Enhanced Visualization and Autonomous Extraction o

Authors: Wayne Schlei Kathleen C Howell Xavier Tricoche Christoph Garth

Publish Date: 2015/07/14

Volume: 61, Issue: 2, Pages: 170-197

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Abstract

Poincaré maps supply vital descriptions of dynamical behavior in spacecraft trajectory analysis but the puncture plot the standard display method for maps typically requires significant external effort to extract topology This investigation presents adaptations of topologybased methods to compute map structures in multibody dynamical environments In particular a scalar field visualization technique enhances the contrast between quasiperiodic and chaotic regimes Also an autonomous method is outlined to extract map topology in the planar circular restricted threebody problem The resulting topological skeleton supplies a network of design options through the interconnectivity of orbital structuresThe authors are grateful to Rune and Barbara Eliasen for their support in funding the Rune and Barbara Eliasen Visualization Laboratory at Purdue University Also the authors wish to acknowledge Visualization Sciences Group the developers of Avizo® for programming and implementation assistance with the visualization tools employed in this work A significant portion of this research is supported as part of the NSF CAREER Program Award 1150000 Efficient Structural Analysis of Multivariate Fields for Scalable Visualizations This effort is also supported by the Computer Science Department and the School of Aeronautics and Astronautics at Purdue University

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