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  5. Pressure of the hot gas in simulations of galaxy clusters
 

Pressure of the hot gas in simulations of galaxy clusters

Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY  
Date Issued
2017
Author(s)
Planelles, S.
•
Fabjan, D.
•
BORGANI, STEFANO  
•
MURANTE, Giuseppe  
•
RASIA, ELENA  
•
BIFFI, Veronica  
•
Truong, N.
•
Ragone-Figueroa, C.
•
GRANATO, Gian Luigi  
•
Dolag, K.
•
Pierpaoli, E.
•
Beck, A. M.
•
Steinborn, Lisa K.
•
GASPARI, MASSIMO  
DOI
10.1093/mnras/stx318
Abstract
We analyse the radial pressure profiles, the intracluster medium (ICM) clumping factor and the Sunyaev-Zel'dovich (SZ) scaling relations of a sample of simulated galaxy clusters and groups identified in a set of hydrodynamical simulations based on an updated version of the treepm-SPH GADGET-3 code. Three different sets of simulations are performed: the first assumes non-radiative physics, the others include, among other processes, active galactic nucleus (AGN) and/or stellar feedback. Our results are analysed as a function of redshift, ICM physics, cluster mass and cluster cool-coreness or dynamical state. In general, the mean pressure profiles obtained for our sample of groups and clusters show a good agreement with X-ray and SZ observations. Simulated cool-core (CC) and non-cool-core (NCC) clusters also show a good match with real data. We obtain in all cases a small (if any) redshift evolution of the pressure profiles of massive clusters, at least back to z = 1. We find that the clumpiness of gas density and pressure increases with the distance from the cluster centre and with the dynamical activity. The inclusion of AGN feedback in our simulations generates values for the gas clumping (√{C}_{ρ }∼ 1.2 at R200) in good agreement with recent observational estimates. The simulated YSZ-M scaling relations are in good accordance with several observed samples, especially for massive clusters. As for the scatter of these relations, we obtain a clear dependence on the cluster dynamical state, whereas this distinction is not so evident when looking at the subsamples of CC and NCC clusters.
Volume
467
Issue
4
Start page
3827
Uri
http://hdl.handle.net/20.500.12386/26866
Url
https://academic.oup.com/mnras/article/467/4/3827/2973007
Issn Identifier
0035-8711
Ads BibCode
2017MNRAS.467.3827P
Rights
open.access
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