Modeling Star Formation Histories of Post Starburst Galaxies with BAGPIPES
Research Notes of the AAS(2023)
Abstract
Abstract Post-starburst galaxies provide insights into quenching mechanisms. While these galaxies show signs of quiescence, obtaining accurate star formation rates (SFRs) is difficult. This research uses BAGPIPES, a Bayesian spectrum-fitting code, to obtain model spectra of 13 galaxies. From these models, we calculate SFRs over 10 and 100 Myr durations. We compare these SFRs to published Hα and total infrared (TIR) SFRs to examine biases in these measurements. We find that the BAGPIPES-inferred 10, 100 Myr SFRs are comparable with Hα and TIR traced SFRs, respectively, with longer-duration tracers showing systematically higher SFRs.
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