Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects

Natalí S. M. de Santi, Francisco Villaescusa-Navarro, L. Raul Abramo +11

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…