2 papers
astro-ph.CO2025
Estimating the heterogeneity of pressure profiles within a complete sample of 55 galaxy clusters: a Bayesian Hierarchical Model
Fabio Castagna, Stefano Andreon, Marco Landoni +1
Galaxy clusters exhibit heterogeneity in their pressure profiles, even after rescaling, highlighting the need for adequately sized samples to accurately capture variations across t…
cs.DC2023
A Serverless Architecture for Efficient and Scalable Monte Carlo Markov Chain Computation
Fabio Castagna, Alberto Trombetta, Marco Landoni +1
Computer power is a constantly increasing demand in scientific data analyses, in particular when Markov Chain Monte Carlo (MCMC) methods are involved, for example for estimating in…