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The eventful life journey of galaxy clusters. I. Impact of DM halo and ICM properties on their full assembly histories

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arxiv 2505.02891 v1 pith:DTPIF2TL submitted 2025-05-05 astro-ph.CO astro-ph.GA

classification astro-ph.COastro-ph.GA
keywords indicatorspropertieshaloassemblyclustersdifferentstructurescosmic
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abstract

Context. Galaxy clusters assemble over gigayears in a very anisotropic environment, which causes a remarkable diversity in their mass assembly histories (MAH). Aims. In this work, we have aimed to understand how the present-day properties of the dark matter halo and the intracluster medium are related to the whole evolution of these structures. Methods. To this end, we analysed a $\Lambda$CDM hydrodynamical+$N$-Body simulation of a $(100 \, h^{-1} \mathrm{Mpc})^3$ volume, containing over 30 clusters and 300 groups, and looked at the individual and the stacked MAHs (determined from complete merger trees) in relation to properties of the DM haloes and the ICM at fixed cosmic time (indicators of assembly state). Results. The ensemble MAHs are well separated when stacked in bins of these indicators, yielding clear dependencies of evolutionary properties (such as formation redshift) on fix-time halo properties. Additionally, we find that different indicators are informative about distinct epochs of accretion. Finally, by summarising the complex MAH diversity with two parameters, we describe how different indicators bring complementary information in different directions of this biparametric space. Overall, halo spin and a combined indicator appear to be the ones encoding the most information about the MAH. Conclusions. The results shown here add up to the idea that the dynamical state of cosmic structures is a multifaceted concept, and warn that single indicators are incapable of capturing the whole complexity of the process. This work sheds light on the nature of this characterisation by untangling precisely when and how several indicators are informative about. In turn, this can provide clues to better constrain the MAH of observed structures.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Identifying backsplash galaxies using machine learning

    astro-ph.GA 2026-07 conditional novelty 6.0 of 10

    Machine learning trained on The Three Hundred simulations identifies backsplash galaxies in cluster outskirts with ~75% purity/completeness, and has been applied to HI-tail galaxies in Virgo.

  2. The youth of the intracluster medium. I. A non-parametric characterisation of the gas and electron number density profiles of $z \simeq 2$ protoclusters

    astro-ph.CO 2026-07 conditional novelty 6.0 of 10

    At z≈2, Magneticum protoclusters show moderate self-similarity deviations, double-β density profiles, and hot ionised gas dominant only beyond ~0.1–0.5 R500c, with clear mass, merger and AGN trends.

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