Halo clustering and g_{NL}-type primordial non-Gaussianity
Kendrick M. Smith, Simone Ferraro, Marilena LoVerde

TL;DR
This paper investigates how primordial non-Gaussianity of the g_{NL} type affects halo clustering, providing a new bias expression validated by simulations to help constrain early universe models.
Contribution
It introduces a simple, theoretically motivated halo bias formula for g_{NL}-type non-Gaussianity, validated by simulations, aiding observational constraints.
Findings
Derived a halo bias expression consistent with N-body simulations.
Identified limitations in constraining g_{NL} from low-bias tracer populations.
Validated two analytic methods for studying halo clustering in non-Gaussian models.
Abstract
A wide range of multifield inflationary models generate non-Gaussian initial conditions in which the initial adiabatic fluctuation is of the form (zeta_G + g_{NL} zeta_G^3). We study halo clustering in these models using two different analytic methods: the peak-background split framework, and brute force calculation in a barrier crossing model, obtaining agreement between the two. We find a simple, theoretically motivated expression for halo bias which agrees with N-body simulations and can be used to constrain g_{NL} from observations. We discuss practical caveats to constraining g_{NL} using only observable properties of a tracer population, and argue that constraints obtained from populations whose observed bias is <~ 2.5 are generally not robust to uncertainties in modeling the halo occupation distribution of the population.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
