English

CHEX-MATE: Morphological analysis of the sample

Cosmology and Nongalactic Astrophysics 2022-09-21 v2

Abstract

In this work, we performed an analysis of the X-ray morphology of the 118 CHEX-MATE (Cluster HEritage project with XMM-Newton - Mass Assembly and Thermodynamics at the Endpoint of structure formation) galaxy clusters, with the aim to provide a classification of their dynamical state. To investigate the link between the X-ray appearance and the dynamical state, we considered four morphological parameters: the surface brightness concentration, the centroid shift, and the second- and third-order power ratios. These indicators result to be: strongly correlated with each other, powerful in identifying the disturbed and relaxed population, characterised by a unimodal distribution and not strongly influenced by systematic uncertainties. In order to obtain a continuous classification of the CHEX-MATE objects, we combined these four parameters in a single quantity, M, which represents the grade of relaxation of a system. On the basis of the M value, we identified the most extreme systems of the sample, finding 15 very relaxed and 27 very disturbed galaxy clusters. From a comparison with previous analysis on X-ray selected samples, we confirmed that the Sunyaev-Zeldovich (SZ) clusters tend to be more disturbed. Finally, by applying our analysis on a simulated sample, we found a general agreement between the observed and simulated results, with the only exception of the concentration. This latter behaviour, is partially related to the presence of particles with high smoothed-particle hydrodynamics density in the central regions of the simulated clusters due to the action of the idealised isotropic thermal Active Galactic Nuclei (AGN) feedback.

Keywords

Cite

@article{arxiv.2205.11326,
  title  = {CHEX-MATE: Morphological analysis of the sample},
  author = {Maria Giulia Campitiello and Stefano Ettori and Lorenzo Lovisari and Iacopo Bartalucci and Dominique Eckert and Elena Rasia and Mariachiara Rossetti and Fabio Gastaldello and Gabriel W. Pratt and Ben Maughan and Etienne Pointecouteau and Mauro Sereno and Veronica Biffi and Stefano Borgani and Federico De Luca and Marco De Petris and Massimo Gaspari and Simona Ghizzardi and Pasquale Mazzotta and Silvano Molendi},
  journal= {arXiv preprint arXiv:2205.11326},
  year   = {2022}
}

Comments

24 pages, 16 figures, 10 tables. Accepted for publication in A&A

R2 v1 2026-06-24T11:25:43.057Z