The catalogue comes from dmu0_CANDELS-3D-HST. We no longer use this catalogue since it is superseeded by CANDELS-HDFN
In the catalogue, we keep:
from herschelhelp_internal import git_version print("This notebook was run with herschelhelp_internal version: \n{}".format(git_version()))
%matplotlib inline
import matplotlib.pyplot as plt plt.rc('figure', figsize=(10, 6))
from collections import OrderedDict import os
from astropy import units as u from astropy.coordinates import SkyCoord from astropy.table import Column, Table import numpy as np
from herschelhelp_internal.flagging import gaia_flag_column from herschelhelp_internal.masterlist import nb_astcor_diag_plot, remove_duplicates from herschelhelp_internal.utils import astrometric_correction, flux_to_mag
OUT_DIR = os.environ.get('TMP_DIR', "./data_tmp") try: os.makedirs(OUT_DIR) except FileExistsError: pass
RA_COL = "candels_ra" DEC_COL = "candels_dec"
imported_columns = OrderedDict({ 'ID': "candels_id", 'RAJ2000': "candels_ra", 'DEJ2000': "candels_dec", 'S/G': "candels_stellarity", 'F140Wap': "f_ap_candels_f140w", 'e_F140Wap': "ferr_ap_candels_f140w", 'F140W': "f_candels_f140w", 'e_F140W': "ferr_candels_f140w", 'F160Wap': "f_ap_candels_f160w", 'e_F160Wap': "ferr_ap_candels_f160w", 'F160W': "f_candels_f160w", 'e_F160W': "ferr_candels_f160w", 'F606W': "f_candels_f606w", 'e_F606W': "ferr_candels_f606w", 'F814W': "f_candels_f814w", 'e_F814W': "ferr_candels_f814w", 'F125W': "f_candels_f125w", 'e_F125W': "ferr_candels_f125w"
})
catalogue = Table.read("../../dmu0/dmu0_CANDELS-3D-HST/data/CANDELS-3D-HST_HDF-N.fits")[list(imported_columns)] for column in imported_columns: catalogue[column].name = imported_columns[column]
epoch = 2012 #Year of publication
catalogue.meta = None
for col in catalogue.colnames: if col.startswith('f_'):
errcol = "ferr{}".format(col[1:])
#Calculate mags, errors including the fact that fluxes are in units of 0.3631 uJy
mag, error = flux_to_mag(np.array(catalogue[col]) * 0.3631e-6, np.array(catalogue[errcol] * 0.3631e-6))
# magnitudes are added
catalogue.add_column(Column(mag, name="m{}".format(col[1:])))
catalogue.add_column(Column(error, name="m{}".format(errcol[1:])))
#Correct flux units to uJy
catalogue[col] = catalogue[col] * 0.3631
catalogue[col].unit = u.microjansky
catalogue[errcol] = catalogue[errcol] * 0.3631
catalogue[errcol].unit = u.microjansky
if ('125' in col) or ('814' in col) or ('606' in col) :
# We add nan filled aperture photometry for consistency
catalogue.add_column(Column(np.full(len(catalogue), np.nan), name="m_ap{}".format(col[1:])))
catalogue.add_column(Column(np.full(len(catalogue), np.nan), name="merr_ap{}".format(col[1:])))
catalogue.add_column(Column(np.full(len(catalogue), np.nan), name="f_ap{}".format(col[1:])))
catalogue.add_column(Column(np.full(len(catalogue), np.nan), name="ferr_ap{}".format(col[1:])))
# Band-flag column
if "ap" not in col:
catalogue.add_column(Column(np.zeros(len(catalogue), dtype=bool), name="flag{}".format(col[1:])))
catalogue[:10].show_in_notebook()
We remove duplicated objects from the input catalogues.
SORT_COLS = ['merr_candels_f140w', 'merr_candels_f160w', 'merr_candels_f606w', 'merr_candels_f814w', 'merr_candels_f125w'] FLAG_NAME = 'candels_flag_cleaned'
nb_orig_sources = len(catalogue)
catalogue = remove_duplicates(catalogue, RA_COL, DEC_COL, sort_col=SORT_COLS,flag_name=FLAG_NAME)
nb_sources = len(catalogue)
print("The initial catalogue had {} sources.".format(nb_orig_sources)) print("The cleaned catalogue has {} sources ({} removed).".format(nb_sources, nb_orig_sources - nb_sources)) print("The cleaned catalogue has {} sources flagged as having been cleaned".format(np.sum(catalogue[FLAG_NAME])))
We match the astrometry to the Gaia one. We limit the Gaia catalogue to sources with a g band flux between the 30th and the 70th percentile. Some quick tests show that this give the lower dispersion in the results.
gaia = Table.read("../../dmu0/dmu0_GAIA/data/GAIA_HDF-N.fits") gaia_coords = SkyCoord(gaia['ra'], gaia['dec'])
nb_astcor_diag_plot(catalogue[RA_COL], catalogue[DEC_COL], gaia_coords.ra, gaia_coords.dec)
delta_ra, delta_dec = astrometric_correction( SkyCoord(catalogue[RA_COL], catalogue[DEC_COL]), gaia_coords )
print("RA correction: {}".format(delta_ra)) print("Dec correction: {}".format(delta_dec))
catalogue[RA_COL] += delta_ra.to(u.deg) catalogue[DEC_COL] += delta_dec.to(u.deg)
nb_astcor_diag_plot(catalogue[RA_COL], catalogue[DEC_COL], gaia_coords.ra, gaia_coords.dec)
catalogue.add_column( gaia_flag_column(SkyCoord(catalogue[RA_COL], catalogue[DEC_COL]), epoch, gaia) )
GAIA_FLAG_NAME = "candels_flag_gaia"
catalogue['flag_gaia'].name = GAIA_FLAG_NAME print("{} sources flagged.".format(np.sum(catalogue[GAIA_FLAG_NAME] > 0)))
catalogue.write("{}/CANDELS.fits".format(OUT_DIR), overwrite=True)