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arXiv 0903.2022cond-mat.stat-mech
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具有守恒序参量的簇蒙特卡罗算法

A cluster Monte Carlo algorithm with a conserved order parameter

Victor Martin-Mayor, David Yllanes

摘要:

提出了一种固定序参量的统计集成聚类模拟算法。我们使用系留合奏,其特点是亥姆霍兹的有效潜力,而不是吉布斯的自由能,并在其中正则平均恢复任意精度。对于D = 2,3的伊辛模型,我们的方法的临界减速是可比的规范聚类算法。然而,我们可以做的不仅仅是复制规范值。作为一个例子,我们从有效势的最大值得到了三维伊辛反常维数的竞争值。

英文摘要:

We propose a cluster simulation algorithm for statistical ensembles with fixed order parameter. We use the tethered ensemble, which features Helmholtz's effective potential rather than Gibbs's free energy, and in which canonical averages are recovered with arbitrary accuracy. For the D = 2,3 Ising model our method's critical slowing down is comparable to that of canonical cluster algorithms. Yet, we can do more than merely reproduce canonical values. As an example, we obtain a competitive value for the 3D Ising anomalous dimension from the maxima of the effective potential.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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