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Statistical analysis of astrometric errors for the most productive asteroid surveys.

Authors :
Vereš, Peter
Farnocchia, Davide
Chesley, Steven R.
Chamberlin, Alan B.
Source :
ICARUS. Nov2017, Vol. 296, p139-149. 11p.
Publication Year :
2017

Abstract

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 robust with respect to outliers and handles the larger errors for faint detections. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00191035
Volume :
296
Database :
Academic Search Index
Journal :
ICARUS
Publication Type :
Academic Journal
Accession number :
124270681
Full Text :
https://doi.org/10.1016/j.icarus.2017.05.021