Applying the Wang-Landau Algorithm to Lattice Gauge Theory
Barak Bringoltz, Stephen R. Sharpe (Washington U., Seattle)

TL;DR
This paper applies an enhanced Wang-Landau algorithm to SU(N) lattice gauge theories, accurately determining the phase transition point and supporting the validity of large-N reduction.
Contribution
The authors introduce a variant of the Wang-Landau algorithm with continuous fluctuations, enabling precise density of states calculations for large N lattice gauge theories.
Findings
Identified the coupling lambda_t for the first order transition at large N.
Achieved agreement with multi-histogram reweighting within 0.2%.
Extrapolated results to N=∞, finding 1/lambda_t = 0.3148(2).
Abstract
We implement the Wang-Landau algorithm in the context of SU(N) lattice gauge theories. We study the quenched, reduced version of the lattice theory and calculate its density of states for N=20,30,40,50. We introduce a variant of the original algorithm in which the weight function used in the update does not asymptote to a fixed function, but rather continues to have small fluctuations which enhance tunneling. We formulate a method to evaluate the errors in the density of states, and use the result to calculate the dependence of the average action density and the specific heat on the `t Hooft coupling lambda. This allows us to locate the coupling lambda_t at which a strongly first order transition occurs in the system. For N=20 and 30 we compare our results to those obtained using Ferrenberg-Swendsen multi-histogram reweighting and find agreement with errors of 0.2 % or less.…
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