{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Comparisons with Source Extractor object detection" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Initialization" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import sys\n", "sys.path.append('..')\n", "import descwl" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load Simulations" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "LSST_i = descwl.output.Reader('../LSST_i_trimmed').results" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ "DES_i = descwl.output.Reader('../DES_i_trimmed').results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Match Detected Objects" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [], "source": [ "LSST_i_match = LSST_i.match_sextractor('../LSST_i_noise.cat');" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [], "source": [ "DES_i_match = DES_i.match_sextractor('../DES_i_noise.cat');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analysis" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def completeness(cat,sample,estimator,snr_bins,**options):\n", " all_hist,bins = np.histogram(cat[estimator][sample],bins=snr_bins)\n", " found = np.logical_and(sample,cat['match']>=0)\n", " found_hist,bins = np.histogram(cat[estimator][found],bins=snr_bins)\n", " percent=np.zeros_like(all_hist)\n", " nonzero=(all_hist>0)\n", " percent[nonzero] = 100.*found_hist[nonzero]/all_hist[nonzero]\n", " snr_centers = 0.5*(snr_bins[:-1]+snr_bins[1:])\n", " plt.plot(snr_centers,percent,**options)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def analyze(results,match,isolation_cut=0.98,save=None):\n", " # Expand the tuple returned by match_sextractor()\n", " detected,matched,indices,distance = match\n", " print 'Matched %d of %d detected objects (median sep. = %.3f arcsecs).' % (\n", " np.count_nonzero(matched),len(matched),np.median(distance))\n", " # Lookup the results catalog and survey info.\n", " cat = results.table\n", " survey = results.survey\n", " # Calculate the simulated area in sq.arcmins.\n", " area = survey.image_width*survey.image_height*survey.pixel_scale**2/3600.\n", " print 'Simulated area = %.3f sq.arcmins.' % area\n", " area_wgt = np.empty_like(cat['snr_sky'])\n", " area_wgt[:] = 1/area\n", " # Only use sources with centroids within the area and snr_iso > 0.\n", " bad_snr = (cat['snr_iso']<=0.)\n", " print 'Dropped %d sources with snr_iso = 0 (max. snr_sky = %.3f)' % (\n", " np.count_nonzero(bad_snr),np.max(cat['snr_sky'][bad_snr]))\n", " visible = np.logical_and(np.logical_not(bad_snr),cat['visible']>0)\n", " num_visible = np.count_nonzero(visible)\n", " print 'Found %d visible sources (%.1f/sq.arcmin.)' % (num_visible,num_visible/area)\n", " # Define our 'blended' sample.\n", " blended = np.logical_and(visible,cat['purity'] < isolation_cut)\n", " num_blended = np.count_nonzero(blended)\n", " print 'Found %d blended sources (%.1f/sq.arcmin.) with purity < %.3f = %.1f%% of visible sources' % (\n", " num_blended,num_blended/area,isolation_cut,100.*num_blended/num_visible)\n", " isolated = np.logical_and(visible,np.logical_not(blended))\n", " num_isolated = np.count_nonzero(isolated)\n", " print 'Fraction of visible objects that are isolated is %.2f%%' % (100.*num_isolated/num_visible)\n", " # Calculate sextractor SNR using FLUX_AUTO.\n", " snr_auto = detected['FLUX_AUTO']/detected['FLUXERR_AUTO']\n", " # Initialize figure.\n", " fig = plt.figure(figsize=(15,4))\n", " nrow,ncol = 1,3\n", " #\n", " plt.subplot(nrow,ncol,1)\n", " nbins=80\n", " flo,fhi=0.2,1.8\n", " def ratiohist(cat,sample,snr_auto,estimator,**options):\n", " matched = (cat['match'][sample] >= 0)\n", " print 'Detected fraction is %.2f%%' % (100.* np.count_nonzero(matched)/np.count_nonzero(sample))\n", " ratio = snr_auto[cat['match'][sample][matched]]/cat[estimator][sample][matched]\n", " print 'Median snr_auto/snr_%s = %.3f' % (estimator,np.median(ratio))\n", " plt.hist(ratio,bins=nbins,range=(flo,fhi),weights=area_wgt[sample][matched],**options)\n", " ratiohist(cat,isolated,snr_auto,'snr_grpf',histtype='step',color='black',label='SE/grpf')\n", " ratiohist(cat,isolated,snr_auto,'snr_isof',histtype='step',color='red',label='SE/isof')\n", " ratiohist(cat,isolated,snr_auto,'snr_iso',histtype='step',color='blue',label='SE/iso')\n", " plt.xlim(flo,fhi)\n", " plt.xlabel('Ratio of signal-to-noise estimates')\n", " plt.ylabel('Detected galaxies / sq.arcmin. / bin')\n", " plt.legend()\n", " plt.annotate('(a) Isolated',xy=(0.35,0.9),xycoords='axes fraction',fontsize='large')\n", " #\n", " plt.subplot(nrow,ncol,2)\n", " ratiohist(cat,blended,snr_auto,'snr_grpf',histtype='step',color='black',label='SE/grpf')\n", " ratiohist(cat,blended,snr_auto,'snr_isof',histtype='step',color='red',label='SE/isof')\n", " ratiohist(cat,blended,snr_auto,'snr_iso',histtype='step',color='blue',label='SE/iso')\n", " plt.xlim(flo,fhi)\n", " plt.xlabel('Ratio of signal-to-noise estimates')\n", " plt.ylabel('Detected galaxies / sq.arcmin. / bin')\n", " plt.legend()\n", " plt.annotate('(b) Blended',xy=(0.35,0.9),xycoords='axes fraction',fontsize='large')\n", " #\n", " plt.subplot(nrow,ncol,3)\n", " snr_bins = np.linspace(0.,20.,20)\n", " w = visible\n", " completeness(cat,w,'snr_grpf',snr_bins,color='black',label='grpf')\n", " completeness(cat,w,'snr_isof',snr_bins,color='red',label='isof')\n", " completeness(cat,w,'snr_iso',snr_bins,color='blue',label='iso')\n", " w = isolated\n", " completeness(cat,w,'snr_grpf',snr_bins,color='black',linestyle='dashed')\n", " completeness(cat,w,'snr_isof',snr_bins,color='red',linestyle='dashed')\n", " completeness(cat,w,'snr_iso',snr_bins,color='blue',linestyle='dashed')\n", " w = blended\n", " completeness(cat,w,'snr_grpf',snr_bins,color='black',linestyle='dashdot')\n", " completeness(cat,w,'snr_isof',snr_bins,color='red',linestyle='dashdot')\n", " completeness(cat,w,'snr_iso',snr_bins,color='blue',linestyle='dashdot')\n", " plt.ylim(0,105)\n", " plt.xlabel('Signal-to-noise estimate')\n", " plt.ylabel('Detection rate (%)')\n", " plt.grid()\n", " plt.legend(loc='lower right')\n", " plt.annotate('(c)',xy=(0.1,0.9),xycoords='axes fraction',fontsize='large')\n", " # Finish up.\n", " plt.tight_layout();\n", " if save is not None:\n", " plt.savefig(save+'.pdf')\n", " plt.savefig(save+'.png')" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Matched 13913 of 13913 detected objects (median sep. = 0.055 arcsecs).\n", "Simulated area = 186.414 sq.arcmins.\n", "Dropped 9 sources with snr_iso = 0 (max. snr_sky = 0.130)\n", "Found 44984 visible sources (241.3/sq.arcmin.)\n", "Found 25813 blended sources (138.5/sq.arcmin.) with purity < 0.980 = 57.4% of visible sources\n", "Fraction of visible objects that are isolated is 42.62%\n", "Detected fraction is 41.14%\n", "Median snr_auto/snr_snr_grpf = 0.948\n", "Detected fraction is 41.14%\n", "Median snr_auto/snr_snr_isof = 0.907\n", "Detected fraction is 41.14%\n", "Median snr_auto/snr_snr_iso = 0.576\n", "Detected fraction is 23.25%\n", "Median snr_auto/snr_snr_grpf = 1.838\n", "Detected fraction is 23.25%\n", "Median snr_auto/snr_snr_isof = 1.009\n", "Detected fraction is 23.25%\n", "Median snr_auto/snr_snr_iso = 0.631\n" ] }, { "data": { "image/png": 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MQACXPv6YUgEB2SonISGBs2fPsmnTJubOncuoUaN49tlnadiwIcWLFycgIICh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\nrIdFVBQJhw7xmleoY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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "analyze(LSST_i,LSST_i_match,save='output/snr_detected')" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Matched 4522 of 4522 detected objects (median sep. = 0.077 arcsecs).\n", "Simulated area = 186.434 sq.arcmins.\n", "Dropped 302 sources with snr_iso = 0 (max. snr_sky = 0.165)\n", "Found 44094 visible sources (236.5/sq.arcmin.)\n", "Found 20605 blended sources (110.5/sq.arcmin.) with purity < 0.980 = 46.7% of visible sources\n", "Fraction of visible objects that are isolated is 53.27%\n", "Detected fraction is 12.98%\n", "Median snr_auto/snr_snr_grpf = 1.074\n", "Detected fraction is 12.98%\n", "Median snr_auto/snr_snr_isof = 1.000\n", "Detected fraction is 12.98%\n", "Median snr_auto/snr_snr_iso = 0.624\n", "Detected fraction is 7.11%\n", "Median snr_auto/snr_snr_grpf = 2.334\n", "Detected fraction is 7.11%\n", "Median snr_auto/snr_snr_isof = 1.139\n", "Detected fraction is 7.11%\n", "Median snr_auto/snr_snr_iso = 0.687\n" ] }, { "data": { "image/png": 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PPvkkH3/8MT179sTNzY0pU6bwxBNPZPpFjI+PJz4+Hjc3N0qUKMG6devYsGED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fW9994LxGUyq5cNBr8xeTJs3pxW7tcP7r47ePIEhRde0JPhM0OrVtC7t15fuNB/MhmyPSKSH5gK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\noJR+6NvYtk3HrgoF74vTd92FW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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "analyze(DES_i,DES_i_match)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }