论文标题
多态性：通过交互式物理学可视化宇宙学数据集的结构分析
Polyphorm: Structural Analysis of Cosmological Datasets via Interactive Physarum Polycephalum Visualization
论文作者
论文摘要
本文介绍了多态，这是一种交互式可视化和模型拟合工具，该工具为研究宇宙数据集提供了一种新颖的方法。 Through a fast computational simulation method inspired by the behavior of Physarum polycephalum, an unicellular slime mold organism that efficiently forages for nutrients, astrophysicists are able to extrapolate from sparse datasets, such as galaxy maps archived in the Sloan Digital Sky Survey, and then use these extrapolations to inform analyses of a wide range of other data, such as spectroscopic observations captured by the Hubble太空望远镜。研究人员可以通过调整模型参数进行交互性更新模拟，然后研究所得的视觉输出以形成有关数据的假设。我们描述了多相模拟模型及其相互作用和可视化模式的详细信息，并通过三种科学用例来评估多态，这些案例证明了我们方法的有效性。
This paper introduces Polyphorm, an interactive visualization and model fitting tool that provides a novel approach for investigating cosmological datasets. Through a fast computational simulation method inspired by the behavior of Physarum polycephalum, an unicellular slime mold organism that efficiently forages for nutrients, astrophysicists are able to extrapolate from sparse datasets, such as galaxy maps archived in the Sloan Digital Sky Survey, and then use these extrapolations to inform analyses of a wide range of other data, such as spectroscopic observations captured by the Hubble Space Telescope. Researchers can interactively update the simulation by adjusting model parameters, and then investigate the resulting visual output to form hypotheses about the data. We describe details of Polyphorm's simulation model and its interaction and visualization modalities, and we evaluate Polyphorm through three scientific use cases that demonstrate the effectiveness of our approach.
