PROVABGS: The Probabilistic Stellar Mass Function of the BGS One-Percent Survey
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 April to May 2021, 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 magnitude-limited BGS Bright sample and 95,499 galaxies in the fainter surface brightness and color selected BGS Faint sample over . We derive pSMFs from posteriors of stellar mass, , inferred from DESI photometry and spectroscopy using the Hahn et al. (2022a; arXiv:2202.01809) PRObabilistic Value-Added BGS (PROVABGS) Bayesian SED modeling framework. We use a hierarchical population inference framework that statistically and rigorously propagates the 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.
Keywords
Cite
@article{arxiv.2306.06318,
title = {PROVABGS: The Probabilistic Stellar Mass Function of the BGS One-Percent Survey},
author = {ChangHoon Hahn and Jessica Nicole Aguilar and Shadab Alam and Steven Ahlen and David Brooks and Shaun Cole and Axel de la Macorra and Peter Doel and Andreu A. Font-Ribera and Jaime E. Forero-Romero and Satya Gontcho A Gontcho and Klaus Honscheid and Song Huang and Theodore Kisner and Anthony Kremin and Martin Landriau and Marc Manera and Aaron Meisner and Ramon Miquel and John Moustakas and Jundan Nie and Claire Poppett and Graziano Rossi and Amélie Saintonge and Eusebio Sanchez and Christoph Saulder and Michael Schubnell and Hee-Jong Seo and Małgorzata Siudek and Federico Speranza and Gregory Tarlé and Benjamin A. Weaver and Risa H. Wechsler and Sihan Yuan and Zhimin Zhou and Hu Zou},
journal= {arXiv preprint arXiv:2306.06318},
year = {2023}
}
Comments
25 pages, 12 figures; data used to generate figures is available at https://doi.org/10.5281/zenodo.8018936; submitted to ApJ