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Constraining the inner density slope of massive galaxy clusters.

Authors :
He, Qiuhan
Li, Hongyu
Li, Ran
Frenk, Carlos S
Schaller, Matthieu
Barnes, David
Bahé, Yannick
Kay, Scott T
Gao, Liang
Dalla Vecchia, Claudio
Source :
Monthly Notices of the Royal Astronomical Society; Aug2020, Vol. 496 Issue 4, p4717-4733, 17p
Publication Year :
2020

Abstract

We determine the inner density profiles of massive galaxy clusters (M <subscript>200</subscript> > 5 × 10<superscript>14</superscript> M<subscript>⊙</subscript>) 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 seven massive galaxy clusters in the local Universe. We find that the asymptotic best-fitting inner slopes of 'generalized' Navarro–Frenk–White (gNFW) profiles, γ<subscript>gNFW</subscript>, 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 Newman et al. estimates. We also find that the estimate of γ<subscript>gNFW</subscript> 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 γ<subscript>gNFW</subscript>. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00358711
Volume :
496
Issue :
4
Database :
Complementary Index
Journal :
Monthly Notices of the Royal Astronomical Society
Publication Type :
Academic Journal
Accession number :
144917631
Full Text :
https://doi.org/10.1093/mnras/staa1769