A Systematic Search of Distant Superclusters with the Subaru Hyper Suprime-Cam Survey

Bibliographic Details
Title: A Systematic Search of Distant Superclusters with the Subaru Hyper Suprime-Cam Survey
Authors: Chen, Tsung-Chi, Lin, Yen-Ting, Schive, Hsi-Yu, Oguri, Masamune, Chen, Kai-Feng, Okabe, Nobuhiro, Ali, Sadman, Bottrell, Connor, Dalal, Roohi, Koyama, Yusei, Monteiro-Oliveira, Rogério, Shimakawa, Rhythm, Goto, Tomotsugu, Hsieh, Bau-Ching, Kodama, Tadayuki, Nishizawa, Atsushi J.
Publication Year: 2024
Collection: Astrophysics
Subject Terms: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies
More Details: Superclusters, encompassing environments across a wide range of overdensities, can be regarded as unique laboratories for studying galaxy evolution. Although numerous supercluster catalogs have been published, none of them goes beyond redshift $z=0.7$. In this work, we adopt a physically motivated supercluster definition, requiring that superclusters should eventually collapse even in the presence of dark energy. Applying a friends-of-friends (FoF) algorithm to the CAMIRA cluster sample constructed using the Subaru Hyper Suprime-Cam survey data, we have conducted the first systematic search for superclusters at $z=0.5-1.0$ and identified 673 supercluster candidates over an area of 1027 deg$^2$. The FoF algorithm is calibrated by evolving $N$-body simulations to the far future to ensure high purity. We found that these high-$z$ superclusters are mainly composed of $2-4$ clusters, suggesting the limit of gravitationally bound structures in the younger Universe. In addition, we studied the properties of the clusters and brightest cluster galaxies (BCGs) residing in different large-scale environments. We found that clusters associated with superclusters are typically richer, but no apparent dependence of the BCG properties on large-scale structures is found. We also compared the abundance of observed superclusters with mock superclusters extracted from halo light cones, finding that photometric redshift uncertainty is a limiting factor in the performance of superclusters detection.
Comment: Accepted by ApJ. 36 pages, 26 figures, 7 tables
Document Type: Working Paper
Access URL: http://arxiv.org/abs/2401.10322
Accession Number: edsarx.2401.10322
Database: arXiv
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