An integrated exploration approach to visualizing multivariate particle data

Chad Jones; Kwan-Liu Ma; Stéphane Ethier; Wei Li Lee

doi:10.1109/MCSE.2008.88

An integrated exploration approach to visualizing multivariate particle data

Chad Jones, Kwan-Liu Ma, Stéphane Ethier, Wei Li Lee

Computer Science

Research output: Contribution to journal › Article

11 Scopus citations

Abstract

The authors describe a data exploration system that visualizes time-varying, multivariate, point-based data from gyrokinetic particle simulations. By using two interaction modes, their system lets researchers explore collections of densely packed particles and discover interesting aspects, such as the location and motion of particles trapped in turbulent plasma flow.

Original language	English (US)
Article number	4548201
Pages (from-to)	20-29
Number of pages	10
Journal	Computing in Science and Engineering
Volume	10
Issue number	4
DOIs	https://doi.org/10.1109/MCSE.2008.88
State	Published - Jul 1 2008

ASJC Scopus subject areas

Computer Science(all)
Engineering(all)

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10.1109/MCSE.2008.88

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Jones, C., Ma, K-L., Ethier, S., & Lee, W. L. (2008). An integrated exploration approach to visualizing multivariate particle data. Computing in Science and Engineering, 10(4), 20-29. [4548201]. https://doi.org/10.1109/MCSE.2008.88

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