Detection of Yarkovsky acceleration in the context of precovery observations and the future Gaia catalogue
Josselin Desmars

TL;DR
This study detects Yarkovsky-induced orbital drifts in near-Earth asteroids using ground-based data, emphasizing the importance of precovery observations and Gaia data for improved orbit accuracy and physical parameter constraints.
Contribution
It introduces a precise dynamical model incorporating Yarkovsky acceleration and demonstrates the significance of precovery and Gaia data in reliable drift detection.
Findings
Identified 46 NEAs with significant semi-major axis drift consistent with previous studies.
Confirmed the 1/D dependence of the Yarkovsky drift on asteroid size.
Highlighted the importance of orbital arc length and precovery data in drift uncertainty reduction.
Abstract
The Yarkovsky effect is a weak non-gravitational force leading to a small variation of the semi-major axis of an asteroid. Using radar measurements and astrometric observations, it is possible to measure a drift in semi-major axis through orbit determination. This paper aims to detect a reliable drift in semi-major axis of near-Earth asteroids (NEAs) from ground-based observations and to investigate the impact of precovery observations and the future Gaia catalogue in the detection of a secular drift in semi-major axis. We have developed a precise dynamical model of an asteroid's motion taking the Yarkovsky acceleration into account and allowing the fitting of the drift in semi-major axis. Using statistical methods, we investigate the quality and the robustness of the detection. By filtering spurious detections with an estimated maximum drift depending on the asteroid's size, we found…
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.
