100,000 Universes - Simulation-Based Inference for Galaxy Clustering with Muchisimocks

Explore simulation-based inference techniques for analyzing galaxy clustering patterns through this 16-minute conference talk by Kate Storey-Fisher from the Galileo Galilei Institute. Discover how researchers utilize 100,000 simulated universes and the muchisimocks framework to advance our understanding of cosmological structures and improve statistical inference methods in galaxy survey analysis. Learn about cutting-edge computational approaches that enable astronomers to extract meaningful insights from large-scale structure observations and enhance the precision of cosmological parameter estimation through sophisticated simulation techniques.