SED fitting with Markov Chain Monte Carlo: Methodology and Application to z=3.1 Lyman Alpha Emitting Galaxies
Viviana Acquaviva, Eric Gawiser, Lucia Guaita

TL;DR
This paper introduces GalMC, an efficient MCMC-based method for fitting galaxy SEDs to derive physical properties, applied to z=3.1 Lyman Alpha Emitters, providing new constraints on their ages, masses, and metallicities.
Contribution
The paper presents GalMC, a novel MCMC algorithm that improves efficiency and accuracy in SED fitting compared to grid-based methods, and applies it to high-redshift LAEs.
Findings
LAEs with IRAC detection are older and more massive.
LAEs without IRAC detection are younger and less massive.
Metallicity of z=3.1 LAEs is constrained to be below solar at 95% confidence.
Abstract
We present GalMC, a MCMC algorithm designed to fit the spectral energy distributions (SED) of galaxies to infer physical properties such as age, stellar mass, dust reddening, metallicity, redshift, and star formation rate. We describe the features of the code and the extensive tests conducted to ensure that our procedure leads to unbiased parameter estimation and accurate evaluation of uncertainties. We compare its performance to grid-based algorithms, showing that the efficiency in CPU time is ~ 100 times better for MCMC for a three dimensional parameter space and increasing with the number of dimensions. We use GalMC to fit the stacked SEDs of two samples of Lyman Alpha Emitters (LAEs) at redshift z=3.1. Our fit reveals that the typical LAE detected in the IRAC 3.6 micron band has age = 0.67 [0.37 - 1.81] Gyr and stellar mass = 3.2 [2.5 - 4.2] x 10^9 M_Sun, while the typical LAE not…
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