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Identification of Superclusters and Their Properties in the Sloan Digital Sky Survey Using the WHL Cluster Catalog

Physics

Identification of Superclusters and Their Properties in the Sloan Digital Sky Survey Using the WHL Cluster Catalog

S. Sankhyayan, J. Bagchi, et al.

This groundbreaking research by Shishir Sankhyayan and colleagues unveils a catalog of 662 superclusters, identified through a modified Friends of Friends algorithm. Spanning a vast redshift range and considerable sky area, these superclusters reveal fascinating insights into cosmic structure and evolution. Discover the profound correlations between supercluster density and their expansive reach in this intriguing study!

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~3 min • Beginner • English
Abstract
Superclusters are the largest massive structures in the cosmic web. The authors present a large catalog of 662 superclusters identified using a modified Friends-of-Friends (FoF) algorithm applied to the WHL (Wen-Han-Liu) galaxy cluster catalog within 0.05 ≤ z ≤ 0.42. The most massive supercluster at z ≈ 0.25 is newly identified and proposed to be named the Einasto Supercluster. The median supercluster mass is ≈ 5.8 × 10^15 M⊙ and median size ≈ 65 Mpc. The supercluster environment slightly biases cluster growth toward higher masses. Observed supercluster properties are compared with mock superclusters extracted from the Horizon Run 4 simulation and show broad agreement. A power-law correlation is found between density contrast and maximum extent with slope α ≈ −2. Phase-space analysis of mock superclusters indicates that on average ≈ 90% of a supercluster’s volume exerts gravitational influence on its constituents. The study also presents number density and peculiar velocity profiles of mock halos in and around superclusters.
Publisher
The Astrophysical Journal
Published On
Sep 12, 2023
Authors
Shishir Sankhyayan, Joydeep Bagchi, Elmo Tempel, Surhud More, Maret Einasto, Pratik Dabhade, Somak Raychaudhury, Ramana Athreya, Pekka Heinämäki
Tags
superclusters
Friends of Friends algorithm
redshift
cosmological simulation
density contrast
cluster growth
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