The bispectrum covariance beyond Gaussianity: A log-normal approach
Sandra Martin, Peter Schneider, Patrick Simon (AIfA Bonn)

TL;DR
This paper evaluates the validity of the Gaussian approximation for bispectrum covariance in non-Gaussian cosmological fields, especially in cosmic shear studies, using log-normal simulations to determine the approximation's range of applicability.
Contribution
It introduces a simple log-normal model to assess the Gaussian approximation's accuracy for bispectrum covariance in non-Gaussian fields, providing practical criteria for its use in cosmology.
Findings
Gaussian approximation is valid for .6 in non-Gaussianity parameter nd on scales >8g.
Approximate validity extends to for nd on scales >8g.
Cosmic shear fields are well-described by .7 at g, supporting the use of Gaussian approximation.
Abstract
To investigate and specify the statistical properties of cosmological fields with particular attention to possible non-Gaussian features, accurate formulae for the bispectrum and the bispectrum covariance are required. The bispectrum is the lowest-order statistic providing an estimate for non-Gaussianities of a distribution, and the bispectrum covariance depicts the errors of the bispectrum measurement and their correlation on different scales. Currently, there do exist fitting formulae for the bispectrum and an analytical expression for the bispectrum covariance, but the former is not very accurate and the latter contains several intricate terms and only one of them can be readily evaluated from the power spectrum of the studied field. Neglecting all higher-order terms results in the Gaussian approximation of the bispectrum covariance. We study the range of validity of this Gaussian…
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