{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![HELP-Logo](https://avatars1.githubusercontent.com/u/7880370?s=200&v=4)\n",
    "\n",
    "\n",
    "# DMU 24 - GAMA-09: Photo-z Selection Function\n",
    "\n",
    "The goal is to create a selection function for the photometric redshifts that varies spatially across the field. We will use the depth maps for the optical masterlist to find regions of the field that have similar photometric coverage and then calculate the fraction of sources meeting a given photo-z selection within those pixels.\n",
    "\n",
    "1. For optical depth maps: do clustering analysis to find HEALpix with similar photometric properties.\n",
    "2. Calculate selection function within those groups of similar regions as a function of magnitude in a given band.\n",
    "3. Paramatrise the selection function in such a way that it can be easily applied for a given sample of sources or region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This notebook was executed on: \n",
      "2018-06-28 13:50:11.453022\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "print(\"This notebook was executed on: \\n{}\".format(datetime.datetime.now()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "#%config InlineBackend.figure_format = 'svg'\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rc('figure', figsize=(10, 6))\n",
    "\n",
    "import os\n",
    "import time\n",
    "\n",
    "from astropy import units as u\n",
    "from astropy.coordinates import SkyCoord\n",
    "from astropy.table import Column, Table, join\n",
    "import numpy as np\n",
    "import healpy as hp\n",
    "\n",
    "import warnings\n",
    "#We ignore warnings - this is a little dangerous but a huge number of warnings are generated by empty cells later\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from astropy.io.votable import parse_single_table\n",
    "from astropy.io import fits\n",
    "from astropy.stats import binom_conf_interval\n",
    "from astropy.utils.console import ProgressBar\n",
    "from astropy.modeling.fitting import LevMarLSQFitter\n",
    "\n",
    "from sklearn.cluster import MiniBatchKMeans, MeanShift\n",
    "from collections import Counter\n",
    "\n",
    "from astropy.modeling import Fittable1DModel, Parameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "def coords_to_hpidx(ra, dec, order):\n",
    "    \"\"\"Convert coordinates to HEALPix indexes\n",
    "    Given to list of right ascension and declination, this function computes\n",
    "    the HEALPix index (in nested scheme) at each position, at the given order.\n",
    "    Parameters\n",
    "    ----------\n",
    "    ra: array or list of floats\n",
    "        The right ascensions of the sources.\n",
    "    dec: array or list of floats\n",
    "        The declinations of the sources.\n",
    "    order: int\n",
    "        HEALPix order.\n",
    "    Returns\n",
    "    -------\n",
    "    array of int\n",
    "        The HEALPix index at each position.\n",
    "    \"\"\"\n",
    "    ra, dec = np.array(ra), np.array(dec)\n",
    "\n",
    "    theta = 0.5 * np.pi - np.radians(dec)\n",
    "    phi = np.radians(ra)\n",
    "    healpix_idx = hp.ang2pix(2**order, theta, phi, nest=True)\n",
    "\n",
    "    return healpix_idx\n",
    "\n",
    "class GLF1D(Fittable1DModel):\n",
    "    \"\"\"\n",
    "    Generalised Logistic Function \n",
    "    \"\"\"\n",
    "    inputs = ('x',)\n",
    "    outputs = ('y',)\n",
    "\n",
    "    A = Parameter()\n",
    "    B = Parameter()\n",
    "    K = Parameter()\n",
    "    Q = Parameter()\n",
    "    nu = Parameter()\n",
    "    M = Parameter()\n",
    "    \n",
    "    @staticmethod\n",
    "    def evaluate(x, A, B, K, Q, nu, M):\n",
    "        top = K - A\n",
    "        bottom = (1 + Q*np.exp(-B*(x-M)))**(1/nu)\n",
    "        return A + (top/bottom)\n",
    "\n",
    "    @staticmethod\n",
    "    def fit_deriv(x, A, B, K, Q, nu, M):\n",
    "        d_A = 1 - (1 + (Q*np.exp(-B*(x-M)))**(-1/nu))\n",
    "        \n",
    "        d_B = ((K - A) * (x-M) * (Q*np.exp(-B*(x-M)))) / (nu * ((1 + Q*np.exp(-B*(x-M)))**((1/nu) + 1)))\n",
    "\n",
    "        d_K = 1 + (Q*np.exp(-B*(x-M)))**(-1/nu)\n",
    "        \n",
    "        d_Q = -((K - A) * (Q*np.exp(-B*(x-M)))) / (nu * ((1 + Q*np.exp(-B*(x-M)))**((1/nu) + 1)))\n",
    "        \n",
    "        d_nu = ((K-A) * np.log(1 + (Q*np.exp(-B*(x-M))))) / ((nu**2) * ((1 + Q*np.exp(-B*(x-M)))**((1/nu))))\n",
    "        \n",
    "        d_M = -((K - A) * (Q*B*np.exp(-B*(x-M)))) / (nu * ((1 + Q*np.exp(-B*(x-M)))**((1/nu) + 1)))\n",
    "\n",
    "        return [d_A, d_B, d_K, d_Q, d_nu, d_M]\n",
    "    \n",
    "class InverseGLF1D(Fittable1DModel):\n",
    "    \"\"\"\n",
    "    Generalised Logistic Function \n",
    "    \"\"\"\n",
    "    inputs = ('x',)\n",
    "    outputs = ('y',)\n",
    "\n",
    "    A = Parameter()\n",
    "    B = Parameter()\n",
    "    K = Parameter()\n",
    "    Q = Parameter()\n",
    "    nu = Parameter()\n",
    "    M = Parameter()\n",
    "    \n",
    "    @staticmethod\n",
    "    def evaluate(x, A, B, K, Q, nu, M):\n",
    "        return M - (1/B)*(np.log((((K - A)/(x -A))**nu - 1)/Q))\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0 - Set relevant initial parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "FIELD = 'GAMA-09'\n",
    "ORDER = 10\n",
    "\n",
    "DEPTH_MAP = '../../dmu1/dmu1_ml_GAMA-09/data/depths_gama-09_20180601.fits'\n",
    "MASTERLIST = '../../dmu1/dmu1_ml_GAMA-09/data/master_catalogue_gama-09_20171206.fits'\n",
    "PHOTOZS = 'data/master_catalogue_gama-09_20171206_photoz_20180213_r_optimised.fits'\n",
    "\n",
    "OUT_DIR = 'data'\n",
    "SUFFIX = 'depths_20171016_photoz_20180213'\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## I - Find clustering of healpix in the depth maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "depth_map = Table.read(DEPTH_MAP)\n",
    "\n",
    "# Get Healpix IDs\n",
    "hp_idx = depth_map['hp_idx_O_{0}'.format(ORDER)]\n",
    "\n",
    "# Calculate RA, Dec of depth map Healpix pixels for later plotting etc.\n",
    "dm_hp_ra, dm_hp_dec = hp.pix2ang(2**ORDER, hp_idx, nest=True, lonlat=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The depth map provides two measures of depth:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_values = Table(depth_map.columns[2::2]) # Mean 1-sigma error within a cell\n",
    "p90_values = Table(depth_map.columns[3::2]) # 90th percentile of observed fluxes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the photo-z selection functions we will make use of the mean 1-sigma error as this can be used to accurately predict the completeness as a function of magnitude.\n",
    "\n",
    "We convert the mean 1-sigma uncertainty to a 3-sigma magnitude upper limit and convert to a useable array.\n",
    "When a given flux has no measurement in a healpix (and *ferr_mean* is therefore a *NaN*) we set the depth to some semi-arbitrary bright limit separate from the observed depths:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "dm_clustering = 23.9 - 2.5*np.log10(3*mean_values.to_pandas().as_matrix())\n",
    "dm_clustering[np.isnan(dm_clustering)] = 14\n",
    "dm_clustering[np.isinf(dm_clustering)] = 14\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To encourage the clustering to group nearby Healpix together, we also add the RA and Dec of the healpix to the inpux dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "dm_clustering = np.hstack([dm_clustering, np.array(dm_hp_ra.data, ndmin=2).T, np.array(dm_hp_dec.data, ndmin=2).T])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we find clusters within the depth maps using a simple k-means clustering. For the number of clusters we assume an initial guess on the order of the number of different input magnitdues (/depths) in the dataset. This produces good initial results but may need further tuning:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "NCLUSTERS = dm_clustering.shape[1]*2\n",
    "km = MiniBatchKMeans(n_clusters=NCLUSTERS)\n",
    "\n",
    "km.fit(dm_clustering)\n",
    "\n",
    "counts = Counter(km.labels_) # Quickly calculate sizes of the clusters for reference\n",
    "\n",
    "clusters = dict(zip(hp_idx.data, km.labels_))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below we illustrate the different clusters with each colour corresponding to a different group of similar sources (although the colours may not be unique to a single cluster of sources). You can see structures and patterns within the field, e.g. the outline of the HSC coverage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f82fc47bba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Fig, Ax = plt.subplots(1,1,figsize=(8,8))\n",
    "Ax.scatter(dm_hp_ra, dm_hp_dec, c=km.labels_, cmap=plt.cm.tab20, s=6)\n",
    "\n",
    "Ax.set_xlabel('Right Ascension [deg]')\n",
    "Ax.set_ylabel('Declination [deg]')\n",
    "Ax.set_title('{0}'.format(FIELD))\n",
    "Fig.savefig('plots/dmu24_{0}_sf_hpclusters_illustration.png'.format(FIELD), \n",
    "            format='png', bbox_inches='tight', dpi=150)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## II - Map photo-z and masterlist objects to their corresponding depth cluster\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now load the photometric redshift catalog and keep only the key columns for this selection function.\n",
    "Note: if using a different photo-$z$ measure than the HELP standard `z1_median`, the relevant columns should be retained instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "photoz_catalogue = Table.read(PHOTOZS)\n",
    "\n",
    "photoz_catalogue.keep_columns(['help_id', 'RA', 'DEC', 'id', 'z1_median', 'z1_min', 'z1_max', 'z1_area'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we load the relevant sections of the masterlist catalog (including the magnitude columns) and map the Healpix values to their corresponding cluster. For each of the masterlist/photo-$z$ sources and their corresponding healpix we find the respective cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "masterlist_hdu = fits.open(MASTERLIST, memmap=True)\n",
    "masterlist = masterlist_hdu[1]\n",
    "\n",
    "masterlist_catalogue = Table()\n",
    "masterlist_catalogue['help_id'] = masterlist.data['help_id']\n",
    "masterlist_catalogue['RA'] = masterlist.data['ra']\n",
    "masterlist_catalogue['DEC'] = masterlist.data['dec']\n",
    "\n",
    "for column in masterlist.columns.names:\n",
    "    if (column.startswith('m_') or column.startswith('merr_')):\n",
    "        masterlist_catalogue[column] = masterlist.data[column]\n",
    "\n",
    "masterlist_hpx = coords_to_hpidx(masterlist_catalogue['RA'], masterlist_catalogue['DEC'], ORDER)\n",
    "\n",
    "keys = np.array([*clusters])\n",
    "incl = np.array([hpx in clusters.keys() for hpx in masterlist_hpx])\n",
    "if incl.sum() != len(incl):\n",
    "    notincl = np.where(np.invert(incl))[0]\n",
    "    for i in notincl:\n",
    "        masterlist_hpx[i] = keys[np.argmin(np.abs(masterlist_hpx[i] -keys))]\n",
    "    \n",
    "masterlist_catalogue[\"hp_idx_O_{:d}\".format(ORDER)] = masterlist_hpx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "masterlist_cl_no = np.array([clusters[hpx] for hpx in masterlist_hpx])\n",
    "masterlist_catalogue['hp_depth_cluster'] = masterlist_cl_no"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged = join(masterlist_catalogue, photoz_catalogue, join_type='left', keys=['help_id', 'RA', 'DEC'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Constructing the output selection function table:\n",
    "\n",
    "The photo-$z$ selection function will be saved in a table that mirrors the format of the input optical depth maps, with matching length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "pz_depth_map = Table()\n",
    "pz_depth_map.add_column(depth_map['hp_idx_O_13'])\n",
    "pz_depth_map.add_column(depth_map['hp_idx_O_10'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## III - Creating the binary photo-z selection function\n",
    "\n",
    "With the sources now easily grouped into regions of similar photometric properties, we can calculate the photo-$z$ selection function within each cluster of pixels. To begin with we want to create the most basic set of photo-$z$ selection functions - a map of the fraction of sources in the masterlist in a given region that have a photo-$z$ estimate. We will then create more informative selection function maps that make use of the added information from clustering."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "128"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NCLUSTERS # Fixed during the clustering stage above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 In cluster: 442335 With photo-z: 401967    Fraction: 0.909 \n",
      "1 In cluster: 609557 With photo-z: 561748    Fraction: 0.922 \n",
      "2 In cluster: 118048 With photo-z: 68295     Fraction: 0.579 \n",
      "3 In cluster: 129046 With photo-z: 74736     Fraction: 0.579 \n",
      "4 In cluster: 141322 With photo-z: 74439     Fraction: 0.527 \n",
      "5 In cluster: 108983 With photo-z: 81815     Fraction: 0.751 \n",
      "6 In cluster: 92184  With photo-z: 40311     Fraction: 0.437 \n",
      "7 In cluster: 67982  With photo-z: 32363     Fraction: 0.476 \n",
      "8 In cluster: 215677 With photo-z: 109506    Fraction: 0.508 \n",
      "9 In cluster: 95669  With photo-z: 34631     Fraction: 0.362 \n",
      "10 In cluster: 50687  With photo-z: 35461     Fraction: 0.700 \n",
      "11 In cluster: 30016  With photo-z: 11738     Fraction: 0.391 \n",
      "12 In cluster: 11295  With photo-z: 4651      Fraction: 0.412 \n",
      "13 In cluster: 12591  With photo-z: 8680      Fraction: 0.689 \n",
      "14 In cluster: 241443 With photo-z: 212470    Fraction: 0.880 \n",
      "15 In cluster: 47362  With photo-z: 25701     Fraction: 0.543 \n",
      "16 In cluster: 257061 With photo-z: 138438    Fraction: 0.539 \n",
      "17 In cluster: 35390  With photo-z: 19294     Fraction: 0.545 \n",
      "18 In cluster: 241279 With photo-z: 140857    Fraction: 0.584 \n",
      "19 In cluster: 32393  With photo-z: 28369     Fraction: 0.876 \n",
      "20 In cluster: 148907 With photo-z: 94484     Fraction: 0.635 \n",
      "21 In cluster: 30140  With photo-z: 6364      Fraction: 0.211 \n",
      "22 In cluster: 29432  With photo-z: 24831     Fraction: 0.844 \n",
      "23 In cluster: 102063 With photo-z: 49404     Fraction: 0.484 \n",
      "24 In cluster: 38112  With photo-z: 15284     Fraction: 0.401 \n",
      "25 In cluster: 115776 With photo-z: 101368    Fraction: 0.876 \n",
      "26 In cluster: 26542  With photo-z: 21084     Fraction: 0.794 \n",
      "27 In cluster: 435503 With photo-z: 393693    Fraction: 0.904 \n",
      "28 In cluster: 99746  With photo-z: 50944     Fraction: 0.511 \n",
      "29 In cluster: 29965  With photo-z: 13941     Fraction: 0.465 \n",
      "30 In cluster: 105431 With photo-z: 54858     Fraction: 0.520 \n",
      "31 In cluster: 12932  With photo-z: 6130      Fraction: 0.474 \n",
      "32 In cluster: 9583   With photo-z: 3808      Fraction: 0.397 \n",
      "33 In cluster: 74564  With photo-z: 34443     Fraction: 0.462 \n",
      "34 In cluster: 23548  With photo-z: 20920     Fraction: 0.888 \n",
      "35 In cluster: 16698  With photo-z: 4470      Fraction: 0.268 \n",
      "36 In cluster: 18277  With photo-z: 13573     Fraction: 0.743 \n",
      "37 In cluster: 181672 With photo-z: 124511    Fraction: 0.685 \n",
      "38 In cluster: 191373 With photo-z: 135097    Fraction: 0.706 \n",
      "39 In cluster: 24084  With photo-z: 6646      Fraction: 0.276 \n",
      "40 In cluster: 43334  With photo-z: 21199     Fraction: 0.489 \n",
      "41 In cluster: 67884  With photo-z: 32840     Fraction: 0.484 \n",
      "42 In cluster: 353775 With photo-z: 310657    Fraction: 0.878 \n",
      "43 In cluster: 22939  With photo-z: 8095      Fraction: 0.353 \n",
      "44 In cluster: 44389  With photo-z: 33979     Fraction: 0.765 \n",
      "45 In cluster: 35898  With photo-z: 26191     Fraction: 0.730 \n",
      "46 In cluster: 30587  With photo-z: 16548     Fraction: 0.541 \n",
      "47 In cluster: 11689  With photo-z: 6932      Fraction: 0.593 \n",
      "48 In cluster: 68761  With photo-z: 58441     Fraction: 0.850 \n",
      "49 In cluster: 185813 With photo-z: 85025     Fraction: 0.458 \n",
      "50 In cluster: 26675  With photo-z: 24585     Fraction: 0.922 \n",
      "51 In cluster: 34040  With photo-z: 15760     Fraction: 0.463 \n",
      "52 In cluster: 19794  With photo-z: 10994     Fraction: 0.555 \n",
      "53 In cluster: 26616  With photo-z: 10050     Fraction: 0.378 \n",
      "54 In cluster: 145117 With photo-z: 115601    Fraction: 0.797 \n",
      "55 In cluster: 25946  With photo-z: 8497      Fraction: 0.327 \n",
      "56 In cluster: 344459 With photo-z: 299528    Fraction: 0.870 \n",
      "57 In cluster: 152431 With photo-z: 77640     Fraction: 0.509 \n",
      "58 In cluster: 20016  With photo-z: 9075      Fraction: 0.453 \n",
      "59 In cluster: 10449  With photo-z: 5814      Fraction: 0.556 \n",
      "60 In cluster: 33596  With photo-z: 15438     Fraction: 0.460 \n",
      "61 In cluster: 18663  With photo-z: 16999     Fraction: 0.911 \n",
      "62 In cluster: 167317 With photo-z: 38077     Fraction: 0.228 \n",
      "63 In cluster: 3836   With photo-z: 871       Fraction: 0.227 \n",
      "64 In cluster: 308053 With photo-z: 165835    Fraction: 0.538 \n",
      "65 In cluster: 41614  With photo-z: 18297     Fraction: 0.440 \n",
      "66 In cluster: 34028  With photo-z: 31882     Fraction: 0.937 \n",
      "67 In cluster: 34186  With photo-z: 13783     Fraction: 0.403 \n",
      "68 In cluster: 34899  With photo-z: 15877     Fraction: 0.455 \n",
      "69 In cluster: 47464  With photo-z: 41049     Fraction: 0.865 \n",
      "70 In cluster: 92461  With photo-z: 56467     Fraction: 0.611 \n",
      "71 In cluster: 40378  With photo-z: 21455     Fraction: 0.531 \n",
      "72 In cluster: 107102 With photo-z: 54067     Fraction: 0.505 \n",
      "73 In cluster: 319261 With photo-z: 208948    Fraction: 0.654 \n",
      "74 In cluster: 16788  With photo-z: 14902     Fraction: 0.888 \n",
      "75 In cluster: 125132 With photo-z: 98090     Fraction: 0.784 \n",
      "76 In cluster: 60666  With photo-z: 34505     Fraction: 0.569 \n",
      "77 In cluster: 35315  With photo-z: 11128     Fraction: 0.315 \n",
      "78 In cluster: 12868  With photo-z: 7078      Fraction: 0.550 \n",
      "79 In cluster: 223726 With photo-z: 115781    Fraction: 0.518 \n",
      "80 In cluster: 28689  With photo-z: 6842      Fraction: 0.238 \n",
      "81 In cluster: 75270  With photo-z: 32450     Fraction: 0.431 \n",
      "82 In cluster: 103013 With photo-z: 89845     Fraction: 0.872 \n",
      "83 In cluster: 702250 With photo-z: 584828    Fraction: 0.833 \n",
      "84 In cluster: 53427  With photo-z: 19626     Fraction: 0.367 \n",
      "85 In cluster: 39348  With photo-z: 10650     Fraction: 0.271 \n",
      "86 In cluster: 354589 With photo-z: 285712    Fraction: 0.806 \n",
      "87 In cluster: 62146  With photo-z: 56808     Fraction: 0.914 \n",
      "88 In cluster: 123371 With photo-z: 53510     Fraction: 0.434 \n",
      "89 In cluster: 20788  With photo-z: 11363     Fraction: 0.547 \n",
      "90 In cluster: 34279  With photo-z: 15111     Fraction: 0.441 \n",
      "91 In cluster: 7691   With photo-z: 3440      Fraction: 0.447 \n",
      "92 In cluster: 10964  With photo-z: 5075      Fraction: 0.463 \n",
      "93 In cluster: 70828  With photo-z: 32865     Fraction: 0.464 \n",
      "94 In cluster: 78741  With photo-z: 67867     Fraction: 0.862 \n",
      "95 In cluster: 11157  With photo-z: 10231     Fraction: 0.917 \n",
      "96 In cluster: 6681   With photo-z: 4602      Fraction: 0.689 \n",
      "97 In cluster: 21061  With photo-z: 13561     Fraction: 0.644 \n",
      "98 In cluster: 103131 With photo-z: 91424     Fraction: 0.886 \n",
      "99 In cluster: 271205 With photo-z: 176693    Fraction: 0.652 \n",
      "100 In cluster: 202160 With photo-z: 108123    Fraction: 0.535 \n",
      "101 In cluster: 95766  With photo-z: 43680     Fraction: 0.456 \n",
      "102 In cluster: 80188  With photo-z: 67119     Fraction: 0.837 \n",
      "103 In cluster: 62104  With photo-z: 46817     Fraction: 0.754 \n",
      "104 In cluster: 264756 With photo-z: 235455    Fraction: 0.889 \n",
      "105 In cluster: 5827   With photo-z: 2937      Fraction: 0.504 \n",
      "106 In cluster: 9656   With photo-z: 5413      Fraction: 0.561 \n",
      "107 In cluster: 79655  With photo-z: 62099     Fraction: 0.780 \n",
      "108 In cluster: 35618  With photo-z: 16674     Fraction: 0.468 \n",
      "109 In cluster: 265812 With photo-z: 236082    Fraction: 0.888 \n",
      "110 In cluster: 88557  With photo-z: 77342     Fraction: 0.873 \n",
      "111 In cluster: 73941  With photo-z: 41357     Fraction: 0.559 \n",
      "112 In cluster: 166463 With photo-z: 96082     Fraction: 0.577 \n",
      "113 In cluster: 100253 With photo-z: 82679     Fraction: 0.825 \n",
      "114 In cluster: 334481 With photo-z: 257343    Fraction: 0.769 \n",
      "115 In cluster: 115541 With photo-z: 102982    Fraction: 0.891 \n",
      "116 In cluster: 24159  With photo-z: 20145     Fraction: 0.834 \n",
      "117 In cluster: 68303  With photo-z: 56922     Fraction: 0.833 \n",
      "118 In cluster: 50529  With photo-z: 17747     Fraction: 0.351 \n",
      "119 In cluster: 5851   With photo-z: 2743      Fraction: 0.469 \n",
      "120 In cluster: 56372  With photo-z: 21157     Fraction: 0.375 \n",
      "121 In cluster: 59114  With photo-z: 38522     Fraction: 0.652 \n",
      "122 In cluster: 109970 With photo-z: 63972     Fraction: 0.582 \n",
      "123 In cluster: 85206  With photo-z: 33993     Fraction: 0.399 \n",
      "124 In cluster: 26524  With photo-z: 11055     Fraction: 0.417 \n",
      "125 In cluster: 31113  With photo-z: 14694     Fraction: 0.472 \n",
      "126 In cluster: 98750  With photo-z: 40887     Fraction: 0.414 \n",
      "127 In cluster: 40051  With photo-z: 18047     Fraction: 0.451 \n"
     ]
    }
   ],
   "source": [
    "cluster_photoz_fraction = np.ones(NCLUSTERS)\n",
    "\n",
    "pz_frac_cat = np.zeros(len(merged))\n",
    "pz_frac_map = np.zeros(len(dm_hp_ra))\n",
    "\n",
    "for ic, cluster in enumerate(np.arange(NCLUSTERS)):\n",
    "    ml_sources = (merged['hp_depth_cluster'] == cluster)\n",
    "    has_photoz = (merged['z1_median'] > -90.)\n",
    "    \n",
    "    in_ml = np.float(ml_sources.sum())\n",
    "    withz = np.float((ml_sources*has_photoz).sum())\n",
    "    \n",
    "    if in_ml > 0:\n",
    "        frac = withz / in_ml \n",
    "    else:\n",
    "        frac = 0.\n",
    "    \n",
    "    cluster_photoz_fraction[ic] = frac\n",
    "    print(\"\"\"{0} In cluster: {1:<6.0f} With photo-z: {2:<6.0f}\\\n",
    "    Fraction: {3:<6.3f}\"\"\".format(cluster, in_ml, withz, frac))\n",
    "    \n",
    "    # Map fraction to catalog positions for reference\n",
    "    where_cat = (merged['hp_depth_cluster'] == cluster)\n",
    "    pz_frac_cat[where_cat] = frac\n",
    "    \n",
    "    # Map fraction back to depth map healpix \n",
    "    where_map = (km.labels_ == cluster)\n",
    "    pz_frac_map[where_map] = frac"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The binary photo-$z$ selection function of the field"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f82fc485da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Fig, Ax = plt.subplots(1,1,figsize=(9.5,8))\n",
    "Sc = Ax.scatter(dm_hp_ra, dm_hp_dec, c=pz_frac_map, cmap=plt.cm.viridis, s=6, vmin=0, vmax=1)\n",
    "\n",
    "Ax.set_xlabel('Right Ascension [deg]')\n",
    "Ax.set_ylabel('Declination [deg]')\n",
    "Ax.set_title('{0}'.format(FIELD))\n",
    "CB = Fig.colorbar(Sc)\n",
    "CB.set_label('Fraction with photo-z estimate')\n",
    "Fig.savefig('plots/dmu24_{0}_sf_binary_map.png'.format(FIELD), \n",
    "            format='png', bbox_inches='tight', dpi=150)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add the binary photo-$z$ selection function to output catalog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "pz_depth_map.add_column(Column(name='pz_fraction', data=pz_frac_map))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## IV - Magnitude dependent photo-z selection functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The binary selection function gives a broad illustration of where photo-$z$s are available in the field (given the availability of optical datasets etc.). However, the fraction of sources that have an estimate available will depend on the brightness of a given source in the bands used for photo-$z$s.\n",
    "Furthermore, the quality of those photo-$z$ is also highly dependent on the depth, wavelength coverage and sampling of the optical data in that region.\n",
    "\n",
    "To calculate the likelihood of a given source having a photo-$z$ that passes the defined quality selection or be able to select samples of homogeneous photo-$z$ quality, we therefore need to estimate the magnitude (and spatially) dependent selection function."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining the photo-$z$ quality criteria\n",
    "\n",
    "A key stage in the photo-$z$ estimation methodology is the explicit calibration of the redshift posteriors as a function of magnitude. The benefit of this approach is that by making a cut based on the width of redshift posterior, $P(z)$, we can select sources with a desired estimated redshift precision.\n",
    "Making this cut based on the full $P(z)$ is impractical. However the main photo-$z$ catalog contains information about the width of the primary and secondary peaks above the 80% highest probability density (HPD) credible interval, we can use this information to determine our redshift quality criteria."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parse columns to select the available magnitudes within the masterlist:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "62 magnitude columns present in the masterlist.\n"
     ]
    }
   ],
   "source": [
    "filters = [col for col in merged.colnames if col.startswith('m_')]\n",
    "print('{0} magnitude columns present in the masterlist.'.format(len(filters)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_photoz_error = (0.5*(merged['z1_max']- merged['z1_min'])) / (1 + merged['z1_median'])\n",
    "\n",
    "photoz_quality_cut = (scaled_photoz_error < 0.2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To calculate the magnitude dependent selection function in a given masterlist filter, for each of the Healpix clusters we do the following:\n",
    "1. Find the number of masterlist sources within that cluster that have a measurement in the corresponding filter. (If this is zero - see stage 3B)\n",
    "2. Calculate the fraction of sources at that magnitude that haThis relation typically follows a form of a sigmoid function the declines towards fainter magnitudes - however depending on the selection being applied it may not start at 1. Similarly, the rate of decline and the turnover point depends on the depth of the optical selection properties of that cluster.\n",
    "3. \n",
    "    1. Fit the magnitude dependence using the generalised logistic function (GLF, or Richards' function). Provided with conservative boundary conditions and plausible starting conditions based on easily estimated properties (i.e. the typical magnitude in the cluster and the maximum point), this function is able to describe well almost the full range of measured selection functions.\n",
    "    2. If no masterlist sources in the cluster have an observation in the filter - all parameters set to zero (with the GLF then returning zero for all magnitudes).\n",
    "4. Map the parameters estimated for a given healpix cluster back to the healpix belonging to that cluster."
   ]
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   ],
   "source": [
    "for photometry_band in filters:\n",
    "    print(photometry_band)\n",
    "    \n",
    "    pz_frac_cat = np.zeros(len(merged))\n",
    "    pz_M_map = np.zeros((len(dm_hp_ra),6))\n",
    "\n",
    "    if np.isnan(merged[photometry_band]).sum() < len(merged):\n",
    "        m001, m999 = np.nanpercentile(merged[photometry_band], [0.1, 99.9])\n",
    "\n",
    "\n",
    "        counts, binedges = np.histogram(merged[photometry_band], \n",
    "                                        range=(np.minimum(m001, 17.), np.minimum(m999, 29.)),\n",
    "                                       bins=10)\n",
    "\n",
    "        binmids = 0.5*(binedges[:-1] + binedges[1:])\n",
    "\n",
    "\n",
    "        with ProgressBar(NCLUSTERS, ipython_widget=True) as bar:\n",
    "            for ic, cluster in enumerate(np.arange(NCLUSTERS)[:]):\n",
    "                ml_sources = (merged['hp_depth_cluster'] == cluster)\n",
    "                has_photoz = (merged['z1_median'] > -90.) * photoz_quality_cut\n",
    "                has_mag = (merged[photometry_band] > -90.)\n",
    "\n",
    "                in_ml = np.float(ml_sources.sum())\n",
    "                withz = (has_photoz)\n",
    "\n",
    "                frac = []\n",
    "                frac_upper = []\n",
    "                frac_lower = []\n",
    "\n",
    "                iqr25_mag = (np.nanpercentile(merged[photometry_band][ml_sources*has_photoz], 25))\n",
    "\n",
    "                if (ml_sources*has_photoz*has_mag).sum() > 1:\n",
    "                    for i in np.arange(len(binedges[:-1])):\n",
    "                        mag_cut = np.logical_and(merged[photometry_band] >= binedges[i],\n",
    "                                                 merged[photometry_band] < binedges[i+1])\n",
    "\n",
    "                        if (ml_sources * mag_cut).sum() > 0:\n",
    "                            pass_cut = np.sum(ml_sources * withz * mag_cut)\n",
    "                            total_cut = np.sum(ml_sources * mag_cut)\n",
    "                            frac.append(np.float(pass_cut) / total_cut)\n",
    "\n",
    "                            lower, upper = binom_conf_interval(pass_cut, total_cut)\n",
    "                            frac_lower.append(lower)\n",
    "                            frac_upper.append(upper)\n",
    "\n",
    "                        else:\n",
    "                            frac.append(0.)\n",
    "                            frac_lower.append(0.)\n",
    "                            frac_upper.append(1.)\n",
    "\n",
    "                    frac = np.array(frac)\n",
    "                    frac_upper = np.array(frac_upper)\n",
    "                    frac_lower = np.array(frac_lower)\n",
    "\n",
    "\n",
    "                    model = GLF1D(A=np.median(frac[:5]), K=0., B=0.9, Q=1., nu=0.4, M=iqr25_mag, \n",
    "                                  bounds={'A': (0,1), 'K': (0,1), 'B': (0., 5.),\n",
    "                                          'M': (np.minimum(m001, 17.), np.minimum(m999, 29.)),\n",
    "                                          'Q': (0., 10.),\n",
    "                                          'nu': (0, None)})\n",
    "\n",
    "                    fit = LevMarLSQFitter()\n",
    "                    m = fit(model, x=binmids, y=frac, maxiter=1000,\n",
    "                            weights=1/(0.5*((frac_upper-frac) + (frac-frac_lower))), \n",
    "                            estimate_jacobian=False)\n",
    "                    parameters = np.copy(m.parameters)\n",
    "\n",
    "                else:\n",
    "                    frac = np.zeros(len(binmids))\n",
    "                    frac_upper = np.zeros(len(binmids))\n",
    "                    frac_lower = np.zeros(len(binmids))\n",
    "\n",
    "                    parameters = np.zeros(6)\n",
    "\n",
    "                # Map parameters to cluster\n",
    "\n",
    "                # Map parameters back to depth map healpix \n",
    "                where_map = (km.labels_ == cluster)\n",
    "                pz_M_map[where_map] = parameters\n",
    "\n",
    "                bar.update()\n",
    "        \n",
    "        \n",
    "    else:\n",
    "        pz_M_map = [np.zeros(6)] * len(dm_hp_ra)\n",
    "        \n",
    "    c = Column(data=pz_M_map, name='pz_glf_{0}'.format(photometry_band), shape=(1,6))\n",
    "\n",
    "    try:\n",
    "        pz_depth_map.add_column(c)\n",
    "    except:\n",
    "        pz_depth_map.replace_column('pz_glf_{0}'.format(photometry_band), c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The selection function catalog consists of a set of parameters for the generalised logistic function (GLF, or Richards' function) that can be used to calculate the fraction of masterlist sources that have a photo-$z$ estimate satisfying the quality cut as a function of a given magnitude. e.g.\n",
    "\n",
    "$S = \\rm{GLF}(M_{f}, \\textbf{P}_{\\rm{Healpix}})$,\n",
    "\n",
    "where $S$ is the success fraction for a given magnitude $M_{f}$ in a given filter, $f$, and $\\textbf{P}_{\\rm{Healpix}}$ corresponds to the set of 6 parameters fit for that healpix.\n",
    "\n",
    "\n",
    "In practical terms, using the GLF function defined in this notebook this would be `S = GLF1D(*P)(M)`. Similarly, to estimate the magnitude corresponding to a desired photo-$z$ completeness one can use the same parameters and the corresponding inverse function: `M = InverseGLF1D(*P)(S)`.\n",
    "\n",
    "### Save the photo-$z$ selection function catalog:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "pz_depth_map.write('{0}/photo-z_selection_{1}_{2}.fits'.format(OUT_DIR, FIELD, SUFFIX).lower(), format='fits', overwrite=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ![HELP LOGO](https://avatars1.githubusercontent.com/u/7880370?s=75&v=4)\n",
    " \n",
    "**Author**: [Kenneth Duncan](http://dunkenj.github.io)\n",
    "\n",
    "The Herschel Extragalactic Legacy Project, ([HELP](http://herschel.sussex.ac.uk/)), is a [European Commission Research Executive Agency](https://ec.europa.eu/info/departments/research-executive-agency_en)\n",
    "funded project under the SP1-Cooperation, Collaborative project, Small or medium-scale focused research project, FP7-SPACE-2013-1 scheme, Grant Agreement\n",
    "Number 607254.\n",
    "\n",
    "[Acknowledgements](http://herschel.sussex.ac.uk/acknowledgements)\n",
    "\n"
   ]
  }
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