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Introducing alpha shapes for the analysis of path integral Monte Carlo results

机译:引入alpha形状以分析路径积分Monte Carlo结果

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We present a new technique for the visualization and analysis of the results from Monte Carlo simulations based on α-complexes and α-shapes. The specific application we present in this article is the analysis of the quantum-mechanical behavior of hydrogen molecules and helium atoms on a surface at very low temperatures. Our technique is an improvement over existing techniques in two respects. First, our 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 α-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.
机译:我们提出了一种新技术,用于可视化和分析基于α络合物和α形状的蒙特卡洛模拟的结果。我们在本文中提出的特定应用是在非常低的温度下分析表面上的氢分子和氦原子的量子力学行为。我们的技术从两个方面对现有技术进行了改进。首先,我们的方法允许人们以不同的细节级别可视化随机行走中的点,并以交互方式选择最合适的细节级别。第二,使用α形可以获得系统空间特性的定量度量,例如簇的边界长度和内部面积,否则将很难获得这些度量。

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