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20082026
most citedFirst Simulations of Axion Minicluster Halos

86 citations · 259 across the 20 of their papers we have counts for

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Showing astro-ph.COShow all

10 papers · 1 filter

astro-ph.CO2026

Average soft X-ray surface brightness profile of massive galaxy clusters in Magneticum simulations

A. Kruglov, N. Lyskova, I. Khabibullin +2

The self-similar growth of massive galaxy clusters suggests that radial profiles of their key thermodynamic properties should have identical shapes after proper mass- and redshift-…

astro-ph.CO2026

Radio Halos in Galaxy Clusters as unveiled by the SKA telescope

R. Cassano, G. Di Gennaro, V. Cuciti +24

Giant radio halos (RHs) are diffuse, Mpc-scale synchrotron sources observed in a growing fraction of galaxy clusters. They trace relativistic particles and magnetic fields in the i…

astro-ph.CO2026

Baryonic assembly bias in X-ray-selected galaxy groups and clusters: insights from the Magneticum simulation

Ilaria Marini, Tiago Castro, Paola Popesso +5

Galaxy groups and clusters trace the large-scale matter distribution, with their clustering usually interpreted mainly as a function of halo mass. Yet, at fixed mass, their baryoni…

astro-ph.CO2026

CHEX-MATE: Are we getting cluster thermodynamics right?

R. Seppi, D. Eckert, E. Rasia +19

Galaxy clusters offer powerful insights into the large-scale structure of the Universe and the physics of baryons in hot state. Their scientific exploitation, however, hinges on ou…

astro-ph.CO2026

On the cosmology dependence of the cluster weak-lensing mass bias

S. Bocquet, A. Fumagalli, C. T. Davies +3

Measurements of the shear induced by weak gravitational lensing around galaxy cluster lines of sight are the gold standard for calibrating cluster observable-mass relations, thereb…

astro-ph.CO2026

Cosmology with galaxy clusters using machine learning. Application to eROSITA Data

Fucheng Zhong, Nicola R. Napolitano, Johan Comparat +8

Context: We present the first Cosmological Parameter inferences from eROSITA X-ray observations of galaxy clusters using a Machine Learning algorithm. Methods: We train a Random Fo…