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

PROVABGS: وظيفة الكتلة النجمية الاحتمالية لمسح BGS بنسبة واحد بالمائة
Authors: ChangHoon Hahn; Jessica Nicole Aguilar; Shadab Alam; S. P. Ahlen; D. Brooks; Shaun Cole; Axel de la Macorra; +29 Authors

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

Abstract

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.

Keywords

Statistics and Probability, Stellar Populations, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astronomy, Population, FOS: Physical sciences, Stellar population, Astrophysics, Gaussian Processes in Machine Learning, Astrostatistics, Sociology, Artificial Intelligence, Large-scale structure of the universe, Stellar mass, FOS: Mathematics, Galactic and extragalactic astronomy, Galaxy formation and evolution, Demography, Galaxy Formation and Evolution in the Universe, Physics, Star formation, Astronomy and Astrophysics, Initial mass function, Redshift, Galaxies, Astrophysics - Astrophysics of Galaxies, Stars, Cosmology, FOS: Sociology, QB460-466, Galaxy, Physics and Astronomy, Galaxy spectroscopy, Photometry (optics), Astrophysics of Galaxies (astro-ph.GA), Physical Sciences, Computer Science, Mathematics, Astrophysics - Cosmology and Nongalactic Astrophysics, Detection and Handling of Multicollinearity in Regression Analysis

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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