A Chandra Study of the Image Power Spectra of 41 Cool Core and Non-Cool Core Galaxy Clusters
Chenhao Zhang, Haiguang Xu, Zhenghao Zhu, Weitian Li, Dan Hu, Jingying, Wang, Junhua Gu, Liyi Gu, Zhongli Zhang, Chengze Liu, Jie Zhu, Xiang-Ping Wu

TL;DR
This study introduces a new X-ray image power spectrum-based diagnostic, the power excess index (PEI), to effectively distinguish cool core from non-cool core galaxy clusters, showing strong agreement with traditional methods.
Contribution
The paper presents a novel diagnostic using power spectra to classify galaxy clusters, which is less affected by mergers and easier to compute than traditional methods.
Findings
PEI correlates well with traditional CC diagnostics.
The diagnostic is effective up to redshift 0.5 for certain cluster sizes.
It simplifies CC classification by avoiding complex spectral analysis.
Abstract
In this work we propose a new diagnostic to segregate cool core (CC) clusters from non-cool core (NCC) clusters by studying the two-dimensional power spectra of the X-ray images observed with the Chandra X-ray observatory. Our sample contains 41 members (), which are selected from the Chandra archive when a high photon count, an adequate angular resolution, a relatively complete detector coverage, and coincident CC-NCC classifications derived with three traditional diagnostics are simultaneously guaranteed. We find that in the log-log space the derived image power spectra can be well represented by a constant model component at large wavenumbers, while at small wavenumbers a power excess beyond the constant component appears in all clusters, with a clear tendency that the excess is stronger in CC clusters. By introducing a new CC diagnostic parameter, i.e., the power…
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