Simulation-Based Inference for Galaxy Clustering with LEFTfield

Learn about simulation-based inference techniques for analyzing galaxy clustering patterns using the LEFTfield framework in this conference talk. Explore advanced computational methods for understanding the large-scale structure of the universe through galaxy distribution analysis. Discover how simulation-based approaches can provide insights into cosmological parameters and the underlying physics governing galaxy formation and clustering. Examine the LEFTfield methodology and its applications in modern cosmological research, including its role in extracting information from observational data about galaxy surveys. Gain understanding of the statistical and computational challenges involved in modeling complex astrophysical systems and how simulation-based inference addresses these issues in the context of galaxy clustering studies.