Detection of galaxy assembly bias
Lan Wang, Simone M. Weinmann, Gabriella De Lucia, Xiaohu Yang

TL;DR
This paper investigates how galaxy clustering depends on formation history, revealing that assembly bias influences galaxy clustering beyond halo mass effects, with observational and semi-analytical evidence supporting this phenomenon.
Contribution
It demonstrates that assembly bias directly affects galaxy clustering and shows that this effect can be observed in both models and real data, challenging previous assumptions.
Findings
Clustering of central galaxies depends on specific star formation rate.
Assembly bias has a stronger impact on clustering than halo mass.
Observed trends are not driven by halo mass variations.
Abstract
Assembly bias describes the finding that the clustering of dark matter haloes depends on halo formation time at fixed halo mass. In this paper, we analyse the influence of assembly bias on galaxy clustering using both semi-analytical models (SAMs) and observational data. At fixed stellar mass, SAMs predict that the clustering of {\it central} galaxies depends on the specific star formation rate (sSFR), with more passive galaxies having a higher clustering amplitude. We find similar trends using SDSS group catalogues, and verify that these are not affected by possible biases due to the group finding algorithm. Low mass central galaxies reside in narrow bins of halo mass, so the observed trends of higher clustering amplitude for galaxies with lower sSFR is not driven by variations of the parent halo mass. We argue that the clustering dependence on sSFR represent a direct detection of…
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