Testing for X-Ray–SZ Differences and Redshift Evolution in the X-Ray Morphology of Galaxy Clusters
Testing for X-Ray–SZ Differences and Redshift Evolution in the X-Ray Morphology of Galaxy Clusters
复制标题
测试星系团 X 射线形态中的 X 射线 SZ 差异和红移演化
DOI:
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发表时间:
2016
期刊:
影响因子:
--
通讯作者:
A. Vikhlinin
中科院分区:
文献类型:
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作者:
D. Nurgaliev;M. Mcdonald;B. Benson;L. Bleem;S. Bocquet;W. Forman;G. Garmire;N. Gupta;J. Hlavacek;J. Mohr;D. Nagai;D. Rapetti;A. Stark;C. Stubbs;A. Vikhlinin
We present a quantitative study of the X-ray morphology of galaxy clusters, as a function of their detection method and redshift. We analyze two separate samples of galaxy clusters: a sample of 36 clusters at selected in the X-ray with the ROSAT PSPC 400 deg2 survey, and a sample of 90 clusters at selected via the Sunyaev–Zel’dovich (SZ) effect with the South Pole Telescope. Clusters from both samples have similar-quality Chandra observations, which allow us to quantify their X-ray morphologies via two distinct methods: centroid shifts (w) and photon asymmetry ( ). The latter technique provides nearly unbiased morphology estimates for clusters spanning a broad range of redshift and data quality. We further compare the X-ray morphologies of X-ray- and SZ-selected clusters with those of simulated clusters. We do not find a statistically significant difference in the measured X-ray morphology of X-ray and SZ-selected clusters over the redshift range probed by these samples, suggesting that the two are probing similar populations of clusters. We find that the X-ray morphologies of simulated clusters are statistically indistinguishable from those of X-ray- or SZ-selected clusters, implying that the most important physics for dictating the large-scale gas morphology (outside of the core) is well-approximated in these simulations. Finally, we find no statistically significant redshift evolution in the X-ray morphology (both for observed and simulated clusters), over the range of to , seemingly in contradiction with the redshift-dependent halo merger rate predicted by simulations.
影响因子:
6.5
作者:
Joana S. Santos;P. Tozzi;P. Rosati;H. Boehringer
通讯作者:
Joana S. Santos;P. Tozzi;P. Rosati;H. Boehringer
影响因子:
8.7
作者:
Komatsu, E.;Smith, K. M.;Wright, E. L.
通讯作者:
Wright, E. L.
影响因子:
6.5
作者:
Mittal;Reiprich;Jaritz
通讯作者:
Jaritz