{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# BOOTES 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 = \"20180520\"\n", "FIELD = \"Bootes\"\n", "catname = \"../../dmu1/dmu1_ml_Bootes/data/master_catalogue_bootes_{}.fits\".format(SUFFIX)\n", "master_catalogue = Table.read(catname)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "g_bands = [\"DECAM g\", \"GPC1 g\", \"BASS g\"]\n", "r_bands = [\"DECAM r\", \"GPC1 r\", \"BASS r\", \"MOSAIC r\"]\n", "i_bands = [ \"GPC1 i\", \"MOSAIC i\"]\n", "z_bands = [\"DECAM z\", \"GPC1 z\", \"BASS z\", \"90prime z\"]\n", "y_bands = [ \"GPC1 y\"]\n", "J_bands = [\"NEWFIRM J\", \"WFCAM J\"]\n", "H_bands = [\"NEWFIRM H\"]\n", "K_bands = [\"NEWFIRM K\", \"MOSAIC K\"]\n", "\n", "all_bands = [g_bands, r_bands, i_bands, z_bands, J_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": { "collapsed": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "GPC1 g\n", " Aperture magnitude\n", " Number of flagged objects: 88\n", " Total magnitude\n", " Number of flagged objects: 97\n", "GPC1 r\n", " Aperture magnitude\n", " Number of flagged objects: 167\n", " Total magnitude\n", " Number of flagged objects: 155\n", "GPC1 i\n", " Aperture magnitude\n", " Number of flagged objects: 140\n", " Total magnitude\n", " Number of flagged objects: 142\n", "GPC1 z\n", " Aperture magnitude\n", " Number of flagged objects: 132\n", " Total magnitude\n", " Number of flagged objects: 121\n", "GPC1 y\n", " Aperture magnitude\n", " Number of flagged objects: 51\n", " Total magnitude\n", " Number of flagged objects: 53\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)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.c IRAC Aperture magnitudes" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "IRAC i1\n", " Aperture magnitude\n", " Number of flagged objects: 0\n", "IRAC i2\n", " Aperture magnitude\n", " Number of flagged objects: 0\n", "IRAC i3\n", " Aperture magnitude\n", " Number of flagged objects: 0\n", "IRAC i4\n", " Aperture magnitude\n", " Number of flagged objects: 0\n" ] } ], "source": [ "irac_mag = 3.9000000001085695\n", "bands = [\"IRAC i1\", \"IRAC i2\", \"IRAC i3\", \"IRAC i4\"]\n", "\n", "for i, band in enumerate(bands):\n", " print(band)\n", " basecol = band.replace(\" \", \"_\").lower()\n", " \n", " ecol_ap = \"merr_ap_{}\".format(basecol)\n", " flagcol_ap = \"flag_{}_ap\".format(basecol)\n", " \n", " mask_ap = np.where(master_catalogue[ecol_ap] == irac_mag)[0]\n", " \n", " print(' Aperture magnitude')\n", " flag_mag(flagcol_ap, mask_ap)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Outliers" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Probably no aperture mag on m_ap_decam_g or m_ap_gpc1_g\n", "Probably no aperture mag on m_decam_g or m_gpc1_g\n", "Probably no aperture mag on m_ap_decam_g or m_ap_bass_g\n", "Probably no aperture mag on m_decam_g or m_bass_g\n", "Probably no aperture mag on m_ap_gpc1_g or m_ap_bass_g\n", "Probably no aperture mag on m_gpc1_g or m_bass_g\n", "Probably no aperture mag on m_ap_decam_r or m_ap_gpc1_r\n", "Probably no aperture mag on m_decam_r or m_gpc1_r\n", "Probably no aperture mag on m_ap_decam_r or m_ap_bass_r\n", "Probably no aperture mag on m_decam_r or m_bass_r\n", "Probably no aperture mag on m_ap_decam_r or m_ap_mosaic_r\n", "Probably no aperture mag on m_decam_r or m_mosaic_r\n", "Probably no aperture mag on m_ap_gpc1_r or m_ap_bass_r\n", "Probably no aperture mag on m_gpc1_r or m_bass_r\n", "Probably no aperture mag on m_ap_gpc1_r or m_ap_mosaic_r\n", "Probably no aperture mag on m_gpc1_r or m_mosaic_r\n", "Probably no aperture mag on m_ap_bass_r or m_ap_mosaic_r\n", "Probably no aperture mag on m_bass_r or m_mosaic_r\n", "Probably no aperture mag on m_ap_gpc1_i or m_ap_mosaic_i\n", "Probably no aperture mag on m_gpc1_i or m_mosaic_i\n", "Probably no aperture mag on m_ap_decam_z or m_ap_gpc1_z\n", "Probably no aperture mag on m_decam_z or m_gpc1_z\n", "Probably no aperture mag on m_ap_decam_z or m_ap_bass_z\n", "Probably no aperture mag on m_decam_z or m_bass_z\n", "Probably no aperture mag on m_ap_decam_z or m_ap_90prime_z\n", "Probably no aperture mag on m_decam_z or m_90prime_z\n", "Probably no aperture mag on m_ap_gpc1_z or m_ap_bass_z\n", "Probably no aperture mag on m_gpc1_z or m_bass_z\n", "Probably no aperture mag on m_ap_gpc1_z or m_ap_90prime_z\n", "Probably no aperture mag on m_gpc1_z or m_90prime_z\n", "Probably no aperture mag on m_ap_bass_z or m_ap_90prime_z\n", "Probably no aperture mag on m_bass_z or m_90prime_z\n", "Probably no aperture mag on m_ap_newfirm_j or m_ap_wfcam_j\n", "Probably no aperture mag on m_newfirm_j or m_wfcam_j\n", "Probably no aperture mag on m_ap_newfirm_k or m_ap_mosaic_k\n", "Probably no aperture mag on m_newfirm_k or m_mosaic_k\n" ] } ], "source": [ "for band_of_a_kind in all_bands:\n", " for band1, band2 in itertools.combinations(band_of_a_kind, 2):\n", "\n", " basecol1, basecol2 = band1.replace(\" \", \"_\").lower(), band2.replace(\" \", \"_\").lower()\n", " \n", " # Aperture mag\n", " try:\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", " flag_outliers(master_catalogue[col1], master_catalogue[col2],\n", " master_catalogue[ecol1], master_catalogue[ecol2],\n", " master_catalogue[flagcol1], master_catalogue[flagcol2],\n", " labels=(\"{} (aperture)\".format(band1), \"{} (aperture)\".format(band2)))\n", " except KeyError:\n", " print(\"Probably no aperture mag on {} or {}\".format(col1, col2))\n", " \n", " try:\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", " flag_outliers(master_catalogue[col1], master_catalogue[col2], \n", " master_catalogue[ecol1], master_catalogue[ecol2],\n", " master_catalogue[flagcol1], master_catalogue[flagcol2],\n", " labels=(\"{} (total)\".format(band1), \"{} (total)\".format(band2)))\n", " except KeyError:\n", " print(\"Probably no aperture mag on {} or {}\".format(col1, col2)) \n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Save table" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true }, "outputs": [], "source": [ "\n", "#Merge any aperture flags#Merge \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 }