2021
DOI: 10.3847/1538-4357/abf3c2
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Star Formation Histories from Spectral Energy Distributions and Color–magnitude Diagrams Agree: Evidence for Synchronized Star Formation in Local Volume Dwarf Galaxies over the Past 3 Gyr

Abstract: Star formation histories (SFHs) reveal physical processes that influence how galaxies form their stellar mass. We compare the SFHs of a sample of 36 nearby (D ⪅ 4 Mpc) dwarf galaxies from the ACS Nearby Galaxy Survey Treasury (ANGST), inferred from the color–magnitude diagrams (CMDs) of individually resolved stars in these galaxies, with those reconstructed by broadband spectral energy distribution (SED) fitting using the dense basis SED-fitting code. When comparing individual SFHs, we introduce metrics for ev… Show more

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Cited by 12 publications
(16 citation statements)
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“…However, the differences are smaller than 2σ for the majority of clusters. This is consistent with the studies of Olsen et al (2021) and Johnson et al (2013), which compared CMD and SED fitting methods.…”
Section: Discussionsupporting
confidence: 91%
“…However, the differences are smaller than 2σ for the majority of clusters. This is consistent with the studies of Olsen et al (2021) and Johnson et al (2013), which compared CMD and SED fitting methods.…”
Section: Discussionsupporting
confidence: 91%
“…Spectral energy distributions (SEDs) derived from our aperture photometry were analysed using the DENSE BASIS method 18 (Iyer & Gawiser 2017;Iyer et al 2019) to determine nonparametric star formation histories (SFHs), masses, ages, metallicities, and dust extinction values for our compact sources. The DENSE BASIS fits were run with a single t 50 parameter, following the prescription of Iyer et al (2019), with the full methodology and validation tests presented by Iyer et al (2018Iyer et al ( , 2019 and Olsen et al (2021). The primary advantages of using nonparametric SFHs is that they allow us to account for multiple stellar populations, robustly derive SFH-related quantities including masses, star formation rates (SFRs), and ages, and allow us to set explicit priors in SFH space to prevent outshining due to younger stellar populations that could otherwise bias the estimates of these properties (Iyer & Gawiser 2017;Leja et al 2019;Lower et al 2020).…”
Section: Sed Fitting and Estimating The Physical Propertiesmentioning
confidence: 99%
“…The ANGST sample contains a diverse set of galaxies that, while nearby enough to be resolved, are also distant enough for integrated photometric observations. Olsen et al (2021) used these observations to compare the SFHs of Local Volume dwarf galaxies out to ∼4 Mpc from two SFH reconstruction methods corresponding to two types of observations. The first method is the CMD reconstruction method of Dolphin (2002) using Hubble Space Telescope (HST) images from the ANGST survey as shown in Weisz et al (2011a), and the second using the Dense Basis nonparametric spectral energy distribution (SED) fitting code (Iyer et al 2019) that fits the matched photometry from Johnson et al (2013) for 36 of the galaxies with good wavelength coverage.…”
Section: Introductionmentioning
confidence: 99%