Search results for "Wang and Landau algorithm"

showing 3 items of 3 documents

Multicanonical multigrid Monte Carlo method.

1994

To further improve the performance of Monte Carlo simulations of first-order phase transitions we propose to combine the multicanonical approach with multigrid techniques. We report tests of this proposition for the d-dimensional ${\mathrm{\ensuremath{\Phi}}}^{4}$ field theory in two different situations. First, we study quantum tunneling for d=1 in the continuum limit, and second, we investigate first-order phase transitions for d=2 in the infinite volume limit. Compared with standard multicanonical simulations we obtain improvement factors of several, and of about one order of magnitude, respectively.

PhysicsPhase transitionMultigrid methodCritical phenomenaMonte Carlo methodLattice field theoryWang and Landau algorithmLimit (mathematics)Continuum (set theory)Statistical physicsPhysical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
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Multicanonical Simulations of the Tails of the Order-Parameter Distribution of the Two-Dimensional Ising Model

2005

We report multicanonical Monte Carlo simulations of the tails of the order-parameter distribution of the two-dimensional Ising model for fixed boundary conditions. Clear numerical evidence for "fat" stretched exponential tails is found below the critical temperature, indicating the possible presence of fat tails at the critical temperature.

PhysicsStatistical Mechanics (cond-mat.stat-mech)High Energy Physics::LatticeMonte Carlo methodGeneral Physics and AstronomyOrder (ring theory)Parameter distributionFOS: Physical sciencesExponential functionDistribution (mathematics)Hardware and ArchitectureWang and Landau algorithmIsing modelBoundary value problemStatistical physicsCondensed Matter - Statistical Mechanics
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Multicanonical Monte Carlo simulations

1998

Canonical Monte Carlo simulations of disordered systems like spin glasses and systems undergoing first-order phase transitions are severely hampered by rare event states which lead to exponentially diverging autocorrelation times with increasing system size and hence to exponentially large statistical errors. One possibility to overcome this problem is the multicanonical reweighting method. Using standard local update algorithms it could be demonstrated that the dependence of autocorrelation times on the system size V is well described by a less divergent power law, τ∝Vα, with 1<α<3, depending on the system. After a brief review of the basic ideas, combinations of multicanonical reweighting…

Statistics and ProbabilityMultigrid methodMonte Carlo methodAutocorrelationExponentWang and Landau algorithmStatistical physicsCondensed Matter PhysicsRandom walkPower lawOrder of magnitudeMathematicsPhysica A: Statistical Mechanics and its Applications
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