The propagation of uncertainties in stellar population synthesis modeling I: The relevance of uncertain aspects of stellar evolution and the IMF to the derived physical properties of galaxies
Charlie Conroy, James E. Gunn, Martin White

TL;DR
This paper investigates how uncertainties in stellar evolution phases and the initial mass function affect the derived physical properties of galaxies using stellar population synthesis, highlighting significant uncertainties at various redshifts.
Contribution
It introduces a Monte-Carlo Markov-Chain method to quantify the impact of stellar evolution and IMF uncertainties on galaxy property estimates.
Findings
Stellar mass errors are ~0.3 dex at z~0 and ~0.6 dex at z~2.
Current models inadequately characterize the metallicity dependence of the AGB phase.
Luminosity evolution uncertainty in the K-band is about 0.4 mag per redshift.
Abstract
The stellar masses, mean ages, metallicities, and star formation histories of galaxies are now commonly estimated via stellar population synthesis (SPS) techniques. SPS relies on stellar evolution calculations from the main sequence to stellar death, stellar spectral libraries, phenomenological dust models, and stellar initial mass functions (IMFs). The present work is the first in a series that explores the impact of uncertainties in key phases of stellar evolution and the IMF on the derived physical properties of galaxies and the expected luminosity evolution for a passively evolving set of stars. A Monte-Carlo Markov-Chain approach is taken to fit near-UV through near-IR photometry of a representative sample of low- and high-redshift galaxies with this new SPS model. Significant results include the following: 1) including uncertainties in stellar evolution, stellar masses at z~0…
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