DocumentCode
1365211
Title
Visualization of Topological Structures in Area-Preserving Maps
Author
Tricoche, Xavier ; Garth, Christoph ; Sanderson, Allen
Author_Institution
Purdue Univ., West Lafayette, IN, USA
Volume
17
Issue
12
fYear
2011
Firstpage
1765
Lastpage
1774
Abstract
Area-preserving maps are found across a wide range of scientific and engineering problems. Their study is made challenging by the significant computational effort typically required for their inspection but more fundamentally by the fractal complexity of salient structures. The visual inspection of these maps reveals a remarkable topological picture consisting of fixed (or periodic) points embedded in so-called island chains, invariant manifolds, and regions of ergodic behavior. This paper is concerned with the effective visualization and precise topological analysis of area-preserving maps with two degrees of freedom from numerical or analytical data. Specifically, a method is presented for the automatic extraction and characterization of fixed points and the computation of their invariant manifolds, also known as separatrices, to yield a complete picture of the structures present within the scale and complexity bounds selected by the user. This general approach offers a significant improvement over the visual representations that are so far available for area-preserving maps. The technique is demonstrated on a numerical simulation of magnetic confinement in a fusion reactor.
Keywords
Poincare mapping; computational complexity; data visualisation; ergonomics; feature extraction; fractals; fusion reactors; inspection; plasma toroidal confinement; topology; area-preserving map; automatic extraction; engineering problem; ergodic behavior; fractal complexity; fusion reactor; invariant manifold; island chain; numerical data; scientific problem; topological picture; topological structure visualization; visual inspection; visual representation; Chaos theory; Data visualization; Fusion reactors; Manifolds; Topology; Poincaré map; area-preserving maps; chaos; dynamical systems; invariant manifolds.; topology;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2011.254
Filename
6064939
Link To Document