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A Pair of Early- and Late-Forming Galaxy Cluster Samples: a Novel Way of Studying Halo Assembly Bias Assisted by a Constrained Simulation

Authors :
Lin, Yen-Ting
Miyatake, Hironao
Guo, Hong
Chiang, Yi-Kuan
Chen, Kai-Feng
Lan, Ting-Wen
Chang, Yu-Yen
Source :
A&A 666, A97 (2022)
Publication Year :
2022

Abstract

The halo assembly bias, a phenomenon referring to dependencies of the large-scale bias of a dark matter halo other than its mass, is a fundamental property of the standard cosmological model. First discovered in 2005 from the Millennium Run simulation, it has been proven very difficult to be detected observationally, with only a few convincing claims of detection so far. The main obstacle lies in finding an accurate proxy of the halo formation time. In this study, by utilizing a constrained simulation that can faithfully reproduce the observed structures larger than $2\,$Mpc in the local universe, for a sample of 634 massive clusters at $z\le 0.12$, we find their counterpart halos in the simulation and use the mass growth history of the matched halos to estimate the formation time of the observed clusters. This allows us to construct a pair of early- and late-forming clusters, with similar mass as measured via weak gravitational lensing, and large-scale bias differing at $\approx 3\sigma$ level, suggestive of the signature of assembly bias, which is further corroborated by the properties of cluster galaxies, including the brightest cluster galaxy, and the spatial distribution and number of member galaxies. Our study paves a way to further detect assembly bias based on cluster samples constructed purely on observed quantities.<br />Comment: 10 pages, 4 Figures. Accepted for publication in A&A

Details

Database :
arXiv
Journal :
A&A 666, A97 (2022)
Publication Type :
Report
Accession number :
edsarx.2202.01795
Document Type :
Working Paper
Full Text :
https://doi.org/10.1051/0004-6361/202244404