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Proceedings Paper

Monte Carlo telescope performance modeling
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Paper Abstract

We describe and demonstrate a telescope performance model based on Monte Carlo simulations. As a specific example, we apply this method to our delivered image quality error budgets for the Advanced Technology Solar Telescope (ATST). The ATST site survey database provides us with probability distributions for parameters that affect image quality, like wind velocity and Fried’s seeing parameter. The histograms characterizing these parameters can be sampled many times randomly to yield fact-based predictions of system performance. From this we are able to estimate the fraction of the time that a given site will meet or exceed the performance goals of the telescope. The calculations are performed using Crystal Ball, an after-market add-in for Microsoft Excel marketed by Decisioneering, Inc. of Denver Colorado.

Paper Details

Date Published: 16 September 2004
PDF: 11 pages
Proc. SPIE 5497, Modeling and Systems Engineering for Astronomy, (16 September 2004); doi: 10.1117/12.550626
Show Author Affiliations
Robert P. Hubbard, National Solar Observatory (United States)
Jacobus M. Oschmann, National Solar Observatory (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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