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dc.contributor.authorMilani, Kian
dc.contributor.authorDouglas, Ewan S.
dc.date.accessioned2021-05-04T21:46:15Z
dc.date.available2021-05-04T21:46:15Z
dc.date.issued2020-08-20
dc.identifier.citationMilani, K., & Douglas, E. S. (2020, August). Faster imaging simulation through complex systems: a coronagraphic example. In Optical Modeling and Performance Predictions XI (Vol. 11484, p. 1148405). International Society for Optics and Photonics.en_US
dc.identifier.issn0277-786X
dc.identifier.doi10.1117/12.2568204
dc.identifier.urihttp://hdl.handle.net/10150/658138
dc.description.abstractEnd-to-end simulation of the influence of the optical train on the observed scene is important across optics and is particularly important for predicting the science yield of astronomical telescopes. As a consequence of their goal of suppressing starlight, coronagraphic instruments for high-contrast imaging have particularly complex field-dependent point-spread-functions (PSFs). The Roman Coronagraph Instrument (CGI), Hybrid Lyot Coronagraph (HLC) is one example. The purpose of the HLC is to image exoplanets and exozodiacal dust in order to understand dynamics of solar systems. This paper details how images of exoplanets and exozodiacal dust are simulated using some of the most recent PSFs generated for the CGI HLC imaging mode. First, PSFs are generated using physical optics propagation techniques. Then, the angular offset of pixels in image scenes, such as exozodiacal dust models, are used to create a library of interpolated PSFs using interpolation and rotation techniques, such that the interpolated PSFs correspond to angular offsets of the pixels. This means interpolation needs only be done once and an image can then be simulated by multiplying the vector array of the model astrophysical scene by the matrix array of the interpolated PSF data. This substantially reduces the time required to generate image simulations by reducing the process to matrix multiplication, allowing for faster scene analysis. We will detail the steps required to generate coronagraphic scenes, quantify the speed-up of our matrix approach versus other implementations, and provide example code for users who wish to simulate their own scenes using publicly available HLC PSFs.en_US
dc.language.isoenen_US
dc.publisherSPIE-INT SOC OPTICAL ENGINEERINGen_US
dc.rights© 2020 SPIE.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.sourceOptical Modeling and Performance Predictions XI
dc.titleFaster imaging simulation through complex systems: a coronagraphic exampleen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, James C Wyant Coll Opt Scien_US
dc.contributor.departmentUniv Arizona, Steward Observen_US
dc.identifier.journalOPTICAL MODELING AND PERFORMANCE PREDICTIONS XIen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
refterms.dateFOA2021-05-04T21:46:17Z


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