Topological Visualisation Techniques for the Understanding of Lattice Quantum Chromodynamics (LQCD) Simulations
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Date
2016
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Journal Title
Journal ISSN
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Publisher
The Eurographics Association
Abstract
The use of topology for visualisation applications has become increasingly popular due to its ability to summarise data at a high level. Criticalities in scalar field data are used by visualisation methods such as the Reeb graph and contour trees to present topological structure in simple graph based formats. These techniques can be used to segment the input field, recognising the boundaries between multiple objects, allowing whole contour meshes to be seeded as separate objects. In this paper we demonstrate the use of topology based techniques when applied to theoretical physics data generated from Quantum Chromodynamics simulations, which due to its structure complicates their use. We also discuss how the output of algorithms involved in topological visualisation can be used by physicists to further their understanding of Quantum Chromodynamics.
Description
@inproceedings{10.2312:cgvc.20161298,
booktitle = {Computer Graphics and Visual Computing (CGVC)},
editor = {Cagatay Turkay and Tao Ruan Wan},
title = {{Topological Visualisation Techniques for the Understanding of Lattice Quantum Chromodynamics (LQCD) Simulations}},
author = {Thomas, Dean P. and Borgo, Rita and Hands, Simon},
year = {2016},
publisher = {The Eurographics Association},
ISSN = {-},
ISBN = {978-3-03868-022-2},
DOI = {10.2312/cgvc.20161298}
}