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Published May 2007 | Published
Journal Article Open

Scaling relations and mass calibration of the X-ray luminous galaxy clusters at redshift ~0.2: XMM-Newton observations

Abstract

We present the X-ray properties and scaling relations of a flux-limited morphology-unbiased sample of 12 X-ray luminous galaxy clusters at redshift around 0.2 based on XMM-Newton observations. The scaled radial profiles are characterized by a self-similar behavior at radii outside the cluster cores (> 0.2 r_(500)) for the temperature (T ∝ r^(−0.36)), surface brightness, entropy (S ∝ r^(1.01)), gas mass and total mass. The cluster cores contribute up to 70% of the bolometric X-ray luminosity. The X-ray scaling relations and their scatter are sensitive to the presence of the cool cores. Using the X-ray luminosity corrected for the cluster central region and the temperature measured excluding the cluster central region, the normalization agrees to better than 10% for the cool core clusters and non-cool core clusters, irrelevant to the cluster morphology. No evolution of the X-ray scaling relations was observed comparing this sample to the nearby and more distant samples. With the current observations, the cluster temperature and luminosity can be used as reliable mass indicators with the mass scatter within 20%. Mass discrepancies remain between X-ray and lensing and lead to larger scatter in the scaling relations using the lensing masses (e.g. ~40% for the luminosity-mass relation) than using the X-ray masses (<20%) due to the possible reasons discussed.

Additional Information

© ESO 2007. Received 13 October 2006; accepted 20 February 2007. The XMM-Newton project is an ESA Science Mission with instruments and contributions directly funded by ESA Member States and the USA (NASA). The XMM-Newton project is supported by the Bundesministerium für Wirtschaft und Technologie/Deutsches Zentrum für Luft- und Raumfahrt (BMWI/DLR, FKZ 50 OX 0001), the Max-Planck Society and the Heidenhain-Stiftung. We acknowledge the anonymous referee for the detailed comments improving the work. YYZ acknowledges discussions with P. Schuecker, M. Arnaud, D. Pierini, M. Freyberg, S. Komossa, Y. Chen, S.-M. Jia, J. Santos, G. Pratt and A. Simionescu. Y.Y.Z. acknowledges support from MPG. AF acknowledges support from BMBF/DLR under grant No. 50OR0207 and MPG. GPS acknowledges support from a Royal Society University Research Fellowship.

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August 22, 2023
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