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@article{Hahn:2024:1538-4357/ad19c8,
author = {Hahn, CH and Aguilar, JN and Alam, S and Ahlen, S and Brooks, D and Cole, S and de, la Macorra A and Doel, P and Font-Ribera, AA and Forero-Romero, JE and Gontcho, A Gontcho S and Honscheid, K and Huang, S and Kisner, T and Kremin, A and Landriau, M and Manera, M and Meisner, A and Miquel, R and Moustakas, J and Nie, J and Poppett, C and Rossi, G and Saintonge, A and Sanchez, E and Saulder, C and Schubnell, M and Seo, HJ and Siudek, M and Speranza, F and Tarlé, G and Weaver, BA and Wechsler, RH and Yuan, S and Zhou, Z and Zou, H},
doi = {1538-4357/ad19c8},
journal = {Astrophysical Journal},
title = {PROVABGS: The Probabilistic Stellar Mass Function of the BGS One-percent Survey},
url = {http://dx.doi.org/10.3847/1538-4357/ad19c8},
volume = {963},
year = {2024}
}

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TY  - JOUR
AB  - 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.
AU  - Hahn,CH
AU  - Aguilar,JN
AU  - Alam,S
AU  - Ahlen,S
AU  - Brooks,D
AU  - Cole,S
AU  - de,la Macorra A
AU  - Doel,P
AU  - Font-Ribera,AA
AU  - Forero-Romero,JE
AU  - Gontcho,A Gontcho S
AU  - Honscheid,K
AU  - Huang,S
AU  - Kisner,T
AU  - Kremin,A
AU  - Landriau,M
AU  - Manera,M
AU  - Meisner,A
AU  - Miquel,R
AU  - Moustakas,J
AU  - Nie,J
AU  - Poppett,C
AU  - Rossi,G
AU  - Saintonge,A
AU  - Sanchez,E
AU  - Saulder,C
AU  - Schubnell,M
AU  - Seo,HJ
AU  - Siudek,M
AU  - Speranza,F
AU  - Tarlé,G
AU  - Weaver,BA
AU  - Wechsler,RH
AU  - Yuan,S
AU  - Zhou,Z
AU  - Zou,H
DO  - 1538-4357/ad19c8
PY  - 2024///
SN  - 0004-637X
TI  - PROVABGS: The Probabilistic Stellar Mass Function of the BGS One-percent Survey
T2  - Astrophysical Journal
UR  - http://dx.doi.org/10.3847/1538-4357/ad19c8
VL  - 963
ER  -

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