Non-Separable Halo Bias from High-Redshift Galaxy Clustering
Emy Mons, Vipul Prasad Maranchery, M. S. Suryan Sivadas, Charles Jose
TL;DR
The study tests the long-standing separability assumption of halo bias in the halo model on quasi-linear scales by leveraging large-volume Abacus simulations and high-redshift galaxy data from HSC-SSP. By defining and measuring the separability function s(M1,M2,r,z) from halo cross- and auto-correlations, the authors find substantial non-separability on ~1–5 Mpc scales that grows with redshift and halo mass, with s as low as ~0.45 at z~3 for massive, widely separated mass pairs. Observational measurements using z~3.6 LBGs yield strong evidence for non-separability, consistent with simulation predictions, and the effect persists even after accounting for satellites via a simple HOD. These results imply that non-separable, scale-dependent halo bias must be modeled to accurately interpret high-z clustering and that cross-correlation measurements offer a powerful avenue to improve the galaxy–halo connection in upcoming surveys.
Abstract
The halo model provides a powerful framework for interpreting galaxy clustering by linking the spatial distribution of dark matter haloes to the underlying matter distribution. A key assumption within the halo bias approximation of the halo model is that, on sufficiently large scales, the halo bias between two halo populations is a separable function of the mass of each population. In this work, we test the validity of this approximation on quasi-linear scales using both simulations and observational data across a broad range of halo masses and redshifts. In particular, we define a separability function based on halo or galaxy cross-correlations to quantify deviations from halo bias separability, and measure it from N-body simulations. We find significant departures from separability on quasi-linear scales (\(\sim 1\text{--}5\,\mathrm{Mpc}\)) at high redshifts (\(z \geq 3\)), leading to a suppression in the scale-dependent halo bias and hence in halo cross-correlations by up to a factor of 2 -- or even higher. In contrast, deviations at low redshifts remain modest. Additionally, using high-redshift (\(z \sim 3.6\)) galaxy samples, we detect deviations from bias separability that closely align with simulation predictions. The breakdown of the separable bias approximation on quasi-linear scales at high redshifts underscore the importance to account for non-separability in models of the galaxy-halo connection in this regime. Furthermore, these results highlight the potential of high-redshift galaxy cross-correlations as a probe for improving the galaxy-halo connection from upcoming large-scale surveys.
