REVIEW 1 cited by
Genus Statistics of the Large-Scale Structure with Non-Gaussian Density Fields
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
abstract
As a statistical measure to quantify the topological structure of the large-scale structure in the universe, the genus number is calculated for a number of non-Gaussian distributions in which the density field is characterized by a nontrivial function of some Gaussian-distributed random numbers. As a specific example, the formulae for the lognormal and the chi-square distributions are derived and compared with the results of $N$-body simulations together with the previously known formulae for the Gaussian distribution and second-order perturbation theory. It is shown that the lognormal formula fits most of the simulation data the best.
Forward citations
Cited by 1 Pith paper
-
Understanding the non-Gaussian nature of Galactic foreground emissions towards small scales
Galactic foregrounds display a universal excess-kurtosis non-Gaussian signature stable across scales that arises from heavy-tailed one-point statistics plus steep spatial correlations.
Discussion (0). Sign in to comment.