An investigation on space debris of unknown origin using proper elements and neural networks

DOI10.1007/S10569-023-10157-0zbMath1527.70014MaRDI QIDQ6171491

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Publication date: 11 August 2023

Published in: Celestial Mechanics and Dynamical Astronomy (Search for Journal in Brave)

zbMATH Keywords

neural networkunsupervised learning methodasteroid familydensity-based spatial clusteringEarth-orbiting objectFourier-series synthetic method

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computational methods for problems pertaining to mechanics of particles and systems (70-08) Celestial mechanics (70F15)

Cites Work

• Relativistic effects for near-Earth satellite orbit determination
• Non-averaged regularized formulations as an alternative to semi-analytical orbit propagation methods
• Physics-informed neural networks for gravity field modeling of small bodies
• Proper elements for space debris
• Fundamentals of astrodynamics and applications. With technical contributions by Wayne D. McClain.
• Synthetic proper elements for outer main belt asteroids

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