The MUSIC of Galaxy Clusters I: Baryon properties and Scaling Relations of the thermal Sunyaev-Zel'dovich Effect
Federico Sembolini, Gustavo Yepes, Marco De Petris, Stefan Gottloeber,, Luca Lamagna, Barbara Comis

TL;DR
This paper introduces the MUSIC simulation dataset of galaxy clusters, analyzing their baryon content and scaling relations of the thermal Sunyaev-Zel'dovich effect, showing good agreement with observations and confirming self-similar scaling laws.
Contribution
The paper presents a large, high-resolution hydrodynamical simulation dataset of galaxy clusters with detailed baryon analysis and SZ scaling relations, including effects of feedback and redshift dependence.
Findings
Simulated gas fractions agree with recent observations.
Gas fraction depends on cluster mass.
SZ scaling relations follow self-similar predictions with low scatter.
Abstract
We introduce the Marenostrum-MultiDark SImulations of galaxy Clusters (MUSIC) Dataset, one of the largest sample of hydrodynamically simulated galaxy clusters with more than 500 clusters and 2000 groups. The objects have been selected from two large N-body simulations and have been resimulated at high resolution using SPH together with relevant physical processes (cooling, UV photoionization, star formation and different feedback processes). We focus on the analysis of the baryon content (gas and star) of clusters in the MUSIC dataset both as a function of aperture radius and redshift. The results from our simulations are compared with the most recent observational estimates of the gas fraction in galaxy clusters at different overdensity radii. When the effects of cooling and stellar feedbacks are included, the MUSIC clusters show a good agreement with the most recent observed gas…
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