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arXiv 0912.4667astro-ph.COastro-ph.HE
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REXCESS样本中星系团的子结构:观测统计和与数值模拟的比较

Substructure of the galaxy clusters in the REXCESS sample: observed statistics and comparison to numerical simulations

H. Boehringer, G. W. Pratt, M. Arnaud, S. Borgani, J. H. Croston, T. J. Ponman, S. Ameglio, R. F. Temple, K. Dolag

摘要:

我们研究了一个有代表性的样本的星系团的子结构统计的两个目前流行的子结构表征方法,功率比和质心位移。我们使用的31个集群的REXCESS样本,从南部的ROSAT全天集群调查反射与X射线光度和红移的形态无偏选择,所有这些都已重新观察XMM-牛顿。我们调查的子结构参数的不确定性,并检查投影效果的结果的依赖性,发现参数的不确定性可以是相当可观的。因此,虽然量化的动态状态的个别集群与这些参数应极其谨慎地对待,这些子结构措施提供了强大的统计工具,以确定大集群样本的属性的趋势。中心偏移参数w一般更敏感。对于REXCESS样品,无论是发生的子结构,也不存在冷芯依赖于集群质量。大量亚结构的存在与冷核之间存在显著的反相关。模拟集群平均显示较大的子结构参数比观察到的集群,这一趋势是追溯到这样一个事实,即冷区更明显的模拟集群,导致更强的子结构措施合并集群和集群偏移核心。此外,冷区的频率在模拟中比在观测中更高,这意味着在模拟中塑造团簇形成的物理过程的描述需要进一步改进。

英文摘要:

We study the substructure statistics of a representative sample of galaxy clusters by means of two currently popular substructure characterisation methods, power ratios and centroid shifts. We use the 31 clusters from the REXCESS sample, compiled from the southern ROSAT All-Sky cluster survey REFLEX with a morphologically unbiased selection in X-ray luminosity and redshift, all of which have been reobserved with XMM-Newton. We investigate the uncertainties of the substructure parameters and examine the dependence of the results on projection effects, finding that the uncertainties of the parameters can be quite substantial. Thus while the quantification of the dynamical state of individual clusters with these parameters should be treated with extreme caution, these substructure measures provide powerful statistical tools to characterise trends of properties in large cluster samples. The centre shift parameter, w, is found to be more sensitive in general. For the REXCESS sample neither the occurence of substructure nor the presence of cool cores depends on cluster mass. There is a significant anti-correlation between the existence of substantial substructure and cool cores. The simulated clusters show on average larger substructure parameters than the observed clusters, a trend that is traced to the fact that cool regions are more pronounced in the simulated clusters, leading to stronger substructure measures in merging clusters and clusters with offset cores. Moreover, the frequency of cool regions is higher in the simulations than in the observations, implying that the description of the physical processes shaping cluster formation in the simulations requires further improvement.

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