Classifying and characterizing the evolution of minimum orbit intersection distance for near-Earth asteroids
Shoucun Hu, Yuanyuan Chen, Xinran Li, Xiuhai Wang, Xuefeng Wang

TL;DR
This study analyzes the long-term evolution of minimum orbit intersection distances (MOIDs) for near-Earth asteroids, proposing a new classification index and methods for rapid impact risk assessment over 200 years.
Contribution
Introduces the MOID Evolution Index (MEI) and a classification scheme for NEAs based on MOID variations, enhancing impact risk screening and orbit analysis.
Findings
MOID relative to the Earth-Moon barycenter is a better impact predictor.
Linear fitting effectively estimates MOID evolution for most NEAs.
A comprehensive database supports impact risk assessment and orbital analysis.
Abstract
In this paper, the minimum orbit intersection distances (MOIDs) of near-Earth asteroids (NEAs) over the next 200 years were computed and analyzed in detail. It was shown that the MOID of a NEA relative to the Earth-Moon barycenter (EMB) is usually a superior metric for predicting a potential impact than that relative to the Earth. Subsequently, a novel MOID Evolution Index (MEI) spanning from 0.0 to 9.9 was proposed and the orbits of NEAs are classified into 100 distinct categories by considering the variations of the MOID over time, which is useful for quickly screening and prioritizing hazardous asteroids for future research. Furthermore, it was demonstrated that a linear fitting to the MOID evolution provides a simple yet valid approach for most of the NEAs, which is useful for quickly estimating the MOID value without the need to perform an orbit propagation. As a result, a scheme…
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Taxonomy
TopicsAstro and Planetary Science · Space Satellite Systems and Control · Planetary Science and Exploration
