2018
DOI: 10.1093/mnras/sty621
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Morphological estimators on Sunyaev–Zel'dovich maps of MUSIC clusters of galaxies

Abstract: The determination of the morphology of galaxy clusters has important repercussion on their cosmological and astrophysical studies. In this paper we address the morphological characterisation of synthetic maps of the Sunyaev-Zel'dovich (SZ) effect produced for a sample of 258 massive clusters (M vir > 5 × 10 14 h −1 M at z = 0), extracted from the MUSIC hydrodynamical simulations. Specifically, we apply five known morphological parameters, already used in X-ray, two newly introduced ones, and we combine them to… Show more

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Cited by 41 publications
(65 citation statements)
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“…7 with the same weight to distinguish relaxed and disturbed objects. This is consistent with what has been derived by Cialone et al 2018. According to this definition, clusters which are characterised by the presence of a cool core and are morphologically regular will have M > 0 and very disturbed objects with a very diffuse core will have M < 0.…”
Section: Combined Dynamical Indicator Msupporting
confidence: 91%
“…7 with the same weight to distinguish relaxed and disturbed objects. This is consistent with what has been derived by Cialone et al 2018. According to this definition, clusters which are characterised by the presence of a cool core and are morphologically regular will have M > 0 and very disturbed objects with a very diffuse core will have M < 0.…”
Section: Combined Dynamical Indicator Msupporting
confidence: 91%
“…At the same time, the techniques used to analyse the simulations and compare them to observational data, including mock images, have further enhanced their predictive power. Still, the level of the above mass bias for simulated clusters considered 'dynamically relaxed' has always been consistently found to be around 10-20 percent (Rasia et al 2006;Nagai et al 2007a;Jeltema et al 2008;Piffaretti & Valdarnini 2008;Lau et al 2009;Meneghetti et al 2010;Nelson et al 2012;Battaglia et al 2012;Rasia et al 2012;Shi et al 2015;Biffi et al 2016;Vazza et al 2016;Henson et al 2017; Barnes et al 2017a;Vazza et al 2018;Cialone et al 2018;Angelinelli et al 2019). Thanks to simulations, we understand that the main sources of the HE bias are the residual, non-thermalized gas velocity, in the form of both bulk motion and turbulence, and intra-cluster medium (ICM) inhomogeneities.…”
Section: Introductionmentioning
confidence: 96%
“…Ribeiro et al 2013;Wen & Han 2013) and in the X-ray band (see e.g. Rasia et al 2013;Lovisari et al 2017;Nurgaliev et al 2017;Bartalucci et al 2019;Yuan & Han 2020;Cao et al 2020) or of the diffusion of the Cosmic Microwave Background (CMB) photons by tSZ effect in the millimetre band (Cialone et al 2018;De Luca et al 2020, hereafter DL20), or a combination of some of them (see e.g. Mann & Ebeling 2012;Molnar et al 2020;Ricci et al 2020;Zenteno et al 2020;The CHEX-MATE Collaboration et al 2020).…”
Section: Introductionmentioning
confidence: 99%