Model-Independent Inference of Galaxy Star Formation Histories in the Local Volume
Robin Eappen, Pavel Kroupa

TL;DR
This paper develops a non-parametric, data-driven method to infer the diversity of galaxy star formation histories in the Local Volume without assuming fixed models, revealing most galaxies have flat or mildly declining SFHs.
Contribution
It introduces a novel, model-independent framework for constraining galaxy SFHs using observed SFRs, avoiding traditional parametric assumptions.
Findings
Most galaxies have flat or mildly declining SFHs.
Strong correlation between SFH shape and SFR ratio.
Declining SFH templates are generally disfavored.
Abstract
Understanding the diversity of star formation histories (SFHs) of galaxies is key to reconstructing their evolutionary paths. Traditional models often assume parametric forms such as delayed-tau or exponentially declining models, which may not reflect the actual variety of formation processes. We aim to assess what types of SFHs are consistent with the observed present-day star formation rates () and time-averaged star formation rates () of galaxies in the Local Volume, without assuming any fixed functional form. We construct a non-parametric framework by generating large ensembles of randomized SFHs for each galaxy in the sample. For each SFH, we compute its predicted stellar mass and present-day SFR and retain only those consistent with the observed values within a 20% tolerance. We then infer the statistical distribution of power-law slopes…
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