PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Estimating the accuracy of satellite ephemerides using the bootstrap method
Josselin Desmars, Sylvain Arlot, Jean-Eudes Arlot, Valery Lainey and Alain Vienne
Astronomy & Astrophysics Volume 499, Number 1, pp. 321-330, 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.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:6798
Deposited By:Sylvain Arlot
Deposited On:08 March 2010