New Statistical Perspective to The Cosmic Void Distribution
Jean-Renaud Pycke, Esra Russell (New York University Abu Dhabi)

TL;DR
This paper introduces a new statistical model for cosmic void size distribution using a 3-parameter log-normal function derived from the Cosmic Void Catalog, revealing potential links between voids and galaxy mass distributions.
Contribution
It presents a novel, parameter-free log-normal void probability function directly from observational data, linking void size distribution to galaxy mass distribution and nonlinear cosmic mechanisms.
Findings
Void size distribution fits a 3-parameter log-normal model.
Void and galaxy mass distributions show similar shapes.
Possible evidence of nonlinear mechanisms influencing both voids and galaxies.
Abstract
In this study, we obtain the size distribution of voids as a 3-parameter redshift independent log-normal void probability function (VPF) directly from the Cosmic Void Catalog (CVC). Although many statistical models of void distributions are based on the counts in randomly placed cells, the log-normal VPF that we here obtain is independent of the shape of the voids due to the parameter-free void finder of the CVC. We use three void populations drawn from the CVC generated by the Halo Occupation Distribution (HOD) Mocks which are tuned to three mock SDSS samples to investigate the void distribution statistically and the effects of the environments on the size distribution. As a result, it is shown that void size distributions obtained from the HOD Mock samples are satisfied by the 3-parameter log-normal distribution. In addition, we find that there may be a relation between hierarchical…
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