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Constraining the inner density slope of massive galaxy clusters.

He, Qiuhan and Li, Hongyu and Li, Ran and Frenk, Carlos S. and Schaller, Matthieu and Barnes, David J. and Bahé, Yannick M. and Kay, Scott T. and Gao, Liang and Vecchia, Claudio Dalla (2020) 'Constraining the inner density slope of massive galaxy clusters.', Monthly notices of the Royal Astronomical Society., 496 (4). pp. 4717-4733.

Abstract

We determine the inner density profiles of massive galaxy clusters (M200 > 5 × 1014 M⊙) in the Cluster-EAGLE (C-EAGLE) hydrodynamic simulations, and investigate whether the dark matter density profiles can be correctly estimated from a combination of mock stellar kinematical and gravitational lensing data. From fitting mock stellar kinematics and lensing data generated from the simulations, we find that the inner density slopes of both the total and the dark matter mass distributions can be inferred reasonably well. We compare the density slopes of C-EAGLE clusters with those derived by Newman et al. for 7 massive galaxy clusters in the local Universe. We find that the asymptotic best-fit inner slopes of “generalized” NFW (gNFW) profiles, γgNFW, of the dark matter haloes of the C-EAGLE clusters are significantly steeper than those inferred by Newman et al. However, the mean mass-weighted dark matter density slopes of the simulated clusters are in good agreement with the Newan et al. estimates. We also find that the estimate of γgNFW is very sensitive to the constraints from weak lensing measurements in the outer parts of the cluster and a bias can lead to an underestimate of γgNFW.

Item Type:Article
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1093/mnras/staa1769
Publisher statement:This article has been accepted for publication in Monthly notices of the Royal Astronomical Society. ©: 2020 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
Date accepted:09 June 2020
Date deposited:26 May 2021
Date of first online publication:19 June 2020
Date first made open access:26 May 2021

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