How robust are predictions of galaxy clustering?
Sergio Contreras, Carlton Baugh, Peder Norberg, Nelson Padilla

TL;DR
This study compares galaxy clustering predictions from different semi-analytical models using the Millennium Simulation, highlighting their similarities and differences, especially at small scales and for various galaxy properties.
Contribution
It provides a detailed comparison of galaxy occupation and clustering predictions from two major semi-analytical models, revealing current limitations and uncertainties.
Findings
Models agree well on stellar mass-based clustering at large scales.
Small-scale clustering differs due to satellite merging assumptions.
Uncertainty increases for cold gas and star formation rate-selected samples.
Abstract
We use the Millennium Simulation database to compare how different versions of the Durham and Munich semi-analytical galaxy formation models populate dark matter haloes with galaxies. The models follow the same physical processes but differ in how these are implemented. All of the models we consider use the Millennium N-body Simulation; however, the Durham and Munich groups use independent algorithms to construct halo merger histories. We compare the predicted halo occupation distributions (HODs) and correlation functions for galaxy samples defined by stellar mass, cold gas mass and star formation rate. The predictions for the HOD are remarkably similar for samples ranked by stellar mass. The predicted bias averaged over 5-25 Mpc/h is consistent between models to within 10%. At small pair separations there is a difference in the predicted clustering. This arises because the Durham…
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