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arXiv 0910.5231cond-mat.stat-mechhep-lat
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临界回路气体与Worm算法

Critical Loop Gases and the Worm Algorithm

Wolfhard Janke, Thomas Neuhaus, Adriaan M. J. Schakel

摘要:

格点场论的环气方法提供了另一种波动环的几何描述。利用蠕虫更新算法,通过蒙特卡罗模拟可以有效地生成随机循环的统计系综。在本文中,从渗流理论和自避免随机游动理论的概念被用来描述估计的物理观测量,利用蠕虫算法的性质。研究了随机环的分形结构及其标度性质。为了支持这种方法,O(1)回路模型,或高温级数展开的伊辛模型,模拟蜂窝晶格,其已知的精确结果提供了有价值的基准。

英文摘要:

The loop gas approach to lattice field theory provides an alternative, geometrical description in terms of fluctuating loops. Statistical ensembles of random loops can be efficiently generated by Monte Carlo simulations using the worm update algorithm. In this paper, concepts from percolation theory and the theory of self-avoiding random walks are used to describe estimators of physical observables that utilize the nature of the worm algorithm. The fractal structure of the random loops as well as their scaling properties are studied. To support this approach, the O(1) loop model, or high-temperature series expansion of the Ising model, is simulated on a honeycomb lattice, with its known exact results providing valuable benchmarks.

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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