Astrophysics and Space Science in Marche III: Big Bang, Big stars, Big Computers

The power of Normalizing Flows for Bayesian inference

Not scheduled

20m

Sala Congressi della Fondazione Cassa di Risparmio di Jesi (Jesi)

Talk

Speaker

Eleonora Villa (INAF - IASF MI)

Description

Pulsar Timing Array data analysis faces severe computational challenges as parameter spaces scale with the number of pulsars. I present two Normalizing Flows (NFs) based strategies to accelerate and improve Bayesian inference for stochastic gravitational wave background (SGWB). First, integrating NFs into the importance nested sampling framework i-nessai yields speedups of one to three orders of magnitude over standard methods, with robust posteriors and reliable evidence estimates. Second, a dual NFs architecture implementing parameter decorrelation via orthogonal projection, enhancing noise constraining power.