{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# XMM-LSS Selection Functions\n",
"## Depth maps and selection functions\n",
"\n",
"The simplest selection function available is the field MOC which specifies the area for which there is Herschel data. Each pristine catalogue also has a MOC defining the area for which that data is available.\n",
"\n",
"The next stage is to provide mean flux standard deviations which act as a proxy for the catalogue's 5$\\sigma$ depth"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"This notebook was run with herschelhelp_internal version: \n",
"017bb1e (Mon Jun 18 14:58:59 2018 +0100)\n",
"This notebook was executed on: \n",
"2019-03-28 18:18:50.664830\n"
]
}
],
"source": [
"from herschelhelp_internal import git_version\n",
"print(\"This notebook was run with herschelhelp_internal version: \\n{}\".format(git_version()))\n",
"import datetime\n",
"print(\"This notebook was executed on: \\n{}\".format(datetime.datetime.now()))"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"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",
"from pymoc import MOC\n",
"import healpy as hp\n",
"#import pandas as pd #Astropy has group_by function so apandas isn't required.\n",
"import seaborn as sns\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 herschelhelp_internal.utils import inMoc, coords_to_hpidx, flux_to_mag\n",
"from herschelhelp_internal.masterlist import find_last_ml_suffix, nb_ccplots\n",
"\n",
"from astropy.io.votable import parse_single_table"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"FIELD = 'XMM-LSS'\n",
"#FILTERS_DIR = \"/Users/rs548/GitHub/herschelhelp_python/database_builder/filters/\"\n",
"FILTERS_DIR = \"/opt/herschelhelp_python/database_builder/filters/\""
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Depth maps produced using: master_catalogue_xmm-lss_20190328.fits\n"
]
}
],
"source": [
"TMP_DIR = os.environ.get('TMP_DIR', \"./data_tmp\")\n",
"OUT_DIR = os.environ.get('OUT_DIR', \"./data\")\n",
"SUFFIX = find_last_ml_suffix()\n",
"#SUFFIX = \"20171016\"\n",
"\n",
"master_catalogue_filename = \"master_catalogue_{}_{}.fits\".format(FIELD.lower(), SUFFIX)\n",
"master_catalogue = Table.read(\"{}/{}\".format(OUT_DIR, master_catalogue_filename))\n",
"\n",
"print(\"Depth maps produced using: {}\".format(master_catalogue_filename))\n",
"\n",
"ORDER = 10\n",
"#TODO write code to decide on appropriate order\n",
"\n",
"field_moc = MOC(filename=\"../../dmu2/dmu2_field_coverages/{}_MOC.fits\".format(FIELD))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Remove sources whose signal to noise ratio is less than five as these will have been selected using forced \n",
"# photometry and so the errors will not refelct the RMS of the map \n",
"for n,col in enumerate(master_catalogue.colnames):\n",
" if col.startswith(\"f_\"):\n",
" err_col = \"ferr{}\".format(col[1:])\n",
" errs = master_catalogue[err_col]\n",
" fluxes = master_catalogue[col]\n",
" mask = fluxes/errs < 5.0\n",
" master_catalogue[col][mask] = np.nan\n",
" master_catalogue[err_col][mask] = np.nan"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## I - Group masterlist objects by healpix cell and calculate depths\n",
"We add a column to the masterlist catalogue for the target order healpix cell per object ."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"#Add a column to the catalogue with the order=ORDER hp_idx\n",
"master_catalogue.add_column(Column(data=coords_to_hpidx(master_catalogue['ra'],\n",
" master_catalogue['dec'],\n",
" ORDER), \n",
" name=\"hp_idx_O_{}\".format(str(ORDER))\n",
" )\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"# Convert catalogue to pandas and group by the order=ORDER pixel\n",
"\n",
"group = master_catalogue.group_by([\"hp_idx_O_{}\".format(str(ORDER))])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"#Downgrade the groups from order=ORDER to order=13 and then fill out the appropriate cells\n",
"#hp.pixelfunc.ud_grade([2599293, 2599294], nside_out=hp.order2nside(13))"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## II Create a table of all Order=13 healpix cells in the field and populate it\n",
"We create a table with every order=13 healpix cell in the field MOC. We then calculate the healpix cell at lower order that the order=13 cell is in. We then fill in the depth at every order=13 cell as calculated for the lower order cell that that the order=13 cell is inside."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"depths = Table()\n",
"depths['hp_idx_O_13'] = list(field_moc.flattened(13))"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
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{
"cell_type": "code",
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"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
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"depths.add_column(Column(data=hp.pixelfunc.ang2pix(2**ORDER,\n",
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"cell_type": "code",
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"3 289488213 4523253 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.05909591515438031 1.7005615711212165 0.049636490337672784 1.3905925750732422 0.04015007213405941 1.0576144695281984 0.034671165936049964 0.9397782683372498 0.0768382376871812 3.316337728500366 0.06513481471559097 2.8335974693298356 0.11417454896093923 8.545319747924808 0.09766695448538153 7.652001380920423 0.2775316039721171 13.961907768249516 0.23095126505251284 13.068416500091562 nan nan nan nan 0.23797101727334832 10.228036541325734 0.4123699238620148 14.23588765393685 1.4950955915245845 34.34616219792336 2.9970530962632287 49.93456741146083 0.11333735019397473 3.3859281212373076 0.16334902998469264 7.364942186232674 0.1480570405206986 7.8130480964723485 0.24258184711213923 12.249393565325043 0.5180098539075656 16.826894464671668 0.8651102826445745 28.57463917487135 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.5689751407984314 9.010704273949493 0.5440359433935831 9.228833387592147 1.1840230103973313 18.159315847646234 0.9565397400836635 15.56662320480368 0.7706764825883681 28.233136777270683 1.027860419733495 27.796348195977824 1.0826087364296435 31.50745444709564 1.2965475513820008 32.127820326783315 3.593770676926011 44.526561542989555 4.474877319575848 52.55064290397036 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 5.976187579375876 167.25604248046886 2.462359516808156 84.78655624389648 nan nan nan nan nan nan nan nan nan nan nan nan \n",
"4 289488214 4523253 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.05909591515438031 1.7005615711212165 0.049636490337672784 1.3905925750732422 0.04015007213405941 1.0576144695281984 0.034671165936049964 0.9397782683372498 0.0768382376871812 3.316337728500366 0.06513481471559097 2.8335974693298356 0.11417454896093923 8.545319747924808 0.09766695448538153 7.652001380920423 0.2775316039721171 13.961907768249516 0.23095126505251284 13.068416500091562 nan nan nan nan 0.23797101727334832 10.228036541325734 0.4123699238620148 14.23588765393685 1.4950955915245845 34.34616219792336 2.9970530962632287 49.93456741146083 0.11333735019397473 3.3859281212373076 0.16334902998469264 7.364942186232674 0.1480570405206986 7.8130480964723485 0.24258184711213923 12.249393565325043 0.5180098539075656 16.826894464671668 0.8651102826445745 28.57463917487135 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.5689751407984314 9.010704273949493 0.5440359433935831 9.228833387592147 1.1840230103973313 18.159315847646234 0.9565397400836635 15.56662320480368 0.7706764825883681 28.233136777270683 1.027860419733495 27.796348195977824 1.0826087364296435 31.50745444709564 1.2965475513820008 32.127820326783315 3.593770676926011 44.526561542989555 4.474877319575848 52.55064290397036 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 5.976187579375876 167.25604248046886 2.462359516808156 84.78655624389648 nan nan nan nan nan nan nan nan nan nan nan nan \n",
"5 289488215 4523253 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.05909591515438031 1.7005615711212165 0.049636490337672784 1.3905925750732422 0.04015007213405941 1.0576144695281984 0.034671165936049964 0.9397782683372498 0.0768382376871812 3.316337728500366 0.06513481471559097 2.8335974693298356 0.11417454896093923 8.545319747924808 0.09766695448538153 7.652001380920423 0.2775316039721171 13.961907768249516 0.23095126505251284 13.068416500091562 nan nan nan nan 0.23797101727334832 10.228036541325734 0.4123699238620148 14.23588765393685 1.4950955915245845 34.34616219792336 2.9970530962632287 49.93456741146083 0.11333735019397473 3.3859281212373076 0.16334902998469264 7.364942186232674 0.1480570405206986 7.8130480964723485 0.24258184711213923 12.249393565325043 0.5180098539075656 16.826894464671668 0.8651102826445745 28.57463917487135 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.5689751407984314 9.010704273949493 0.5440359433935831 9.228833387592147 1.1840230103973313 18.159315847646234 0.9565397400836635 15.56662320480368 0.7706764825883681 28.233136777270683 1.027860419733495 27.796348195977824 1.0826087364296435 31.50745444709564 1.2965475513820008 32.127820326783315 3.593770676926011 44.526561542989555 4.474877319575848 52.55064290397036 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 5.976187579375876 167.25604248046886 2.462359516808156 84.78655624389648 nan nan nan nan nan nan nan nan nan nan nan nan \n",
"6 289488220 4523253 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.05909591515438031 1.7005615711212165 0.049636490337672784 1.3905925750732422 0.04015007213405941 1.0576144695281984 0.034671165936049964 0.9397782683372498 0.0768382376871812 3.316337728500366 0.06513481471559097 2.8335974693298356 0.11417454896093923 8.545319747924808 0.09766695448538153 7.652001380920423 0.2775316039721171 13.961907768249516 0.23095126505251284 13.068416500091562 nan nan nan nan 0.23797101727334832 10.228036541325734 0.4123699238620148 14.23588765393685 1.4950955915245845 34.34616219792336 2.9970530962632287 49.93456741146083 0.11333735019397473 3.3859281212373076 0.16334902998469264 7.364942186232674 0.1480570405206986 7.8130480964723485 0.24258184711213923 12.249393565325043 0.5180098539075656 16.826894464671668 0.8651102826445745 28.57463917487135 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.5689751407984314 9.010704273949493 0.5440359433935831 9.228833387592147 1.1840230103973313 18.159315847646234 0.9565397400836635 15.56662320480368 0.7706764825883681 28.233136777270683 1.027860419733495 27.796348195977824 1.0826087364296435 31.50745444709564 1.2965475513820008 32.127820326783315 3.593770676926011 44.526561542989555 4.474877319575848 52.55064290397036 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 5.976187579375876 167.25604248046886 2.462359516808156 84.78655624389648 nan nan nan nan nan nan nan nan nan nan nan nan \n",
"7 289488221 4523253 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.05909591515438031 1.7005615711212165 0.049636490337672784 1.3905925750732422 0.04015007213405941 1.0576144695281984 0.034671165936049964 0.9397782683372498 0.0768382376871812 3.316337728500366 0.06513481471559097 2.8335974693298356 0.11417454896093923 8.545319747924808 0.09766695448538153 7.652001380920423 0.2775316039721171 13.961907768249516 0.23095126505251284 13.068416500091562 nan nan nan nan 0.23797101727334832 10.228036541325734 0.4123699238620148 14.23588765393685 1.4950955915245845 34.34616219792336 2.9970530962632287 49.93456741146083 0.11333735019397473 3.3859281212373076 0.16334902998469264 7.364942186232674 0.1480570405206986 7.8130480964723485 0.24258184711213923 12.249393565325043 0.5180098539075656 16.826894464671668 0.8651102826445745 28.57463917487135 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.5689751407984314 9.010704273949493 0.5440359433935831 9.228833387592147 1.1840230103973313 18.159315847646234 0.9565397400836635 15.56662320480368 0.7706764825883681 28.233136777270683 1.027860419733495 27.796348195977824 1.0826087364296435 31.50745444709564 1.2965475513820008 32.127820326783315 3.593770676926011 44.526561542989555 4.474877319575848 52.55064290397036 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 5.976187579375876 167.25604248046886 2.462359516808156 84.78655624389648 nan nan nan nan nan nan nan nan nan nan nan nan \n",
"8 289488222 4523253 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.05909591515438031 1.7005615711212165 0.049636490337672784 1.3905925750732422 0.04015007213405941 1.0576144695281984 0.034671165936049964 0.9397782683372498 0.0768382376871812 3.316337728500366 0.06513481471559097 2.8335974693298356 0.11417454896093923 8.545319747924808 0.09766695448538153 7.652001380920423 0.2775316039721171 13.961907768249516 0.23095126505251284 13.068416500091562 nan nan nan nan 0.23797101727334832 10.228036541325734 0.4123699238620148 14.23588765393685 1.4950955915245845 34.34616219792336 2.9970530962632287 49.93456741146083 0.11333735019397473 3.3859281212373076 0.16334902998469264 7.364942186232674 0.1480570405206986 7.8130480964723485 0.24258184711213923 12.249393565325043 0.5180098539075656 16.826894464671668 0.8651102826445745 28.57463917487135 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.5689751407984314 9.010704273949493 0.5440359433935831 9.228833387592147 1.1840230103973313 18.159315847646234 0.9565397400836635 15.56662320480368 0.7706764825883681 28.233136777270683 1.027860419733495 27.796348195977824 1.0826087364296435 31.50745444709564 1.2965475513820008 32.127820326783315 3.593770676926011 44.526561542989555 4.474877319575848 52.55064290397036 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 5.976187579375876 167.25604248046886 2.462359516808156 84.78655624389648 nan nan nan nan nan nan nan nan nan nan nan nan \n",
"9 289488223 4523253 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.05909591515438031 1.7005615711212165 0.049636490337672784 1.3905925750732422 0.04015007213405941 1.0576144695281984 0.034671165936049964 0.9397782683372498 0.0768382376871812 3.316337728500366 0.06513481471559097 2.8335974693298356 0.11417454896093923 8.545319747924808 0.09766695448538153 7.652001380920423 0.2775316039721171 13.961907768249516 0.23095126505251284 13.068416500091562 nan nan nan nan 0.23797101727334832 10.228036541325734 0.4123699238620148 14.23588765393685 1.4950955915245845 34.34616219792336 2.9970530962632287 49.93456741146083 0.11333735019397473 3.3859281212373076 0.16334902998469264 7.364942186232674 0.1480570405206986 7.8130480964723485 0.24258184711213923 12.249393565325043 0.5180098539075656 16.826894464671668 0.8651102826445745 28.57463917487135 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 0.5689751407984314 9.010704273949493 0.5440359433935831 9.228833387592147 1.1840230103973313 18.159315847646234 0.9565397400836635 15.56662320480368 0.7706764825883681 28.233136777270683 1.027860419733495 27.796348195977824 1.0826087364296435 31.50745444709564 1.2965475513820008 32.127820326783315 3.593770676926011 44.526561542989555 4.474877319575848 52.55064290397036 nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 5.976187579375876 167.25604248046886 2.462359516808156 84.78655624389648 nan nan nan nan nan nan nan nan nan nan nan nan \n",
"
\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"for col in master_catalogue.colnames:\n",
" if col.startswith(\"f_\"):\n",
" errcol = \"ferr{}\".format(col[1:])\n",
" depths = join(depths, \n",
" group[\"hp_idx_O_{}\".format(str(ORDER)), errcol].groups.aggregate(np.nanmean),\n",
" join_type='left')\n",
" depths[errcol].name = errcol + \"_mean\"\n",
" depths = join(depths, \n",
" group[\"hp_idx_O_{}\".format(str(ORDER)), col].groups.aggregate(lambda x: np.nanpercentile(x, 90.)),\n",
" join_type='left')\n",
" depths[col].name = col + \"_p90\"\n",
"\n",
"depths[:10].show_in_notebook()"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## III - Save the depth map table"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"depths.write(\"{}/depths_{}_{}.fits\".format(OUT_DIR, FIELD.lower(), SUFFIX), overwrite=True)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## IV - Overview plots\n",
"\n",
"### IV.a - Filters\n",
"First we simply plot all the filters available on this field to give an overview of coverage."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"{'acs_f606w',\n",
" 'acs_f814w',\n",
" 'decam_g',\n",
" 'decam_i',\n",
" 'decam_r',\n",
" 'decam_y',\n",
" 'decam_z',\n",
" 'gpc1_g',\n",
" 'gpc1_i',\n",
" 'gpc1_r',\n",
" 'gpc1_y',\n",
" 'gpc1_z',\n",
" 'hawki_k',\n",
" 'irac_i1',\n",
" 'irac_i2',\n",
" 'irac_i3',\n",
" 'irac_i4',\n",
" 'megacam_g',\n",
" 'megacam_i',\n",
" 'megacam_r',\n",
" 'megacam_u',\n",
" 'megacam_y',\n",
" 'megacam_z',\n",
" 'suprime_b',\n",
" 'suprime_g',\n",
" 'suprime_i',\n",
" 'suprime_ip',\n",
" 'suprime_n816',\n",
" 'suprime_n921',\n",
" 'suprime_r',\n",
" 'suprime_rc',\n",
" 'suprime_v',\n",
" 'suprime_y',\n",
" 'suprime_z',\n",
" 'suprime_zp',\n",
" 'ukidss_h',\n",
" 'ukidss_j',\n",
" 'ukidss_k',\n",
" 'vista_h',\n",
" 'vista_j',\n",
" 'vista_ks',\n",
" 'vista_y',\n",
" 'vista_z',\n",
" 'wfc3_f125w',\n",
" 'wfc3_f160w',\n",
" 'wircam_h',\n",
" 'wircam_j',\n",
" 'wircam_ks'}"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tot_bands = [column[2:] for column in master_catalogue.colnames \n",
" if (column.startswith('f_') & ~column.startswith('f_ap_'))]\n",
"ap_bands = [column[5:] for column in master_catalogue.colnames \n",
" if column.startswith('f_ap_') ]\n",
"bands = set(tot_bands) | set(ap_bands)\n",
"bands"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Passbands on XMM-LSS')"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for b in bands:\n",
" plt.plot(Table(data = parse_single_table(FILTERS_DIR + b + '.xml').array.data)['Wavelength']\n",
" ,Table(data = parse_single_table(FILTERS_DIR + b + '.xml').array.data)['Transmission']\n",
" , label=b)\n",
"plt.xlabel('Wavelength ($\\AA$)')\n",
"plt.ylabel('Transmission')\n",
"plt.xscale('log')\n",
"plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
"plt.title('Passbands on {}'.format(FIELD))"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"### IV.a - Depth overview\n",
"Then we plot the mean depths available across the area a given band is available"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"acs_f606w: mean flux error: 0.04093589546915328, 3sigma in AB mag (Aperture): 26.176936125742067\n",
"acs_f814w: mean flux error: 0.043619072318638874, 3sigma in AB mag (Aperture): 26.10800580106045\n",
"wfc3_f125w: mean flux error: 0.059057855026990166, 3sigma in AB mag (Aperture): 25.77900268969875\n",
"wfc3_f160w: mean flux error: 0.05577457264748831, 3sigma in AB mag (Aperture): 25.841106234840673\n",
"wircam_j: mean flux error: 0.13251003035335013, 3sigma in AB mag (Aperture): 24.901574979552002\n",
"wircam_h: mean flux error: 0.18546431980940958, 3sigma in AB mag (Aperture): 24.53654593547072\n",
"wircam_ks: mean flux error: 0.17674238556686198, 3sigma in AB mag (Aperture): 24.588845081816736\n",
"suprime_b: mean flux error: 0.002841225107034508, 3sigma in AB mag (Aperture): 29.0734327538407\n",
"suprime_v: mean flux error: 0.004136887863252761, 3sigma in AB mag (Aperture): 28.66551249112316\n",
"suprime_rc: mean flux error: 0.004685794427050425, 3sigma in AB mag (Aperture): 28.53023878440721\n",
"suprime_ip: mean flux error: 0.004958852594013833, 3sigma in AB mag (Aperture): 28.468743866398192\n",
"suprime_zp: mean flux error: 0.012426127016805377, 3sigma in AB mag (Aperture): 27.471357391823695\n",
"megacam_u: mean flux error: 0.046726668626524887, 3sigma in AB mag (Aperture): 26.033284815342107\n",
"megacam_g: mean flux error: 0.032994146955252046, 3sigma in AB mag (Aperture): 26.41110460217954\n",
"megacam_r: mean flux error: 0.05919633791010598, 3sigma in AB mag (Aperture): 25.776459761707166\n",
"megacam_i: mean flux error: 0.09899490230247268, 3sigma in AB mag (Aperture): 25.218164784760184\n",
"megacam_z: mean flux error: 0.18000593006984678, 3sigma in AB mag (Aperture): 24.568979831634387\n",
"megacam_y: mean flux error: 0.026470985673568252, 3sigma in AB mag (Aperture): 26.65027158072366\n",
"decam_i: mean flux error: 0.24070853582479343, 3sigma in AB mag (Aperture): 24.2534681352711\n",
"decam_y: mean flux error: 1.5436918983141197, 3sigma in AB mag (Aperture): 22.235795301009595\n",
"decam_g: mean flux error: 0.125987612194967, 3sigma in AB mag (Aperture): 24.956377250800863\n",
"decam_r: mean flux error: 0.15468473070430763, 3sigma in AB mag (Aperture): 24.733578249252197\n",
"decam_z: mean flux error: 0.4851429680399037, 3sigma in AB mag (Aperture): 23.492522511122225\n",
"irac_i3: mean flux error: 6.533950860962646, 3sigma in AB mag (Aperture): 20.669257203177146\n",
"irac_i4: mean flux error: 6.756693944530274, 3sigma in AB mag (Aperture): 20.6328612449664\n",
"irac_i1: mean flux error: 0.7441402274234489, 3sigma in AB mag (Aperture): 23.02805990653443\n",
"irac_i2: mean flux error: 0.9474448982253647, 3sigma in AB mag (Aperture): 22.765811959324914\n",
"suprime_n921: mean flux error: 0.07851247051783186, 3sigma in AB mag (Aperture): 25.469850254874565\n",
"suprime_n816: mean flux error: 0.07032603935659414, 3sigma in AB mag (Aperture): 25.58940646476939\n",
"suprime_g: mean flux error: 0.020013974963499416, 3sigma in AB mag (Aperture): 26.953863482780726\n",
"suprime_r: mean flux error: 0.03245143632430103, 3sigma in AB mag (Aperture): 26.42911205381801\n",
"suprime_i: mean flux error: 0.03891475087399211, 3sigma in AB mag (Aperture): 26.23191122692605\n",
"suprime_z: mean flux error: 0.08836325572493814, 3sigma in AB mag (Aperture): 25.341517590751046\n",
"suprime_y: mean flux error: 0.17261320407460468, 3sigma in AB mag (Aperture): 24.61451182801178\n",
"gpc1_g: mean flux error: 2777.9490114836726, 3sigma in AB mag (Aperture): 14.097886187913652\n",
"gpc1_r: mean flux error: 1044.161935465916, 3sigma in AB mag (Aperture): 15.160277220401248\n",
"gpc1_i: mean flux error: 9970.641259531723, 3sigma in AB mag (Aperture): 12.710389136298282\n",
"gpc1_z: mean flux error: 26358.862953769934, 3sigma in AB mag (Aperture): 11.654880182951494\n",
"gpc1_y: mean flux error: 160913.39332662133, 3sigma in AB mag (Aperture): 9.690716379961188\n",
"ukidss_j: mean flux error: 0.5753984614159402, 3sigma in AB mag (Aperture): 23.30727512251051\n",
"ukidss_k: mean flux error: 0.5513505620518676, 3sigma in AB mag (Aperture): 23.35362730911489\n",
"ukidss_h: mean flux error: 0.09917776804682604, 3sigma in AB mag (Aperture): 25.21616103706625\n",
"vista_y: mean flux error: 0.47253391402054945, 3sigma in AB mag (Aperture): 23.52111440440283\n",
"vista_j: mean flux error: 2.407156111019516, 3sigma in AB mag (Aperture): 21.753436222104206\n",
"vista_h: mean flux error: 3.32830564256682, 3sigma in AB mag (Aperture): 21.40163886003061\n",
"vista_ks: mean flux error: 4.089999971833108, 3sigma in AB mag (Aperture): 21.177888600659706\n",
"vista_z: mean flux error: 0.38069072009101573, 3sigma in AB mag (Aperture): 23.755766137295645\n",
"acs_f606w: mean flux error: 0.028367095665169855, 3sigma in AB mag (Total): 26.575159679964152\n",
"acs_f814w: mean flux error: 0.029474291896996543, 3sigma in AB mag (Total): 26.533588412660983\n",
"wfc3_f125w: mean flux error: 0.040495029279114775, 3sigma in AB mag (Total): 26.188692569925813\n",
"wfc3_f160w: mean flux error: 0.039966252217020014, 3sigma in AB mag (Total): 26.202963301268376\n",
"suprime_b: mean flux error: 0.004088874705214458, 3sigma in AB mag (Total): 28.67818735635992\n",
"suprime_v: mean flux error: 0.005471168989487065, 3sigma in AB mag (Total): 28.361996540309313\n",
"suprime_rc: mean flux error: 0.006521094721561376, 3sigma in AB mag (Total): 28.17139559180631\n",
"suprime_ip: mean flux error: 0.0069506207571840145, 3sigma in AB mag (Total): 28.1021378807253\n",
"suprime_zp: mean flux error: 0.01557021540442524, 3sigma in AB mag (Total): 27.226460311179046\n",
"hawki_k: mean flux error: 0.08759597618701408, 3sigma in AB mag (Total): 25.350986471065816\n",
"wircam_j: mean flux error: 0.24300780095950272, 3sigma in AB mag (Total): 24.24314632468566\n",
"wircam_h: mean flux error: 0.336572317437064, 3sigma in AB mag (Total): 23.88950088058622\n",
"wircam_ks: mean flux error: 0.8457185098203486, 3sigma in AB mag (Total): 22.889132273494376\n",
"megacam_u: mean flux error: 0.06654493557745214, 3sigma in AB mag (Total): 25.649409340813826\n",
"megacam_g: mean flux error: 0.049313129356418565, 3sigma in AB mag (Total): 25.974790455073098\n",
"megacam_r: mean flux error: 0.08898383478703616, 3sigma in AB mag (Total): 25.3339190685109\n",
"megacam_i: mean flux error: 0.14719011851761557, 3sigma in AB mag (Total): 24.78750022571959\n",
"megacam_z: mean flux error: 0.26022351204833993, 3sigma in AB mag (Total): 24.16883052837546\n",
"megacam_y: mean flux error: 0.07490813370194291, 3sigma in AB mag (Total): 25.520874420751746\n",
"decam_i: mean flux error: 0.4437735219766098, 3sigma in AB mag (Total): 23.58929339765475\n",
"decam_y: mean flux error: 3.041382631432165, 3sigma in AB mag (Total): 21.499519209530696\n",
"decam_g: mean flux error: 0.1885104364642394, 3sigma in AB mag (Total): 24.51885836579377\n",
"decam_r: mean flux error: 0.2815554336230753, 3sigma in AB mag (Total): 24.08328708062745\n",
"decam_z: mean flux error: 0.9372569923525637, 3sigma in AB mag (Total): 22.777550140363353\n",
"irac_i3: mean flux error: 6.529426313597986, 3sigma in AB mag (Total): 20.67000930043573\n",
"irac_i4: mean flux error: 7.358158917014533, 3sigma in AB mag (Total): 20.540273955143554\n",
"irac_i1: mean flux error: 0.9097841759232886, 3sigma in AB mag (Total): 22.8098509162509\n",
"irac_i2: mean flux error: 1.158058474458567, 3sigma in AB mag (Total): 22.547870640686178\n",
"suprime_n921: mean flux error: 0.15238499885143214, 3sigma in AB mag (Total): 24.74984132293445\n",
"suprime_n816: mean flux error: 1.6203289600838149, 3sigma in AB mag (Total): 22.183188877699415\n",
"suprime_g: mean flux error: 0.035530969036225823, 3sigma in AB mag (Total): 26.330679232786927\n",
"suprime_r: mean flux error: 0.05676426634932694, 3sigma in AB mag (Total): 25.822009290249788\n",
"suprime_i: mean flux error: 0.0729008303078571, 3sigma in AB mag (Total): 25.55036567628563\n",
"suprime_z: mean flux error: 0.16116133388174916, 3sigma in AB mag (Total): 24.689044730075203\n",
"suprime_y: mean flux error: 0.33617390174811146, 3sigma in AB mag (Total): 23.890786876334026\n",
"gpc1_g: mean flux error: 503.5296392571784, 3sigma in AB mag (Total): 15.952134264422703\n",
"gpc1_r: mean flux error: 261.53854867409274, 3sigma in AB mag (Total): 16.663357589632348\n",
"gpc1_i: mean flux error: 4485.973165067917, 3sigma in AB mag (Total): 13.577555184899445\n",
"gpc1_z: mean flux error: 11302.238554796633, 3sigma in AB mag (Total): 12.574285689069363\n",
"gpc1_y: mean flux error: 163773.4166689624, 3sigma in AB mag (Total): 9.671588339586549\n",
"ukidss_j: mean flux error: 0.7461409125677819, 3sigma in AB mag (Total): 23.025144728260734\n",
"ukidss_k: mean flux error: 0.7551337918214454, 3sigma in AB mag (Total): 23.01213710034623\n",
"ukidss_h: mean flux error: 0.14311237455638268, 3sigma in AB mag (Total): 24.818003893944656\n",
"vista_y: mean flux error: 1.1304143276092005, 3sigma in AB mag (Total): 22.57410272968287\n",
"vista_j: mean flux error: 6.277304973790443, 3sigma in AB mag (Total): 20.71276379136821\n",
"vista_h: mean flux error: 8.810788462996916, 3sigma in AB mag (Total): 20.34465992707232\n",
"vista_ks: mean flux error: 11.170472533974387, 3sigma in AB mag (Total): 20.087018000564704\n",
"vista_z: mean flux error: 0.9450271283337811, 3sigma in AB mag (Total): 22.76858617389447\n"
]
}
],
"source": [
"average_depths = []\n",
"for b in ap_bands:\n",
" \n",
" mean_err = np.nanmean(depths['ferr_ap_{}_mean'.format(b)])\n",
" print(\"{}: mean flux error: {}, 3sigma in AB mag (Aperture): {}\".format(b, mean_err, flux_to_mag(3.0*mean_err*1.e-6)[0]))\n",
" average_depths += [('ap_' + b, flux_to_mag(1.0*mean_err*1.e-6)[0], \n",
" flux_to_mag(3.0*mean_err*1.e-6)[0], \n",
" flux_to_mag(5.0*mean_err*1.e-6)[0])]\n",
" \n",
"for b in tot_bands:\n",
" \n",
" mean_err = np.nanmean(depths['ferr_{}_mean'.format(b)])\n",
" print(\"{}: mean flux error: {}, 3sigma in AB mag (Total): {}\".format(b, mean_err, flux_to_mag(3.0*mean_err*1.e-6)[0]))\n",
" average_depths += [(b, flux_to_mag(1.0*mean_err*1.e-6)[0], \n",
" flux_to_mag(3.0*mean_err*1.e-6)[0], \n",
" flux_to_mag(5.0*mean_err*1.e-6)[0])]\n",
" \n",
"average_depths = np.array(average_depths, dtype=[('band', \""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for dat in data:\n",
" wav_deets = FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))\n",
" depth = average_depths['5s'][average_depths['band'] == dat[0]]\n",
" #print(depth)\n",
" plt.plot([wav_deets[0],wav_deets[1]], [depth,depth], label=dat[0])\n",
" \n",
"plt.xlabel('Wavelength ($\\AA$)')\n",
"plt.ylabel('Depth')\n",
"plt.xscale('log')\n",
"plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
"plt.title('Depths on {}'.format(FIELD))"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"### IV.c - Depth vs coverage comparison\n",
"\n",
"How best to do this? Colour/intensity plot over area? Percentage coverage vs mean depth?"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Depths (5 $\\\\sigma$) vs coverage on XMM-LSS')"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for dat in data:\n",
" wav_deets = FWHM(np.array(dat[1]['Wavelength']), np.array(dat[1]['Transmission']))\n",
" depth = average_depths['5s'][average_depths['band'] == dat[0]]\n",
" #print(depth)\n",
" coverage = np.sum(~np.isnan(depths['ferr_{}_mean'.format(dat[0])]))/len(depths)\n",
" plt.plot(coverage, depth, 'x', label=dat[0])\n",
" \n",
"plt.xlabel('Coverage')\n",
"plt.ylabel('Depth')\n",
"#plt.xscale('log')\n",
"plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
"plt.title('Depths (5 $\\sigma$) vs coverage on {}'.format(FIELD))"
]
}
],
"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": "3.7.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}