Connecting clustering and the cosmic web:Observational constraints on secondary halo bias
Facundo Rodriguez, Antonio D. Montero-Dorta

TL;DR
This paper detects and characterizes secondary halo bias in observational galaxy group data, revealing how galaxy properties and environment influence clustering beyond halo mass, with implications for galaxy evolution and cosmology.
Contribution
It provides the first robust observational detection of secondary halo bias using galaxy groups, linking galaxy colour and environment to clustering at fixed halo mass.
Findings
Red central galaxy groups are more strongly clustered than blue ones.
Environmental density correlates with increased clustering strength.
Local overdensity is the strongest environmental predictor of halo bias.
Abstract
Cosmological simulations predict significant secondary dependencies of halo clustering on internal properties and environment. Detecting these subtle signals in observational data remains challenging, with important ramifications for galaxy evolution and cosmology. We probe secondary halo bias in observational survey data, using galaxy groups as dark matter halo proxies. We quantify secondary bias using central galaxy colour and environmental diagnostics. We use an extended, refined galaxy group catalogue from the Sloan Digital Sky Survey. Secondary bias is defined as any deviation in group clustering strength at fixed mass, quantified through the projected two-point correlation function. Our environmental analysis uses DisPerSE to compute distances to critical points of the density field, incorporating local group overdensity measurements on multiple scales. We robustly detect several…
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