Statistical and Numerical Study of Asteroid Orbital Uncertainty
Josselin Desmars, David Bancelin, Daniel Hestroffer, William Thuillot

TL;DR
This paper analyzes asteroid orbital uncertainties using statistical methods and simulations, comparing database parameters and measurement impacts to improve orbit accuracy for various scientific and practical applications.
Contribution
It provides a comprehensive analysis of asteroid orbit uncertainties, comparing database parameters and assessing measurement impacts with statistical and simulation methods.
Findings
Uncertainty parameters correlate with asteroid characteristics.
Simulations show measurement types significantly affect orbit accuracy.
Database parameters can be validated and improved through statistical analysis.
Abstract
The knowledge of the orbit or the ephemeris uncertainty of asteroid presents a particular interest for various purposes. These quantities are for instance useful for recovering asteroids, for identifying lost asteroids or for planning stellar occultation campaigns. They are also needed to estimate the close approach of Near-Earth asteroids, and subsequent risk of collision. Ephemeris accuracy can also be used for instrument calibration purposes or for scientific applications. Asteroid databases provide information about the uncertainty of the orbits allowing the measure of the quality of an orbit. The aims of this paper is to analyse these different uncertainty parameters and to estimate the impact of the different measurements on the uncertainty of orbits. We particularly deal with two main databases ASTORB and MPCORB providing uncertainty parameters for asteroid orbits. Statistical…
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.
