Interactive spatiotemporal visualization of phase space particle trajectories using distance plots

Tyson Neuroth, Kwan-Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The distance plot (or unthresholded recurrence plot) has been shown to be a useful tool for analyzing spatiotemporal patterns in high-dimensional phase space trajectories. We incorporate this technique into an interactive visualization with multiple linked phase plots, and extend the distance plot to also visualize marker particle weights from particle-in-cell (PIC) simulations together with the phase space trajectories. By linking the distance plot with phase plots, one can more easily investigate the spatiotemporal patterns, and by extending the plot to visualize particle weights in conjunction with the phase space trajectories, the visualization better supports the needs of domain experts studying particle-in-cell simulations. We demonstrate our resulting visualization design using particles from an XGC Tokamak fusion simulation.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019
PublisherIEEE Computer Society
Pages232-236
Number of pages5
ISBN (Electronic)9781538692264
DOIs
StatePublished - Apr 1 2019
Event12th IEEE Pacific Visualization Symposium, PacificVis 2019 - Bangkok, Thailand
Duration: Apr 23 2019Apr 26 2019

Publication series

NameIEEE Pacific Visualization Symposium
Volume2019-April
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773

Conference

Conference12th IEEE Pacific Visualization Symposium, PacificVis 2019
CountryThailand
CityBangkok
Period4/23/194/26/19

Keywords

  • Evaluation
  • Expert Interview
  • Flow Analysis
  • Flow Map
  • Flow Targets
  • Use Case

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Software

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  • Cite this

    Neuroth, T., & Ma, K-L. (2019). Interactive spatiotemporal visualization of phase space particle trajectories using distance plots. In Proceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019 (pp. 232-236). [8781560] (IEEE Pacific Visualization Symposium; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/PacificVis.2019.00035