Easily Retrievable Objects among the NEO Population

TL;DR

This paper introduces a method to identify Near-Earth Objects (NEOs) that can be easily retrieved using low-energy transfers based on invariant manifold dynamics, aiding future resource exploitation efforts.

Contribution

It defines a family of Easily Retrievable Objects (EROs) and presents a catalogue of 12 asteroid candidates accessible with low Δv, using a novel dynamical systems approach.

Findings

Identified 12 asteroid candidates retrievable with less than 500 m/s Δv.

Utilized invariant manifold dynamics for low-energy transfer pathways.

Proposed a robust, automated ranking methodology for NEO retrieval candidates.

Abstract

Asteroids and comets are of strategic importance for science in an effort to understand the formation, evolution and composition of the Solar System. Near-Earth Objects (NEOs) are of particular interest because of their accessibility from Earth, but also because of their speculated wealth of material resources. The exploitation of these resources has long been discussed as a means to lower the cost of future space endeavours. In this paper, we consider the currently known NEO population and define a family of so-called Easily Retrievable Objects (EROs), objects that can be transported from accessible heliocentric orbits into the Earth's neighbourhood at affordable costs. The asteroid retrieval transfers are sought from the continuum of low energy transfers enabled by the dynamics of invariant manifolds; specifically, the retrieval transfers target planar, vertical Lyapunov and halo orbit families associated with the collinear equilibrium points of the Sun-Earth Circular Restricted Three Body problem. The judicious use of these dynamical features provides the best opportunity to find extremely low energy Earth transfers for asteroid material. A catalogue of asteroid retrieval candidates is then presented. Despite the highly incomplete census of very small asteroids, the ERO catalogue can already be populated with 12 different objects retrievable with less than 500 m/s of {\Delta}v. Moreover, the approach proposed represents a robust search and ranking methodology for future retrieval candidates that can be automatically applied to the growing survey of NEOs.