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31 July 2023 to 4 August 2023
America/Chicago timezone

Sampling Nambu-Goto theory using Normalizing Flows

31 Jul 2023, 14:10
20m
Ramsey Auditorium

Ramsey Auditorium

Speaker

Elia Cellini (University of Turin/ INFN Turin)

Description

Effective String Theory (EST) is a non-perturbative framework used to describe confinement in Yang-Mills theory through the modeling of the interquark potential in terms of vibrating strings. An efficient numerical method to simulate such theories where analytical studies are not possible is still lacking. However, in recent years a new class of deep generative models called Normalizing Flows (NFs) has been proposed to sample lattice field theories more efficiently than traditional Monte Carlo methods. In this talk, we show a proof of concept of the application of NFs to EST regularized on the lattice. Namely, we use as case study the Nambu-Goto string in order to use the well-known analytical results of this theory as a benchmark for our methods.

Topical area Algorithms and Artificial Intelligence

Primary author

Elia Cellini (University of Turin/ INFN Turin)

Co-authors

Prof. Michele Caselle (University of Turin) Alessandro Nada (Università di Torino)

Presentation materials