28 July 2024 to 3 August 2024
Europe/London timezone

Nested Sampling for U(1) in 2+1 dimensions

2 Aug 2024, 11:15
20m
Talk Algorithms and Artificial Intelligence Algorithms and artificial intelligence

Speaker

Simone Romiti (University of Bern)

Description

We present the application of the Nested Sampling (NS) algorithm to lattice gauge theories. It allows to scan the $\beta$ dependence of any observable in a custom range of values, avoiding the need to run multiple simulations at different values of the coupling. As a concrete example, we consider the case of a pure gauge U(1) theory in 2+1 dimensions, a toy model for QCD showing confinement at all values of the coupling.

Primary authors

Simone Romiti (University of Bern) Gurtej Kanwar (University of Bern) Urs Wenger (University of Bern)

Presentation materials