2011
DOI: 10.1103/physrevd.83.083504
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Scale-dependent bias from the reconstruction of non-Gaussian distributions

Abstract: Primordial non-Gaussianity introduces a scale-dependent variation in the clustering of density peaks corresponding to rare objects. This variation, parametrized by the bias, is investigated on scales where a linear perturbation theory is sufficiently accurate. The bias is obtained directly in real space by comparing the one-and two-point probability distributions of density fluctuations. We show that these distributions can be reconstructed using a bivariate Edgeworth series, presented here up to an arbitraril… Show more

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Cited by 13 publications
(17 citation statements)
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“…A similar scale-dependent halo bias has been reported in the presence of the primordial trispectrum (see [42][43][44][45] for g nl -type and [45][46][47] for τ nl -type). Furthermore, the scale dependence in the halo bias is found to be present in other models of the primordial non-Gaussianities, such as the scale-dependent f nl model [48,49], ungaussiton model [50], and non-local non-Gaussian models [51][52][53].…”
Section: Introductionsupporting
confidence: 76%
“…A similar scale-dependent halo bias has been reported in the presence of the primordial trispectrum (see [42][43][44][45] for g nl -type and [45][46][47] for τ nl -type). Furthermore, the scale dependence in the halo bias is found to be present in other models of the primordial non-Gaussianities, such as the scale-dependent f nl model [48,49], ungaussiton model [50], and non-local non-Gaussian models [51][52][53].…”
Section: Introductionsupporting
confidence: 76%
“…Observational constraints on the bispectrum are given in [1] while constraints on g NL are given in [52,53] (see also [54]) and for both g NL and τ NL in [55]. Forecasts for future constraints on all three parameters are given in [56,57] while forecast constraints on n fNL are given in [16].…”
Section: Two Field Models Of Inflationmentioning
confidence: 99%
“…Further potentially interesting cosmological applications of the 21 cm forest include probes of primordial non-Gaussianity in relation to either the nonlinear, scale-dependent bias [64] or the halo mass function [65], and probes of isocurvature primordial perturbations (e.g [66]). We note that several recent papers have discussed the possibility of studying various aspects of the SSPS via the 21 cm emission signal [67], although efficient removal of the far brighter foreground emission poses a major observational challenge for realizing such prospects [29].…”
Section: Discussion and Summarymentioning
confidence: 99%