Nonlinear clustering in models with primordial non-Gaussianity: the halo model approach
Robert E. Smith (UZurich, UBonn), Vincent Desjacques (UZurich) and, Laura Marian (UBonn)

TL;DR
This paper develops an advanced halo model to accurately probe primordial non-Gaussianity's effects on large-scale structure, focusing on matter clustering and halo properties across redshifts, with implications for future cosmological surveys.
Contribution
It introduces a refined halo model incorporating halo exclusion and density profile changes due to non-Gaussianity, validated against simulations, enhancing the analysis of primordial non-Gaussianity effects.
Findings
Halo exclusion can resolve excess large-scale power issues.
Density profiles of halos vary with f_NL, affecting concentration.
Matter power spectrum is modified by up to 3.5% at relevant scales.
Abstract
We develop the halo model of large-scale structure as an accurate tool for probing primordial non-Gaussianity. In this study we focus on understanding the matter clustering at several redshifts. The primordial non-Gaussianity is modeled as a quadratic correction to the local Gaussian potential, and is characterized by the parameter f_NL. In our formulation of the halo model we pay special attention to the effect of halo exclusion, and show that this can potentially solve the long standing problem of excess power on large scales in this model. The model depends on the mass function, clustering and density profiles of halos. We test these ingredients using a large ensemble of high-resolution Gaussian and non-Gaussian numerical simulations. In particular, we provide a first exploration of how density profiles change in the presence of primordial non-Gaussianities. We find that for f_NL…
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