A Critical Assessment of Stellar Mass Measurement Methods
Bahram Mobasher, Tomas Dahlen, Henry C. Ferguson, Viviana Acquaviva,, Guillermo Barro, Steven L. Finkelstein, Adriano Fontana, Ruth Gruetzbauch,, Seth Johnson, Yu Lu, Casey J. Papovich, Janine Pforr, Mara Salvato, Rachel S., Somerville, Tommy Wiklind, Stijn Wuyts

TL;DR
This study systematically evaluates the main sources of errors in galaxy stellar mass measurements using SED fitting, highlighting the impact of photometric uncertainties, model choices, and degeneracies on mass estimates.
Contribution
It provides a comprehensive quantification of errors and sensitivities in stellar mass estimation methods through simulated galaxy catalogs, comparing different codes and models.
Findings
No significant bias among different stellar mass measurement codes.
Photometric uncertainties and resolution in parameters significantly affect mass estimates.
Median of different methods yields a stable stellar mass estimate.
Abstract
In this paper we perform a comprehensive study of the main sources of random and systematic errors in stellar mass measurement for galaxies using their Spectral Energy Distributions (SEDs). We use mock galaxy catalogs with simulated multi-waveband photometry (from U-band to mid-infrared) and known redshift, stellar mass, age and extinction for individual galaxies. Given different parameters affecting stellar mass measurement (photometric S/N ratios, SED fitting errors, systematic effects, the inherent degeneracies and correlated errors), we formulated different simulated galaxy catalogs to quantify these effects individually. We studied the sensitivity of stellar mass estimates to the codes/methods used, population synthesis models, star formation histories, nebular emission line contributions, photometric uncertainties, extinction and age. For each simulated galaxy, the difference…
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