Statistical nature of non-Gaussianity from cubic order primordial perturbations: CMB map simulations and genus statistic
Pravabati Chingangbam, Changbom Park

TL;DR
This paper investigates the non-Gaussian features in CMB maps caused by cubic order primordial perturbations, analyzing how these features deviate from Gaussian expectations using genus statistics and related measures.
Contribution
It introduces a novel analysis of non-Gaussianity from cubic perturbations in CMB maps, highlighting distinct signatures from quadratic perturbations and proposing new statistical tools for differentiation.
Findings
Non-Gaussian genus deviations are antisymmetric and sine-shaped.
Deviations increase linearly with the non-linearity parameter g_{NL}.
Derived statistics can distinguish between g_{NL} and f_{NL} non-Gaussianities.
Abstract
We simulate CMB maps including non-Gaussianity arising from cubic order perturbations of the primordial gravitational potential, characterized by the non-linearity parameter . The maps are used to study the characteristic nature of the resulting non-Gaussian temperature fluctuations. We measure the genus and investigate how it deviates from Gaussian shape as a function of and smoothing scale. We find that the deviation of the non-Gaussian genus curve from the Gaussian one has an antisymmetric, sine function like shape, implying more hot and more cold spots for and less of both for . The deviation increases linearly with and also exhibits mild increase as the smoothing scale increases. We further study other statistics derived from the genus, namely, the number of hot spots, the number of cold spots, combined number of hot and cold spots and…
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