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arXiv 2402.18985cond-mat.stat-mechcs.AI
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基于微正则群体退火方法的Blume-Capel模型分析

Blume-Capel model analysis with microcanonical population annealing method

Landau Institute for Theoretical Physics(朗道理论物理研究所);HSE University(高等经济大学)

Vyacheslav Mozolenko, Lev Shchur

AI总结:

本文改进Rose-Machta算法并结合微正则群体退火方法,通过并行模拟$10^5$个副本分析二维Blume-Capel模型的态密度、临界温度与临界指数,结果与多种经典方法一致,并清晰揭示了比热在临界线和三临界点附近的典型行为。

摘要:

我们提出了Rose-Machta算法(Phys. Rev. E 100 (2019) 063304)的一种改进形式,并估计了二维Blume-Capel模型的态密度,对每组参数并行模拟了$10^5$个副本。我们对比热和Binder累积量进行了有限尺寸分析,确定了临界线上的临界温度,并评估了临界指数。所得结果与先前使用多种方法——马尔可夫链蒙特卡罗模拟、Wang-Landau模拟、转移矩阵和级数展开——获得的结果高度一致。模拟结果清晰地展示了比热沿临界线以及通过三临界点时的典型行为。

英文摘要:

We present a modification of the Rose-Machta algorithm (Phys. Rev. E 100 (2019) 063304) and estimate the density of states for a two-dimensional Blume-Capel model, simulating $10^5$ replicas in parallel for each set of parameters. We perform a finite-size analysis of the specific heat and Binder cumulant, determine the critical temperature along the critical line, and evaluate the critical exponents. The results obtained are in good agreement with those obtained previously using various methods -- Markov Chain Monte Carlo simulation, Wang-Landau simulation, transfer matrix, and series expansion. The simulation results clearly illustrate the typical behavior of specific heat along the critical lines and through the tricritical point.

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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