37 citations · 72 across the 2 of their papers we have counts for
3 papers
A study of the hydrostatic mass bias dependence and evolution within The Three Hundred clusters
Giulia Gianfagna, Elena Rasia, Weiguang Cui +4
We use a set of about 300 simulated clusters from The Three Hundred Project to calculate their hydrostatic masses and evaluate the associated bias by comparing them with the true c…
A Deep Learning Approach to Infer Galaxy Cluster Masses from Planck Compton parameter maps
Daniel de Andres, Weiguang Cui, Florian Ruppin +8
Galaxy clusters are useful laboratories to investigate the evolution of the Universe, and accurately measuring their total masses allows us to constrain important cosmological para…
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…