Cool Core Clusters from Cosmological Simulations
E. Rasia, S. Borgani, G. Murante, S. Planelles, A. M. Beck, V. Biffi,, C. Ragone-Figueroa, G. L. Granato, L. K. Steinborn, K. Dolag

TL;DR
This study uses advanced cosmological hydrodynamic simulations including AGN feedback and thermal diffusion to reproduce the observed diversity of cool-core and non-cool-core galaxy clusters, matching their entropy and iron profiles.
Contribution
The paper demonstrates that incorporating AGN feedback and artificial thermal diffusion in simulations produces realistic cool-core cluster structures consistent with observations.
Findings
Simulated clusters show entropy profiles similar to observed CC and NCC clusters.
Cool-core clusters in simulations have steeper iron abundance profiles than NCC clusters.
The combination of AGN feedback and thermal diffusion is key to realistic cluster core modeling.
Abstract
We present results obtained from a set of cosmological hydrodynamic simulations of galaxy clusters, aimed at comparing predictions with observational data on the diversity between cool-core (CC) and non-cool-core (NCC) clusters. Our simulations include the effects of stellar and AGN feedback and are based on an improved version of the smoothed particle hydrodynamics code GADGET-3, which ameliorates gas mixing and better captures gas-dynamical instabilities by including a suitable artificial thermal diffusion. In this Letter, we focus our analysis on the entropy profiles, the primary diagnostic we used to classify the degree of cool-coreness of clusters, and on the iron profiles. In keeping with observations, our simulated clusters display a variety of behaviors in entropy profiles: they range from steadily decreasing profiles at small radii, characteristic of cool-core systems, to…
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