No Cover Image

Conference Paper/Proceeding/Abstract 252 views 41 downloads

Lattice studies of Sp(2N) gauge theories using GRID

Niccolo Forzano, Ed Bennett Orcid Logo, Peter Boyle, Jong-Wan Lee, Julian Lenz, Biagio Lucini Orcid Logo, Alessandro Lupo, Maurizio Piai Orcid Logo, Davide Vadacchino, Luigi Del Debbio, Deog Ki Hong, C.-J David Lin

Proceedings of The 40th International Symposium on Lattice Field Theory — PoS(LATTICE2023)

Swansea University Authors: Niccolo Forzano, Ed Bennett Orcid Logo, Julian Lenz, Biagio Lucini Orcid Logo, Maurizio Piai Orcid Logo

DOI (Published version): 10.22323/1.453.0097

Abstract

Four-dimensional gauge theories based on symplectic Lie groups provide elegant realisations of the microscopic origin of several new physics models. Numerical studies pursued on the lattice provide quantitative information necessary for phenomenological applications. To this purpose, we implemented...

Full description

Published in: Proceedings of The 40th International Symposium on Lattice Field Theory — PoS(LATTICE2023)
Published: Trieste, Italy Sissa Medialab 2023
Online Access: http://dx.doi.org/10.22323/1.453.0097
URI: https://cronfa.swan.ac.uk/Record/cronfa65022
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract: Four-dimensional gauge theories based on symplectic Lie groups provide elegant realisations of the microscopic origin of several new physics models. Numerical studies pursued on the lattice provide quantitative information necessary for phenomenological applications. To this purpose, we implemented (2) gauge theories using Monte Carlo techniques within Grid, a performant framework designed for the numerical study of quantum field theories on the lattice. We show the first results obtained using this library, focusing on the case-study provided by the (4) theory coupled to = 4 Wilson-Dirac fermions transforming in the 2-index antisymmetric representation. In particular, we discuss preliminary tests of the algorithm and we test some of its main functionalities.
College: Faculty of Science and Engineering