arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0809.2535cond-mat.stat-mech
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二维伊辛模型的序参量分布的普适特征和尾部分析:熵抽样蒙特卡罗研究

Universal features and tail analysis of the order-parameter distribution of the two-dimensional Ising model: An entropic sampling Monte Carlo study

Anastasios Malakis, Nikolaos G. Fytas

摘要:

本文给出了线性尺寸格点$L=80-140$的平方伊辛模型的序参量概率密度函数的数值研究。最近有效的熵采样方案,结合王朗道和宽直方图方法和基于高层次的王朗道过程中的主导能量子空间。我们发现,对于大的晶格存在一个稳定的窗口的缩放序参量,其中包括指前因子的尾政权的普遍PDF的完整的anananomaly很好地遵守。该窗口用于估计状态方程指数,并观察通用PDF的函数形式中隐含的通用常数的行为。的概率密度被用来估计普适Privman-Fisher系数,并调查是否可以获得可靠的估计的普遍常数控制的渐近行为的尾巴制度。

英文摘要:

We present a numerical study of the order-parameter probability density function (PDF) of the square Ising model for lattices with linear sizes $L=80-140$. A recent efficient entropic sampling scheme, combining the Wang-Landau and broad histogram methods and based on the high-levels of the Wang-Landau process in dominant energy subspaces is employed. We find that for large lattices there exists a stable window of the scaled order-parameter in which the full ansatz including the pre-exponential factor for the tail regime of the universal PDF is well obeyed. This window is used to estimate the equation of state exponent and to observe the behavior of the universal constants implicit in the functional form of the universal PDF. The probability densities are used to estimate the universal Privman-Fisher coefficient and to investigate whether one could obtain reliable estimates of the universal constants controlling the asymptotic behavior of the tail regime.

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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