Speaker
Moritz Muenchmeyer
(University of Wisconsin-Madison)
Description
In this talk will review the status of AI inference methods that aim to tighten measurements of fundamental physics from cosmological survey data. I will discuss the promises of these methods as well as their challenges, in particular with respect to systematic errors in simulations. I will then show our recent work on AI for squeezed limit observables, where robustness to systematics is more easily achievable.
Primary author
Moritz Muenchmeyer
(University of Wisconsin-Madison)