Detecting the Yarkovsky effect among near-Earth asteroids from astrometric data
Alessio Del Vigna, Laura Faggioli, Andrea Milani, Federica Spoto,, Davide Farnocchia, Benoit Carry

TL;DR
This study identifies and verifies the Yarkovsky effect in near-Earth asteroids using astrometric data, improving impact risk assessment and detection reliability.
Contribution
The paper provides an updated list of 87 reliable Yarkovsky detections and introduces methods to distinguish genuine signals from spurious ones.
Findings
87 reliable Yarkovsky detections identified
24 marginal detections with potential for future confirmation
Detection of solar radiation pressure on small asteroids
Abstract
We present an updated set of near-Earth asteroids with a Yarkovsky-related semimajor axis drift detected from the orbital fit to the astrometry. We find 87 reliable detections after filtering for the signal-to-noise ratio of the Yarkovsky drift estimate and making sure the estimate is compatible with the physical properties of the analyzed object. Furthermore, we find a list of 24 marginally significant detections, for which future astrometry could result in a Yarkovsky detection. A further outcome of the filtering procedure is a list of detections that we consider spurious because unrealistic or not explicable with the Yarkovsky effect. Among the smallest asteroids of our sample, we determined four detections of solar radiation pressure, in addition to the Yarkovsky effect. As the data volume increases in the near future, our goal is to develop methods to generate very long lists of…
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.
