Presentation + Paper
13 December 2020 Roman CGI testbed HOWFSC modeling and validation
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Abstract
Optical diffraction and wavefront sensing and control (WFSC) models validated against the high-fidelity Roman Space Telescope Coronagraph Instrument (CGI) testbed play a key role in mask design selection and the verification of many requirements that cannot be accomplished until the observatory is in orbit. We have been steadily improving our model fidelity for the as-built CGI testbed system. We demonstrate recently good agreement between measurements and model predictions while validating the Hybrid Lyot Coronagraph’s (HLC) performance using the in-orbit high order wavefront sensing and control (HOWFSC) operational scenario. We present modeling and testbed validation results that explain the reason why many testbed WFSC iterations were needed for HLC in the past. A new, direct application of model-generated initial deformable mirror (DM) voltage pattern has since been successfully demonstrated on the testbed with significant speed and performance improvement. This opens up new model-based initial DM pattern WFSC approaches for CGI. This can greatly reduce flight risk from potentially insufficient ground DM pattern generation due to schedule or cost constraints or from unexpected post-delivery changes. This work was performed at the Jet Propulsion Laboratory, California Institute of Technology under contract to NASA.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hanying Zhou, John Krist, Byoung-Joon Seo, Brian Kern, Eric Cady, and Ilya Poberezhskiy "Roman CGI testbed HOWFSC modeling and validation", Proc. SPIE 11443, Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave, 114431W (13 December 2020); https://doi.org/10.1117/12.2561087
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Cited by 1 scholarly publication.
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KEYWORDS
Coronagraphy

Wavefronts

Deformable mirrors

Diffraction

Instrument modeling

Observatories

Performance modeling

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