Exploring Galaxy Formation Models and Cosmologies with Galaxy Clustering
X. Kang, M. Li, W. P. Lin, P. J. Elahi

TL;DR
This study compares galaxy clustering predictions from different galaxy formation models and cosmologies using simulations, highlighting the impact of baryonic physics and the limited sensitivity to cosmological parameters.
Contribution
It demonstrates how galaxy clustering data can constrain galaxy formation physics but is less effective for differentiating cosmological models.
Findings
Semi-analytical models overpredict small-scale clustering.
Abundance matching aligns well with data for high a9_8 cosmologies.
Small-scale excess clustering is linked to satellite galaxies in massive haloes.
Abstract
Using N-body simulations and galaxy formation models, we study the galaxy stellar mass correlation and the two-point auto-correlation. The simulations are run with cosmological parameters from the WMAP first, third and seven year results, which mainly differ in the perturbation amplitude of \sigma_{8}. The stellar mass of galaxies are determined using either a semi-analytical galaxy formation model or a simple empirical abundance matching method. Compared to the SDSS DR7 data at z=0 and the DEEP2 results at z=1, we find that the predicted galaxy clusterings from the semi-analytical model are higher than the data at small scales, regardless of the adopted cosmology. Conversely, the abundance matching method predicts good agreement with the data at both z=0 and z=1 for high \sigma_8 cosmologies (WMAP1 & WMAP7), but the predictions from a low \sigma_8 cosmology (WMAP3) are significantly…
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