格点量子色动力学数据的联合等值线网分析
Joint Contour Net analysis of lattice QCD data
摘要：
格点量子色动力学（QCD）是理论物理学家用来模拟强核力的一种方法。这在亚核尺度下起作用，将夸克结合在一起形成强子，包括质子和中子。格点量子色动力学的长期目标之一是在热力学控制参数温度和重子化学势变化的情况下，给出QCD物质的相图。预测相图中的临界点的能力，称为相变，是领域科学家面临的持续挑战之一。在这项工作中，我们考虑如何多元拓扑可视化技术可以应用到模拟数据，以帮助域科学家预测的位置相变。在这个过程中，它的目的是将这些技术应用到格点量子色动力学将加强解释输出的多元拓扑算法，包括联合轮廓网络。格点量子色动力学提供了一个有趣的机会，使用这些技术，因为它提供了一个丰富的阵列相互作用的标量场的分析，但是，它也提出了独特的挑战，由于它依赖于量子力学来解释数据。
英文摘要：
Lattice Quantum Chromodynamics (QCD) is an approach used by theoretical physicists to model the strong nuclear force. This works at the sub-nuclear scale to bind quarks together into hadrons including the proton and neutron. One of the long term goals in lattice QCD is to produce a phase diagram of QCD matter as thermodynamic control parameters temperature and baryon chemical potential are varied. The ability to predict critical points in the phase diagram, known as phase transitions, is one of the on-going challenges faced by domain scientists. In this work we consider how multivariate topological visualisation techniques can be applied to simulation data to help domain scientists predict the location of phase transitions. In the process it is intended that applying these techniques to lattice QCD will strengthen the interpretation of output from multivariate topological algorithms, including the joint contour net. Lattice QCD presents an interesting opportunity for using these techniques as it offers a rich array of interacting scalar fields for analysis; however, it also presents unique challenges due to its reliance on quantum mechanics to interpret the data.
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