Issue |
A&A
Volume 499, Number 1, May III 2009
|
|
---|---|---|
Page(s) | 321 - 330 | |
Section | Celestial mechanics and astrometry | |
DOI | https://doi.org/10.1051/0004-6361/200811509 | |
Published online | 25 March 2009 |
Estimating the accuracy of satellite ephemerides using the bootstrap method
1
Institut de Mécanique Céleste et de Calcul des Éphémérides, Observatoire de Paris, UMR 8028 CNRS, 77 avenue Denfert-Rochereau, 75014 Paris, France e-mail: desmars@imcce.fr
2
Univ. Pierre & Marie Curie, 4 place Jussieu, 75252 Paris, France
3
CNRS, Willow Project-Team, Laboratoire d'Informatique de l'École Normale Supérieure (CNRS/ENS/INRIA UMR 8548), 45 rue d'Ulm, 75230 Paris, France
4
LAL, Univ. de Lille, 59000 Lille, France
Received:
12
December
2008
Accepted:
18
February
2009
Context. The accuracy of predicted orbital positions depends on the quality of the theorical model and of the observations used to fit the model. During the period of observations, this accuracy can be estimated through comparison with observations. Outside this period, the estimation remains difficult. Many methods have been developed for asteroid ephemerides in order to evaluate this accuracy.
Aims. This paper introduces a new method to estimate the accuracy of predicted positions at any time, in particular outside the observation period.
Methods. This new method is based upon a bootstrap resampling and allows this estimation with minimal assumptions.
Results. The method was applied to two of the main Saturnian satellites, Mimas and Titan, and compared with other methods used previously for asteroids. The bootstrap resampling is a robust and practical method for estimating the accuracy of predicted positions.
Key words: planets and satellites: individual: Mimas / planets and satellites: individual: Titan / ephemerides / methods: statistical
© ESO, 2009
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.