Are the halo occupation predictions consistent with large scale galaxy clustering?
Arnau Pujol, Enrique Gaztanaga

TL;DR
This study evaluates the accuracy of halo occupation distribution models in predicting galaxy clustering, revealing limitations due to assembly bias and substructure effects, especially for low-mass haloes.
Contribution
It demonstrates that HOD models with Friends of Friends groups improve clustering predictions and highlights the impact of assembly bias on mass estimates.
Findings
HOD with Friends of Friends groups reproduces clustering within 5%.
Clustering-based mass estimates are overestimated by 50%.
Assembly bias affects low-mass halo clustering predictions.
Abstract
We study how well we can reconstruct the 2-point clustering of galaxies on linear scales, as a function of mass and luminosity, using the halo occupation distribution (HOD) in several semi-analytical models (SAMs) of galaxy formation from the Millennium Simulation. We find that HOD with Friends of Friends groups can reproduce galaxy clustering better than gravitationally bound haloes. This indicates that Friends of Friends groups are more directly related to the clustering of these regions than the bound particles of the overdensities. In general we find that the reconstruction works at best to 5% accuracy: it underestimates the bias for bright galaxies. This translates to an overestimation of 50% in the halo mass when we use clustering to calibrate mass. We also found a degeneracy on the mass prediction from the clustering amplitude that affects all the masses. This effect is due to…
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