Performance of two-level sampling for the glueball spectrum in pure gauge theory
Abstract
The computation of the glueball spectrum is particularly challenging due to the rapid decay of the signal-to-noise ratio of the correlation functions. To address this issue, advanced techniques such as gauge link smearing and the variational method are commonly employed to identify the spectrum before the signal diminishes significantly. However, a significant improvement in the signal-to-noise ratio can be achieved by utilising multilevel sampling techniques. In this talk, we present a study of the glueball spectrum in pure gauge theory with a two-level algorithm. Specifically, we explore the relation between noise reduction and the various multilevel parameters, such as the width of the dynamical regions and the number of submeasurements.
Keywords
Cite
@article{arxiv.2312.11372,
title = {Performance of two-level sampling for the glueball spectrum in pure gauge theory},
author = {Lorenzo Barca and Francesco Knechtli and Michael Peardon and Stefan Schaefer and Juan Andrés Urrea-Niño},
journal= {arXiv preprint arXiv:2312.11372},
year = {2023}
}
Comments
8 pages, 3 figures, "The 40th International Symposium on Lattice Field Theory (Lattice 2023)" @ Fermilab