Characterising superclusters with the galaxy cluster distribution
Gayoung Chon, Hans Boehringer, Chris Collins, Martin Krause

TL;DR
This paper uses simulations and observational data to define superclusters by a minimum overdensity, confirming they trace dark matter well, and shows they contain most clusters despite occupying a small volume.
Contribution
It introduces a method to construct supercluster samples based on overdensity, linking cluster and dark matter distributions, and demonstrates superclusters' unique environment and mass function.
Findings
Superclusters are tightly correlated with dark matter overdensity.
Superclusters contain over half of the clusters in a small volume.
Superclusters have a top-heavy mass function confirmed by a Kolmogorov-Smirnov test.
Abstract
Superclusters are the largest, observed matter density structures in the Universe. Recently Chon et al.(2013) presented the first supercluster catalogue constructed with a well-defined selection function based on the X-ray flux-limited cluster survey, REFLEX II. For the construction of the sample we proposed a concept to find the large objects with a minimum overdensity such that most of their mass will collapse in the future. The main goal of the paper is to provide support for our concept using simulations that we can, on the basis of our observational sample of X-ray clusters, construct a supercluster sample defined by a certain minimum overdensity, and to test how superclusters trace the underlying dark matter distribution. Our results confirm that an overdensity in the number of clusters is tightly correlated with an overdensity of the dark matter distribution. This enables us to…
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