J/A+A/685/A48 JWST galaxy morphologies (Huertas-Company+, 2024)
Galaxy morphology from z∼6 through the lens of JWST.
Huertas-Company M., Iyer K.G., Angeloudi E., Bagley M.B., Finkelstein S.L.,
Kartaltepe J., McGrath E.J., Sarmiento R., Vega-Ferrero J., Arrabal Haro P.,
Behroozi P., Buitrago F., Cheng Y., Costantin L., Dekel A., Dickinson M.,
Elbaz D., Grogin N.A., Hathi N.P., Holwerda B.W., Koekemoer A.M.,
Lucas R.A., Papovich C., Perez-Gonzalez P.G., Pirzkal N., Seille L-M.,
de la Vega A., Wuyts S., Yang G., Yung L.Y.A.
<Astron. Astrophys. 685, A48 (2024)>
=2024A&A...685A..48H 2024A&A...685A..48H (SIMBAD/NED BibCode)
ADC_Keywords: Galaxies ; Photometry, infrared ; Morphology
Keywords: catalogs - galaxies: evolution - galaxies: high-redshift -
galaxies: statistics - galaxies: structure
Abstract:
The James Webb Space Telescope's (JWST's) unprecedented combination
of sensitivity, spatial resolution, and infrared coverage has
enabled a new era of galaxy morphology exploration across most of
cosmic history.
We analyze the near-infrared (NIR∼0.8-1um) rest-frame morphologies of
galaxies with log M*/M☉>9 in the redshift range of 0<z<6,
compare with previous HST-based results and release the first
JWST-based morphological catalog of ∼20000 galaxies in the CEERS
survey.
We classified the galaxies in our sample into four main broad classes:
spheroid, disk+spheroid, disk, and disturbed, based on imaging with
four filters: F150W, F200W, F356W, and F444W. We used convolutional
neural networks (CNNs) trained on HST/WFC3 labeled images and
domain-adapted to JWST/NIRCam.
We find that ∼90% and ∼75% of galaxies at z<3 have the same early and
late and regular and irregular classification, respectively, in JWST
and HST imaging when considering similar wavelengths. For small
(large) and faint objects, JWST-based classifications tend to
systematically present less bulge-dominated systems (peculiar
galaxies) than HST-based ones, but the impact on the reported
evolution of morphological fractions is less than ∼10%. Using
JWST-based morphologies at the same rest-frame wavelength (∼0.8-1um),
we confirm an increase in peculiar galaxies and a decrease in
bulge-dominated galaxies with redshift, as reported in previous
HST-based works, suggesting that the stellar mass distribution, in
addition to light distribution, is more disturbed in the early
universe. However, we find that undisturbed disk-like systems already
dominate the high-mass end of the late-type galaxy population (log
M*/M☉>10.5) at z∼5, and bulge-dominated galaxies also exist at
these early epochs, confirming a rich and evolved morphological
diversity of galaxies ∼1Gyr after the Big Bang. Finally, we find
that the morphology-quenching relation is already in place for massive
galaxies at z>3, with massive quiescent galaxies (logM*/M☉>10.5)
being predominantly bulge-dominated.
Description:
CEERS (Finkelstein et al., 2022ApJ...940L..55F 2022ApJ...940L..55F, 2023ApJ...946L..13F 2023ApJ...946L..13F)
is an Early Release Science (ERS) program (Proposal ID 1345, PI:
Finkelstein) that has been observing the EGS (Extended Groth Strip,
Davis et al., 2007ApJ...660L...1D 2007ApJ...660L...1D) extragalactic deep field (one of
the five CANDELS fields; Koekemoer et al., 2011ApJS..197...36K 2011ApJS..197...36K; Grogin
et al., 2011ApJS..197...35G 2011ApJS..197...35G) since June 2022, with data made available
to the public immediately. For this work, we combined ten NIRCam
pointings observed in June and December 2022 in four different
filters: F150W, F200W, F356W, and F444W. For the June pointings, we
used the images from the latest CEERS public data release
(https://ceers.github.io).
We present a morphological classification of around 20000 galaxies
with F200W[AB]<27 using JWST/NIRCam images in four different filters,
F150W, F200W, F356W, and F444W, obtained from the CEERS survey. We
classify galaxies into four classes - spheroid, bulge+disk, disk, and
irregular - using a CNN and adversarial domain adaptation.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
catalog.dat 786 24320 JWST-based morphological catalog of ∼20000
galaxies in the CEERS survey
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Byte-by-byte Description of file: catalog.dat
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Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 6 I6 --- ID [1/101783] Identification number
8- 25 F18.14 deg RAdeg Right ascension (J2000) (RA)
27- 44 F18.15 deg DEdeg Declination (J2000) (DE)
46- 67 E22.19 --- SF200W Mean CNN output spheroid class in filter F200W
(sphf200wmean)
69- 90 E22.19 --- e_SF200W Standard deviation of CNN output spheroid class
in filter F200W (sphf200wstd)
92-113 E22.19 --- DF200W Mean CNN output disk class in filter F200W
(diskf200wmean)
115-136 E22.19 --- e_DF200W Standard deviation of CNN output disk class in
filter F200W(diskf200wstd)
138-159 E22.19 --- IF200W Mean CNN output irregular class in filter F200W
(irrf200wmean)
161-182 E22.19 --- e_IF200W Standard deviation of CNN output irregular class
in filter F200W (irrf200wstd)
184-205 E22.19 --- BF200W Mean CNN output bulge/disk class in filter F200W
(bdf200wmean)
207-228 E22.19 --- e_BF200W Standard deviation of CNN output bulge/disk class
in filter F200W (bdf200wstd)
230-251 E22.19 --- SF356W Mean CNN output spheroid class in filter F356W
(sphf356wmean)
253-274 E22.19 --- e_SF356W Standard deviation of CNN output spheroid class
in filter F356W (sphf356wstd)
276-297 E22.19 --- DF356W Mean CNN output disk class in filter F356W
(diskf356wmean)
299-320 E22.19 --- e_DF356W Standard deviation of CNN output disk class in
filter F356W (diskf356wstd)
322-343 E22.19 --- IF356W Mean CNN output irregular class in filter F356W
(irrf356wmean)
345-366 E22.19 --- e_IF356W Standard deviation of CNN output irregular class
in filter F356W (irrf356wstd)
368-389 E22.19 --- BF356W Mean CNN output bulge/disk class in filter F356W
(bdf356wmean)
391-412 E22.19 --- e_BF356W Standard deviation of CNN output bulge/disk class
in filter F356W (bdf356wstd)
414-435 E22.19 --- SF444W Mean CNN output spheroid class in filter F444W
(sphf444wmean)
437-458 E22.19 --- e_SF444W Standard deviation of CNN output spheroid class
in filter F444W (sphf444wstd)
460-481 E22.19 --- DF444W Mean CNN output disk class in filter F444W
(diskf444wmean)
483-504 E22.19 --- e_DF444W Standard deviation of CNN output disk class
in filter F444W (diskf444wstd)
506-526 E21.19 --- IF444W Mean CNN output irregular class in filter F444W
(irrf444wmean)
528-548 E21.19 --- e_IF444W Standard deviation of CNN output irregular class
in filter F444W (irrf444wstd)
550-571 E22.19 --- BF444W Mean CNN output bulge/disk class in filter F444W
(bdf444wmean)
573-594 E22.19 --- e_BF444W Standard deviation of CNN output bulge/disk class
in filter F444W (bdf444wstd)
596 I1 --- fF356W [0/3] F356W morphology flag (morphflagf356w) (1)
598 I1 --- fF200W [0/3] F200W morphology flag (morphflagf200w) (1)
600 I1 --- fF444W [0/3] F444W morphology flag (morphflagf444w) (1)
602-623 E22.19 --- SF150W Mean CNN output spheroid class in filter F150W
(sphf150wmean)
625-646 E22.19 --- e_SF150W Standard deviation of CNN output spheroid class
in filter F150W (sphf150wstd)
648-669 E22.19 --- DF150W Mean CNN output disk class in filter F150W
(diskf150wmean)
671-692 E22.19 --- e_DF150W Standard deviation of CNN output disk class
in filter F150W (diskf150wstd)
694-715 E22.19 --- IF150W Mean CNN output irregular class in filter F150W
(irrf150wmean)
717-738 E22.19 --- e_IF150W Standard deviation of CNN output irregular class
in filter F150W (irrf150wstd)
740-761 E22.19 --- BF150W Mean CNN output bulge/disk class in filter F150W
(bdf150wmean)
763-784 E22.19 --- e_BF150W Standard deviation of CNN output bulge/disk class
in filter F150W (bdf150wstd)
786 I1 --- fF150W [0/3] F150W morphology flag (morphflagf150w) (1)
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Note (1): Morphology flag as follows:
0 = sph (spheroid)
1 = disk (disk)
2 = irr (irregular)
3 = bd (bulge/disk)
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Acknowledgements:
Marc Huertas Company, marc.huertas.company(at)gmail.com
(End) Patricia Vannier [CDS] 30-Apr-2024