Halo Stochasticity from Exclusion and non-linear Clustering
Tobias Baldauf, Uro\v{s} Seljak, Robert E. Smith, Nico Hamaus, Vincent, Desjacques

TL;DR
This paper investigates deviations from Poisson shot noise in galaxy clustering due to halo exclusion and non-linear clustering, providing models to improve cosmological parameter extraction from galaxy surveys.
Contribution
It develops models for scale-dependent stochasticity caused by halo exclusion and non-linear clustering, extending beyond the simple Poisson shot noise assumption.
Findings
Deviations from Poisson noise are significant at large scales.
Halo exclusion causes negative stochasticity correction at low wavenumbers.
Non-linear clustering enhances stochasticity outside the exclusion scale.
Abstract
The clustering of galaxies in ongoing and upcoming galaxy surveys contains a wealth of cosmological information, but extracting this information is a non-trivial task since galaxies and their host haloes are stochastic tracers of the matter density field. This stochasticity is usually modeled as Poisson shot noise, which is constant as a function of wavenumber with amplitude given by 1/n, where n is the number density of galaxies. Here we use dark matter haloes in N-body simulations to show evidence for deviations from this simple behaviour and develop models that explain the behaviour of the large scale stochasticity. First, haloes are extended, non-overlapping objects, i.e., their correlation function needs to go to -1 on small scales. This leads to a negative correction to the stochasticity relative to the Poisson value at low wavenumber k, decreasing to zero for wavenumbers large…
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