2017
DOI: 10.1093/mnras/stx318
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Pressure of the hot gas in simulations of galaxy clusters

Abstract: We analyze the radial pressure profiles, the 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 nonradiative physics, the others include, among other processes, AGN and/or stellar feedback. Our results are analyzed as a function of redshift, ICM physics, cluster m… Show more

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Cited by 100 publications
(144 citation statements)
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References 115 publications
(259 reference statements)
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“…The slope of the Y SZ,500 −M 500 relation using the BPP is slightly steeper than the self-similar prediction (5/3), but it is consistent within the uncertainties. It is also in agreement with the recent observational work of Jimeno et al (2018) and the theoretical AGN feedback simulations from Planelles et al (2017), reporting slopes of 1.70 and 1.685 respectively (shown in Figure 4). On the other hand, the relation found using the UPP suggests a much flatter slope of 1.32 ± 0.21 that is less consistent with the self-similar scaling but is still within 2σ.…”
Section: Comparisons Of Scaling Relationssupporting
confidence: 93%
“…The slope of the Y SZ,500 −M 500 relation using the BPP is slightly steeper than the self-similar prediction (5/3), but it is consistent within the uncertainties. It is also in agreement with the recent observational work of Jimeno et al (2018) and the theoretical AGN feedback simulations from Planelles et al (2017), reporting slopes of 1.70 and 1.685 respectively (shown in Figure 4). On the other hand, the relation found using the UPP suggests a much flatter slope of 1.32 ± 0.21 that is less consistent with the self-similar scaling but is still within 2σ.…”
Section: Comparisons Of Scaling Relationssupporting
confidence: 93%
“…Among the irregular (IR 3D ) sample, where we expect the largest difference between the two clumpiness profiles, we find that 95 percent of the objects have a maximum difference lower than a factor of 1.5. The artificial conduction introduced in our code, indeed, leads to better mixing of the medium and, consequently to a net reduction in the number of clumps (Biffi & Valdarnini 2015;Planelles et al 2017). In addition, the cores of the main halos and of the substructures are smoother.…”
Section: Clumpiness Factormentioning
confidence: 90%
“…Here ρ is the gas density and the brackets, , indicate the average taken over the region of interest (Mathiesen et al 1999). More precisely in our analysis, based on SPH simulated clusters, we compute the clumpiness factor by adopting the following formula discussed in Battaglia et al (2015) and Planelles et al (2017):…”
Section: Clumpiness Factormentioning
confidence: 99%
“…Feedback from active galactic nuclei (AGN) has been shown to be crucial in producing realistic clusters (e.g. Borgani & Kravtsov 2011;Planelles et al 2013Planelles et al , 2014Le Brun et al 2014;Pike et al 2014;Sembolini et al 2016b;Barnes et al 2017a;Mc-Carthy et al 2017;Planelles et al 2017). However, the physics of the formation of black holes (BHs) is currently not well understood.…”
Section: Bahamas Runsmentioning
confidence: 99%