4.7 Article

Multiscale Monte Carlo equilibration: Pure Yang-Mills theory

Journal

PHYSICAL REVIEW D
Volume 92, Issue 11, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.92.114516

Keywords

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Funding

  1. Office of Science of the U.S. Department of Energy
  2. U.S. Department of Energy Early Career Research Award [DE-SC0010495]
  3. Science Office at MIT
  4. U.S. Department of Energy [DE-SC0010025, DE-FG02-04ER41302, DE-AC05-06OR23177]
  5. U.S. Department of Energy Office of Nuclear Physics [DE-FC02-06ER41444]
  6. U.S. Department of Energy (DOE) [DE-FG02-04ER41302, DE-SC0010025] Funding Source: U.S. Department of Energy (DOE)

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We present a multiscale thermalization algorithm for lattice gauge theory, which enables efficient parallel generation of uncorrelated gauge field configurations. The algorithm combines standard Monte Carlo techniques with ideas drawn from real space renormalization group and multigrid methods. We demonstrate the viability of the algorithm for pure Yang-Mills gauge theory for both heat bath and hybrid Monte Carlo evolution, and show that it ameliorates the problem of topological freezing up to controllable lattice spacing artifacts.

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