TL;DR
Diffstar is a physically motivated, parametric model for galaxy star formation histories that accurately fits simulation data and reveals differences in galaxy evolution between the IllustrisTNG and UniverseMachine models.
Contribution
It introduces a new, physics-based parametric model for galaxy SFH directly linked to halo assembly, enabling detailed comparison of galaxy formation in different simulations.
Findings
Diffstar accurately models galaxy SFHs with ~0.1 dex precision.
UM galaxies are less efficient and burstier in star formation than TNG.
Rejuvenated star formation is common in UM but rare in TNG.
Abstract
We present Diffstar, a smooth parametric model for the in-situ star formation history (SFH) of galaxies. Diffstar is distinct from conventional SFH models that are used to interpret the spectral energy distribution (SED) of an observed galaxy, because our model is parametrized directly in terms of basic features of galaxy formation physics. The Diffstar model assumes that star formation is fueled by the accretion of gas into the dark matter halo of the galaxy, and at the foundation of Diffstar is a parametric model for halo mass assembly, Diffmah. We include parametrized ingredients for the fraction of accreted gas that is eventually transformed into stars, and for the timescale over which this transformation occurs, some galaxies in Diffstar experience a quenching event at time and may subsequently experience rejuvenated star…
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