Testing the Accuracy of Halo Occupation Distribution Modelling using Hydrodynamic Simulations
Gillian D. Beltz-Mohrmann, Andreas A. Berlind, Adam O. Szewciw

TL;DR
This study evaluates how well halo occupation distribution models can replicate galaxy clustering in hydrodynamic simulations, revealing the importance of halo mass function corrections and additional bias parameters for accurate modeling.
Contribution
It demonstrates that with halo mass function adjustments and bias parameters, HOD models can accurately reproduce galaxy clustering from hydrodynamic simulations.
Findings
HOD models match clustering after halo mass function correction.
Baryons cause different halo mass function shifts in simulations.
Additional bias parameters improve low luminosity galaxy clustering accuracy.
Abstract
Halo models provide a simple and computationally inexpensive way to investigate the connection between galaxies and their dark matter haloes. However, these models rely on the assumption that the role of baryons can be easily parametrized in the modelling procedure. We aim to examine the ability of halo occupation distribution (HOD) modelling to reproduce the galaxy clustering found in two different hydrodynamic simulations, Illustris and EAGLE. For each simulation, we measure several galaxy clustering statistics on two different luminosity threshold samples. We then apply a simple five parameter HOD, which was fit to each simulation separately, to the corresponding dark matter only simulations, and measure the same clustering statistics. We find that the halo mass function is shifted to lower masses in the hydrodynamic simulations, resulting in a galaxy number density that is too high…
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