Why do semi-analytic models predict higher scatter in the stellar mass-halo mass relation than cosmological hydrodynamic simulations?
Antonio J. Porras-Valverde, John C. Forbes, Rachel S. Somerville, Adam, R. H. Stevens, Kelly Holley-Bockelmann, Andreas A. Berlind, Shy Genel

TL;DR
This study investigates why semi-analytic models predict higher stellar mass scatter than hydrodynamical simulations, finding that modifications to black hole modeling and AGN feedback can reduce this discrepancy.
Contribution
The paper introduces new black hole formation models and feedback modifications in semi-analytic models to better match the scatter observed in hydrodynamical simulations.
Findings
Black hole seeding and fixed distribution models reduce stellar mass scatter.
Turning off cooling for massive black holes significantly decreases scatter.
AGN feedback in SAMs differs from that in cosmological simulations.
Abstract
Semi-analytic models (SAMs) systematically predict higher stellar-mass scatter at a given halo mass than hydrodynamical simulations and most empirical models. Our goal is to investigate the physical origin of this scatter by exploring modifications to the physics in the SAM Dark Sage. We design two black hole formation models that approximate results from the IllustrisTNG 300-1 hydrodynamical simulation. In the first model, we assign a fixed black hole mass of to every halo that reaches . In the second model, we disregard any black hole growth as implemented in the standard Dark Sage model. Instead, we force all black hole masses to follow the median black hole mass-halo mass relation in IllustrisTNG 300-1 with a fixed scatter. We find that each model on its own does not significantly reduce the scatter in stellar mass. To do…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Scientific Research and Discoveries
