CHEX-MATE: exploring the kinematical properties of Planck galaxy clusters
Lorenzo Pizzuti, Rafael Barrena, Mauro Sereno, Alina Streblyanska, Antonio Ferragamo, Sophie Maurogordato, Alberto Cappi, Stefano Ettori, Gabriel W. Pratt, Gianluca Castignani, Megan Donahue, Dominique Eckert, Fabio Gastaldello, Raphael Gavazzi, Christopher P. Haines

TL;DR
This study analyzes the kinematic properties of the CHEX-MATE galaxy cluster sample, deriving mass profiles, assessing dynamical states, and exploring the concentration-mass relation and galaxy orbital anisotropies.
Contribution
It introduces a comprehensive kinematic analysis of 75 galaxy clusters using MG-MAMPOSSt, comparing models, estimating mass bias, and examining dynamical states and orbital properties.
Findings
NFW and Burkert models fit the data well with marginal preference.
Estimated mass bias (1-B1) is approximately 0.54 after removing disturbed clusters.
Clusters generally show low substructure and are close to relaxation.
Abstract
We analyse the kinematical properties of the CHEX-MATE (Cluster HEritage project with XMM-Newton - Mass Assembly and Thermodynamics at the Endpoint of structure formation) galaxy cluster sample. [...] We derive cluster mass profiles for 75 clusters using the \textsc{MG-MAMPOSSt} procedure, which recovers the gravitational potential and the anisotropy profiles from line-of-sight velocities and projected positions of galaxy members. The standard NFW and the Burkert models with flatter cores than NFW both adequately fit the kinematic data, with only marginal statistical preference for one model over the other. An estimation of the mass bias is performed from the comparison with SZ-X-ray-calibrated mass estimates, resulting in a value of when four evidently disturbed clusters are removed from the sample. We assess the dynamical state of…
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