Characterizing the Properties of Clusters of Galaxies As a Function of Luminosity and Redshift

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We report the application of the new Monte Carlo method, Smoothed Particle Inference (SPI, described in a pair of companion papers), towards analysis and interpretation of X-ray observations of clusters of galaxies with the XMM-Newton satellite. Our sample consists of publicly available well-exposed observations of clusters at redshifts z > 0.069, totaling 101 objects. We determine the luminosity and temperature structure of the X-ray emitting gas, with the goal to quantify the scatter and the evolution of the L{sub X} - T relation, as well as to investigate the dependence on cluster substructure with redshift. This work is important for ... continued below

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30 pages

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Andersson, K.; /SLAC, /MIT /Stockholm U.; Peterson, J.R.; U., /Purdue; Madejski, G.; /SLAC /KIPAC, Menlo Park et al. February 24, 2009.

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We report the application of the new Monte Carlo method, Smoothed Particle Inference (SPI, described in a pair of companion papers), towards analysis and interpretation of X-ray observations of clusters of galaxies with the XMM-Newton satellite. Our sample consists of publicly available well-exposed observations of clusters at redshifts z > 0.069, totaling 101 objects. We determine the luminosity and temperature structure of the X-ray emitting gas, with the goal to quantify the scatter and the evolution of the L{sub X} - T relation, as well as to investigate the dependence on cluster substructure with redshift. This work is important for the establishment of the potential robustness of mass estimates from X-ray data which in turn is essential towards the use of clusters for measurements of cosmological parameters. We use the luminosity and temperature maps derived via the SPI technique to determine the presence of cooling cores, via measurements of luminosity and temperature contrast. The L{sub X}-T relation is investigated, and we confirm that L{sub X} {proportional_to} T{sup 3}. We find a weak redshift dependence ({proportional_to} (1 + z){sup {beta}{sub LT}}, {beta}{sub LT} = 0.50 {+-} 0.34), in contrast to some Chandra results. The level of dynamical activity is established using the 'power ratios' method, and we compare our results to previous application of this method to Chandra data for clusters. We find signs of evolution in the P{sub 3}/P{sub 0} power ratio. A new method, the 'temperature two-point correlation function', is proposed. This method is used to determine the 'power spectrum' of temperature fluctuations in the X-ray emitting gas as a function of spatial scale. We show how this method can be fruitfully used to identify cooling core clusters as well as those with disturbed structures, presumably due to on-going or recent merger activity.

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30 pages

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  • Journal Name: Astrophys.J.696:1029-1050,2009

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  • Report No.: SLAC-PUB-13553
  • Grant Number: AC02-76SF00515
  • DOI: 10.1088/0004-637X/690/1/706 | External Link
  • Office of Scientific & Technical Information Report Number: 948483
  • Archival Resource Key: ark:/67531/metadc899120

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  • February 24, 2009

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  • Sept. 27, 2016, 1:39 a.m.

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  • Dec. 12, 2016, 3:37 p.m.

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Andersson, K.; /SLAC, /MIT /Stockholm U.; Peterson, J.R.; U., /Purdue; Madejski, G.; /SLAC /KIPAC, Menlo Park et al. Characterizing the Properties of Clusters of Galaxies As a Function of Luminosity and Redshift, article, February 24, 2009; United States. (digital.library.unt.edu/ark:/67531/metadc899120/: accessed September 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.