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Open AccessJournal ArticleDOI

The angle-averaged squeezed limit of nonlinear matter N-point functions

TLDR
In this paper, it was shown that the N-point function of matter is related to the response of the matter power spectrum to a long-wavelength density perturbation, with n=N−2.
Abstract
Assuming Gaussian initial conditions, we show that in a certain, angle-averaged squeezed limit the N-point function of matter is related to the response of the matter power spectrum to a long-wavelength density perturbation, P−1dnP(k|δL)/dδLn|δL=0, with n=N−2. By performing N-body simulations with a homogeneous overdensity superimposed on a flat Friedmann-Robertson-Lemaȋtre-Walker (FRLW) universe using the separate universe approach, we obtain measurements of the nonlinear matter power spectrum response up to n=3, which is equivalent to measuring the fully nonlinear matter 3- to 5-point function in this squeezed limit. The sub-percent to few percent accuracy of those measurements is unprecedented. We then test the hypothesis that nonlinear N-point functions at a given time are a function of the linear power spectrum at that time, which is predicted in an Einstein-de Sitter (EdS) universe by standard perturbation theory (SPT) and its variants that are based on the ideal pressureless fluid equations. Specifically, we compare the responses computed from the separate universe simulations and simulations with a rescaled initial (linear) power spectrum amplitude. We find discrepancies of 10% at k 0.2–0.5 h Mpc−1 for 5- to 3-point functions at z=0. The discrepancy occurs at higher wavenumbers at z=2. Thus, theoretical predictions that are insensitive to the growth history, such as SPT and its variants assuming EdS, even when carried out to arbitrarily high order, are guaranteed to fail to describe matter N-point functions (N>2) around that scale.

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Journal ArticleDOI

Large-scale galaxy bias

TL;DR: In this paper, the authors present a comprehensive overview of galaxy bias, that is, the statistical relation between the distribution of galaxies and matter, which forms the basis of the rigorous perturbative description of galaxy clustering, under the assumptions of General Relativity and Gaussian, adiabatic initial conditions.
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Large-Scale Galaxy Bias

TL;DR: In this article, a comprehensive overview of galaxy bias is presented, that is, the statistical relation between the distribution of galaxies and matter, under the assumptions of General Relativity and Gaussian, adiabatic initial conditions.
Journal ArticleDOI

Precision measurement of the local bias of dark matter halos

TL;DR: In this paper, the linear, quadratic, and cubic local bias of dark matter halos was measured using curved "separate universe" N-body simulations which effectively incorporate an infinite-wavelength overdensity.
Journal ArticleDOI

Constraining primordial non-Gaussianity with bispectrum and power spectrum from upcoming optical and radio surveys

TL;DR: In this article, the authors forecast constraints on primordial non-Gaussianity (PNG) and bias parameters from measurements of galaxy power spectrum and bispectrum in future radio continuum and optical surveys.
Journal ArticleDOI

On separate universes

TL;DR: In this paper, it was shown that nonlinear gravitational dynamics does not generate observable contributions that scale like local-type non-Gaussianity flocNL, and hence does not contribute to a scale-dependent galaxy bias Δ b ∆ ∆ k−2 on large scales.
References
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Journal ArticleDOI

A Universal Density Profile from Hierarchical Clustering

TL;DR: In this article, the authors used high-resolution N-body simulations to study the equilibrium density profiles of dark matter halos in hierarchically clustering universes, and they found that all such profiles have the same shape, independent of the halo mass, the initial density fluctuation spectrum, and the values of the cosmological parameters.
Journal ArticleDOI

The Cosmological simulation code GADGET-2

TL;DR: GADGET-2 as mentioned in this paper is a massively parallel tree-SPH code, capable of following a collisionless fluid with the N-body method, and an ideal gas by means of smoothed particle hydrodynamics.
Journal ArticleDOI

Large scale bias and the peak background split

TL;DR: In this paper, a simple model was proposed to estimate the bias of dark matter halos and their spatial distribution on large scales using the unconditional mass function, which was measured in numerical simulations of SCDM, OCDM and ΛCDM.
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