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Proceedings Paper

Have confidence in your coronagraph: statistical analysis of high-contrast coronagraph dynamics error budgets
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Paper Abstract

We have combined our Excel-based coronagraph dynamics error budget spreadsheets with DAKOTA scripts to perform statistical analyses of the predicted dark-hole contrast. Whereas in the past we have reported the expected contrast level for an input set of allocated parameters, we now generate confidence intervals for the predicted contrast. Further, we explore the sensitivity to individual or groups of parameters and model uncertainty factors through aleatory-epistemic simulations based on a surrogate model fitted to the error budget. We show example results for a generic high-contrast coronagraph.

Paper Details

Date Published: 4 August 2014
PDF: 8 pages
Proc. SPIE 9150, Modeling, Systems Engineering, and Project Management for Astronomy VI, 915018 (4 August 2014); doi: 10.1117/12.2054960
Show Author Affiliations
Stuart B. Shaklan, Jet Propulsion Lab. (United States)
Luis Marchen, Jet Propulsion Lab. (United States)
Lee Peterson, Jet Propulsion Lab. (United States)
Marie B. Levine, Jet Propulsion Lab. (United States)


Published in SPIE Proceedings Vol. 9150:
Modeling, Systems Engineering, and Project Management for Astronomy VI
George Z. Angeli; Philippe Dierickx, Editor(s)

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