28 July 2024 to 3 August 2024
Europe/London timezone

Unfreezing topology with nested sampling

2 Aug 2024, 11:35
20m
Talk Algorithms and Artificial Intelligence Algorithms and artificial intelligence

Speaker

Urs Wenger (University of Bern)

Description

We consider nested sampling as a generic integration technique over the space of lattice configurations and discuss its application to compute the density of states and the free energy. We show the benefits of this alternative sampling method for systems which suffer from ergodicity problems due to non-efficient tunneling, e.g. topological freezing. As a proof of principle, we apply nested sampling in the 2D U(1) gauge theory.

Primary authors

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

Presentation materials