Topological Feature Search in Time-Varying Multifield Data

A wide range of data that appear in scientific experiments and simulations are multivariate or multifield nature, consisting multiple scalar fields. Topological feature search such aims to reveal important properties useful the domain scientists. It has been shown recent works a single field is insufficient capture many topological features data, instead one needs consider relationships between In current paper, we propose novel method finding similarity two by comparing their respective fiber component distributions. Given time-varying computes metric plot for each pair histograms at consecutive time stamps understand changes over time. We validate using real synthetic data. The effectiveness proposed its ability not always possible detect individual