paper

Assembly bias in the local PNG halo bias and its implication for fNL constraints

, , and

Published 17 January 2023 © 2023 IOP Publishing Ltd and Sissa Medialab
, , Citation Titouan Lazeyras et al JCAP01(2023)023 DOI 10.1088/1475-7516/2023/01/023

1475-7516/2023/01/023

Abstract

We use N-body simulations to study halo assembly bias (i.e., the dependence of halo clustering on properties beyond total mass) in the density and primordial non-Gaussianity (PNG) linear bias parameters b1 and bϕ, respectively. We consider concentration, spin and sphericity as secondary halo properties, for which we find a clear detection of assembly bias for b1 and bϕ. At fixed total mass, halo spin and sphericity impact b1 and bϕ in a similar manner, roughly preserving the shape of the linear bϕ(b1) relation satisfied by the global halo population. Halo concentration, however, drives b1 and bϕ in opposite directions. This induces significant changes to the bϕ(b1) relation, with higher concentration halos having higher amplitude of bϕ(b1). For z = 0.5 and b1 ≈ 2 in particular, the population comprising either all halos, those with the 33% lowest or those with the 33% highest concentrations have a PNG bias of bϕ ≈ 3, bϕ ≈ -1 and bϕ ≈ 9, respectively. Varying the halo concentration can make bϕ very small and even change its sign. These results have important ramifications for galaxy clustering constraints of the local PNG parameter fNL that assume fixed forms for the bϕ(b1) relation. We illustrate the significant impact of halo assembly bias in actual data using the BOSS DR12 galaxy power spectrum: assuming that BOSS galaxies are representative of all halos, the 33% lowest or the 33% highest concentration halos yields σfNL = 44, 165, 19, respectively. Our results suggest taking host halo concentration into account in galaxy selection strategies to maximize the signal-to-noise on fNL. They also motivate more simulation-based efforts to study the bϕ(b1) relation of halos and galaxies.

Export citation and abstract BibTeX RIS