First results from SMAUG: The need for preventative stellar feedback and improved baryon cycling in semi-analytic models of galaxy formation
Viraj Pandya, Rachel S. Somerville, Daniel Angl\'es-Alc\'azar,, Christopher C. Hayward, Greg L. Bryan, Drummond B. Fielding, John C. Forbes,, Blakesley Burkhart, Shy Genel, Lars Hernquist, Chang-Goo Kim, Stephanie, Tonnesen, Tjitske Starkenburg

TL;DR
This study compares semi-analytic models and hydrodynamical simulations of galaxy formation, revealing significant discrepancies due to missing preventative feedback in models, and proposes a new feedback mechanism to improve predictions.
Contribution
The paper introduces a new preventative stellar feedback model to address discrepancies in galaxy formation simulations and semi-analytic models.
Findings
SAM underestimates circumgalactic mass compared to FIRE-2
SAM predicts higher gas accretion rates for dwarfs
Proposed feedback model suppresses gas accretion effectively
Abstract
Semi-analytic models (SAMs) are a promising means of tracking the physical processes associated with galaxy formation, but many of their approximations have not been rigorously tested. As part of the SMAUG (Simulating Multiscale Astrophysics to Understand Galaxies) project, we compare predictions from the FIRE-2 hydrodynamical "zoom-in" simulations to those from the Santa Cruz SAM run on the same halo merger trees, with an emphasis on the global mass flow cycle. Our study includes 13 halos spanning low-mass dwarfs (M_vir~10^10 M_sun at z=0), intermediate-mass dwarfs (M_vir~10^11 M_sun) and Milky Way-mass galaxies (M_vir~10^12 M_sun). The SAM and FIRE-2 predictions agree relatively well with each other in terms of stellar and interstellar mass, but differ dramatically on circumgalactic mass (the SAM is lower than FIRE-2 by ~3 orders of magnitude for dwarfs). Strikingly, the SAM predicts…
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