0.07393554</td><td>29.083405</td><td>4.699431</td><td>-0.027239325</td><td>0.05078805</td><td>27.392187</td><td>0.8820936</td><td>0.030238546</td><td>0.029933125</td><td>26.63933</td><td>0.42896354</td><td>0.058708843</td><td>0.03319038</td><td>25.547483</td><td>0.2507328</td><td>0.046568308</td><td>0.045007206</td><td>nan</td><td>nan</td><td>-0.064016856</td><td>0.08638747</td><td>26.686295</td><td>0.9644672</td><td>0.09562468</td><td>0.061814927</td><td>nan</td><td>nan</td><td>0.10791097</td><td>0.10580401</td><td>nan</td><td>nan</td><td>-0.013105664</td><td>0.044781864</td><td>nan</td><td>nan</td><td>-0.058307506</td><td>0.073792584</td><td>nan</td><td>nan</td><td>0.017630955</td><td>0.047333773</td><td>28.262604</td><td>2.6764061</td><td>0.12605706</td><td>0.06321716</td><td>nan</td><td>nan</td><td>0.05968803</td><td>0.074330166</td><td>27.78052</td><td>2.977404</td><td>-0.09997675</td><td>0.11348962</td><td>27.723473</td><td>3.9093876</td><td>0.060246937</td><td>0.078115985</td><td>25.802444</td><td>0.33837605</td><td>0.020279424</td><td>0.07563746</td><td>26.714766</td><td>0.08368367</td><td>0.055334616</td><td>0.005330587</td><td>26.825888</td><td>0.109798774</td><td>0.061463643</td><td>0.006027106</td><td>27.157648</td><td>0.1670909</td><td>0.03864387</td><td>0.006914359</td><td>26.880714</td><td>0.22400698</td><td>0.06727253</td><td>0.011225088</td><td>26.448242</td><td>0.29209423</td><td>0.0807431</td><td>0.022342568</td><td>0.15318964</td><td>0.0036114934</td><td>25.936926</td><td>0.025602786</td><td>0.10022006</td><td>0.0041552014</td><td>26.397614</td><td>0.045026403</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.05164587</td><td>0.0573178</td><td>False</td><td>27.206863</td><td>1.8836473</td><td>0.16259949</td><td>0.0498458</td><td>False</td><td>26.243408</td><td>0.75315523</td><td>nan</td><td>nan</td><td>False</td><td>27.164078</td><td>2.7091734</td><td>0.07208998</td><td>0.059268825</td><td>False</td><td>27.544617</td><td>2.8327458</td><td>0.041960523</td><td>0.009033942</td><td>False</td><td>27.499596</td><td>0.2710122</td><td>0.08916225</td><td>0.011346065</td><td>False</td><td>27.165878</td><td>0.22156484</td><td>0.026195876</td><td>0.024276074</td><td>False</td><td>27.421288</td><td>0.85866064</td><td>0.074984975</td><td>0.023947349</td><td>False</td><td>27.16993</td><td>0.4886537</td><td>0.051463094</td><td>0.02212833</td><td>False</td><td>27.285767</td><td>0.5292341</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.5549923</td><td>0.008445739</td><td>0.036555994</td><td>False</td><td>nan</td><td>-2.0243683</td><td>0.04009822</td><td>0.03257733</td><td>False</td><td>27.6986</td><td>1.0747699</td><td>0.08021726</td><td>0.031693038</td><td>False</td><td>26.978241</td><td>0.6138087</td><td>0.21928367</td><td>0.050639935</td><td>False</td><td>27.229774</td><td>1.0493392</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.4651453</td><td>0.07682133</td><td>0.06824093</td><td>False</td><td>26.448578</td><td>0.7018554</td><td>nan</td><td>nan</td><td>False</td><td>26.317337</td><td>1.0645372</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-3.7099447</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.3740817</td><td>nan</td><td>nan</td><td>False</td><td>28.28431</td><td>2.914873</td><td>0.017986976</td><td>0.044338994</td><td>False</td><td>26.148582</td><td>0.54449284</td><td>nan</td><td>nan</td><td>False</td><td>26.960289</td><td>1.3520792</td><td>0.028040906</td><td>0.07689631</td><td>False</td><td>nan</td><td>-1.2324843</td><td>0.029553615</td><td>0.10641308</td><td>False</td><td>26.950165</td><td>1.4077618</td><td>0.17338929</td><td>0.054037787</td><td>False</td><td>28.132362</td><td>4.0495396</td><td>0.074833065</td><td>0.005767797</td><td>False</td><td>27.042511</td><td>0.10459295</td><td>0.067553006</td><td>0.0068315277</td><td>False</td><td>26.92846</td><td>0.10646696</td><td>0.049766883</td><td>0.0076589435</td><td>False</td><td>27.432304</td><td>0.19426544</td><td>0.06422646</td><td>0.013251078</td><td>False</td><td>26.830406</td><td>0.18116581</td><td>0.09565394</td><td>0.02573366</td><td>False</td><td>26.63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       "<tr><td>4</td><td>567068</td><td>149.93178112226795</td><td>1.9664628033180336</td><td>nan</td><td>nan</td><td>-0.0734735</td><td>0.08163951</td><td>27.558044</td><td>1.1080122</td><td>0.044555333</td><td>0.079245</td><td>26.643038</td><td>0.79897356</td><td>0.10430677</td><td>0.12131355</td><td>27.323809</td><td>1.0601962</td><td>0.004171224</td><td>0.0895818</td><td>27.437927</td><td>0.17744997</td><td>0.030450173</td><td>0.008846039</td><td>27.4816</td><td>0.18613699</td><td>0.029157203</td><td>0.007876768</td><td>27.461868</td><td>0.337933</td><td>0.034867194</td><td>0.020319544</td><td>27.433207</td><td>0.40668568</td><td>0.035964575</td><td>0.018504169</td><td>27.081839</td><td>0.23045433</td><td>0.045659654</td><td>0.015035579</td><td>28.67302</td><td>4.0911365</td><td>-7.6791126e-05</td><td>0.059603043</td><td>26.850498</td><td>0.30269784</td><td>0.06804317</td><td>0.035501793</td><td>nan</td><td>nan</td><td>-0.015461886</td><td>0.029590953</td><td>26.64874</td><td>0.29549798</td><td>0.07531237</td><td>0.03171435</td><td>28.113665</td><td>1.5585624</td><td>0.031237014</td><td>0.035640016</td><td>27.252205</td><td>0.7851449</td><td>0.053519055</td><td>0.06903422</td><td>27.667904</td><td>1.282037</td><td>0.038958505</td><td>0.04544336</td><td>28.923645</td><td>4.547455</td><td>-0.025273914</td><td>0.071417235</td><td>nan</td><td>nan</td><td>-0.027837658</td><td>0.043158174</td><td>nan</td><td>nan</td><td>0.041847963</td><td>0.07125387</td><td>26.69234</td><td>0.47438303</td><td>0.07697012</td><td>0.04520386</td><td>27.285791</td><td>0.76804036</td><td>0.08091257</td><td>0.06250013</td><td>26.035679</td><td>0.2307057</td><td>0.09071621</td><td>0.054488942</td><td>25.942734</td><td>0.2670411</td><td>0.025776347</td><td>0.07698677</td><td>26.506113</td><td>0.9033583</td><td>0.08102116</td><td>0.07757887</td><td>26.927874</td><td>0.5157299</td><td>0.07387884</td><td>0.056428187</td><td>27.48557</td><td>0.11684311</td><td>0.031434517</td><td>0.0048010857</td><td>27.083187</td><td>0.10148044</td><td>0.047521833</td><td>0.005810718</td><td>26.721502</td><td>0.08114434</td><td>0.061220393</td><td>0.0069173244</td><td>26.700165</td><td>0.13464865</td><td>0.066167355</td><td>0.010945797</td><td>26.946676</td><td>0.32206205</td><td>0.05063294</td><td>0.021660341</td><td>0.073285446</td><td>0.008732451</td><td>26.737455</td><td>0.12940416</td><td>0.08252057</td><td>0.0058449735</td><td>26.608595</td><td>0.076921925</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2064073</td><td>0.034417734</td><td>0.03512388</td><td>False</td><td>27.277756</td><td>1.9310632</td><td>0.07994381</td><td>0.0588292</td><td>False</td><td>26.354218</td><td>1.2627608</td><td>0.04270478</td><td>0.041700225</td><td>False</td><td>29.849342</td><td>23.317427</td><td>0.038444024</td><td>0.006283194</td><td>False</td><td>27.691032</td><td>0.31541574</td><td>0.036928352</td><td>0.0063309413</td><td>False</td><td>27.738136</td><td>0.29330975</td><td>0.037605602</td><td>0.01170466</td><td>False</td><td>27.54396</td><td>0.6327341</td><td>0.03861154</td><td>0.0144627765</td><td>False</td><td>27.510315</td><td>0.5586232</td><td>0.05336597</td><td>0.011327263</td><td>False</td><td>27.251167</td><td>0.35752946</td><td>0.012325149</td><td>0.0464421</td><td>False</td><td>nan</td><td>-842.71686</td><td>0.06603899</td><td>0.01841134</td><td>False</td><td>26.818039</td><td>0.56648713</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.0778816</td><td>0.079524994</td><td>0.021643816</td><td>False</td><td>26.70784</td><td>0.45720798</td><td>0.02063166</td><td>0.029616522</td><td>False</td><td>27.66333</td><td>1.2387757</td><td>0.045616053</td><td>0.03298703</td><td>False</td><td>27.078728</td><td>1.4004909</td><td>0.031105585</td><td>0.036729466</td><td>False</td><td>27.423492</td><td>1.2664629</td><td>0.009784563</td><td>0.04098128</td><td>False</td><td>nan</td><td>-3.0679963</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.6832734</td><td>nan</td><td>nan</td><td>False</td><td>27.345818</td><td>1.8486661</td><td>0.076394714</td><td>0.0333786</td><td>False</td><td>26.684196</td><td>0.6376431</td><td>0.044226576</td><td>0.03128549</td><td>False</td><td>26.62996</td><td>0.8386663</td><td>0.13987114</td><td>0.029720908</td><td>False</td><td>26.50579</td><td>0.6521504</td><td>0.15237235</td><td>0.037476577</td><td>False</td><td>27.871948</td><td>3.2427914</td><td>0.09068904</td><td>0.075455435</td><td>False</td><td>26.62851</td><td>1.0396073</td><td>0.061496485</td><td>0.029211126</td><td>False</td><td>26.728699</td><td>0.82927835</td><td>0.03679354</td><td>0.0039595915</td><td>False</td><td>27.656487</td><td>0.16582766</td><td>0.05329974</td><td>0.0049817637</td><td>False</td><td>27.207771</td><td>0.13275807</td><td>0.0743702</td><td>0.0055581834</td><td>False</td><td>26.932762</td><td>0.122677915</td><td>0.0758462</td><td>0.009406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       "<tr><td>5</td><td>567081</td><td>150.01289189104853</td><td>1.9664546269445171</td><td>nan</td><td>nan</td><td>-0.024993919</td><td>0.08336516</td><td>nan</td><td>nan</td><td>-0.02878846</td><td>0.081763335</td><td>25.812037</td><td>0.4011989</td><td>0.16721043</td><td>0.12506436</td><td>29.385582</td><td>7.6378217</td><td>0.03854332</td><td>0.09228436</td><td>28.451906</td><td>0.6666573</td><td>0.014983246</td><td>0.012459485</td><td>27.680862</td><td>0.19609429</td><td>0.02901355</td><td>0.0066042943</td><td>26.57326</td><td>0.13955227</td><td>0.080525465</td><td>0.018171746</td><td>26.769732</td><td>0.20980637</td><td>0.06398147</td><td>0.01683539</td><td>26.516125</td><td>0.12025592</td><td>0.08465683</td><td>0.012618093</td><td>26.50061</td><td>0.51204395</td><td>0.07770041</td><td>0.052841026</td><td>27.051363</td><td>0.32470176</td><td>0.09015082</td><td>0.030136717</td><td>27.409302</td><td>0.5731369</td><td>0.042189844</td><td>0.025626374</td><td>26.473763</td><td>0.23976438</td><td>0.082737766</td><td>0.028884372</td><td>27.028452</td><td>0.5045244</td><td>0.06750166</td><td>0.029903064</td><td>30.204445</td><td>10.757744</td><td>-0.0065468317</td><td>0.05967203</td><td>nan</td><td>nan</td><td>0.0104024755</td><td>0.040452044</td><td>25.90497</td><td>0.26108328</td><td>0.09553488</td><td>0.06310984</td><td>nan</td><td>nan</td><td>-0.08763012</td><td>0.03603461</td><td>29.25689</td><td>3.5700364</td><td>0.023951186</td><td>0.058817893</td><td>27.138313</td><td>0.5909614</td><td>0.050261836</td><td>0.03597172</td><td>26.269955</td><td>0.26028416</td><td>0.07341233</td><td>0.051564373</td><td>26.123978</td><td>0.2205532</td><td>0.1253897</td><td>0.0457362</td><td>nan</td><td>nan</td><td>-0.005755607</td><td>0.061819833</td><td>25.990677</td><td>0.4869356</td><td>0.10799576</td><td>0.064141385</td><td>26.311924</td><td>0.28607112</td><td>0.13045838</td><td>0.05256084</td><td>27.139421</td><td>0.092529535</td><td>0.04577423</td><td>0.0051046098</td><td>26.54798</td><td>0.06764189</td><td>0.08372297</td><td>0.00624884</td><td>26.308216</td><td>0.058625568</td><td>0.09646428</td><td>0.0071238666</td><td>26.353876</td><td>0.102791235</td><td>0.09389799</td><td>0.011068616</td><td>26.23317</td><td>0.17609514</td><td>0.09162656</td><td>0.021870552</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-3.6213837</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-3.0836456</td><td>0.17186409</td><td>0.06350685</td><td>False</td><td>25.841843</td><td>0.8120719</td><td>0.006393918</td><td>0.044979252</td><td>False</td><td>27.435127</td><td>2.5995805</td><td>0.015109058</td><td>0.009277173</td><td>False</td><td>28.46099</td><td>0.90285593</td><td>0.030736519</td><td>0.005551308</td><td>False</td><td>27.7435</td><td>0.24714386</td><td>0.08525032</td><td>0.010957427</td><td>False</td><td>26.63517</td><td>0.2450122</td><td>0.07113889</td><td>0.013746793</td><td>False</td><td>26.884865</td><td>0.28568882</td><td>0.08985658</td><td>0.009952497</td><td>False</td><td>26.580849</td><td>0.16182888</td><td>0.09114984</td><td>0.042987168</td><td>False</td><td>26.673943</td><td>0.73836696</td><td>0.054885134</td><td>0.016414024</td><td>False</td><td>26.51258</td><td>0.36295316</td><td>0.039471094</td><td>0.020835945</td><td>False</td><td>27.336983</td><td>0.6594829</td><td>0.09343181</td><td>0.020632653</td><td>False</td><td>26.605743</td><td>0.3790386</td><td>0.05605561</td><td>0.026048152</td><td>False</td><td>26.826714</td><td>0.48097834</td><td>0.0030076127</td><td>0.029800171</td><td>False</td><td>nan</td><td>-9.896097</td><td>nan</td><td>nan</td><td>False</td><td>28.857162</td><td>4.2220955</td><td>0.15776545</td><td>0.037937317</td><td>False</td><td>26.4496</td><td>0.7172316</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.44646838</td><td>0.0071985414</td><td>0.023669703</td><td>False</td><td>27.951683</td><td>2.666286</td><td>0.05066111</td><td>0.027574616</td><td>False</td><td>27.146904</td><td>0.77704674</td><td>0.11272446</td><td>0.027023498</td><td>False</td><td>26.73558</td><td>0.7626145</td><td>0.12894627</td><td>0.026193758</td><td>False</td><td>26.154343</td><td>0.39602497</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-11.661676</td><td>0.14579049</td><td>0.06538474</td><td>False</td><td>26.316483</td><td>0.6448459</td><td>0.10845015</td><td>0.028574578</td><td>False</td><td>26.11132</td><td>0.43743607</td><td>0.05060941</td><td>0.0043130782</td><td>False</td><td>27.248451</td><td>0.121078156</td><td>0.087258615</td><td>0.0054362537</td><td>False</td><td>26.592888</td><td>0.0810362</td><td>0.10882123</td><td>0.0058759265</td><td>False</td><td>26.43908</td><td>0.08018139</td><td>0.10433964</td><td>0.009878273</td><td>False</td><td>26.46836</td><td>0.12798567</td><td>0.11660896</td><td>0.018912762</td><td>False</td><td>26.49495</td><td>0.25915682</td><td>False</td><td>False</td><td>False</td><td>False</td></tr>\n",
       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lse</td><td>27.766266</td><td>0.8542397</td><td>False</td><td>False</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>7</td><td>567117</td><td>149.98872860254048</td><td>1.9663945860893333</td><td>26.77684</td><td>0.9606894</td><td>0.18589678</td><td>0.08172796</td><td>27.80165</td><td>2.1514385</td><td>0.11530659</td><td>0.07964234</td><td>24.980768</td><td>0.26891413</td><td>0.25245428</td><td>0.1227361</td><td>nan</td><td>nan</td><td>0.13060169</td><td>0.0898797</td><td>28.835518</td><td>1.1067208</td><td>0.008939885</td><td>0.009815858</td><td>29.441391</td><td>1.5165218</td><td>0.007854267</td><td>0.0068147364</td><td>29.373667</td><td>2.8109176</td><td>0.009125101</td><td>0.018797953</td><td>27.111586</td><td>0.42444676</td><td>0.0679098</td><td>0.016798709</td><td>29.543594</td><td>2.9682007</td><td>0.030996846</td><td>0.012924457</td><td>nan</td><td>nan</td><td>0.01253915</td><td>0.05168772</td><td>26.40636</td><td>0.2706885</td><td>0.108457334</td><td>0.030964395</td><td>26.386982</td><td>0.33662146</td><td>0.034022134</td><td>0.026099363</td><td>nan</td><td>nan</td><td>0.027588477</td><td>0.029024178</td><td>29.441668</td><td>7.070978</td><td>0.022184528</td><td>0.030949011</td><td>nan</td><td>nan</td><td>-0.024169588</td><td>0.061457813</td><td>27.138578</td><td>1.0612528</td><td>0.027167194</td><td>0.039600972</td><td>25.296314</td><td>0.22068241</td><td>0.02560877</td><td>0.06352649</td><td>nan</td><td>nan</td><td>-0.004840795</td><td>0.036601003</td><td>25.783245</td><td>0.22094715</td><td>0.0072297887</td><td>0.06005285</td><td>25.953455</td><td>0.3004746</td><td>0.035832856</td><td>0.03694218</td><td>27.44547</td><td>1.173223</td><td>0.04205056</td><td>0.053384878</td><td>25.391048</td><td>0.1693543</td><td>0.10078686</td><td>0.046945535</td><td>26.06448</td><td>0.384016</td><td>0.09542702</td><td>0.064357646</td><td>24.823357</td><td>0.26472655</td><td>0.18713917</td><td>0.07073763</td><td>nan</td><td>nan</td><td>-0.0054745283</td><td>0.05250768</td><td>27.732155</td><td>0.21160536</td><td>0.020695044</td><td>0.0046059797</td><td>27.005808</td><td>0.13933353</td><td>0.047533702</td><td>0.0058150417</td><td>26.390833</td><td>0.08849424</td><td>0.08517978</td><td>0.0070372797</td><td>26.235535</td><td>0.13333859</td><td>0.08950183</td><td>0.011069429</td><td>25.803764</td><td>0.17014457</td><td>0.09939722</td><td>0.021443317</td><td>0.05960142</td><td>0.0158451</td><td>26.961859</td><td>0.2887142</td><td>0.21441175</td><td>0.02314534</td><td>25.571878</td><td>0.11723163</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.07067465</td><td>0.06253489</td><td>False</td><td>25.726822</td><td>0.4773348</td><td>0.02750047</td><td>0.0544935</td><td>False</td><td>26.245361</td><td>0.7499187</td><td>0.36956665</td><td>0.09153392</td><td>False</td><td>25.394539</td><td>0.5278541</td><td>nan</td><td>nan</td><td>False</td><td>26.11013</td><td>0.7472004</td><td>0.010611886</td><td>0.010816989</td><td>False</td><td>29.021675</td><td>1.1921219</td><td>0.0060735615</td><td>0.008483358</td><td>False</td><td>29.16224</td><td>0.94203645</td><td>0.0064644786</td><td>0.016736217</td><td>False</td><td>28.999405</td><td>2.2366455</td><td>0.051923674</td><td>0.020298516</td><td>False</td><td>26.820168</td><td>0.26857632</td><td>0.005527927</td><td>0.015112324</td><td>False</td><td>27.671707</td><td>0.452709</td><td>nan</td><td>nan</td><td>False</td><td>28.654327</td><td>4.4755206</td><td>0.099415846</td><td>0.024785696</td><td>False</td><td>26.311852</td><td>0.30997592</td><td>0.10120619</td><td>0.031377953</td><td>False</td><td>27.570595</td><td>0.83289963</td><td>nan</td><td>nan</td><td>False</td><td>27.79818</td><td>1.1422377</td><td>0.006072015</td><td>0.03954467</td><td>False</td><td>28.034874</td><td>1.51468</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.760782</td><td>0.050648708</td><td>0.04950658</td><td>False</td><td>27.814888</td><td>1.5826519</td><td>0.27635923</td><td>0.05617167</td><td>False</td><td>27.879028</td><td>2.693335</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-8.209196</td><td>0.17648253</td><td>0.035914164</td><td>False</td><td>29.25219</td><td>9.018458</td><td>0.15087524</td><td>0.04175432</td><td>False</td><td>27.514297</td><td>1.1193486</td><td>0.038177844</td><td>0.04125415</td><td>False</td><td>27.340569</td><td>1.3783858</td><td>0.2532682</td><td>0.03950505</td><td>False</td><td>26.391495</td><td>0.5057253</td><td>0.1362096</td><td>0.04817622</td><td>False</td><td>26.45082</td><td>0.73223937</td><td>0.42722553</td><td>0.10416705</td><td>False</td><td>25.71959</td><td>0.4104026</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-10.413589</td><td>0.029318236</td><td>0.0057139993</td><td>False</td><td>28.110336</td><td>0.24164619</td><td>0.057236966</td><td>0.0073452727</td><td>False</td><td>27.207497</td><td>0.13282368</td><td>0.10084791</td><td>0.008219731</td><td>False</td><td>26.574165</td><td>0.08970002</td><td>0.116355225</td><td>0.014289512</td><td>False</td><td>26.520424</td><td>0.13428195</td><td>0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       "<tr><td>8</td><td>567132</td><td>150.16111944512843</td><td>1.966473840650374</td><td>27.348724</td><td>0.6382576</td><td>0.04173677</td><td>0.058941122</td><td>26.25847</td><td>0.08163182</td><td>0.11454578</td><td>0.024233328</td><td>26.682339</td><td>0.21347384</td><td>0.07712822</td><td>0.039415207</td><td>26.600092</td><td>0.13946931</td><td>0.08263897</td><td>0.028751666</td><td>28.583054</td><td>0.6793347</td><td>0.013436549</td><td>0.014079901</td><td>27.886272</td><td>0.1910512</td><td>0.02560193</td><td>0.0066502434</td><td>27.49355</td><td>0.26584563</td><td>0.035483968</td><td>0.018535484</td><td>26.704441</td><td>0.16185187</td><td>0.07598961</td><td>0.017189393</td><td>26.896412</td><td>0.13204165</td><td>0.06396088</td><td>0.012192161</td><td>26.281563</td><td>0.33593652</td><td>0.11128553</td><td>0.052843593</td><td>26.878916</td><td>0.22130454</td><td>0.06359205</td><td>0.03015568</td><td>28.353436</td><td>1.1011611</td><td>0.017493412</td><td>0.025761303</td><td>26.520298</td><td>0.1922043</td><td>0.08948522</td><td>0.027699051</td><td>27.76864</td><td>0.94689053</td><td>0.027489025</td><td>0.035459436</td><td>26.576542</td><td>0.2858943</td><td>0.082935706</td><td>0.055883504</td><td>27.077156</td><td>0.51755077</td><td>0.05414517</td><td>0.037667807</td><td>27.364725</td><td>0.82205206</td><td>0.041519895</td><td>0.064757474</td><td>nan</td><td>nan</td><td>-0.029641394</td><td>0.03633149</td><td>26.795479</td><td>0.29447594</td><td>0.06741918</td><td>0.05847405</td><td>28.53818</td><td>1.6962842</td><td>0.013481964</td><td>0.035547398</td><td>28.187098</td><td>1.1578757</td><td>0.021264575</td><td>0.049021043</td><td>27.706167</td><td>0.7183711</td><td>0.02867376</td><td>0.043469787</td><td>28.317307</td><td>1.5549873</td><td>0.017471503</td><td>0.06005699</td><td>27.81265</td><td>2.0429695</td><td>0.0281032</td><td>0.06282983</td><td>26.004786</td><td>0.16343185</td><td>0.14154334</td><td>0.049916282</td><td>27.427084</td><td>0.102654554</td><td>0.03888213</td><td>0.0052152965</td><td>26.865889</td><td>0.07860723</td><td>0.065477446</td><td>0.006419173</td><td>26.633896</td><td>0.0658189</td><td>0.081048205</td><td>0.0071805744</td><td>26.219477</td><td>0.07777716</td><td>0.11861119</td><td>0.0116430735</td><td>26.127865</td><td>0.13240547</td><td>0.12983629</td><td>0.022559341</td><td>0.08276063</td><td>0.0036507044</td><td>26.60544</td><td>0.047905203</td><td>0.08957665</td><td>0.0074374718</td><td>26.519512</td><td>0.09016964</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.04173593</td><td>0.024534758</td><td>False</td><td>27.34871</td><td>1.5332885</td><td>0.11392303</td><td>0.00856538</td><td>False</td><td>26.252556</td><td>0.22969857</td><td>0.07710179</td><td>0.015159499</td><td>False</td><td>26.681969</td><td>0.554849</td><td>0.08316927</td><td>0.01068359</td><td>False</td><td>26.60704</td><td>0.3777482</td><td>0.0133899385</td><td>0.008377956</td><td>False</td><td>28.579277</td><td>1.137722</td><td>0.025438463</td><td>0.0044762706</td><td>False</td><td>27.879326</td><td>0.28202596</td><td>0.03652415</td><td>0.008943043</td><td>False</td><td>27.524925</td><td>0.56714755</td><td>0.07554808</td><td>0.011262034</td><td>False</td><td>26.698112</td><td>0.24560128</td><td>0.06330456</td><td>0.007698775</td><td>False</td><td>26.885216</td><td>0.20696196</td><td>0.11152565</td><td>0.034507036</td><td>False</td><td>26.283905</td><td>0.5155585</td><td>0.06433296</td><td>0.013112923</td><td>False</td><td>26.891495</td><td>0.5148617</td><td>0.01654343</td><td>0.01677846</td><td>False</td><td>28.292816</td><td>1.5988865</td><td>0.089511834</td><td>0.015845986</td><td>False</td><td>26.520622</td><td>0.33607632</td><td>0.02834939</td><td>0.024724023</td><td>False</td><td>27.802101</td><td>1.4005442</td><td>0.08499303</td><td>0.022380225</td><td>False</td><td>26.60315</td><td>0.7315877</td><td>0.053596623</td><td>0.025548538</td><td>False</td><td>27.066109</td><td>0.7553268</td><td>0.041125387</td><td>0.03113759</td><td>False</td><td>27.354362</td><td>1.6933937</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.330788</td><td>0.06947176</td><td>0.018842297</td><td>False</td><td>26.828041</td><td>0.94168144</td><td>0.013954947</td><td>0.021802308</td><td>False</td><td>28.575615</td><td>2.8627207</td><td>0.019282397</td><td>0.020563576</td><td>False</td><td>28.080864</td><td>2.502938</td><td>0.030028446</td><td>0.019868148</td><td>False</td><td>27.756287</td><td>1.6459898</td><td>0.017103186</td><td>0.02449512</td><td>False</td><td>28.294174</td><td>3.732137</td><td>0.027223215</td><td>0.051224407</td><td>False</td><td>27.778114</td><td>2.427361</td><td>0.14390829</td><td>0.021661984</td><td>False</td><td>26.022774</td><td>0.3828927</td><td>0.03882989</td><td>0.0036713013</td><td>False</td><td>27.425629</td><td>0.14563082</td><td>0.06510951</td><td>0.004713924</td><td>False</td><td>26.859772</td><td>0.10644166</td><td>0.08061979</td><td>0.0048872884</td><td>False</td><td>26.628143</td><td>0.09619225</td><td>0.118088976</td><td>0.008459353</td><td>False</td><td>26.214691</td><td>0.10657769</td><td>0.12848541</td><td>0.015668789</td><td>False</td><td>26.116508</td><td>0.18864903</td><td>False</td><td>False</td><td>False</td><td>False</td></tr>\n",
       "<tr><td>9</td><td>567133</td><td>149.88597897610924</td><td>1.9665097029885028</td><td>25.938435</td><td>0.3833655</td><td>0.054919016</td><td>0.082461484</td><td>25.735966</td><td>0.2748279</td><td>0.10055104</td><td>0.07976376</td><td>24.75753</td><td>0.18866289</td><td>0.18714619</td><td>0.123314016</td><td>25.50361</td><td>0.26598316</td><td>0.124042965</td><td>0.09102287</td><td>27.542332</td><td>0.26772904</td><td>0.029044216</td><td>0.009203247</td><td>26.77225</td><td>0.13626765</td><td>0.046659607</td><td>0.008339754</td><td>25.69578</td><td>0.12177092</td><td>0.05219665</td><td>0.028188374</td><td>26.524452</td><td>0.26825094</td><td>0.062682405</td><td>0.021313135</td><td>26.503336</td><td>0.23448332</td><td>0.06195221</td><td>0.019618036</td><td>26.381296</td><td>0.6678075</td><td>0.07692184</td><td>0.060134526</td><td>27.746586</td><td>1.0236646</td><td>0.033652738</td><td>0.039773695</td><td>26.813562</td><td>0.49984124</td><td>0.03590372</td><td>0.030709127</td><td>26.590727</td><td>0.3907514</td><td>0.06699544</td><td>0.03339165</td><td>26.252441</td><td>0.3946928</td><td>0.085381664</td><td>0.037932467</td><td>27.131147</td><td>0.9480545</td><td>0.026272466</td><td>0.06855739</td><td>25.667734</td><td>0.29130027</td><td>0.11001813</td><td>0.049986064</td><td>26.34726</td><td>0.58062565</td><td>0.13847406</td><td>0.07445679</td><td>26.654451</td><td>0.45984742</td><td>0.022382315</td><td>0.043583527</td><td>28.67028</td><td>3.2357268</td><td>-0.040765896</td><td>0.07178859</td><td>25.765213</td><td>0.26789674</td><td>0.06355887</td><td>0.0458199</td><td>26.824476</td><td>0.6790165</td><td>0.031504095</td><td>0.063739955</td><td>26.304298</td><td>0.40862373</td><td>0.05001524</td><td>0.057113707</td><td>26.863005</td><td>0.81168437</td><td>0.12354861</td><td>0.07499915</td><td>nan</td><td>nan</td><td>-0.062603325</td><td>0.081626244</td><td>26.38295</td><td>0.44514322</td><td>0.09671128</td><td>0.058703616</td><td>26.593351</td><td>0.07232086</td><td>0.05634404</td><td>0.0053571216</td><td>26.222221</td><td>0.06290527</td><td>0.08279118</td><td>0.006310048</td><td>26.019798</td><td>0.058161348</td><td>0.088961095</td><td>0.007332869</td><td>26.261848</td><td>0.12053496</td><td>0.08718484</td><td>0.011310829</td><td>25.87805</td><td>0.162017</td><td>0.0921817</td><td>0.022155525</td><td>0.19697307</td><td>0.0059757982</td><td>25.663982</td><td>0.03294723</td><td>0.16984089</td><td>0.010166014</td><td>25.824894</td><td>0.06500373</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>0.15297697</td><td>0.05401505</td><td>False</td><td>27.050697</td><td>1.6302443</td><td>0.18433744</td><td>0.046660572</td><td>False</td><td>26.394035</td><td>0.86127806</td><td>0.4539287</td><td>0.0788769</td><td>False</td><td>25.719551</td><td>0.7154112</td><td>0.22832623</td><td>0.055935256</td><td>False</td><td>26.166069</td><td>0.79671437</td><td>0.03491942</td><td>0.008610694</td><td>False</td><td>27.742355</td><td>0.34403744</td><td>0.07097411</td><td>0.008907757</td><td>False</td><td>27.227646</td><td>0.1940602</td><td>0.19128801</td><td>0.021453938</td><td>False</td><td>27.105888</td><td>0.58634293</td><td>0.089170076</td><td>0.022031095</td><td>False</td><td>26.907135</td><td>0.36916965</td><td>0.090921246</td><td>0.019636</td><td>False</td><td>26.91986</td><td>0.34381357</td><td>0.10173762</td><td>0.06257611</td><td>False</td><td>26.684875</td><td>0.8487866</td><td>0.02893115</td><td>0.027277155</td><td>False</td><td>27.58245</td><td>1.2832161</td><td>0.068324216</td><td>0.031454477</td><td>False</td><td>27.512154</td><td>0.9286507</td><td>0.08388975</td><td>0.030191533</td><td>False</td><td>26.834885</td><td>0.54114914</td><td>0.11455746</td><td>0.04164456</td><td>False</td><td>26.571594</td><td>0.4823594</td><td>0.05099657</td><td>0.04452972</td><td>False</td><td>27.85125</td><td>2.833203</td><td>0.19629367</td><td>0.052665092</td><td>False</td><td>26.29634</td><td>0.49329758</td><td>0.1049775</td><td>0.056139447</td><td>False</td><td>26.046577</td><td>0.58379465</td><td>0.07910776</td><td>0.03350492</td><td>False</td><td>28.025238</td><td>2.1141787</td><td>0.012356273</td><td>0.036824342</td><td>False</td><td>nan</td><td>-1.911977</td><td>0.17943817</td><td>0.044274937</td><td>False</td><td>26.89206</td><td>0.7827125</td><td>0.067640886</td><td>0.042302426</td><td>False</td><td>27.654083</td><td>2.1966915</td><td>0.109214544</td><td>0.04110359</td><td>False</td><td>27.152245</td><td>1.2398304</td><td>0.065282665</td><td>0.048804596</td><td>False</td><td>26.170403</td><td>0.65908706</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.4156526</td><td>0.10158269</td><td>0.0416481</td><td>False</td><td>26.43631</td><td>0.6590404</td><td>0.08368727</td><td>0.005574407</td><td>False</td><td>27.02288</td><td>0.10323045</td><td>0.11779076</td><td>0.006824548</td><td>False</td><td>26.605042</td><td>0.08275093</td><td>0.14193207</td><td>0.0076031005</td><td>False</td><td>26.527</td><td>0.08949487</td><td>0.11356922</td><td>0.012608091</td><td>False</td><td>26.548897</td><td>0.14085679</td><td>0.161726</td><td>0.024133265</td><td>False</td><td>26.488388</td><td>0.2609526</td><td>False</td><td>False</td><td>False</td><td>False</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(\"$('#table4894541304-180145').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",
       "    $('#table4894541304-180145').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, 143, 144, 145, 146, 148, 149, 150, 151, 153, 154, 155, 156, 158, 159, 160, 161, 163, 164, 165, 166, 168, 169, 170, 171, 173, 174, 175, 176, 178, 179, 180, 181, 183, 184, 185, 186, 188, 189, 190, 191, 193, 194, 195, 196, 198, 199, 200, 201, 203, 204, 205, 206, 208, 209, 210, 211, 213, 214, 215, 216, 218, 219, 220, 221, 223, 224, 225, 226, 228, 229, 230, 231, 233, 234, 235, 236, 238, 239, 240, 241, 243, 244, 245, 246, 248, 249, 250, 251, 253, 254, 255, 256, 258, 259, 260, 261, 263, 264, 265, 266, 268, 269, 270, 271, 273, 274, 275, 276, 278, 279, 280, 281, 283, 284, 285, 286, 288, 289], type: \"optionalnum\"}]\n",
       "    });\n",
       "});\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catalogue[:10].show_in_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## II - Removal of duplicated sources"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We remove duplicated objects from the input catalogues."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "SORT_COLS = []\n",
    "for f in bands:\n",
    "    if 'irac' not in bands[f]:\n",
    "        SORT_COLS += ['merr_ap_cosmos-' + bands[f]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The initial catalogue had 41783 sources.\n",
      "The cleaned catalogue has 41783 sources (0 removed).\n",
      "The cleaned catalogue has 0 sources flagged as having been cleaned\n"
     ]
    }
   ],
   "source": [
    "#SORT_COLS = ['merr_ap_gpc1_r', 'merr_ap_gpc1_g', 'merr_ap_gpc1_i', 'merr_ap_gpc1_z', 'merr_ap_gpc1_y']\n",
    "FLAG_NAME = 'cosmos_flag_cleaned'\n",
    "\n",
    "nb_orig_sources = len(catalogue)\n",
    "\n",
    "catalogue = remove_duplicates(catalogue, RA_COL, DEC_COL,  sort_col=SORT_COLS, flag_name=FLAG_NAME)\n",
    "\n",
    "nb_sources = len(catalogue)\n",
    "\n",
    "print(\"The initial catalogue had {} sources.\".format(nb_orig_sources))\n",
    "print(\"The cleaned catalogue has {} sources ({} removed).\".format(nb_sources, nb_orig_sources - nb_sources))\n",
    "print(\"The cleaned catalogue has {} sources flagged as having been cleaned\".format(np.sum(catalogue[FLAG_NAME])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## III - Astrometry correction\n",
    "\n",
    "We match the astrometry to the Gaia one. We limit the Gaia catalogue to sources with a g band flux between the 30th and the 70th percentile. Some quick tests show that this give the lower dispersion in the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "gaia = Table.read(\"../../dmu0/dmu0_GAIA/data/GAIA_COSMOS.fits\")\n",
    "gaia_coords = SkyCoord(gaia['ra'], gaia['dec'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_astcor_diag_plot(catalogue[RA_COL], catalogue[DEC_COL], \n",
    "                    gaia_coords.ra, gaia_coords.dec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RA correction: -0.018899096994573483 arcsec\n",
      "Dec correction: -0.01368968587449615 arcsec\n"
     ]
    }
   ],
   "source": [
    "delta_ra, delta_dec =  astrometric_correction(\n",
    "    SkyCoord(catalogue[RA_COL], catalogue[DEC_COL]),\n",
    "    gaia_coords\n",
    ")\n",
    "\n",
    "print(\"RA correction: {}\".format(delta_ra))\n",
    "print(\"Dec correction: {}\".format(delta_dec))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-5.249749165159301e-06"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delta_ra.to(u.deg).value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "catalogue[RA_COL] +=  delta_ra.to(u.deg).value\n",
    "catalogue[DEC_COL] += delta_dec.to(u.deg).value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_astcor_diag_plot(catalogue[RA_COL], catalogue[DEC_COL], \n",
    "                    gaia_coords.ra, gaia_coords.dec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IV - Flagging Gaia objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "catalogue.add_column(\n",
    "    gaia_flag_column(SkyCoord(catalogue[RA_COL], catalogue[DEC_COL]), epoch, gaia)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "181 sources flagged.\n"
     ]
    }
   ],
   "source": [
    "GAIA_FLAG_NAME = \"cosmos_flag_gaia\"\n",
    "\n",
    "catalogue['flag_gaia'].name = GAIA_FLAG_NAME\n",
    "print(\"{} sources flagged.\".format(np.sum(catalogue[GAIA_FLAG_NAME] > 0)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# VI - Saving to disk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<i>Table length=5</i>\n",
       "<table id=\"table4894473184\" class=\"table-striped table-bordered table-condensed\">\n",
       "<thead><tr><th>cosmos_id</th><th>cosmos_ra</th><th>cosmos_dec</th><th>m_cosmos-vista_ks</th><th>merr_cosmos-vista_ks</th><th>f_ap_cosmos-vista_ks</th><th>ferr_ap_cosmos-vista_ks</th><th>m_cosmos-vista_y</th><th>merr_cosmos-vista_y</th><th>f_ap_cosmos-vista_y</th><th>ferr_ap_cosmos-vista_y</th><th>m_cosmos-vista_h</th><th>merr_cosmos-vista_h</th><th>f_ap_cosmos-vista_h</th><th>ferr_ap_cosmos-vista_h</th><th>m_cosmos-vista_j</th><th>merr_cosmos-vista_j</th><th>f_ap_cosmos-vista_j</th><th>ferr_ap_cosmos-vista_j</th><th>m_cosmos-megacam_u</th><th>merr_cosmos-megacam_u</th><th>f_ap_cosmos-megacam_u</th><th>ferr_ap_cosmos-megacam_u</th><th>m_cosmos-suprime_b</th><th>merr_cosmos-suprime_b</th><th>f_ap_cosmos-suprime_b</th><th>ferr_ap_cosmos-suprime_b</th><th>m_cosmos-suprime_v</th><th>merr_cosmos-suprime_v</th><th>f_ap_cosmos-suprime_v</th><th>ferr_ap_cosmos-suprime_v</th><th>m_cosmos-suprime_ip</th><th>merr_cosmos-suprime_ip</th><th>f_ap_cosmos-suprime_ip</th><th>ferr_ap_cosmos-suprime_ip</th><th>m_cosmos-suprime_rc</th><th>merr_cosmos-suprime_rc</th><th>f_ap_cosmos-suprime_rc</th><th>ferr_ap_cosmos-suprime_rc</th><th>m_cosmos-suprime_zp</th><th>merr_cosmos-suprime_zp</th><th>f_ap_cosmos-suprime_zp</th><th>ferr_ap_cosmos-suprime_zp</th><th>m_cosmos-suprime_zpp</th><th>merr_cosmos-suprime_zpp</th><th>f_ap_cosmos-suprime_zpp</th><th>ferr_ap_cosmos-suprime_zpp</th><th>m_cosmos-suprime_ia484</th><th>merr_cosmos-suprime_ia484</th><th>f_ap_cosmos-suprime_ia484</th><th>ferr_ap_cosmos-suprime_ia484</th><th>m_cosmos-suprime_ia527</th><th>merr_cosmos-suprime_ia527</th><th>f_ap_cosmos-suprime_ia527</th><th>ferr_ap_cosmos-suprime_ia527</th><th>m_cosmos-suprime_ia624</th><th>merr_cosmos-suprime_ia624</th><th>f_ap_cosmos-suprime_ia624</th><th>ferr_ap_cosmos-suprime_ia624</th><th>m_cosmos-suprime_ia679</th><th>merr_cosmos-suprime_ia679</th><th>f_ap_cosmos-suprime_ia679</th><th>ferr_ap_cosmos-suprime_ia679</th><th>m_cosmos-suprime_ia738</th><th>merr_cosmos-suprime_ia738</th><th>f_ap_cosmos-suprime_ia738</th><th>ferr_ap_cosmos-suprime_ia738</th><th>m_cosmos-suprime_ia767</th><th>merr_cosmos-suprime_ia767</th><th>f_ap_cosmos-suprime_ia767</th><th>ferr_ap_cosmos-suprime_ia767</th><th>m_cosmos-suprime_ib427</th><th>merr_cosmos-suprime_ib427</th><th>f_ap_cosmos-suprime_ib427</th><th>ferr_ap_cosmos-suprime_ib427</th><th>m_cosmos-suprime_ib464</th><th>merr_cosmos-suprime_ib464</th><th>f_ap_cosmos-suprime_ib464</th><th>ferr_ap_cosmos-suprime_ib464</th><th>m_cosmos-suprime_ib505</th><th>merr_cosmos-suprime_ib505</th><th>f_ap_cosmos-suprime_ib505</th><th>ferr_ap_cosmos-suprime_ib505</th><th>m_cosmos-suprime_ib574</th><th>merr_cosmos-suprime_ib574</th><th>f_ap_cosmos-suprime_ib574</th><th>ferr_ap_cosmos-suprime_ib574</th><th>m_cosmos-suprime_ib709</th><th>merr_cosmos-suprime_ib709</th><th>f_ap_cosmos-suprime_ib709</th><th>ferr_ap_cosmos-suprime_ib709</th><th>m_cosmos-suprime_ib827</th><th>merr_cosmos-suprime_ib827</th><th>f_ap_cosmos-suprime_ib827</th><th>ferr_ap_cosmos-suprime_ib827</th><th>m_cosmos-suprime_nb711</th><th>merr_cosmos-suprime_nb711</th><th>f_ap_cosmos-suprime_nb711</th><th>ferr_ap_cosmos-suprime_nb711</th><th>m_cosmos-suprime_nb816</th><th>merr_cosmos-suprime_nb816</th><th>f_ap_cosmos-suprime_nb816</th><th>ferr_ap_cosmos-suprime_nb816</th><th>m_cosmos-suprime_g</th><th>merr_cosmos-suprime_g</th><th>f_ap_cosmos-suprime_g</th><th>ferr_ap_cosmos-suprime_g</th><th>m_cosmos-suprime_r</th><th>merr_cosmos-suprime_r</th><th>f_ap_cosmos-suprime_r</th><th>ferr_ap_cosmos-suprime_r</th><th>m_cosmos-suprime_i</th><th>merr_cosmos-suprime_i</th><th>f_ap_cosmos-suprime_i</th><th>ferr_ap_cosmos-suprime_i</th><th>m_cosmos-suprime_z</th><th>merr_cosmos-suprime_z</th><th>f_ap_cosmos-suprime_z</th><th>ferr_ap_cosmos-suprime_z</th><th>m_cosmos-suprime_y</th><th>merr_cosmos-suprime_y</th><th>f_ap_cosmos-suprime_y</th><th>ferr_ap_cosmos-suprime_y</th><th>f_cosmos-irac_i1</th><th>ferr_cosmos-irac_i1</th><th>m_cosmos-irac_i1</th><th>merr_cosmos-irac_i1</th><th>f_cosmos-irac_i2</th><th>ferr_cosmos-irac_i2</th><th>m_cosmos-irac_i2</th><th>merr_cosmos-irac_i2</th><th>f_cosmos-irac_i3</th><th>ferr_cosmos-irac_i3</th><th>m_cosmos-irac_i3</th><th>merr_cosmos-irac_i3</th><th>f_cosmos-irac_i4</th><th>ferr_cosmos-irac_i4</th><th>m_cosmos-irac_i4</th><th>merr_cosmos-irac_i4</th><th>f_cosmos-vista_ks</th><th>ferr_cosmos-vista_ks</th><th>flag_cosmos-vista_ks</th><th>m_ap_cosmos-vista_ks</th><th>merr_ap_cosmos-vista_ks</th><th>f_cosmos-vista_y</th><th>ferr_cosmos-vista_y</th><th>flag_cosmos-vista_y</th><th>m_ap_cosmos-vista_y</th><th>merr_ap_cosmos-vista_y</th><th>f_cosmos-vista_h</th><th>ferr_cosmos-vista_h</th><th>flag_cosmos-vista_h</th><th>m_ap_cosmos-vista_h</th><th>merr_ap_cosmos-vista_h</th><th>f_cosmos-vista_j</th><th>ferr_cosmos-vista_j</th><th>flag_cosmos-vista_j</th><th>m_ap_cosmos-vista_j</th><th>merr_ap_cosmos-vista_j</th><th>f_cosmos-megacam_u</th><th>ferr_cosmos-megacam_u</th><th>flag_cosmos-megacam_u</th><th>m_ap_cosmos-megacam_u</th><th>merr_ap_cosmos-megacam_u</th><th>f_cosmos-suprime_b</th><th>ferr_cosmos-suprime_b</th><th>flag_cosmos-suprime_b</th><th>m_ap_cosmos-suprime_b</th><th>merr_ap_cosmos-suprime_b</th><th>f_cosmos-suprime_v</th><th>ferr_cosmos-suprime_v</th><th>flag_cosmos-suprime_v</th><th>m_ap_cosmos-suprime_v</th><th>merr_ap_cosmos-suprime_v</th><th>f_cosmos-suprime_ip</th><th>ferr_cosmos-suprime_ip</th><th>flag_cosmos-suprime_ip</th><th>m_ap_cosmos-suprime_ip</th><th>merr_ap_cosmos-suprime_ip</th><th>f_cosmos-suprime_rc</th><th>ferr_cosmos-suprime_rc</th><th>flag_cosmos-suprime_rc</th><th>m_ap_cosmos-suprime_rc</th><th>merr_ap_cosmos-suprime_rc</th><th>f_cosmos-suprime_zp</th><th>ferr_cosmos-suprime_zp</th><th>flag_cosmos-suprime_zp</th><th>m_ap_cosmos-suprime_zp</th><th>merr_ap_cosmos-suprime_zp</th><th>f_cosmos-suprime_zpp</th><th>ferr_cosmos-suprime_zpp</th><th>flag_cosmos-suprime_zpp</th><th>m_ap_cosmos-suprime_zpp</th><th>merr_ap_cosmos-suprime_zpp</th><th>f_cosmos-suprime_ia484</th><th>ferr_cosmos-suprime_ia484</th><th>flag_cosmos-suprime_ia484</th><th>m_ap_cosmos-suprime_ia484</th><th>merr_ap_cosmos-suprime_ia484</th><th>f_cosmos-suprime_ia527</th><th>ferr_cosmos-suprime_ia527</th><th>flag_cosmos-suprime_ia527</th><th>m_ap_cosmos-suprime_ia527</th><th>merr_ap_cosmos-suprime_ia527</th><th>f_cosmos-suprime_ia624</th><th>ferr_cosmos-suprime_ia624</th><th>flag_cosmos-suprime_ia624</th><th>m_ap_cosmos-suprime_ia624</th><th>merr_ap_cosmos-suprime_ia624</th><th>f_cosmos-suprime_ia679</th><th>ferr_cosmos-suprime_ia679</th><th>flag_cosmos-suprime_ia679</th><th>m_ap_cosmos-suprime_ia679</th><th>merr_ap_cosmos-suprime_ia679</th><th>f_cosmos-suprime_ia738</th><th>ferr_cosmos-suprime_ia738</th><th>flag_cosmos-suprime_ia738</th><th>m_ap_cosmos-suprime_ia738</th><th>merr_ap_cosmos-suprime_ia738</th><th>f_cosmos-suprime_ia767</th><th>ferr_cosmos-suprime_ia767</th><th>flag_cosmos-suprime_ia767</th><th>m_ap_cosmos-suprime_ia767</th><th>merr_ap_cosmos-suprime_ia767</th><th>f_cosmos-suprime_ib427</th><th>ferr_cosmos-suprime_ib427</th><th>flag_cosmos-suprime_ib427</th><th>m_ap_cosmos-suprime_ib427</th><th>merr_ap_cosmos-suprime_ib427</th><th>f_cosmos-suprime_ib464</th><th>ferr_cosmos-suprime_ib464</th><th>flag_cosmos-suprime_ib464</th><th>m_ap_cosmos-suprime_ib464</th><th>merr_ap_cosmos-suprime_ib464</th><th>f_cosmos-suprime_ib505</th><th>ferr_cosmos-suprime_ib505</th><th>flag_cosmos-suprime_ib505</th><th>m_ap_cosmos-suprime_ib505</th><th>merr_ap_cosmos-suprime_ib505</th><th>f_cosmos-suprime_ib574</th><th>ferr_cosmos-suprime_ib574</th><th>flag_cosmos-suprime_ib574</th><th>m_ap_cosmos-suprime_ib574</th><th>merr_ap_cosmos-suprime_ib574</th><th>f_cosmos-suprime_ib709</th><th>ferr_cosmos-suprime_ib709</th><th>flag_cosmos-suprime_ib709</th><th>m_ap_cosmos-suprime_ib709</th><th>merr_ap_cosmos-suprime_ib709</th><th>f_cosmos-suprime_ib827</th><th>ferr_cosmos-suprime_ib827</th><th>flag_cosmos-suprime_ib827</th><th>m_ap_cosmos-suprime_ib827</th><th>merr_ap_cosmos-suprime_ib827</th><th>f_cosmos-suprime_nb711</th><th>ferr_cosmos-suprime_nb711</th><th>flag_cosmos-suprime_nb711</th><th>m_ap_cosmos-suprime_nb711</th><th>merr_ap_cosmos-suprime_nb711</th><th>f_cosmos-suprime_nb816</th><th>ferr_cosmos-suprime_nb816</th><th>flag_cosmos-suprime_nb816</th><th>m_ap_cosmos-suprime_nb816</th><th>merr_ap_cosmos-suprime_nb816</th><th>f_cosmos-suprime_g</th><th>ferr_cosmos-suprime_g</th><th>flag_cosmos-suprime_g</th><th>m_ap_cosmos-suprime_g</th><th>merr_ap_cosmos-suprime_g</th><th>f_cosmos-suprime_r</th><th>ferr_cosmos-suprime_r</th><th>flag_cosmos-suprime_r</th><th>m_ap_cosmos-suprime_r</th><th>merr_ap_cosmos-suprime_r</th><th>f_cosmos-suprime_i</th><th>ferr_cosmos-suprime_i</th><th>flag_cosmos-suprime_i</th><th>m_ap_cosmos-suprime_i</th><th>merr_ap_cosmos-suprime_i</th><th>f_cosmos-suprime_z</th><th>ferr_cosmos-suprime_z</th><th>flag_cosmos-suprime_z</th><th>m_ap_cosmos-suprime_z</th><th>merr_ap_cosmos-suprime_z</th><th>f_cosmos-suprime_y</th><th>ferr_cosmos-suprime_y</th><th>flag_cosmos-suprime_y</th><th>m_ap_cosmos-suprime_y</th><th>merr_ap_cosmos-suprime_y</th><th>flag_cosmos-irac_i1</th><th>flag_cosmos-irac_i2</th><th>flag_cosmos-irac_i3</th><th>flag_cosmos-irac_i4</th><th>cosmos_flag_cleaned</th><th>cosmos_flag_gaia</th></tr></thead>\n",
       "<thead><tr><th></th><th>deg</th><th>deg</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th>uJy</th><th>uJy</th><th>mag</th><th>mag</th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><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",
       "<thead><tr><th>int64</th><th>float64</th><th>float64</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>float32</th><th>float32</th><th>bool</th><th>float32</th><th>float32</th><th>bool</th><th>bool</th><th>bool</th><th>bool</th><th>bool</th><th>int64</th></tr></thead>\n",
       "<tr><td>614770</td><td>150.12712712839874</td><td>2.0118699259236537</td><td>nan</td><td>nan</td><td>-4.2025782e-05</td><td>0.062006198</td><td>27.369152</td><td>0.27087548</td><td>0.046777196</td><td>0.02645991</td><td>26.261261</td><td>0.17339441</td><td>0.121111654</td><td>0.04319261</td><td>27.296286</td><td>0.3073566</td><td>0.03656718</td><td>0.030542217</td><td>28.322351</td><td>0.47879407</td><td>0.016600372</td><td>0.011515465</td><td>27.354517</td><td>0.12888457</td><td>0.03944574</td><td>0.006702913</td><td>27.074131</td><td>0.20073341</td><td>0.05774986</td><td>0.018861469</td><td>28.4257</td><td>0.8148879</td><td>0.018636342</td><td>0.01621999</td><td>26.775028</td><td>0.13195015</td><td>0.06665243</td><td>0.012473592</td><td>26.873363</td><td>0.62107253</td><td>0.0651939</td><td>0.05186826</td><td>27.53465</td><td>0.44098842</td><td>0.033706684</td><td>0.0300793</td><td>27.259527</td><td>0.46922582</td><td>0.04556396</td><td>0.027551265</td><td>28.054722</td><td>0.9442334</td><td>0.034011044</td><td>0.030340124</td><td>26.735823</td><td>0.35789204</td><td>0.07206725</td><td>0.031760465</td><td>25.849676</td><td>0.16397053</td><td>0.14896074</td><td>0.05739587</td><td>26.950409</td><td>0.4935903</td><td>0.05999771</td><td>0.036944438</td><td>25.442482</td><td>0.14913538</td><td>0.19957568</td><td>0.063137285</td><td>nan</td><td>nan</td><td>-0.01631868</td><td>0.035360985</td><td>27.470985</td><td>0.61523753</td><td>-0.042321466</td><td>0.059938204</td><td>27.998535</td><td>1.1176656</td><td>0.022702552</td><td>0.035219505</td><td>30.53702</td><td>11.0436535</td><td>0.02570012</td><td>0.04913813</td><td>27.217327</td><td>0.5017957</td><td>0.055721324</td><td>0.043638</td><td>26.36379</td><td>0.2879956</td><td>0.10946659</td><td>0.061557643</td><td>28.553226</td><td>4.377078</td><td>0.029822415</td><td>0.06230505</td><td>26.618841</td><td>0.34664854</td><td>0.040241413</td><td>0.055076182</td><td>27.27767</td><td>0.092218354</td><td>0.043840896</td><td>0.0050187344</td><td>26.861942</td><td>0.079137065</td><td>0.06146218</td><td>0.0060121105</td><td>26.839655</td><td>0.08243156</td><td>0.065134056</td><td>0.006888351</td><td>26.75372</td><td>0.1274583</td><td>0.06625666</td><td>0.01072187</td><td>26.493101</td><td>0.19295873</td><td>0.08761663</td><td>0.021542309</td><td>0.09120187</td><td>0.0034439792</td><td>26.49999</td><td>0.0410097</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1601.9303</td><td>0.040958025</td><td>0.010218435</td><td>False</td><td>27.224915</td><td>0.6141557</td><td>0.11363059</td><td>0.01814705</td><td>False</td><td>26.192032</td><td>0.3872111</td><td>0.04380117</td><td>0.012399493</td><td>False</td><td>27.492271</td><td>0.90684575</td><td>0.0170239</td><td>0.0075072953</td><td>False</td><td>28.349709</td><td>0.75316125</td><td>0.041513864</td><td>0.0049279896</td><td>False</td><td>27.409996</td><td>0.18449634</td><td>0.053746186</td><td>0.009936718</td><td>False</td><td>26.996124</td><td>0.3546083</td><td>0.015478189</td><td>0.011616993</td><td>False</td><td>28.224098</td><td>0.9449618</td><td>0.0707927</td><td>0.008603477</td><td>False</td><td>26.840462</td><td>0.20318884</td><td>0.06466282</td><td>0.036989003</td><td>False</td><td>26.864487</td><td>0.86381155</td><td>0.03516736</td><td>0.014283761</td><td>False</td><td>27.580711</td><td>0.96889335</td><td>0.04530947</td><td>0.019581528</td><td>False</td><td>27.253448</td><td>0.65651464</td><td>0.02178266</td><td>0.018943751</td><td>False</td><td>27.570953</td><td>0.96854925</td><td>0.073395714</td><td>0.024193482</td><td>False</td><td>26.755653</td><td>0.47849035</td><td>0.16600817</td><td>0.025070958</td><td>False</td><td>25.967323</td><td>0.4183436</td><td>0.060233235</td><td>0.027382838</td><td>False</td><td>26.954666</td><td>0.6685574</td><td>0.24155</td><td>0.03317901</td><td>False</td><td>25.649734</td><td>0.3434809</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.3526838</td><td>0.03729114</td><td>0.0211312</td><td>False</td><td>nan</td><td>-1.5376848</td><td>0.02293959</td><td>0.023614202</td><td>False</td><td>28.009811</td><td>1.684352</td><td>0.0022140732</td><td>0.022520624</td><td>False</td><td>27.87516</td><td>2.0759065</td><td>0.04710522</td><td>0.021770662</td><td>False</td><td>27.03495</td><td>0.8502913</td><td>0.10339117</td><td>0.027424896</td><td>False</td><td>26.301796</td><td>0.6105548</td><td>0.013762872</td><td>0.055484165</td><td>False</td><td>27.713646</td><td>2.2683222</td><td>0.08174538</td><td>0.026099263</td><td>False</td><td>27.38832</td><td>1.4859867</td><td>0.044558648</td><td>0.0037846442</td><td>False</td><td>27.295303</td><td>0.12429083</td><td>0.06534656</td><td>0.004762976</td><td>False</td><td>26.928482</td><td>0.106204584</td><td>0.06670182</td><td>0.005064154</td><td>False</td><td>26.865479</td><td>0.11482368</td><td>0.0721958</td><td>0.008475313</td><td>False</td><td>26.846924</td><td>0.17569739</td><td>0.09178242</td><td>0.016311714</td><td>False</td><td>26.543533</td><td>0.26695007</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>808328</td><td>150.01111381735552</td><td>2.192442575241505</td><td>nan</td><td>nan</td><td>-7.143781e-05</td><td>0.087614596</td><td>nan</td><td>nan</td><td>-0.07127027</td><td>0.08438189</td><td>nan</td><td>nan</td><td>-0.111395806</td><td>0.12990746</td><td>27.462246</td><td>1.1039042</td><td>0.038209688</td><td>0.096157275</td><td>30.506142</td><td>2.8353784</td><td>0.0027044278</td><td>0.00981396</td><td>30.890501</td><td>3.5856671</td><td>0.0016562319</td><td>0.0076986663</td><td>nan</td><td>nan</td><td>-0.019764204</td><td>0.020700194</td><td>28.249514</td><td>0.71622545</td><td>0.018439367</td><td>0.01799067</td><td>29.986238</td><td>2.8075683</td><td>0.0036997774</td><td>0.014778378</td><td>26.663425</td><td>0.56441265</td><td>0.0779505</td><td>0.06130095</td><td>27.294128</td><td>0.40441996</td><td>0.05102339</td><td>0.036900688</td><td>nan</td><td>nan</td><td>-0.009666341</td><td>0.029409224</td><td>nan</td><td>nan</td><td>-0.016005708</td><td>0.03265386</td><td>nan</td><td>nan</td><td>-0.0044771293</td><td>0.033755116</td><td>30.779358</td><td>17.647156</td><td>-0.0033784246</td><td>0.070552</td><td>28.288994</td><td>1.8861123</td><td>0.0146745425</td><td>0.04411707</td><td>nan</td><td>nan</td><td>-0.01742132</td><td>0.07212227</td><td>nan</td><td>nan</td><td>-0.07815203</td><td>0.042538907</td><td>nan</td><td>nan</td><td>-0.09575548</td><td>0.068382286</td><td>nan</td><td>nan</td><td>-0.058091007</td><td>0.040105518</td><td>nan</td><td>nan</td><td>-0.058432113</td><td>0.057291064</td><td>nan</td><td>nan</td><td>-0.050253842</td><td>0.051981725</td><td>nan</td><td>nan</td><td>-0.004819991</td><td>0.0690087</td><td>nan</td><td>nan</td><td>-0.040639933</td><td>0.08104649</td><td>nan</td><td>nan</td><td>-0.14550593</td><td>0.058394965</td><td>29.198944</td><td>0.42687657</td><td>0.0077723498</td><td>0.0041762306</td><td>29.141325</td><td>0.55943865</td><td>0.008265613</td><td>0.0055264602</td><td>27.670536</td><td>0.15345885</td><td>0.031305287</td><td>0.006339766</td><td>27.274353</td><td>0.1827472</td><td>0.04527938</td><td>0.010182861</td><td>26.954992</td><td>0.27317044</td><td>0.05998901</td><td>0.021332636</td><td>0.11674149</td><td>0.004735303</td><td>26.231937</td><td>0.044050653</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1331.5963</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2854795</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2661629</td><td>0.037592515</td><td>0.03822156</td><td>False</td><td>27.444572</td><td>2.732329</td><td>0.0022779438</td><td>0.005948805</td><td>False</td><td>30.319817</td><td>3.9399724</td><td>0.0015988188</td><td>0.005280134</td><td>False</td><td>30.852203</td><td>5.0468297</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.1371543</td><td>0.018205151</td><td>0.012009355</td><td>False</td><td>28.235634</td><td>1.0593162</td><td>0.0036770883</td><td>0.009508458</td><td>False</td><td>29.97956</td><td>4.3368607</td><td>0.0784566</td><td>0.040785134</td><td>False</td><td>26.670456</td><td>0.85383224</td><td>0.043888252</td><td>0.016347695</td><td>False</td><td>27.130577</td><td>0.7852165</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-3.3032825</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.2150524</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-8.18586</td><td>0.0017711554</td><td>0.028787706</td><td>False</td><td>nan</td><td>-22.673542</td><td>0.017555064</td><td>0.030496193</td><td>False</td><td>28.48359</td><td>3.264122</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-4.4948235</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.5909768</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.7753616</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.74958265</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.0645341</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.1230671</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-15.544684</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-2.1652377</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.43573153</td><td>0.007593161</td><td>0.0029853869</td><td>False</td><td>29.173622</td><td>0.58338654</td><td>0.008007004</td><td>0.004125705</td><td>False</td><td>29.10682</td><td>0.72593266</td><td>0.031030267</td><td>0.004385844</td><td>False</td><td>27.660957</td><td>0.21987702</td><td>0.044694956</td><td>0.0075228945</td><td>False</td><td>27.260246</td><td>0.24417076</td><td>0.059979483</td><td>0.015090794</td><td>False</td><td>26.954819</td><td>0.38609767</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td></tr>\n",
       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<td>False</td><td>27.096985</td><td>0.23195894</td><td>0.09098536</td><td>0.015966479</td><td>False</td><td>26.714386</td><td>0.3211067</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "<tr><td>636545</td><td>149.89527000388884</td><td>2.032169659077728</td><td>nan</td><td>nan</td><td>-0.00019395928</td><td>0.083872996</td><td>26.702679</td><td>0.48347792</td><td>0.0763428</td><td>0.09072125</td><td>nan</td><td>nan</td><td>-0.115500614</td><td>0.13035387</td><td>26.713774</td><td>0.57128334</td><td>0.07143852</td><td>0.100963496</td><td>28.998621</td><td>0.61302525</td><td>0.009554101</td><td>0.008661237</td><td>30.507349</td><td>2.6825051</td><td>0.0020736456</td><td>0.008347542</td><td>28.258896</td><td>0.6437542</td><td>0.01872871</td><td>0.02216424</td><td>29.068975</td><td>1.5852185</td><td>0.008089044</td><td>0.019053834</td><td>28.255337</td><td>0.52208656</td><td>0.017943779</td><td>0.013781139</td><td>27.88074</td><td>1.5495347</td><td>0.024412137</td><td>0.055857502</td><td>27.900244</td><td>0.6372985</td><td>0.019587431</td><td>0.033873264</td><td>27.42508</td><td>0.46982864</td><td>0.037790827</td><td>0.025824597</td><td>nan</td><td>nan</td><td>-0.036463026</td><td>0.029616915</td><td>28.39777</td><td>1.4167576</td><td>0.0135576865</td><td>0.029698757</td><td>27.975351</td><td>1.1666958</td><td>0.028141564</td><td>0.06282488</td><td>26.644552</td><td>0.38903546</td><td>0.080240816</td><td>0.042174134</td><td>nan</td><td>nan</td><td>-0.04550498</td><td>0.060947597</td><td>26.196058</td><td>0.19919468</td><td>0.11599921</td><td>0.045499634</td><td>26.75749</td><td>0.35855934</td><td>0.07755786</td><td>0.07370379</td><td>nan</td><td>nan</td><td>-0.039827626</td><td>0.040405832</td><td>26.997887</td><td>0.4826205</td><td>0.057872757</td><td>0.061061952</td><td>26.921486</td><td>0.42405412</td><td>0.05784733</td><td>0.052831385</td><td>26.835396</td><td>0.5058835</td><td>0.058268923</td><td>0.076448716</td><td>27.50862</td><td>1.9769434</td><td>0.036203332</td><td>0.080391146</td><td>nan</td><td>nan</td><td>-0.029851928</td><td>0.053058185</td><td>28.098593</td><td>0.17339243</td><td>0.020469328</td><td>0.0047391197</td><td>28.00378</td><td>0.19549079</td><td>0.022923483</td><td>0.00559837</td><td>27.829714</td><td>0.18133064</td><td>0.026932377</td><td>0.0065769157</td><td>28.138016</td><td>0.41350973</td><td>0.019762753</td><td>0.010572526</td><td>27.82892</td><td>0.61693996</td><td>0.026663767</td><td>0.02192837</td><td>0.10443241</td><td>0.0041088574</td><td>26.352911</td><td>0.042728297</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-469.50034</td><td>0.07567078</td><td>0.033696167</td><td>False</td><td>26.693077</td><td>1.2902244</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.2253608</td><td>0.074901454</td><td>0.039411005</td><td>False</td><td>26.765175</td><td>1.5344623</td><td>0.009131691</td><td>0.00515591</td><td>False</td><td>28.949524</td><td>0.9842702</td><td>0.002275414</td><td>0.005621817</td><td>False</td><td>30.608162</td><td>4.370674</td><td>0.01804852</td><td>0.010701319</td><td>False</td><td>28.218735</td><td>1.2848998</td><td>0.008558729</td><td>0.01249609</td><td>False</td><td>29.130257</td><td>2.5574636</td><td>0.01810777</td><td>0.008707292</td><td>False</td><td>28.26522</td><td>0.83386445</td><td>0.025568446</td><td>0.036490627</td><td>False</td><td>27.930984</td><td>2.484277</td><td>0.025113216</td><td>0.014740796</td><td>False</td><td>28.17006</td><td>1.8776034</td><td>0.038901668</td><td>0.016833847</td><td>False</td><td>27.456535</td><td>0.74194455</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-0.8818839</td><td>0.015881516</td><td>0.020723505</td><td>False</td><td>28.569542</td><td>2.3783567</td><td>0.023434691</td><td>0.025182135</td><td>False</td><td>27.776634</td><td>2.423861</td><td>0.07983232</td><td>0.028605113</td><td>False</td><td>26.639015</td><td>0.57065696</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.4541926</td><td>0.12066361</td><td>0.02213756</td><td>False</td><td>26.238861</td><td>0.42587012</td><td>0.07194551</td><td>0.02375967</td><td>False</td><td>26.675941</td><td>1.0317827</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.1014986</td><td>0.057656087</td><td>0.025628703</td><td>False</td><td>26.993813</td><td>1.1455678</td><td>0.061859395</td><td>0.024160318</td><td>False</td><td>26.994293</td><td>0.991592</td><td>0.06696401</td><td>0.031200936</td><td>False</td><td>26.986404</td><td>1.4244837</td><td>0.036020685</td><td>0.06558761</td><td>False</td><td>27.503128</td><td>2.4109266</td><td>nan</td><td>nan</td><td>False</td><td>nan</td><td>-1.9297644</td><td>0.020920055</td><td>0.0033409395</td><td>False</td><td>28.122246</td><td>0.25137287</td><td>0.022829039</td><td>0.0041104523</td><td>False</td><td>27.999298</td><td>0.26515836</td><td>0.026798742</td><td>0.0044757035</td><td>False</td><td>27.824318</td><td>0.26513794</td><td>0.020174062</td><td>0.007683424</td><td>False</td><td>28.160385</td><td>0.5808388</td><td>0.026818316</td><td>0.015238778</td><td>False</td><td>27.835197</td><td>0.892913</td><td>False</td><td>False</td><td>False</td><td>False</td><td>False</td><td>0</td></tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Table length=5>\n",
       "cosmos_id     cosmos_ra      ... cosmos_flag_cleaned cosmos_flag_gaia\n",
       "                 deg         ...                                     \n",
       "  int64        float64       ...         bool             int64      \n",
       "--------- ------------------ ... ------------------- ----------------\n",
       "   614770 150.12712712839874 ...               False                0\n",
       "   808328 150.01111381735552 ...               False                0\n",
       "   760987 149.90293807954586 ...               False                0\n",
       "   588085 149.95693586954434 ...               False                0\n",
       "   636545 149.89527000388884 ...               False                0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catalogue[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "f_cosmos-irac_i1\n",
      "ferr_cosmos-irac_i1\n",
      "m_cosmos-irac_i1\n",
      "merr_cosmos-irac_i1\n",
      "f_cosmos-irac_i2\n",
      "ferr_cosmos-irac_i2\n",
      "m_cosmos-irac_i2\n",
      "merr_cosmos-irac_i2\n",
      "f_cosmos-irac_i3\n",
      "ferr_cosmos-irac_i3\n",
      "m_cosmos-irac_i3\n",
      "merr_cosmos-irac_i3\n",
      "f_cosmos-irac_i4\n",
      "ferr_cosmos-irac_i4\n",
      "m_cosmos-irac_i4\n",
      "merr_cosmos-irac_i4\n",
      "flag_cosmos-irac_i1\n",
      "flag_cosmos-irac_i2\n",
      "flag_cosmos-irac_i3\n",
      "flag_cosmos-irac_i4\n"
     ]
    }
   ],
   "source": [
    "for c in catalogue.colnames:\n",
    "    if 'irac' in c:\n",
    "        print(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "catalogue.write(\"{}/COSMOS2020_HELP.fits\".format(OUT_DIR), overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "language_info": {
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