Abstract

We study the effect of primordial non-Gaussianity on the development of large-scale cosmic structure using high-resolution N-body simulations. In particular, we focus on the topological properties of the "cosmic web", quantitatively characterized by the Minkowski Functionals, for models with quadratic non-linearities with different values of the usual non-Gaussianity parameter fNL. In the weakly non-linear regime, we find that analytic formulae derived from perturbation theory agree with the numerical results within a few percent of the amplitude of each MF when |fNL|<1000. In the non-linear regime, the detailed behavior of the MFs as functions of threshold density deviates more strongly from the analytical curves, while the overall amplitude of the primordial non-Gaussian effect remains comparable to the perturbative prediction. When smaller-scale information is included, the influence of primordial non-Gaussianity becomes increasingly significant statistically due to decreasing sample variance. We find that the effect of the primordial non-Gaussianity with |fNL|=50 is comparable to the sample variance of mass density fields with a volume of 0.125(Gpc/h)^3 when they are smoothed by Gaussian filter at a scale of 5Mpc/h. The detectability of this effect in actual galaxy surveys will strongly depend upon residual uncertainties in cosmological parameters and galaxy biasing.

Highlights

  • According to the standard scenarios for the formation of largestructure in the Universe, the present-day cosmic density field evolves from small-amplitude initial fluctuations which are described by Gaussian statistics

  • The N-body simulations with primordial non-Gaussianity that we use for this analysis are those described in Grossi et al (2007)

  • The first is whether the non-linear behaviour seen in numerical simulations matches the predictions of analytical approaches

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Summary

Introduction

According to the standard scenarios for the formation of largestructure in the Universe, the present-day cosmic density field evolves from small-amplitude initial fluctuations which are described by Gaussian statistics. Bartolo, Matarrese & Riotto 2002; Bernardeau & Uzan 2002; Lyth, Ungarelli & Wands 2003; Alishahiha, Silverstein & Tong 2004; Arkani-Hamed et al 2004; Bartolo et al 2004; Dvali, Gruzinov & Zaldarriaga 2004; Battefeld & Battefeld 2007; Chen, Richard & Eugene 2007) When such phenomena are detected will it be possible to distinguish between the hundreds of presently viable variations on the theme of inflation by understanding the dynamical behaviour of the inflation field

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