Monte Carlo telescope performance modeling

Robert P. Hubbard; Jacobus M. Oschmann Jr.

doi:10.1117/12.550626

16 September 2004 Monte Carlo telescope performance modeling

Robert P. Hubbard, Jacobus M. Oschmann Jr.

Author Affiliations +

Proceedings Volume 5497, Modeling and Systems Engineering for Astronomy; (2004) https://doi.org/10.1117/12.550626
Event: SPIE Astronomical Telescopes + Instrumentation, 2004, Glasgow, United Kingdom

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.

Citation Download Citation

Robert P. Hubbard and Jacobus M. Oschmann Jr. "Monte Carlo telescope performance modeling", Proc. SPIE 5497, Modeling and Systems Engineering for Astronomy, (16 September 2004); https://doi.org/10.1117/12.550626

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