{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "![HELP-Logo](https://avatars1.githubusercontent.com/u/7880370?s=200&v=4)\n", "\n", "\n", "# DMU 24 - NGP: 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": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "This notebook was executed on: \n", "2018-06-28 14:54:14.562232\n" ] } ], "source": [ "import datetime\n", "print(\"This notebook was executed on: \\n{}\".format(datetime.datetime.now()))" ] }, { "cell_type": "code", "execution_count": 2, "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": 3, "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": 13, "metadata": {}, "outputs": [], "source": [ "FIELD = 'NGP'\n", "ORDER = 10\n", "\n", "OUT_DIR = 'data'\n", "SUFFIX = 'depths_20180501_photoz_20180601'\n", "\n", "DEPTH_MAP = '../../dmu1/dmu1_ml_NGP/data/depths_ngp_20180501.fits'\n", "MASTERLIST = '../../dmu1/dmu1_ml_NGP/data/master_catalogue_ngp_20180501.fits'\n", "PHOTOZS = 'data/master_catalogue_ngp_20180501_photoz_20180601_r_optimised.fits'\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## I - Find clustering of healpix in the depth maps" ] }, { "cell_type": "code", "execution_count": 5, "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": 6, "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": 7, "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": 8, "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": 9, "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": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "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": 11, "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": 14, "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": 15, "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": 16, "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": 17, "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": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "56" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NCLUSTERS # Fixed during the clustering stage above" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 In cluster: 123080 With photo-z: 42902 Fraction: 0.349 \n", "1 In cluster: 250078 With photo-z: 117193 Fraction: 0.469 \n", "2 In cluster: 94836 With photo-z: 32024 Fraction: 0.338 \n", "3 In cluster: 230470 With photo-z: 113265 Fraction: 0.491 \n", "4 In cluster: 211432 With photo-z: 108114 Fraction: 0.511 \n", "5 In cluster: 60962 With photo-z: 29855 Fraction: 0.490 \n", "6 In cluster: 264106 With photo-z: 140117 Fraction: 0.531 \n", "7 In cluster: 91819 With photo-z: 43420 Fraction: 0.473 \n", "8 In cluster: 32218 With photo-z: 13559 Fraction: 0.421 \n", "9 In cluster: 245783 With photo-z: 118098 Fraction: 0.480 \n", "10 In cluster: 20012 With photo-z: 15706 Fraction: 0.785 \n", "11 In cluster: 29007 With photo-z: 14555 Fraction: 0.502 \n", "12 In cluster: 142704 With photo-z: 68694 Fraction: 0.481 \n", "13 In cluster: 161147 With photo-z: 55438 Fraction: 0.344 \n", "14 In cluster: 79884 With photo-z: 28779 Fraction: 0.360 \n", "15 In cluster: 5768 With photo-z: 2778 Fraction: 0.482 \n", "16 In cluster: 20735 With photo-z: 8165 Fraction: 0.394 \n", "17 In cluster: 18893 With photo-z: 11498 Fraction: 0.609 \n", "18 In cluster: 255408 With photo-z: 128763 Fraction: 0.504 \n", "19 In cluster: 90607 With photo-z: 41890 Fraction: 0.462 \n", "20 In cluster: 51418 With photo-z: 27263 Fraction: 0.530 \n", "21 In cluster: 11307 With photo-z: 5698 Fraction: 0.504 \n", "22 In cluster: 159216 With photo-z: 55844 Fraction: 0.351 \n", "23 In cluster: 111115 With photo-z: 49426 Fraction: 0.445 \n", "24 In cluster: 323877 With photo-z: 151954 Fraction: 0.469 \n", "25 In cluster: 54440 With photo-z: 17494 Fraction: 0.321 \n", "26 In cluster: 9476 With photo-z: 4692 Fraction: 0.495 \n", "27 In cluster: 15412 With photo-z: 7429 Fraction: 0.482 \n", "28 In cluster: 98775 With photo-z: 43397 Fraction: 0.439 \n", "29 In cluster: 21538 With photo-z: 9551 Fraction: 0.443 \n", "30 In cluster: 319385 With photo-z: 159367 Fraction: 0.499 \n", "31 In cluster: 287599 With photo-z: 156397 Fraction: 0.544 \n", "32 In cluster: 43865 With photo-z: 19199 Fraction: 0.438 \n", "33 In cluster: 135220 With photo-z: 62101 Fraction: 0.459 \n", "34 In cluster: 27600 With photo-z: 13339 Fraction: 0.483 \n", "35 In cluster: 32918 With photo-z: 10352 Fraction: 0.314 \n", "36 In cluster: 279845 With photo-z: 147838 Fraction: 0.528 \n", "37 In cluster: 70982 With photo-z: 35749 Fraction: 0.504 \n", "38 In cluster: 9993 With photo-z: 5004 Fraction: 0.501 \n", "39 In cluster: 93145 With photo-z: 33319 Fraction: 0.358 \n", "40 In cluster: 232589 With photo-z: 117798 Fraction: 0.506 \n", "41 In cluster: 319355 With photo-z: 112954 Fraction: 0.354 \n", "42 In cluster: 229294 With photo-z: 127126 Fraction: 0.554 \n", "43 In cluster: 50115 With photo-z: 17878 Fraction: 0.357 \n", "44 In cluster: 230041 With photo-z: 111766 Fraction: 0.486 \n", "45 In cluster: 152166 With photo-z: 80611 Fraction: 0.530 \n", "46 In cluster: 51603 With photo-z: 23304 Fraction: 0.452 \n", "47 In cluster: 275450 With photo-z: 139378 Fraction: 0.506 \n", "48 In cluster: 15533 With photo-z: 7361 Fraction: 0.474 \n", "49 In cluster: 21021 With photo-z: 10117 Fraction: 0.481 \n", "50 In cluster: 125600 With photo-z: 53511 Fraction: 0.426 \n", "51 In cluster: 38652 With photo-z: 12743 Fraction: 0.330 \n", "52 In cluster: 2875 With photo-z: 1459 Fraction: 0.507 \n", "53 In cluster: 77580 With photo-z: 37413 Fraction: 0.482 \n", "54 In cluster: 116520 With photo-z: 52927 Fraction: 0.454 \n", "55 In cluster: 235122 With photo-z: 110380 Fraction: 0.469 \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": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "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": 21, "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": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "26 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": 23, "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." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "m_ap_decam_z\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "71e39db93fd04a108e603f82dea9c8de", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatProgress(value=0.0)" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "m_decam_z\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "66b8b11eb6ec4ac9800d4cf4d679b846", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatProgress(value=0.0)" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "m_ap_gpc1_g\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": 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"cab762d0b4c043ceb9a8b4e2ae3c6cd3", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatProgress(value=0.0)" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "m_90prime_g\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e00f67a666e04e598e92d9907df97ebf", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatProgress(value=0.0)" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "m_ap_90prime_r\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d6480c9ce15c4a11a7f358e9af6df159", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatProgress(value=0.0)" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "m_90prime_r\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "8d991af1a7b84edea5aa90ccac03326f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatProgress(value=0.0)" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "m_ap_mosaic_z\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "de821ec0b1494bc08f01dfc99755627a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatProgress(value=0.0)" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "m_mosaic_z\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "8cac5eac690d44e59f14b8f9da9f553e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "FloatProgress(value=0.0)" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "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": 25, "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" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.3" } }, "nbformat": 4, "nbformat_minor": 2 }