The Mass-Metallicity Relation and its Observational Effects at z~3-6
Zach Lewis, Michael V. Maseda, Anna de Graaff, Joel Leja, Bingjie Wang, Hans-Walter Rix, Ian McConachie, Nikko J. Cleri, Rachel Bezanson, Leindert A. Boogaard, Gabriel Brammer, Jenny E. Greene, Michaela Hirschmann, Harley Katz, Ivo Labbe, Jorryt Matthee, Tim B. Miller

TL;DR
This study measures the galaxy mass-metallicity relation at redshifts 3-6 using JWST data, carefully accounting for observational biases to accurately understand galaxy chemical evolution.
Contribution
It introduces a Bayesian forward modeling approach to correct for selection biases in high-redshift MZR measurements using JWST spectra.
Findings
Selection function has negligible effect on MZR measurement.
Correcting metallicity uncertainties lowers MZR normalization by 0.2 dex.
Proper bias correction steepens the MZR slope by ~15%.
Abstract
The correlation between galaxy stellar mass and gas-phase metallicity, known as the mass-metallicity relation (MZR), gives key insights into the processes that govern galaxy evolution. However, unquantified observational and selection biases can result in systematic errors in attempts to recover the intrinsic MZR, particularly at higher redshifts. We characterize the MZR at z~3-6 within a fully Bayesian framework using JWST NIRSpec spectra of 193 galaxies from the RUBIES survey. We forward model the observed mass-metallicity surface using prospector-generated spectra to account for two selection biases: the survey selection function and success in observing high signal-to-noise emission lines. We demonstrate that the RUBIES selection function, based on F444W magnitude and F150W-F444W color, has a negligible effect on our measured MZR. A correct treatment of the non-Gaussian metallicity…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
