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PROVABGS: The Probabilistic Stellar Mass Function of the BGS One-percent Survey

Hahn, ChangHoon; Aguilar, Jessica Nicole; Alam, Shadab; Ahlen, Steven; Brooks, David; Cole, Shaun; de la Macorra, Axel; Doel, Peter; Font-Ribera, Andreu A.; Forero-Romero, Jaime E.; Gontcho A Gontcho, Satya; Honscheid, Klaus; Huang, Song; Kisner, Theodore; Kremin, Anthony; Landriau, Martin; Manera, Marc; Meisner, Aaron; Miquel, Ramon; Moustakas, John; Nie, Jundan; Poppett, Claire; Rossi, Graziano; Saintonge, Amélie; Sanchez, Eusebio; Saulder, Christoph; Schubnell, Michael; Seo, Hee-Jong; Siudek, Małgorzata; Speranza, Federico; Tarlé, Gregory; Weaver, Benjamin A.; Wechsler, Risa H.; Yuan, Sihan; Zhou, Zhimin; Zou, Hu

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Authors

ChangHoon Hahn

Jessica Nicole Aguilar

Shadab Alam

Steven Ahlen

David Brooks

Axel de la Macorra

Peter Doel

Andreu A. Font-Ribera

Jaime E. Forero-Romero

Satya Gontcho A Gontcho

Klaus Honscheid

Song Huang

Theodore Kisner

Anthony Kremin

Martin Landriau

Marc Manera

Aaron Meisner

Ramon Miquel

John Moustakas

Jundan Nie

Claire Poppett

Graziano Rossi

Amélie Saintonge

Eusebio Sanchez

Christoph Saulder

Michael Schubnell

Hee-Jong Seo

Małgorzata Siudek

Federico Speranza

Gregory Tarlé

Benjamin A. Weaver

Risa H. Wechsler

Sihan Yuan

Zhimin Zhou

Hu Zou



Abstract

We present the probabilistic stellar mass function (pSMF) of galaxies in the DESI Bright Galaxy Survey (BGS), observed during the One-percent Survey. The One-percent Survey was one of DESI’s survey validation programs conducted from 2021 April to May, before the start of the main survey. It used the same target selection and similar observing strategy as the main survey and successfully observed the spectra and redshifts of 143,017 galaxies in the r < 19.5 magnitude-limited BGS Bright sample and 95,499 galaxies in the fainter surface-brightness- and color-selected BGS Faint sample over z < 0.6. We derive pSMFs from posteriors of stellar mass, M *, inferred from DESI photometry and spectroscopy using the Hahn et al. PRObabilistic Value-Added BGS (PROVABGS) Bayesian spectral energy distribution modeling framework. We use a hierarchical population inference framework that statistically and rigorously propagates the M * uncertainties. Furthermore, we include correction weights that account for the selection effects and incompleteness of the BGS observations. We present the redshift evolution of the pSMF in BGS, as well as the pSMFs of star-forming and quiescent galaxies classified using average specific star formation rates from PROVABGS. Overall, the pSMFs show good agreement with previous stellar mass function measurements in the literature. Our pSMFs showcase the potential and statistical power of BGS, which in its main survey will observe >100 × more galaxies. Moreover, we present the statistical framework for subsequent population statistics measurements using BGS, which will characterize the global galaxy population and scaling relations at low redshifts with unprecedented precision.

Citation

Hahn, C., Aguilar, J. N., Alam, S., Ahlen, S., Brooks, D., Cole, S., …Zou, H. (2024). PROVABGS: The Probabilistic Stellar Mass Function of the BGS One-percent Survey. Astrophysical Journal, 963(1), Article 56. https://doi.org/10.3847/1538-4357/ad19c8

Journal Article Type Article
Acceptance Date Dec 29, 2023
Online Publication Date Feb 28, 2024
Publication Date Mar 1, 2024
Deposit Date Mar 15, 2024
Publicly Available Date Mar 15, 2024
Journal The Astrophysical Journal
Print ISSN 0004-637X
Publisher American Astronomical Society
Peer Reviewed Peer Reviewed
Volume 963
Issue 1
Article Number 56
DOI https://doi.org/10.3847/1538-4357/ad19c8
Keywords Galaxies, Bayesian statistics, Galaxy spectroscopy, Galactic and extragalactic astronomy, Cosmology, Astrostatistics, Large-scale structure of the universe
Public URL https://durham-repository.worktribe.com/output/2292428

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