2 papers
astro-ph.CO2026
Simulation-based cosmological inference from optically-selected galaxy clusters with
Constantin Payerne, Calum Murray, Hugo Simon
Galaxy clusters are powerful probes of the growth of cosmic structure through measurements of their abundance as a function of mass and redshift. Extracting precise cosmological co…
astro-ph.CO2025
Benchmarking field-level cosmological inference from galaxy redshift surveys
Hugo Simon, François Lanusse, Arnaud de Mattia
Field-level inference has emerged as a promising framework to fully harness the cosmological information encoded in next-generation galaxy surveys. It involves performing Bayesian…