An N-body approach to modeling debris and ejecta off small bodies: Implementation and application
Jennifer N. Larson, Gal Sarid

TL;DR
This paper introduces RED, a new N-body simulation package built as an extension to Rebound, designed to model debris and ejecta from small bodies like asteroids with high accuracy and efficiency, incorporating multiple physical effects.
Contribution
The paper presents a novel Python-based N-body modeling tool, RED, that extends Rebound to simulate debris evolution around small bodies with multiple physical mechanisms included.
Findings
Successfully modeled ejecta dynamics for a binary asteroid system
Demonstrated the capability to include various physical effects in simulations
Provided a flexible, modular tool for future small body debris studies
Abstract
We introduce here our new approach to modeling particle cloud evolution off surface of small bodies (asteroids and comets), following the evolution of ejected particles requires dealing with various time and spatial scales, in an efficient, accurate and modular way. In order to improve computational efficiency and accuracy of such calculations, we created an N-body modeling package as an extension to the increasingly popular orbital dynamics N-body integrator Rebound. Our code is currently a stand-alone variant of the Rebound code and is aimed at advancing a comprehensive understanding of individual particle trajectories, external forcing, and interactions, at the scale which is otherwise overlooked by other modeling approaches. The package we developed -- Rebound Ejecta Dynamics (RED) -- is a Python-based implementation with no additional dependencies. It incorporates several major…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
