Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Natalí S. M. de Santi, Francisco Villaescusa-Navarro, L. Raul Abramo, Helen Shao, Lucia A. Perez | Summary: It has been recently shown that a powerful way to constrain cosmological parameters from galaxy redshift surveys is to train graph neural networks to perform field-level likelihood-free inference without imposing […]
Continue.. Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects