SDSS-IV MaNGA: Bayesian analysis of the star formation history of low-mass galaxies in the local Universe

Abstract

We measure the star formation histories (SFH) of a sample of low-mass galaxies with $M_{\ast }<10^9{M}_{\odot }$ from the SDSS-IV MaNGA survey. The large number of IFU spectra for each galaxy are either combined to reach a high signal to noise ratio or used to investigate spatial variations. We use Bayesian inferences based on full spectrum fitting. Our analysis based on Bayesian evidence ratio indicates a strong preferencefor a model that allows the presence of an old stellar population, and that an improper model for the SFH can significantly underestimate the old population in these galaxies. The addition of NIR photometry to the constraining data can further distinguish between different SFH model families and significantly tighten the constraints on the mass fraction in the old population. On average more than half of the stellar mass in present-day low-mass galaxies formed at least 8 Gyrs ago, while about 30\% within the past 4 Gyrs. Satellite galaxies on average have formed their stellar mass earlier than central galaxies. The radial dependence of the SFH is quite weak. Our results suggest that most of the low-mass galaxies have an early episode of active star formation that produces a large fraction of their present stellar mass.

21 pages, 22 figures, MNRAS accepted version

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Cited by in corpus (12)

• Introducing piXedfit -- a Spectral Energy Distribution Fitting Code Designed for Resolved Sources
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• Galaxy populations in groups and clusters: evidence for a characteristic stellar mass scale at $M_{\ast }\sim 10^{9.5}{M}_{\odot }$
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• The multi-component fitting to the star formation histories in the TNG simulation
• Testing a New Star Formation History Model from Principal Component Analysis to Facilitate Spectral Synthesis Modeling