Parallel-tempering cluster algorithm for computer simulations of critical phenomena

• Verfasst von: Bittner, Elmar [VerfasserIn]
• Verfasst von: Janke, Wolfhard [VerfasserIn]
• Titel: Parallel-tempering cluster algorithm for computer simulations of critical phenomena
• Verf.angabe: Elmar Bittner and Wolfhard Janke
• Fussnoten: Gesehen am 13.11.2017
• Titel Quelle: Enthalten in: Physical review / E
• Jahr Quelle: 2011
• Band/Heft Quelle: 84(2011,3) Artikel-Nummer 036701, 4 Seiten
• ISSN Quelle: 1550-2376
• DOI: doi:10.1103/PhysRevE.84.036701
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1565276906

Abstract

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.