A trained XGBoost classifier predicts stable and unstable orbits around a planet from nine initial orbital parameters with about 98% accuracy and at far lower cost than N-body simulation.
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Machine learning approach for mapping the stable orbits around planets
A trained XGBoost classifier predicts stable and unstable orbits around a planet from nine initial orbital parameters with about 98% accuracy and at far lower cost than N-body simulation.