Cold Gas in Massive Galaxies as A Critical Test of Black Hole Feedback Models
Jingjing Shi, Yingjie Peng, Benedikt Diemer, Adam R. H. Stevens,, Annalisa Pillepich, Alvio Renzini, Jing Dou, Yu Gao, Qiusheng Gu, Luis C. Ho,, Xu Kong, Claudia del P. Lagos, Di Li, Jiaxuan Li, Roberto Maiolino, Filippo, Mannucci, Lizhi Xie, and Chengpeng Zhang

TL;DR
This paper evaluates black hole feedback models in galaxy simulations by comparing their predictions of neutral hydrogen gas content with recent observations, finding IllustrisTNG's model aligns best with real data.
Contribution
It introduces a novel observational constraint on black hole feedback models using neutral hydrogen gas measurements in massive galaxies.
Findings
IllustrisTNG's feedback model agrees with observed gas content better than others.
Kinetic winds driven by black holes at low accretion rates are favored.
Supports AGN feedback as a key mechanism for quenching massive galaxies.
Abstract
Black hole feedback has been widely implemented as the key recipe to quench star formation in massive galaxies in modern semi-analytic models and hydrodynamical simulations. As the theoretical details surrounding the accretion and feedback of black holes continue to be refined, various feedback models have been implemented across simulations, with notable differences in their outcomes. Yet, most of these simulations have successfully reproduced some observations, such as stellar mass function and star formation rate density in the local Universe. We use the recent observation on the change of neutral hydrogen gas mass (including both and ) with star formation rate of massive central disc galaxies as a critical constraint of black hole feedback models across several simulations. We find that the predictions of IllustrisTNG agree with the observations much better…
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