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    A review of simulation and performance modeling for the Roman coronagraph instrument

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    1144338.pdf
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    Author
    Douglas, Ewan S.
    Ashcraft, Jaren N.
    Belikov, Ruslan
    Debes, John
    Kasdin, Jeremy
    Krist, John
    Lacy, Brianna
    Nemati, Bijan
    Milani, Kian
    Pogorelyuk, Leonid
    Riggs, Al J. Eldorado
    Savransky, Dmitry
    Sirbu, Dan
    Show allShow less
    Affiliation
    Steward Observatory, University of Arizona
    Issue Date
    2020-12-16
    Keywords
    Coronagraph
    Debris disks
    diffraction
    Exoplanets
    Instrument yield
    Modeling
    Roman
    Simulations
    WFIRST
    
    Metadata
    Show full item record
    Publisher
    SPIE
    Citation
    Douglas, E. S., Ashcraft, J. N., Belikov, R., Debes, J., Kasdin, J., Krist, J., ... & Sirbu, D. (2020, December). A review of simulation and performance modeling tools for the Roman coronagraph instrument. In Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave (Vol. 11443, p. 1144338). International Society for Optics and Photonics.
    Journal
    Proceedings of SPIE - The International Society for Optical Engineering
    Rights
    © 2020 SPIE.
    Collection Information
    This 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.
    Abstract
    The Nancy Grace Roman Space Telescope Coronagraph Instrument (CGI) will be capable of characterizing exoplanets in reflected light and will demonstrate space technologies essential for future missions to take spectra of Earthlike exoplanets. As the mission and instrument move into the final stages of design, simulation tools spanning from depth of search calculators to detailed diffraction models have been created by a variety of teams. We summarize these efforts, with a particular focus on publicly available datasets and software tools. These include speckle and point-spread-function models, signal-to-noise calculators, and science product simulations (e.g. predicted observations of debris disks and exoplanet spectra). This review is intended to serve as a reference to facilitate engagement with the technical and science capabilities of the CGI instrument.
    ISSN
    0277-786X
    DOI
    10.1117/12.2561960
    Version
    Final published version
    ae974a485f413a2113503eed53cd6c53
    10.1117/12.2561960
    Scopus Count
    Collections
    UA Faculty Publications

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