{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# GAMA-12 master catalogue: Flags" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import numpy as np\n", "from astropy.table import Table\n", "\n", "import itertools\n", "\n", "from herschelhelp_internal.flagging import flag_outliers" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "SUFFIX = \"20180218\"\n", "FIELD = \"GAMA-12\"\n", "catname = \"../../dmu1/dmu1_ml_GAMA-12/data/master_catalogue_gama-12_{}.fits\".format(SUFFIX)\n", "master_catalogue = Table.read(catname)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "u_bands = [ \"KIDS u\"]\n", "g_bands = [\"DECam g\", \"KIDS g\", \"SUPRIME g\", \"GPC1 g\"]\n", "r_bands = [\"DECam r\", \"KIDS r\", \"SUPRIME r\", \"GPC1 r\"]\n", "i_bands = [ \"KIDS i\", \"SUPRIME i\", \"GPC1 i\"]\n", "z_bands = [\"DECam z\", \"SUPRIME z\", \"GPC1 z\", \"VIRCAM Z\"]\n", "y_bands = [ \"SUPRIME y\", \"GPC1 y\", \"VIRCAM Y\", \"WFCAM Y\"]\n", "J_bands = [ \"VIRCAM J\", \"WFCAM J\"]\n", "H_bands = [ \"VIRCAM H\", \"WFCAM H\"]\n", "K_bands = [ \"VIRCAM K\", \"WFCAM K\"]\n", "\n", "all_bands = [u_bands, g_bands, r_bands, i_bands, z_bands, y_bands, J_bands, H_bands, K_bands]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Magnitudes and magnitude erros" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def flag_mag(flagcol, mask):\n", " \n", " # Add flag columns if does not exist\n", " if flagcol not in master_catalogue.colnames:\n", " master_catalogue[flagcol] = np.zeros(len(master_catalogue), dtype=bool)\n", " \n", " # Flagged\n", " master_catalogue[flagcol][mask] = np.ones(len(mask), dtype=bool)\n", " print(' Number of flagged objects:', len(master_catalogue[flagcol][mask]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.a Pan-STARRS Aperture and Total magnitude errors" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "GPC1 g\n", " Aperture magnitude\n", " Number of flagged objects: 555\n", " Total magnitude\n", " Number of flagged objects: 611\n", "GPC1 r\n", " Aperture magnitude\n", " Number of flagged objects: 1042\n", " Total magnitude\n", " Number of flagged objects: 1038\n", "GPC1 i\n", " Aperture magnitude\n", " Number of flagged objects: 980\n", " Total magnitude\n", " Number of flagged objects: 1036\n", "GPC1 z\n", " Aperture magnitude\n", " Number of flagged objects: 781\n", " Total magnitude\n", " Number of flagged objects: 810\n", "GPC1 y\n", " Aperture magnitude\n", " Number of flagged objects: 300\n", " Total magnitude\n", " Number of flagged objects: 295\n" ] } ], "source": [ "## dmu0: Pan-STARRS forced photometry cat \n", "gpc1_err = 0.0010860000038519502\n", "bands = [\"GPC1 g\", \"GPC1 r\", \"GPC1 i\", \"GPC1 z\", \"GPC1 y\"]\n", "\n", "for i, band in enumerate(bands):\n", " print(band)\n", " basecol = band.replace(\" \", \"_\").lower()\n", " \n", " ecol_ap, ecol_tot = \"merr_ap_{}\".format(basecol), \"merr_{}\".format(basecol)\n", " flagcol_ap, flagcol_tot = \"flag_ap_{}\".format(basecol), \"flag_{}\".format(basecol)\n", " \n", " mask_ap = np.where(master_catalogue[ecol_ap] == gpc1_err)[0]\n", " mask_tot = np.where(master_catalogue[ecol_tot] == gpc1_err)[0]\n", " \n", " print(' Aperture magnitude')\n", " flag_mag(flagcol_ap, mask_ap)\n", " print(' Total magnitude')\n", " flag_mag(flagcol_tot, mask_tot)\n", " \n", " master_catalogue[flagcol_tot] = master_catalogue[flagcol_tot] | master_catalogue[flagcol_ap]\n", " master_catalogue.remove_column(flagcol_ap)\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.a DECaLS Total magnitudes" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DECam g\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/opt/anaconda3/envs/herschelhelp_internal/lib/python3.6/site-packages/astropy/table/column.py:965: RuntimeWarning: invalid value encountered in less\n", " return getattr(self.data, op)(other)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " Total magnitude\n", " Number of flagged objects: 126\n", "DECam r\n", " Total magnitude\n", " Number of flagged objects: 115\n", "DECam z\n", " Total magnitude\n", " Number of flagged objects: 1\n" ] } ], "source": [ "decam_mag = 14.999935\n", "bands = [\"DECam g\", \"DECam r\", \"DECam z\"]\n", "\n", "for i, band in enumerate(bands):\n", " print(band)\n", " basecol = band.replace(\" \", \"_\").lower()\n", " \n", " col = \"m_{}\".format(basecol)\n", " flagcol = \"flag_{}\".format(basecol)\n", " \n", " mask = np.where((master_catalogue[col] == decam_mag) | (master_catalogue[col] < 7))[0]\n", " \n", " print(' Total magnitude')\n", " flag_mag(flagcol, mask)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Outliers" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "One of m_ap_decam_g and m_ap_kids_g is not present in the catalogue.\n", "One of m_decam_g and m_kids_g is not present in the catalogue.\n", "SUPRIME g (aperture) - DECam g (aperture):\n", " Number of outliers: 4\n", "No sources have both DECam g (total) and SUPRIME g (total) values.\n", "\n", "GPC1 g (aperture) - DECam g (aperture):\n", " Number of outliers: 1009\n", "GPC1 g (total) - DECam g (total):\n", " Number of outliers: 30\n", "One of m_ap_kids_g and m_ap_suprime_g is not present in the catalogue.\n", "One of m_kids_g and m_suprime_g is not present in the catalogue.\n", "One of m_ap_kids_g and m_ap_gpc1_g is not present in the catalogue.\n", "One of m_kids_g and m_gpc1_g is not present in the catalogue.\n", "GPC1 g (aperture) - SUPRIME g (aperture):\n", " Number of outliers: 0\n", "No sources have both SUPRIME g (total) and GPC1 g (total) values.\n", "\n", "One of m_ap_decam_r and m_ap_kids_r is not present in the catalogue.\n", "One of m_decam_r and m_kids_r is not present in the catalogue.\n", "SUPRIME r (aperture) - DECam r (aperture):\n", " Number of outliers: 0\n", "SUPRIME r (total) - DECam r (total):\n", " Number of outliers: 148\n", "GPC1 r (aperture) - DECam r (aperture):\n", " Number of outliers: 2883\n", "GPC1 r (total) - DECam r (total):\n", " Number of outliers: 12\n", "One of m_ap_kids_r and m_ap_suprime_r is not present in the catalogue.\n", "One of m_kids_r and m_suprime_r is not present in the catalogue.\n", "One of m_ap_kids_r and m_ap_gpc1_r is not present in the catalogue.\n", "One of m_kids_r and m_gpc1_r is not present in the catalogue.\n", "GPC1 r (aperture) - SUPRIME r (aperture):\n", " Number of outliers: 0\n", "GPC1 r (total) - SUPRIME r (total):\n", " Number of outliers: 5\n", "One of m_ap_kids_i and m_ap_suprime_i is not present in the catalogue.\n", "One of m_kids_i and m_suprime_i is not present in the catalogue.\n", "One of m_ap_kids_i and m_ap_gpc1_i is not present in the catalogue.\n", "One of m_kids_i and m_gpc1_i is not present in the catalogue.\n", "GPC1 i (aperture) - SUPRIME i (aperture):\n", " Number of outliers: 0\n", "GPC1 i (total) - SUPRIME i (total):\n", " Number of outliers: 19\n", "SUPRIME z (aperture) - DECam z (aperture):\n", " Number of outliers: 0\n", "SUPRIME z (total) - DECam z (total):\n", " Number of outliers: 4\n", "GPC1 z (aperture) - DECam z (aperture):\n", " Number of outliers: 1607\n", "GPC1 z (total) - DECam z (total):\n", " Number of outliers: 1\n", "One of m_ap_decam_z and m_ap_vircam_z is not present in the catalogue.\n", "One of m_decam_z and m_vircam_z is not present in the catalogue.\n", "GPC1 z (aperture) - SUPRIME z (aperture):\n", " Number of outliers: 0\n", "GPC1 z (total) - SUPRIME z (total):\n", " Number of outliers: 6\n", "One of m_ap_suprime_z and m_ap_vircam_z is not present in the catalogue.\n", "One of m_suprime_z and m_vircam_z is not present in the catalogue.\n", "One of m_ap_gpc1_z and m_ap_vircam_z is not present in the catalogue.\n", "One of m_gpc1_z and m_vircam_z is not present in the catalogue.\n", "GPC1 y (aperture) - SUPRIME y (aperture):\n", " Number of outliers: 0\n", "GPC1 y (total) - SUPRIME y (total):\n", " Number of outliers: 2\n", "One of m_ap_suprime_y and m_ap_vircam_y is not present in the catalogue.\n", "One of m_suprime_y and m_vircam_y is not present in the catalogue.\n", "One of m_ap_suprime_y and m_ap_wfcam_y is not present in the catalogue.\n", "One of m_suprime_y and m_wfcam_y is not present in the catalogue.\n", "One of m_ap_gpc1_y and m_ap_vircam_y is not present in the catalogue.\n", "One of m_gpc1_y and m_vircam_y is not present in the catalogue.\n", "One of m_ap_gpc1_y and m_ap_wfcam_y is not present in the catalogue.\n", "One of m_gpc1_y and m_wfcam_y is not present in the catalogue.\n", "One of m_ap_vircam_y and m_ap_wfcam_y is not present in the catalogue.\n", "One of m_vircam_y and m_wfcam_y is not present in the catalogue.\n", "One of m_ap_vircam_j and m_ap_wfcam_j is not present in the catalogue.\n", "One of m_vircam_j and m_wfcam_j is not present in the catalogue.\n", "One of m_ap_vircam_h and m_ap_wfcam_h is not present in the catalogue.\n", "One of m_vircam_h and m_wfcam_h is not present in the catalogue.\n", "One of m_ap_vircam_k and m_ap_wfcam_k is not present in the catalogue.\n", "One of m_vircam_k and m_wfcam_k is not present in the catalogue.\n" ] } ], "source": [ "for band_of_a_kind in all_bands:\n", " for band1, band2 in itertools.combinations(band_of_a_kind, 2):\n", " #print(band1, band2)\n", "\n", " basecol1, basecol2 = band1.replace(\" \", \"_\").lower(), band2.replace(\" \", \"_\").lower()\n", " \n", " # Aperture mag\n", " col1, col2 = \"m_ap_{}\".format(basecol1), \"m_ap_{}\".format(basecol2)\n", " ecol1, ecol2 = \"merr_ap_{}\".format(basecol1), \"merr_ap_{}\".format(basecol2)\n", " flagcol1, flagcol2 = \"flag_ap_{}\".format(basecol1), \"flag_ap_{}\".format(basecol2)\n", " \n", " try:\n", " master_catalogue = flag_outliers(master_catalogue, col1, col2,\n", " ecol1, ecol2,\n", " flagcol1, flagcol2,\n", " labels=(\"{} (aperture)\".format(band1), \"{} (aperture)\".format(band2)))\n", " \n", " except KeyError:\n", " print(\"One of {} and {} is not present in the catalogue.\".format(col1, col2))\n", " \n", " \n", " \n", " # Tot mag\n", " col1, col2 = \"m_{}\".format(basecol1), \"m_{}\".format(basecol2) \n", " ecol1, ecol2 = \"merr_{}\".format(basecol1), \"merr_{}\".format(basecol2) \n", " flagcol1, flagcol2 = \"flag_{}\".format(basecol1), \"flag_{}\".format(basecol2)\n", " \n", " try:\n", " master_catalogue = flag_outliers(master_catalogue, col1, col2, \n", " ecol1, ecol2,\n", " flagcol1, flagcol2,\n", " labels=(\"{} (total)\".format(band1), \"{} (total)\".format(band2))) \n", " \n", " except KeyError:\n", " print(\"One of {} and {} is not present in the catalogue.\".format(col1, col2)) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Save table" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true }, "outputs": [], "source": [ "#Merge any aperture flags\n", "for col in master_catalogue.colnames:\n", " if col.startswith(\"flag_ap_\"):\n", " try:\n", " master_catalogue[col.replace(\"_ap_\", \"_\")] = (master_catalogue[col.replace(\"_ap_\", \"_\")] |\n", " master_catalogue[col])\n", " master_catalogue.remove_column(col)\n", " except KeyError:\n", " print(\"{} only has aperture flags.\".format(col))\n", " master_catalogue.rename_column(col, col.replace(\"_ap_\", \"_\"))" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": true }, "outputs": [], "source": [ "flag_cols = [\"help_id\"]\n", "for col in master_catalogue.colnames:\n", " if col.startswith(\"flag_\"):\n", " flag_cols += [col]\n", "new_catname = \"./data/{}_{}_flags.fits\".format(FIELD.lower(),SUFFIX)\n", "master_catalogue[flag_cols].write(new_catname, overwrite = True)" ] } ], "metadata": { "kernelspec": { "display_name": "Python (herschelhelp_internal)", "language": "python", "name": "helpint" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 1 }