Issue |
A&A
Volume 670, February 2023
|
|
---|---|---|
Article Number | A82 | |
Number of page(s) | 25 | |
Section | Catalogs and data | |
DOI | https://doi.org/10.1051/0004-6361/202243363 | |
Published online | 16 February 2023 |
Combining the CLAUDS and HSC-SSP surveys
U + grizy(+YJHKs) photometry and photometric redshifts for 18M galaxies in the 20 deg2 of the HSC-SSP Deep and ultraDeep fields★
1
Department of Astronomy, University of Geneva,
ch. d'Écogia 16,
1290
Versoix, Switzerland
2
Institute for Computational Astrophysics and Department of Astronomy and Physics, Saint Mary's University,
Halifax,
Nova Scotia
B3H 3C3, Canada
e-mail: guillaume.desprez@smu.ca
3
Aix Marseille Univ, CNRS, CNES, LAM,
Marseille, France
4
Department of Astronomy, Columbia University,
550 W. 120th Street,
New York, NY
10027, USA
5
NRC-Herzberg,
5071 West Saanich Road, Victoria,
British Columbia
V9E 2E7, Canada
6
Chinese Academy of Sciences South America Center for Astronomy, National Astronomical Observatories, CAS,
Beijing
100101, PR China
7
National Astronomical Observatory of Japan,
2-21-1 Osawa, Mitaka,
Tokyo
181-8588, Japan
8
National Institute of Technology, Wakayama College,
77 Noshima, Nada-cho, Gobo,
Wakayama
644-0023, Japan
9
Institute of Astronomy & Astrophysics,
Academia Sinica,
Taipei
10617, Taiwan
10
Institut d'Astrophysique de Paris,
UMR 7095, CNRS, et Sorbonne Université, 98 bis boulevard Arago,
75014
Paris, France
11
Cosmic Dawn Center (DAWN),
Denmark
12
Niels Bohr Institute, University of Copenhagen,
Jagtvej 128,
2200
Copenhagen, Denmark
Received:
18
February
2022
Accepted:
29
November
2022
We present the combination of the Canada-France-Hawaii Telescope (CHFT) Large Area U-bands Deep Survey (CLAUDS) and the Hyper-Suprime-Cam (HSC) Subaru Strategic Program (HSC-SSP) data over their four deep fields. We provide photometric catalogs for u, u* (CFHT-MegaCam), g, r, i, z, and y (Subaru-HSC) bands over ~20 deg2, complemented in two fields by data from the Visible and Infrared Survey Telescope for Astronomy (VISTA) Deep Extragalactic Observations (VIDEO) survey and the UltraVISTA survey, thus extending the wavelength coverage toward near-infrared with VIRCAM Y, J, H, and Ks observations over 5.5 deg2. The extraction of the photometry was performed with two different softwares: the HSC pipeline hscPipe and the standard and robust SExtractor software. Photometric redshifts were computed with template-fitting methods using the new Phosphoros code for the hscPipe photometry and the well-known Le Phare code for the SExtractor photometry. The products of these methods were compared with each other in detail. We assessed their quality using the large spectroscopic sample available in those regions, together with photometry and photometric redshifts from COSMOS2020, the latest version of the Cosmic Evolution Survey catalogs. We find that both photometric data sets are in good agreement in Ugrizy down to magnitude ~26, and to magnitude ~24.5 in the YJHKs bands. We achieve good performance for the photometric redshifts, reaching precisions of σNMAD ≲ 0.04 down to mi ~ 25, even using only the CLAUDS and HSC bands. At the same magnitude limit, we measured an outlier fraction of η ≲ 10% when using the Ugrizy bands, and down to η ≲ 6% when considering near-infrared data. The hscPipe plus Phosphoros pipeline performs slightly worse in terms of photometric-redshifts precision and outlier fraction than its SExtractor plus Le Phare counterpart, which has essentially been tracked down to differences in the photometry. Thus, this work is also a validation of the Phosphoros code. The photometric catalogs with the data and photometric redshifts from the two pipelines are presented and made publicly available.
Key words: galaxies: photometry / galaxies: distances and redshifts / surveys / catalogs
The catalogs are also available at the CDS via anonymous ftp to cdsarc.cds.unistra.fr (130.79.128.5) or via https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/670/A82
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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