Parallel-tempering cluster algorithm for computer simulations of critical phenomena
In finite-size scaling analyses of Monte Carlo simulations of second-order phase transitions one often needs an extended temperature range around the critical point. By combining the parallel-tempering algorithm with cluster updates and an adaptive routine to find the temperature window of interest,...
Gespeichert in:
| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
1 September 2011
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| In: |
Physical review. E, Statistical, nonlinear, and soft matter physics
Year: 2011, Jahrgang: 84, Heft: 3, Pages: 036701 |
| ISSN: | 1550-2376 |
| DOI: | 10.1103/PhysRevE.84.036701 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1103/PhysRevE.84.036701 Verlag, Volltext: https://link.aps.org/doi/10.1103/PhysRevE.84.036701 
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| Verfasserangaben: | Elmar Bittner and Wolfhard Janke |
MARC
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| 520 | |a In finite-size scaling analyses of Monte Carlo simulations of second-order phase transitions one often needs an extended temperature range around the critical point. By combining the parallel-tempering algorithm with cluster updates and an adaptive routine to find the temperature window of interest, we introduce a flexible and powerful method for systematic investigations of critical phenomena. As a result, we gain one to two orders of magnitude in the performance for two- and three-dimensional Ising models in comparison with the recently proposed Wang-Landau recursion for cluster algorithms based on the multibondic algorithm, which is already a great improvement over the standard multicanonical variant. | ||
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