Heat Bath Efficiency with Metropolis-Type Updating

Abstract

We illustrate for 4D SU(2) and U(1) lattice gauge theory that sampling with a biased Metropolis scheme is essentially equivalent to using the heat bath algorithm. Only, the biased Metropolis method can also be applied when an efficient heat bath algorithm does not exist.

arXiv comment5 pages, 4 figures. Revisions after referee reports

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• Infrared conformality and bulk critical points: SU(2) with heavy adjoint quarks
• Variational method for estimating the rate of convergence of Markov Chain Monte Carlo algorithms
• Rugged Metropolis Sampling with Simultaneous Updating of Two Dynamical Variables
• Program package for multicanonical simulations of U(1) lattice gauge theory
• Deconfined SU(2) phase with a massive vector boson triplet
• Vector boson mass generation without new fields
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• Topological order and the vacuum of Yang-Mills theories
• Diagrammatic Monte-Carlo for weak-coupling expansion of non-Abelian lattice field theories: large-N U(N)xU(N) principal chiral model
• Topological Data Analysis of Monopole Current Networks in $U(1)$ Lattice Gauge Theory
• On the energy momentum dispersion in the lattice regularization
• General heatbath algorithm for pure lattice gauge theory