2013
DOI: 10.1007/s11214-013-9976-7
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Mass Profiles of Galaxy Clusters from X-ray Analysis

Abstract: We review the methods adopted to reconstruct the mass profiles in X-ray luminous galaxy clusters. We discuss the limitations and the biases affecting these measurements and how these mass profiles can be used as cosmological proxies.

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Cited by 170 publications
(134 citation statements)
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“…The method to reconstruct K(r) and P (r) Amodeo et al (2016) presented the method applied to constrain the mass distribution of the galaxy clusters in our sample under the assumption that a spherically symmetric ICM is in hydrostatic equilibrium with the underlying dark matter potential. The backward method adopted (see Ettori et al 2013) allows to constrain the parameters of a mass model, i.e. the concentration and the scale radius for a NFW model (Navarro et al 1997), using both the gas density profile, obtained from the geometrical deprojection of the X-ray surface brightness profile, and the spatially resolved spectroscopic measurements of the gas temperature.…”
Section: Sample Propertiesmentioning
confidence: 99%
“…The method to reconstruct K(r) and P (r) Amodeo et al (2016) presented the method applied to constrain the mass distribution of the galaxy clusters in our sample under the assumption that a spherically symmetric ICM is in hydrostatic equilibrium with the underlying dark matter potential. The backward method adopted (see Ettori et al 2013) allows to constrain the parameters of a mass model, i.e. the concentration and the scale radius for a NFW model (Navarro et al 1997), using both the gas density profile, obtained from the geometrical deprojection of the X-ray surface brightness profile, and the spatially resolved spectroscopic measurements of the gas temperature.…”
Section: Sample Propertiesmentioning
confidence: 99%
“…Even more difficult is the estimate of clusters masses and mass profiles that are biased by various effects depending on the applied methods. The masses inferred from either X-ray (e.g., Ettori et al 2013;Maughan et al 2016) or optical data are, for example, based on the assumption of dynamical equilibrium, while those obtained by gravitational lensing (e.g., Umetsu et al 2014;Merten et al 2015) require a good knowledge of the geometry of the potential well. Discrepancies by a factor of 2-3 between the masses obtained by various methods have been reported (e.g., Wu & Fang 1997).…”
Section: Introductionmentioning
confidence: 99%
“…This result can be primarily attributed to an additional pressure support provided by the bulk motions in the ICM. The departure from the hydrostatic assumption is one of the largest sources of systematic uncertainties in cluster cosmology (e.g., Lau et al 2009;Rasia et al 2012;Ettori et al 2013). …”
Section: Introductionmentioning
confidence: 99%