Assembly Bias & Redshift-Space Distortions: Impact on cluster dynamics tests of general relativity

TL;DR

This paper investigates how assembly bias affects redshift-space distortion signals around clusters, revealing that halo properties influence velocity measurements and could impact tests of modified gravity theories.

Contribution

It demonstrates that assembly bias impacts velocity space in simulations, affecting RSD signals and highlighting the need for advanced galaxy formation models for accurate gravity tests.

Findings

High-concentration halos show 10-20% larger velocity dispersion.

Color-selection effects cause ~10% variation in RSD signals.

Assembly bias can mimic signals predicted by modified gravity models.

Abstract

The redshift-space distortion (RSD) of galaxies surrounding massive clusters is emerging as a promising testbed for theories of modified gravity. Conventional applications of this method rely upon the assumption that the velocity field in the cluster environment is uniquely determined by the cluster mass profile. Yet, real dark matter halos in N-body simulations are known to violate the assumption that virial mass determines the configuration space distribution, an effect known as assembly bias. In this Letter, I show that assembly bias in simulated dark matter halos also manifests in velocity space. In the 1-10 Mpc environment surrounding a cluster, high-concentration "tracer" halos exhibit a 10-20% larger pairwise-velocity dispersion profile relative to low-concentration tracer halos of the same mass. This difference is comparable to the size of the RSD signal predicted by f(R) models designed to account for the cosmic acceleration. I use the age matching technique to study how color-selection effects may influence the cluster RSD signal, finding a ~10% effect due to redder satellites preferentially occupying higher mass halos, and a ~5% effect due to assembly-biased colors of centrals. In order to use cluster RSD measurements to robustly constrain modified gravity, we likely will need to develop empirical galaxy formation models more sophisticated than any in the current literature.