150 citations · 814 across the 16 of their papers we have counts for
13 papers · 1 filter
Machine Learning methods to estimate observational properties of galaxy clusters in large volume cosmological N-body simulations
Daniel de Andres, Gustavo Yepes, Federico Sembolini +5
In this paper we study the applicability of a set of supervised machine learning (ML) models specifically trained to infer observed related properties of the baryonic component (st…
Exploring the hydrostatic mass bias in MUSIC clusters: application to the NIKA2 mock sample
Giulia Gianfagna, Marco De Petris, Gustavo Yepes +10
Clusters of galaxies are useful tools to constrain cosmological parameters, only if their masses can be correctly inferred from observations. In particular, X-ray and Sunyaev-Zeldo…
Impact of ICM disturbances on the mean pressure profile of galaxy clusters: a prospective study of the NIKA2 SZ large program with MUSIC synthetic clusters
F. Ruppin, F. Sembolini, M. De Petris +6
. The mean pressure profile of the galaxy cluster population plays an essential role in cosmological analyses. An accurate characterization of the shape, intrinsic scatter…
Kinetic Sunyaev--Zel'dovich effect in rotating galaxy clusters from MUSIC simulations
Anna Silvia Baldi, Marco De Petris, Federico Sembolini +3
The masses of galaxy clusters are a key tool to constrain cosmology through the physics of large-scale structure formation and accretion. Mass estimates based on X-ray and Sunyaev-…
Morphological estimators on Sunyaev--Zel'dovich maps of MUSIC clusters of galaxies
Giammarco Cialone, Marco De Petris, Federico Sembolini +3
The determination of the morphology of galaxy clusters has important repercussion on their cosmological and astrophysical studies. In this paper we address the morphological charac…
On the coherent rotation of diffuse matter in numerical simulations of galaxy clusters
Anna Silvia Baldi, Marco De Petris, Federico Sembolini +3
We present a study on the coherent rotation of the intracluster medium and dark matter components of simulated galaxy clusters extracted from a volume-limited sample of the MUSIC p…
nIFTy galaxy cluster simulations II: radiative models
Federico Sembolini, Pascal Jahan Elahi, Frazer R. Pearce +19
We have simulated the formation of a massive galaxy cluster (M = 1.110) in a CDM universe using 10 different codes (RAMSES, 2 in…
nIFTy galaxy cluster simulations I: dark matter & non-radiative models
Federico Sembolini, Gustavo Yepes, Frazer R. Pearce +24
We have simulated the formation of a galaxy cluster in a CDM universe using twelve different codes modeling only gravity and non-radiative hydrodynamics (\art, \arepo, \hydra\ a…
The MUSIC of CLASH: predictions on the concentration-mass relation
M. Meneghetti, E. Rasia, J. Vega +42
We present the results of a numerical study based on the analysis of the MUSIC-2 simulations, aimed at estimating the expected concentration-mass relation for the CLASH cluster sam…
The MUSIC of Galaxy Clusters II: X-ray global properties and scaling relations
Veronica Biffi, Federico Sembolini, Marco De Petris +3
We present the X-ray properties and scaling relations of a large sample of clusters extracted from the Marenostrum MUltidark SImulations of galaxy Clusters (MUSIC) dataset. We focu…
The MUSIC of Galaxy Clusters III: Properties, evolution and Y-M scaling relation of protoclusters of galaxies
Federico Sembolini, Marco De Petris, Gustavo Yepes +3
In this work we study the properties of protoclusters of galaxies by employing the MUSIC set of hydrodynamical simulations, featuring a mass-limited sample of 282 resimulated clust…
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 +3
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 cl…
Baryon and Sunyaev-Zel'dovich effect properties of MareNostrum and MultiDark simulated clusters (MUSIC)
Federico Sembolini, Gustavo Yepes, Marco De Petris
We report the first results of the MUSIC project. It consists of two data sets of resimulates clusters extracted from two large dark matter only simulations: Marenostrum Universe a…