Visualizing Nuclear Scission through a Multifield Extension of Topological Analysis

摘要: In nuclear science, density functional theory (DFT) is a powerful tool to model the complex interactions within atomic nucleus, and primary theoretical approach used by physicists seeking better understanding of fission. However DFT simulations result in multivariate datasets which it difficult locate crucial `scission' point at one nucleus fragments into two, identify precursors scission. The Joint Contour Net (JCN) has recently been proposed as new data structure for topological analysis scalar fields, analogous contour tree univariate fields. This paper reports using JCN, first application JCN technique real data. It makes three contributions visualization: (i) set practical methods visualizing (ii) insight detection scission, (iii) an aesthetic criteria drive further work on representing JCN.