Exploring Ensemble Visualization.

Published

Journal Article

An ensemble is a collection of related datasets. Each dataset, or member, of an ensemble is normally large, multidimensional, and spatio-temporal. Ensembles are used extensively by scientists and mathematicians, for example, by executing a simulation repeatedly with slightly different input parameters and saving the results in an ensemble to see how parameter choices affect the simulation. To draw inferences from an ensemble, scientists need to compare data both within and between ensemble members. We propose two techniques to support ensemble exploration and comparison: a pairwise sequential animation method that visualizes locally neighboring members simultaneously, and a screen door tinting method that visualizes subsets of members using screen space subdivision. We demonstrate the capabilities of both techniques, first using synthetic data, then with simulation data of heavy ion collisions in high-energy physics. Results show that both techniques are capable of supporting meaningful comparisons of ensemble data.

Full Text

Duke Authors

Cited Authors

  • Phadke, MN; Pinto, L; Alabi, F; Harter, J; Taylor, RM; Wu, X; Petersen, H; Bass, SA; Healey, CG

Published Date

  • February 2012

Published In

Volume / Issue

  • 8294 / 82940B

PubMed ID

  • 22347540

Pubmed Central ID

  • 22347540

Electronic International Standard Serial Number (EISSN)

  • 1996-756X

International Standard Serial Number (ISSN)

  • 0277-786X

Digital Object Identifier (DOI)

  • 10.1117/12.912419

Language

  • eng