Topological sampling through windings
Abstract
We propose a modification of the Hybrid Monte Carlo (HMC) algorithm that overcomes the topological freezing of a two-dimensional gauge theory with and without fermion content. This algorithm includes reversible jumps between topological sectorswinding stepscombined with standard HMC steps. The full algorithm is referred to as winding HMC (wHMC), and it shows an improved behaviour of the autocorrelation time towards the continuum limit. We find excellent agreement between the wHMC estimates of the plaquette and topological susceptibility and the analytical predictions in the pure gauge theory, which are known even at finite . We also study the expectation values in fixed topological sectors using both HMC and wHMC, with and without fermions. Even when topology is frozen in HMCleading to significant deviations in topological as well as non-topological quantitiesthe two algorithms agree on the fixed-topology averages. Finally, we briefly compare the wHMC algorithm results to those obtained with master-field simulations of size .
Cite
@article{arxiv.2106.14234,
title = {Topological sampling through windings},
author = {David Albandea and Pilar Hernández and Alberto Ramos and Fernando Romero-López},
journal= {arXiv preprint arXiv:2106.14234},
year = {2023}
}
Comments
12 pages, 17 figures, 2 tables. Minor corrections to Table I, Figure 4, and Equations (28) and (29). Conclusions unchanged