77 citations · 136 across the 4 of their papers we have counts for
4 papers
Deep Learning generated observations of galaxy clusters from dark-matter-only simulations
Andrés Caro, Daniel de Andres, Weiguang Cui +5
Hydrodynamical simulations play a fundamental role in modern cosmological research, serving as a crucial bridge between theoretical predictions and observational data. However, due…
GASTON: Galactic Star Formation with NIKA2. Evidence for the mass growth of star-forming clumps
A. J. Rigby, N. Peretto, R. Adam +44
Determining the mechanism by which high-mass stars are formed is essential for our understanding of the energy budget and chemical evolution of galaxies. By using the New IRAM KIDs…
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…
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-…