Performance of two-level sampling for the glueball spectrum in pure gauge theory

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 befo...

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Bibliographic Details
Published in:arXiv.org 2023-12
Main Authors: Barca, Lorenzo, Knechtli, Francesco, Peardon, Michael, Schaefer, Stefan, Juan Andrés Urrea-Niño
Format: Article
Language:English
Subjects:
Algorithms
Correlation
Gauge theory
Noise reduction
Sampling methods
Signal to noise ratio
Online Access:Get full text
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Summary: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.
ISSN:2331-8422