引入了路径积分蒙特卡罗结果分析的alpha形状

P. Moran, M. Wagner
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引用次数: 6

摘要

我们提出了一种基于/spl α /-复合物和/spl α /-形状的蒙特卡罗模拟结果可视化和分析的新技术。具体应用是分析极低温下表面上氢分子和氦原子的量子力学行为。该技术在两个方面对现有技术进行了改进。首先,该方法允许人们可视化随机游走中不同细节级别的点,并交互式地选择最合适的细节级别。其次,使用/spl alpha/-形状可以获得系统空间特性的定量度量,例如集群的边界长度和内部面积,这些将很难获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introducing alpha shapes for the analysis of path integral Monte Carlo results
We present a new technique for the visualization and analysis of the results from Monte Carlo simulations based on /spl alpha/-complexes and /spl alpha/-shapes. The specific application presented is the analysis of the quantum-mechanical behavior of hydrogen molecules and helium atoms on a surface at very low temperatures. The technique is an improvement over existing techniques in two respects. First, the approach allows one to visualize the points on a random walk at varying levels of detail and interactively select the level of detail that is most appropriate. Second, using /spl alpha/-shapes one can obtain quantitative measures of spatial properties of the system, such as the boundary length and interior area of clusters, that would be difficult to obtain otherwise.<>
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