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 topology-based methods to compute map structures in multi-body dynamical environments. In particular, a scalar field visualization technique enhances the contrast between quasi-periodic and chaotic regimes. Also, an autonomous method is outlined to extract map topology in the planar circular restricted three-body problem. The resulting topological skeleton supplies a network of design options through the interconnectivity of orbital structures.
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Acknowledgments
The 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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A previous version of this paper received the Best Paper Award for the AAS/AIAA Astrodynamics Specialist Conference, Hilton Head, South Carolina, August 2013.
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Schlei, W., Howell, K.C., Tricoche, X. et al. Enhanced Visualization and Autonomous Extraction of Poincaré Map Topology. J of Astronaut Sci 61, 170–197 (2014). https://doi.org/10.1007/s40295-015-0042-4
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DOI: https://doi.org/10.1007/s40295-015-0042-4