Data Mining-Based Cislunar Escape-Family Analysis in The Multi-Body Models

Fuente: arXiv
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Auteurs principaux: Fu, Shuyue, Wu, Di, Gong, Shengping, Shi, Peng
Format: Preprint
Publié: 2026
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author Fu, Shuyue
Wu, Di
Gong, Shengping
Shi, Peng
author_facet Fu, Shuyue
Wu, Di
Gong, Shengping
Shi, Peng
contents Escape trajectories from the Earth-Moon system play an important role in interplanetary transfer. This paper focuses on the escape trajectories from a 167 km circular Earth orbit in the Earth-Moon planar circular three-body problem and the Sun-Earth/Moon planar bicircular four-body problem and is denoted to providing a comprehensive analysis on these escape trajectories. To achieve these purposes, the global maps of escape trajectories are constructed, and escape trajectories with one lunar gravity assist are pre-filtered. Then, an effective method to identification escape families is proposed based on dynamical analysis and data mining techniques. Once the escape families are identified, the corresponding characteristics are analyzed to provide insights into the construction of escape trajectories. Based on these escape families, the effects of the solar gravity perturbation on the number of escape trajectories, the emergence and disappearance of escape families, variation in generalized energy, and transfer characteristics are further summarized, providing insights into the model selection in the escape trajectory construction. This paper establishes an analysis methodology of escape trajectories from a perspective of escape families, deepening the understanding of escape dynamics.
format Preprint
id arxiv_https___arxiv_org_abs_2601_11881
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Data Mining-Based Cislunar Escape-Family Analysis in The Multi-Body Models
Fu, Shuyue
Wu, Di
Gong, Shengping
Shi, Peng
Earth and Planetary Astrophysics
Escape trajectories from the Earth-Moon system play an important role in interplanetary transfer. This paper focuses on the escape trajectories from a 167 km circular Earth orbit in the Earth-Moon planar circular three-body problem and the Sun-Earth/Moon planar bicircular four-body problem and is denoted to providing a comprehensive analysis on these escape trajectories. To achieve these purposes, the global maps of escape trajectories are constructed, and escape trajectories with one lunar gravity assist are pre-filtered. Then, an effective method to identification escape families is proposed based on dynamical analysis and data mining techniques. Once the escape families are identified, the corresponding characteristics are analyzed to provide insights into the construction of escape trajectories. Based on these escape families, the effects of the solar gravity perturbation on the number of escape trajectories, the emergence and disappearance of escape families, variation in generalized energy, and transfer characteristics are further summarized, providing insights into the model selection in the escape trajectory construction. This paper establishes an analysis methodology of escape trajectories from a perspective of escape families, deepening the understanding of escape dynamics.
title Data Mining-Based Cislunar Escape-Family Analysis in The Multi-Body Models
topic Earth and Planetary Astrophysics
url https://arxiv.org/abs/2601.11881