The Three Hundred Project: Dynamical state of galaxy clusters and morphology from multi-wavelength synthetic maps
Federico De Luca, Marco De Petris, Gustavo Yepes, Weiguang Cui,, Alexander Knebe, Elena Rasia

TL;DR
This study investigates the relationship between galaxy cluster morphology and dynamical state using multi-wavelength synthetic maps and combined indicators, revealing correlations and the effectiveness of combined parameters in assessing cluster dynamical states.
Contribution
It introduces a combined morphological and dynamical parameter framework that improves the accuracy of galaxy cluster dynamical state estimation from multi-wavelength observations.
Findings
Dynamical states form a continuous distribution from relaxed to disturbed.
Internal regions of clusters are more relaxed than outskirts.
Combined parameters provide more accurate dynamical state estimates.
Abstract
We study the connection between morphology and dynamical state of the simulated galaxy clusters in from THE THREE HUNDRED Project. We quantify cluster dynamical state using a combination of dynamical indicators from theoretical measures and compare this combined parameter, , with the results from morphological classifications. The dynamical state of the cluster sample shows a continuous distribution from dynamically relaxed, more abundant at lower redshift, to hybrid and disturbed. The dynamical state presents a clear dependence on the radius, with internal regions more relaxed than outskirts. The morphology from multi-wavelength mock observation of clusters in X-ray, optical, and Sunyaev-Zel'dovich (SZ) effect images, is quantified by -- a combination of six parameters for X-ray and SZ maps and the offsets between the optical position of the Brightest Central…
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