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Proceedings Paper

A comparison of statistical methods for fitting telescope pointing models
Author(s): Robert L. Meeks
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Paper Abstract

Telescope mount models use a mathematical model to introduce commanded position adjustments to compensate for predictable pointing errors. The parameters of the model are estimated from observed pointing deviations on a set of calibration stars. These calibration measurements generally contain random noise and other features that limit the precision of the parameter estimates and ultimately degrade pointing. This paper compares the ability of various statistical solution methods to improve the precision of the parameter estimates and improve pointing

Paper Details

Date Published: 16 September 2004
PDF: 11 pages
Proc. SPIE 5497, Modeling and Systems Engineering for Astronomy, (16 September 2004); doi: 10.1117/12.550754
Show Author Affiliations
Robert L. Meeks, EOS Technologies, Inc. (United States)

Published in SPIE Proceedings Vol. 5497:
Modeling and Systems Engineering for Astronomy
Simon C. Craig; Martin J. Cullum, Editor(s)

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