What drives the HI content of central galaxies -- A comparison between hydrodynamic simulations and observations using Random Forest
Xiao Li, Cheng Li, Houjun Mo

TL;DR
This study compares hydrodynamic simulations and observations to identify key factors influencing the HI gas content in central galaxies, highlighting the roles of metallicity, black hole accretion, and star formation.
Contribution
It applies random forest regression to analyze galaxy properties in simulations and observations, revealing differences in feedback mechanisms affecting HI content.
Findings
Gas-phase metallicity is most important in both simulations.
Black hole accretion rate dominates in TNG, star formation rate in EAGLE.
EAGLE better reproduces observational property rankings.
Abstract
We investigate the driving mechanisms for the HI gas content in star-forming central galaxies at low redshift, by examining the HI-to-stelalr mass ratio () in both the state-of-the-art hydrodynamic simulations, IllustrisTNG (TNG) and EAGLE, and the xGASS sample. We quantify the correlations of with a variety of galaxy properties using the random forest regression technique, and we make comparisons between the two simulations, as well as between the simulations and xGASS. Gas-phase metallicity is found to be most important in both simulations, but is ranked mildly for xGASS, suggesting that metals and gas driven by feedback effects in real galaxies is not as tightly coupled as in the simulations. Beyond that, the accretion rate of supermassive black holes is the most important feature in TNG, while specific star formation rate is the top ranked in…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Computational Physics and Python Applications · Astronomy and Astrophysical Research
