In [1]:
from herschelhelp_internal import git_version
print("This notebook was run with herschelhelp_internal version: \n{}".format(git_version()))
In [2]:
%matplotlib inline
#%config InlineBackend.figure_format = 'svg'
import matplotlib.pyplot as plt
plt.rc('figure', figsize=(10, 6))
plt.style.use('ggplot')
import locale
locale.setlocale(locale.LC_ALL, 'en_GB')
import os
import time
import itertools
from astropy.coordinates import SkyCoord
from astropy.table import Table
from astropy import units as u
from astropy import visualization as vis
import numpy as np
from matplotlib_venn import venn3, venn2
from herschelhelp_internal.masterlist import (nb_compare_mags, nb_ccplots, nb_histograms,
quick_checks, find_last_ml_suffix)
In [3]:
OUT_DIR = os.environ.get('OUT_DIR', "./data")
SUFFIX = find_last_ml_suffix()
#SUFFIX = "20171016"
master_catalogue_filename = "master_catalogue_gama-12_{}.fits".format(SUFFIX)
master_catalogue = Table.read("{}/{}".format(OUT_DIR, master_catalogue_filename))
print("Diagnostics done using: {}".format(master_catalogue_filename))
0 - Quick checks¶
In [4]:
quick_checks(master_catalogue).show_in_notebook()
Out[4]:
I - Summary of wavelength domains¶
In [5]:
flag_obs = master_catalogue['flag_optnir_obs']
flag_det = master_catalogue['flag_optnir_det']
In [6]:
venn2(
[
np.sum(flag_obs == 1),
np.sum(flag_obs == 2),
np.sum(flag_obs == 3)
],
set_labels=('Optical', 'near-IR'),
subset_label_formatter=lambda x: "{}%".format(int(100*x/len(flag_obs)))
)
plt.title("Wavelength domain observations");
In [7]:
venn2(
[
np.sum(flag_det[flag_obs == 3] == 1),
np.sum(flag_det[flag_obs == 3] == 2),
np.sum(flag_det[flag_obs == 3] == 3)
],
set_labels=('near-IR', 'Optical'),
subset_label_formatter=lambda x: "{}%".format(int(100*x/np.sum(flag_det != 0)))
)
plt.title("Detection of the {} sources detected\n in any wavelength domains "
"(among {} sources)".format(
locale.format('%d', np.sum(flag_det != 0), grouping=True),
locale.format('%d', len(flag_det), grouping=True)));
II - Comparing magnitudes in similar filters¶
The master list if composed of several catalogues containing magnitudes in similar filters on different instruments. We are comparing the magnitudes in these corresponding filters.
In [8]:
u_bands = [ "KIDS u"]
g_bands = ["DECam g", "KIDS g", "SUPRIME g", "GPC1 g"]
r_bands = ["DECam r", "KIDS r", "SUPRIME r", "GPC1 r"]
i_bands = [ "KIDS i", "SUPRIME i", "GPC1 i"]
z_bands = ["DECam z", "SUPRIME z", "GPC1 z"]
y_bands = [ "SUPRIME y", "GPC1 y"]
In [9]:
for band in g_bands:
print(band, 'max:', np.nanmax(master_catalogue["m_{}".format(band.replace(" ", "_").lower())]))
The Suprime g magnitudes are very wrong. They are almost all between 0 and 1.
II.a - Comparing depths¶
We compare the histograms of the total aperture magnitudes of similar bands.
In [10]:
for bands in [u_bands, g_bands, r_bands, i_bands, z_bands, y_bands]:
colnames = ["m_{}".format(band.replace(" ", "_").lower()) for band in bands]
nb_histograms(master_catalogue, colnames, bands)
II.b - Comparing magnitudes¶
We compare one to one each magnitude in similar bands.
In [11]:
for band_of_a_kind in [u_bands, g_bands, r_bands, i_bands, z_bands, y_bands]:
for band1, band2 in itertools.combinations(band_of_a_kind, 2):
basecol1, basecol2 = band1.replace(" ", "_").lower(), band2.replace(" ", "_").lower()
col1, col2 = "m_ap_{}".format(basecol1), "m_ap_{}".format(basecol2)
nb_compare_mags(master_catalogue[col1], master_catalogue[col2],
labels=("{} (aperture)".format(band1), "{} (aperture)".format(band2)))
col1, col2 = "m_{}".format(basecol1), "m_{}".format(basecol2)
nb_compare_mags(master_catalogue[col1], master_catalogue[col2],
labels=("{} (total)".format(band1), "{} (total)".format(band2)))
III - Comparing magnitudes to reference bands¶
Cross-match the master list to SDSS and 2MASS to compare its magnitudes to SDSS and 2MASS ones.
In [12]:
master_catalogue_coords = SkyCoord(master_catalogue['ra'], master_catalogue['dec'])
III.a - Comparing u, g, r, i, and z bands to SDSS¶
The catalogue is cross-matched to SDSS-DR13 withing 0.2 arcsecond.
We compare the u, g, r, i, and z magnitudes to those from SDSS using fiberMag for the aperture magnitude and petroMag for the total magnitude.
In [13]:
sdss = Table.read("../../dmu0/dmu0_SDSS-DR13/data/SDSS-DR13_GAMA-12.fits")
sdss_coords = SkyCoord(sdss['ra'] * u.deg, sdss['dec'] * u.deg)
idx, d2d, _ = sdss_coords.match_to_catalog_sky(master_catalogue_coords)
mask = (d2d < 0.2 * u.arcsec)
sdss = sdss[mask]
ml_sdss_idx = idx[mask]
In [14]:
for band_of_a_kind in [u_bands, g_bands, r_bands, i_bands, z_bands]:
for band in band_of_a_kind:
sdss_mag_ap = sdss["fiberMag_{}".format(band[-1])]
master_cat_mag_ap = master_catalogue["m_ap_{}".format(band.replace(" ", "_").lower())][ml_sdss_idx]
# SDSS use negative magnitudes to indicate missing data
sdss_mag_ap[sdss_mag_ap < 0] = np.nan
nb_compare_mags(sdss_mag_ap, master_cat_mag_ap,
labels=("SDSS {} (fiberMag)".format(band[-1]), "{} (aperture)".format(band)))
sdss_mag_tot = sdss["petroMag_{}".format(band[-1])]
master_cat_mag_tot = master_catalogue["m_ap_{}".format(band.replace(" ", "_").lower())][ml_sdss_idx]
nb_compare_mags(sdss_mag_ap, master_cat_mag_ap,
labels=("SDSS {} (petroMag)".format(band[-1]), "{} (total)".format(band)))
III.b - Comparing J and K bands to 2MASS¶
The catalogue is cross-matched to 2MASS-PSC withing 0.2 arcsecond. We compare the UKIDSS total J and K magnitudes to those from 2MASS.
The 2MASS magnitudes are “Vega-like” and we have to convert them to AB magnitudes using the zero points provided on this page:
| Band | Fν - 0 mag (Jy) |
|---|---|
| J | 1594 |
| H | 1024 |
| Ks | 666.7 |
In addition, UKIDSS uses a K band whereas 2MASS uses a Ks (“short”) band, this page give a correction to convert the K band in a Ks band with the formula:
$$K_{s(2MASS)} = K_{UKIRT} + 0.003 + 0.004 * (J−K)_{UKIRT}$$In [15]:
# The AB zero point is 3631 Jy
j_2mass_to_ab = 2.5 * np.log10(3631/1595)
k_2mass_to_ab = 2.5 * np.log10(3631/666.7)
In [16]:
twomass = Table.read("../../dmu0/dmu0_2MASS-point-sources/data/2MASS-PSC_GAMA-12.fits")
twomass_coords = SkyCoord(twomass['raj2000'], twomass['dej2000'])
idx, d2d, _ = twomass_coords.match_to_catalog_sky(master_catalogue_coords)
mask = (d2d < 0.2 * u.arcsec)
twomass = twomass[mask]
ml_twomass_idx = idx[mask]
In [17]:
nb_compare_mags(twomass['jmag'] + j_2mass_to_ab, master_catalogue['m_wfcam_j'][ml_twomass_idx],
labels=("2MASS J", "UKIDSS J (total)"))
In [18]:
ukidss_ks_like = master_catalogue['m_wfcam_k'] + 0.003 + 0.004 * (
master_catalogue['m_wfcam_j'] - master_catalogue['m_wfcam_k'])
nb_compare_mags(twomass['kmag'] + k_2mass_to_ab, ukidss_ks_like[ml_twomass_idx],
labels=("2MASS Ks", "UKIDSS Ks-like (total)"))
In [19]:
nb_compare_mags(twomass['jmag'] + j_2mass_to_ab, master_catalogue['m_vircam_j'][ml_twomass_idx],
labels=("2MASS J", "VISTA J (total)"))
In [20]:
nb_compare_mags(twomass['kmag'] + k_2mass_to_ab, master_catalogue['m_vircam_k'][ml_twomass_idx],
labels=("2MASS Ks", "VISTA Ks (total)"))
IV - Comparing aperture magnitudes to total ones.¶
In [21]:
nb_ccplots(
master_catalogue['m_suprime_r'],
master_catalogue['m_ap_suprime_r'] - master_catalogue['m_suprime_r'],
"r total magnitude (HSC)", "r aperture mag - total mag (HSC)",
master_catalogue["stellarity"],
invert_x=True
)
V - Color-color and magnitude-color plots¶
In [22]:
nb_ccplots(
master_catalogue['m_suprime_r'] - master_catalogue['m_suprime_i'],
master_catalogue['m_wfcam_j'] - master_catalogue['m_wfcam_k'],
"r - i (HSC)", "J - K (UKIDSS)",
master_catalogue["stellarity"]
)
In [23]:
nb_ccplots(
master_catalogue['m_suprime_i'] - master_catalogue['m_wfcam_j'],
master_catalogue['m_suprime_r'] - master_catalogue['m_wfcam_k'],
"WFC i - IRAC1", "r - i (WFC)",
master_catalogue["stellarity"]
)
In [24]:
nb_ccplots(
master_catalogue['m_wfcam_j'] - master_catalogue['m_wfcam_k'],
master_catalogue['m_suprime_r'] - master_catalogue['m_wfcam_j'],
"J - K (UKIDSS)", "r - J (HSC, UKIDSS)",
master_catalogue["stellarity"]
)
