Marginal post-processing of Bayesian inference products with normalizing flows and kernel density estimators
Marginal post-processing of Bayesian inference products with normalizing flows and kernel density estimators
ABSTRACT Bayesian analysis has become an indispensable tool across many different cosmological fields, including the study of gravitational waves, the cosmic microwave background, and the 21-cm signal from the Cosmic Dawn, among other phenomena. The method provides a way to fit complex models to data describing key cosmological and astrophysical …