Evidence for galaxy assembly bias in BOSS CMASS redshift-space galaxy correlation function
Sihan Yuan, Boryana Hadzhiyska, Sownak Bose, Daniel J. Eisenstein, and, Hong Guo

TL;DR
This study introduces an extended galaxy-halo connection model incorporating environment-based assembly bias, demonstrating improved fits to galaxy clustering data and revealing the significance of environmental factors in galaxy formation.
Contribution
The paper presents a novel HOD model with environment-based assembly bias, showing its necessity for accurate galaxy clustering modeling and its impact on lensing predictions.
Findings
Inclusion of environment-based bias improves fit quality (chi^2/DoF=1.35)
Standard 5-parameter HOD is rejected by data
Galaxy clustering favors lower mass halos and positive environment bias
Abstract
Building accurate and flexible galaxy-halo connection models is crucial in modeling galaxy clustering on non-linear scales. Recent studies have found that halo concentration by itself cannot capture the full galaxy assembly bias effect and that the local environment of the halo can be an excellent indicator of galaxy assembly bias. In this paper, we propose an extended halo occupation distribution model (HOD) that includes both a concentration-based assembly bias term and an environment-based assembly bias term. We use this model to achieve a good fit (chi^2/DoF = 1.35) on the 2D redshift-space 2-point correlation function (2PCF) of the Baryon Oscillation Spectroscopic Survey (BOSS) CMASS galaxy sample. We find that the inclusion of both assembly bias terms is strongly favored by the data and the standard 5-parameter HOD is strongly rejected. More interestingly, the redshift-space 2PCF…
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