Statistical Analysis of Astrometric Errors for the Most Productive Asteroid Surveys

Peter Vereš, Davide Farnocchia, Steven R. Chesley, Alan Chamberlin
(Submitted on 9 Mar 2017)

We performed a statistical analysis of the astrometric errors for the major asteroid surveys. We analyzed the astrometric residuals as a function of observation epoch, observed brightness and rate of motion, finding that astrometric errors are larger for faint observations and some stations improved their astrometric quality over time. Based on this statistical analysis we develop a new weighting scheme to be used when performing asteroid orbit determination. The proposed weights result in ephemeris predictions that can be conservative by a factor as large as 1.5. However, the new scheme is more robust with respect to outliers and better handles faint detections.

Comments:    25 pages, 11 figures, 5 tables
Subjects:    Earth and Planetary Astrophysics (astro-ph.EP)
Cite as:    arXiv:1703.03479 [astro-ph.EP] (or arXiv:1703.03479v1 [astro-ph.EP] for this version)
Submission history
From: Peter Vereš
[v1] Thu, 9 Mar 2017 22:20:57 GMT (4046kb,D)
https://arxiv.org/abs/1703.03479