Performance of Wang-Landau algorithm in continuous spin models and a case study : modified XY-model
arXiv:0711.1031 · doi:10.1016/j.physleta.2008.11.034
Abstract
Performance of Wang-Landau (W-L) algorithm in two continuous spin models is tested by determining the fluctuations in energy histogram. Finite size scaling is performed on a modified XY-model using different W-L sampling schemes. Difficulties faced in simulating relatively large continuous systems using W-L algorithm are discussed.
18 pages, 16 figures
References in corpus (5)
- Fast Algorithm to Calculate Density of States
- Wang-Landau algorithm for continuous models and joint density of states
- Performance Limitations of Flat Histogram Methods and Optimality of Wang-Landau Sampling
- Convergence and Refinement of the Wang-Landau Algorithm
- Wang-Landau Monte Carlo simulation of isotropic-nematic transition in liquid crystals
Cited by in corpus (10)
- Approaches to the sign problem in lattice field theory
- The density of states in gauge theories
- Finite size scaling and first order phase transition in a modified XY-model
- Role of topological defects in the phase transition of modified XY model : A Monte Carlo study
- Intrinsic convergence properties of entropic sampling algorithms
- Reexamination of the mean-field phase diagram of biaxial nematic liquid crystals: Insights from Monte Carlo studies
- An efficient algorithm for numerical computations of continuous densities of states
- Dynamically Optimized Wang-Landau Sampling with Adaptive Trial Moves and Modification Factors
- Complex free energy landscapes in biaxial nematics and role of repulsive interactions : A Wang - Landau study
- Performance of Wang-Landau algorithm in lattice model of liquid crystals