Characterizing the Properties of Clusters of Galaxies as a Function of Luminosity and Redshift Export

@article{citeulike:6061220, abstract = {We report the application of a 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\_X - T relation, as well as to investigate the dependence on cluster substructure with redshift. We confirm that L\_X \propto T^3 and we find a weak redshift dependence (\propto (1+z)^(\beta\_LT), \beta\_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 find signs of evolution in the P\_3/P\_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.}, archivePrefix = {arXiv}, author = {Andersson, K. and Peterson, J. R. and Madejski, G. and Goobar, A.}, citeulike-article-id = {6061220}, citeulike-linkout-0 = {http://arxiv.org/abs/0902.0003}, citeulike-linkout-1 = {http://arxiv.org/pdf/0902.0003}, day = {2}, eprint = {0902.0003}, keywords = {icm, maps, methods, power\_ratios, substructure, temperature\_structure}, month = {Feb}, posted-at = {2009-11-03 17:45:50}, priority = {2}, title = {Characterizing the Properties of Clusters of Galaxies as a Function of Luminosity and Redshift}, url = {http://arxiv.org/abs/0902.0003}, year = {2009} }

TY - JOUR ID - citeulike:6061220 L3 - citeulike-article-id:6061220 N2 - We report the application of a 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_X - T relation, as well as to investigate the dependence on cluster substructure with redshift. We confirm that L_X \propto T^3 and we find a weak redshift dependence (\propto (1+z)^(\beta_LT), \beta_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 find signs of evolution in the P_3/P_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. TI - Characterizing the Properties of Clusters of Galaxies as a Function of Luminosity and Redshift KW - icm KW - maps KW - methods KW - power_ratios KW - substructure KW - temperature_structure AU - Andersson, K AU - Peterson, JR AU - Madejski, G AU - Goobar, A PY - 2009/Feb/02/ UR - http://arxiv.org/abs/0902.0003 ER -