Probability-Changing Cluster Algorithm : Study of Three-Dimensional Ising Model and Percolation Problem
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概要
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We present a detailed description of the idea and procedure for the newly proposed Monte Carlo algorithm of tuning the critical point automatically, which is called the probability-changing cluster (PCC) algorithm [Y. Tomita and Y. Okabe: Phys. Rev. Lett. 86 (2001) 572]. Using the PCC algorithm, we investigate the three-dimensional Ising model and the bond percolation problem. We employ a refined finite-size scaling analysis to make estimates of critical point and exponents. With much less efforts, we obtain the results which are consistent with the previous calculations. We argue several directions for the application of the PCC algorithm.
- 社団法人日本物理学会の論文
- 2002-06-15
著者
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Tomita Yusuke
Department Of Oral Function And Molecular Biology Ohu University School Of Dentistry
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Okabe Yutaka
Department Of Applied Chemistry Science And Engineering Waseda University
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Tomita Yusuke
Department Of Physics Tokyo Metropolitan University
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Tomita Yusuke
Department Of Immunogenetics Graduate School Of Medical Sciences Kumamoto University
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