Photometric stellar masses for galaxies in DESI Legacy Imaging Surveys

In many areas of extragalactic astrophysics, we need to convert the luminosity of a galaxy into its stellar mass. In this work, we aim to find a simple and effective formula to estimate the stellar mass from the images of galaxies delivered by the currently popular DESI Legacy Imaging Surveys. This survey provides an unsurpassed combination of deep imaging and extensive sky coverage in up to four photometric bands. We calibrated the desired formula using a sample of local galaxies observed in the Spitzer Survey of Stellar Structure in Galaxies (S 4 G), which was specifically dedicated to measuring stellar masses. For the absolute magnitudes, M g and M r , of a galaxy in the g and r bands of the Legacy Surveys, we can estimate the stellar masses as 0.673 M g − 1.108 M r + 0.996 with a scatter of 25%. Employing more complex functions does not improve the estimate appreciably, even after including the galaxy ellipticity, Sérsic index, or the magnitudes in different Legacy surveys bands. Generally, measurements in the r band were the most helpful, while adding z -band measurements did not improve the mass estimate much. We provide a Python-based script, photomass_ls.py , to automatically download images of any galaxy from the Legacy surveys database, create image masks, generate GALFIT input files with well-assessed initial values, perform GALFIT photometry, and calculate stellar mass estimates. Additionally, we tuned another version of the formula to the magnitudes provided by the Siena Galaxy Atlas 2020 (SGA-2020) with a scatter of 29%. For both our default and SGA-2020 formula, we offer two alternatives derived from different calibrations of S 4 G masses based on different methods and assumptions.

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Publication Details

Journal
Astronomy and Astrophysics
Published
2025-11-05
DOI
https://doi.org/10.1051/0004-6361/202453448
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Photometric stellar masses for galaxies in DESI Legacy Imaging Surveys

Michal Bílek, Jiří Eliášek, Ivana Ebrová
Astronomy and Astrophysics
Astronomy and Astrophysical Research
article

Photometric stellar masses for galaxies in DESI Legacy Imaging Surveys

Michal Bílek, Jiří Eliášek, Ivana Ebrová
article en

Abstract

In many areas of extragalactic astrophysics, we need to convert the luminosity of a galaxy into its stellar mass. In this work, we aim to find a simple and effective formula to estimate the stellar mass from the images of galaxies delivered by the currently popular DESI Legacy Imaging Surveys. This survey provides an unsurpassed combination of deep imaging and extensive sky coverage in up to four photometric bands. We calibrated the desired formula using a sample of local galaxies observed in the Spitzer Survey of Stellar Structure in Galaxies (S 4 G), which was specifically dedicated to measuring stellar masses. For the absolute magnitudes, M g and M r , of a galaxy in the g and r bands of the Legacy Surveys, we can estimate the stellar masses as 0.673 M g − 1.108 M r + 0.996 with a scatter of 25%. Employing more complex functions does not improve the estimate appreciably, even after including the galaxy ellipticity, Sérsic index, or the magnitudes in different Legacy surveys bands. Generally, measurements in the r band were the most helpful, while adding z -band measurements did not improve the mass estimate much. We provide a Python-based script, photomass_ls.py , to automatically download images of any galaxy from the Legacy surveys database, create image masks, generate GALFIT input files with well-assessed initial values, perform GALFIT photometry, and calculate stellar mass estimates. Additionally, we tuned another version of the formula to the magnitudes provided by the Siena Galaxy Atlas 2020 (SGA-2020) with a scatter of 29%. For both our default and SGA-2020 formula, we offer two alternatives derived from different calibrations of S 4 G masses based on different methods and assumptions.

Astronomy and AstrophysicsVol. 704
Centre National de la Recherche Scientifique (FR), Université Paris Sciences et Lettres (FR), Observatoire de Paris (FR), Sorbonne Université (FR), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ), Astronomical Observatory (RS)
National Science Foundation, U.S. Department of Energy, National Aeronautics and Space Administration, University of Pennsylvania, Ohio State University, California Institute of Technology, University of Portsmouth, University College London, European Commission, University of Sussex, Deutsche Forschungsgemeinschaft, Chinese Academy of Sciences, Financiadora de Estudos e Projetos, University of Illinois at Urbana-Champaign, Office of Science, Jet Propulsion Laboratory, HORIZON EUROPE Framework Programme, Division of Astronomical Sciences, High Energy Physics, Integrated Electronics Engineering Center, Binghamton University, Argonne National Laboratory, Fermilab, Lawrence Berkeley National Laboratory, SLAC National Accelerator Laboratory
Openalex Percentile: Top 70%
Astronomy and Astrophysical Research
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