New leaves of the tree: percolation analysis for cosmic web with discrete points
Jiajun Zhang, Dalong Cheng, Ming-Chung Chu

TL;DR
This paper introduces a novel percolation analysis method based on discrete galaxy points, utilizing the S-bb relation and PCCET model, to better understand cosmic web connectivity and higher-order correlations.
Contribution
It proposes the S-bb relation and PCCET model for analyzing cosmic web connectivity directly from discrete points, overcoming limitations of density field smoothing.
Findings
S-bb relation is robust against redshift distortion and incompleteness.
Mock galaxy catalogues match two-point correlations but not higher-order correlations.
S-bb relation reveals limitations of HAM in capturing higher-order correlations.
Abstract
Percolation analysis has long been used to quantify the connectivity of the cosmic web. Most of the previous work is based on density fields on grids. By smoothing into fields, we lose information about galaxy properties like shape or luminosity. Lack of mathematical model also limits our understanding of percolation analysis. In order to overcome these difficulties, we have studied percolation analysis based on discrete points. Using a Friends-of-Friends (FoF) algorithm, we generate the S-bb relation, between the fractional mass of the largest connected group (S) and the FoF linking length (bb). We propose a new model, the Probability Cloud Cluster Expansion Theory (PCCET) to relate the S-bb relation with correlation functions. We show that the S-bb relation reflects a combination of all orders of correlation functions. Using N-body simulation, we find that the S-bb relation is robust…
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