Probability distribution of the order parameter
Probability distribution of the order parameter
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DOI：
10.1590/s0103-97332004000300021
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发表时间：
2004-06-01
影响因子：
1.6
通讯作者：
Plascak, JA
中科院分区：
文献类型：
--
作者：
Martins, PHL;Plascak, JA
为了得到磁系统的临界性，分析了序参量的概率分布。采用单自旋翻转大都会算法，辅以有限尺度尺度和直方图重加权技术，进行了Monte Carlo模拟。提出了一种方法，即使当模型的转变温度是未知的，以获得这种概率分布。在二维自旋1/2和自旋1的伊辛模型上进行了检验，结果表明，本文的方法可以有效而准确地描述系统的临界性。
The probability distribution of the order parameter is analyzed in order to obtain the criticality of magnetic systems. Monte Carlo simulations have been employed by using single spin flip Metropolis algorithm aided by finite-size scaling and histogram reweighting techniques. A method is proposed to obtain this probability distribution even when the transition temperature of the model is unknown. A test is performed on the two-dimensional spin-1/2 and spin-1 Ising model and the results show that the present procedure can be quite efficient and accurate to describe the criticality of the system.