The Concentration-Mass Relation of Massive, Dynamically Relaxed Galaxy Clusters: Agreement Between Observations and $\Lambda$CDM Simulations
Elise Darragh-Ford, Adam B. Mantz, Elena Rasia, Steven W. Allen, R., Glenn Morris, Jack Foster, Robert W. Schmidt, Guillermo Wenrich

TL;DR
This study compares observed and simulated galaxy clusters to validate the $ ext{Lambda}$CDM model, confirming the predicted decrease in concentration with redshift and finding strong agreement between observations and simulations.
Contribution
It introduces a new method for selecting relaxed clusters in simulations and observations, and demonstrates the first clear detection of concentration decline with redshift in data.
Findings
Observed and simulated clusters show consistent concentration-mass-redshift relations.
First detection of decreasing concentration with redshift in observational data.
Good agreement supports $ ext{Lambda}$CDM}$ predictions for galaxy cluster properties.
Abstract
The relationship linking a galaxy cluster's total mass with the concentration of its mass profile and its redshift is a fundamental prediction of the Cold Dark Matter (CDM) paradigm of cosmic structure formation. However, confronting those predictions with observations is complicated by the fact that simulated clusters are not representative of observed samples where detailed mass profile constraints are possible. In this work, we calculate the Symmetry-Peakiness-Alignment (SPA) morphology metrics for maps of X-ray emissivity from THE THREE HUNDRED project hydrodynamical simulations of galaxy clusters at four redshifts, and thereby select a sample of morphologically relaxed, simulated clusters, using observational criteria. These clusters have on average earlier formation times than the full sample, confirming that they are both morphologically and dynamically more relaxed than typical.…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astrophysics and Cosmic Phenomena · Astronomy and Astrophysical Research
