Linking haloes to galaxies: how many halo properties are needed?
Eyal Neistein, Simone M. Weinmann, Cheng Li, Michael Boylan-Kolchin

TL;DR
This study investigates how multiple halo properties influence galaxy clustering predictions, revealing that incorporating group mass at redshift zero improves empirical models, while infall redshift alone is insufficient.
Contribution
It demonstrates that multiple halo properties, especially group mass at redshift zero, are necessary for accurate galaxy clustering models, challenging simpler one-parameter approaches.
Findings
Using group mass at redshift zero improves clustering predictions.
Infall redshift alone is less effective in modeling galaxy clustering.
Environmental effects significantly impact galaxy-halo relations.
Abstract
Recent studies emphasize that an empirical relation between the stellar mass of galaxies and the mass of their host dark matter subhaloes can predict the clustering of galaxies and its evolution with cosmic time. In this paper we study the assumptions made by this methodology using a semi-analytical model (SAM). To this end, we randomly swap between the locations of model galaxies within a narrow range of subhalo mass (M_infall). We find that shuffled samples of galaxies have different auto-correlation functions in comparison with the original model galaxies. This difference is significant even if central and satellite galaxies are allowed to follow a different relation between M_infall and stellar mass, and can reach a factor of 2 for massive galaxies at redshift zero. We analyze three features within SAMs that contribute to this effect: a) The relation between stellar mass and subhalo…
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