1996
DOI: 10.1086/176711
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Velocity Dispersions and X-Ray Temperatures of Galaxy Clusters

Abstract: Using a large and well-controlled sample of clusters of galaxies, we investigate the relation between cluster velocity dispersions and X-ray temperatures of intracluster gas.\ud \ud The cluster selection is based on nonparametric methods. In particular, we present the two-dimensional optical maps of our sample clusters, obtained via the kernel adaptive technique, using an optimized smoothing parameter.\ud \ud In order to obtain a reliable estimate of the total velocity dispersion of a cluster, independent of t… Show more

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Cited by 181 publications
(276 citation statements)
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“…Employing the least-square fit of a power-law to the data of Fig.1 yields (σ gal /km s −1 ) = 10 2.57±0.13 (kT /keV) 0.59±0.14 . Regardless of its large error bars, this relationship is essentially identical with the one for the nearby clusters (Girardi et al 1996 and references therein), and is also consistent with the isothermal hydrostatic scenario of σ gal ∼ T 0.5 . Based on the σ gal −T relationship alone, we may conclude that no significant dynamical and cosmic evolution has been detected for those massive lensing clusters within intermediate redshift z d ≈ 0.3.…”
Section: Samplesupporting
confidence: 82%
“…Employing the least-square fit of a power-law to the data of Fig.1 yields (σ gal /km s −1 ) = 10 2.57±0.13 (kT /keV) 0.59±0.14 . Regardless of its large error bars, this relationship is essentially identical with the one for the nearby clusters (Girardi et al 1996 and references therein), and is also consistent with the isothermal hydrostatic scenario of σ gal ∼ T 0.5 . Based on the σ gal −T relationship alone, we may conclude that no significant dynamical and cosmic evolution has been detected for those massive lensing clusters within intermediate redshift z d ≈ 0.3.…”
Section: Samplesupporting
confidence: 82%
“…The corresponding members were then identified using the distance-velocity diagram (Fig. 6), which consists in the so-called "shifting gapper" method Girardi et al 1996). This procedure rejects galaxies within a fixed distance bin that are too far in velocity from the main body of the system.…”
Section: System Membershipmentioning
confidence: 99%
“…First, we performed the 1D adaptive-kernel method (hereafter DEDICA, Pisani 1993Pisani , 1996; see also Fadda et al 1996;Girardi et al 1996). We searched for significant peaks in the velocity distribution at >99% c.l.…”
Section: Member Selectionmentioning
confidence: 99%