Relative merits of different types of rest-frame optical observations to constrain galaxy physical parameters
Camilla Pacifici, Stephane Charlot, Jeremy Blaizot, Jarle, Brinchmann

TL;DR
This paper introduces a Bayesian method combining stellar and nebular emission analysis to accurately determine galaxy physical parameters from various optical observations, improving parameter constraints across different spectral resolutions.
Contribution
The study presents a comprehensive Bayesian framework that integrates stellar and nebular emission modeling to constrain galaxy parameters from diverse optical data types.
Findings
Combined analysis yields accurate galaxy parameter estimates.
Higher spectral resolution improves parameter constraints.
Signal-to-noise ratio significantly affects the accuracy of derived parameters.
Abstract
We present a new approach to constrain galaxy physical parameters from the combined interpretation of stellar and nebular emission in wide ranges of observations. This approach relies on the Bayesian analysis of any type of galaxy spectral energy distribution using a comprehensive library of synthetic spectra assembled using state-of-the-art models of star formation and chemical enrichment histories, stellar population synthesis, nebular emission and attenuation by dust. We focus on the constraints set by 5-band photometry and low- and medium-resolution spectroscopy at optical rest wavelengths on a set of physical parameters characterizing the stars and the interstellar medium. Since these parameters cannot be known a priori for any galaxy sample, we assess the accuracy to which they can be retrieved by simulating `pseudo-observations' using models with known parameters. Assuming that…
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