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Title: Photometric Redshifts and Stellar Masses for Galaxies from the DESI Legacy Imaging Surveys

Abstract

We present a catalog of photometric redshifts and stellar masses for galaxies from imaging surveys serving the Dark Energy Spectroscopic Instrument project. The imaging footprints cover an area of over 14,000 deg2. This catalog contains about 0.17 billion morphologically classified galaxies with r < 23 mag. It covers the redshift range of z < 1 and the mass range of $$8.4\lt \mathrm{log}({M}_{* })\lt 11.9$$. A total of five photometric bands are used, including three optical filters (g, r, and z) and two infrared filters (Wide-field Infrared Survey Explorer W1 and W2). We use k-nearest neighbors and local linear regression algorithms to estimate photometric redshifts. Based on a spectroscopic sample of about 2.2 million galaxies, we achieve a redshift bias of $$\overline{{\rm{\Delta }}{z}_{\mathrm{norm}}}$$ = 2.4 × 10-4, accuracy of $${\sigma }_{{\rm{\Delta }}{z}_{\mathrm{norm}}}$$ = 0.017, and outlier rate of about 5.1%. The stellar mass and other physical parameters are derived by stellar population synthesis model fitting based on our photometric redshifts. The differences in $$\mathrm{log}({M}_{* })$$ derived using spectroscopic and photometric redshifts present a 1σ dispersion of 0.09 dex.

Authors:
ORCiD logo [1];  [2];  [1]; ORCiD logo [3]
  1. Chinese Academy of Sciences (CAS), Beijing (China). Key Lab. of Optical Astronomy, National Astronomical Observatories
  2. Chinese Academy of Sciences (CAS), Beijing (China). Key Lab. of Optical Astronomy, National Astronomical Observatories; Univ. of Chinese Academy of Sciences (CAS), Beijing (China). School of Astronomy and Space Science
  3. Univ. of Science and Technology of China, Hefei (China). Key Lab. for Research in Galaxies and Cosmology, Dept. of Astronomy
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI Identifier:
1528875
Grant/Contract Number:  
AC02-05CH1123
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal. Supplement Series (Online)
Additional Journal Information:
Journal Name: The Astrophysical Journal. Supplement Series (Online); Journal Volume: 242; Journal Issue: 1; Journal ID: ISSN 1538-4365
Publisher:
American Astronomical Society/IOP
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; galaxies: clusters: general; galaxies: distances and redshifts; galaxies: photometry

Citation Formats

Zou, Hu, Gao, Jinghua, Zhou, Xu, and Kong, Xu. Photometric Redshifts and Stellar Masses for Galaxies from the DESI Legacy Imaging Surveys. United States: N. p., 2019. Web. doi:10.3847/1538-4365/ab1847.
Zou, Hu, Gao, Jinghua, Zhou, Xu, & Kong, Xu. Photometric Redshifts and Stellar Masses for Galaxies from the DESI Legacy Imaging Surveys. United States. https://doi.org/10.3847/1538-4365/ab1847
Zou, Hu, Gao, Jinghua, Zhou, Xu, and Kong, Xu. Tue . "Photometric Redshifts and Stellar Masses for Galaxies from the DESI Legacy Imaging Surveys". United States. https://doi.org/10.3847/1538-4365/ab1847. https://www.osti.gov/servlets/purl/1528875.
@article{osti_1528875,
title = {Photometric Redshifts and Stellar Masses for Galaxies from the DESI Legacy Imaging Surveys},
author = {Zou, Hu and Gao, Jinghua and Zhou, Xu and Kong, Xu},
abstractNote = {We present a catalog of photometric redshifts and stellar masses for galaxies from imaging surveys serving the Dark Energy Spectroscopic Instrument project. The imaging footprints cover an area of over 14,000 deg2. This catalog contains about 0.17 billion morphologically classified galaxies with r < 23 mag. It covers the redshift range of z < 1 and the mass range of $8.4\lt \mathrm{log}({M}_{* })\lt 11.9$. A total of five photometric bands are used, including three optical filters (g, r, and z) and two infrared filters (Wide-field Infrared Survey Explorer W1 and W2). We use k-nearest neighbors and local linear regression algorithms to estimate photometric redshifts. Based on a spectroscopic sample of about 2.2 million galaxies, we achieve a redshift bias of $\overline{{\rm{\Delta }}{z}_{\mathrm{norm}}}$ = 2.4 × 10-4, accuracy of ${\sigma }_{{\rm{\Delta }}{z}_{\mathrm{norm}}}$ = 0.017, and outlier rate of about 5.1%. The stellar mass and other physical parameters are derived by stellar population synthesis model fitting based on our photometric redshifts. The differences in $\mathrm{log}({M}_{* })$ derived using spectroscopic and photometric redshifts present a 1σ dispersion of 0.09 dex.},
doi = {10.3847/1538-4365/ab1847},
journal = {The Astrophysical Journal. Supplement Series (Online)},
number = 1,
volume = 242,
place = {United States},
year = {Tue May 21 00:00:00 EDT 2019},
month = {Tue May 21 00:00:00 EDT 2019}
}

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Works referencing / citing this record:

The Third Data Release of the Beijing–Arizona Sky Survey
journal, October 2019

  • Zou, Hu; Zhou, Xu; Fan, Xiaohui
  • The Astrophysical Journal Supplement Series, Vol. 245, Issue 1
  • DOI: 10.3847/1538-4365/ab48e8