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  4. Simulating the effects of exozodiacal dust in WFIRST CGI observations

Simulating the effects of exozodiacal dust in WFIRST CGI observations

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sword-2021-04-08T16:43:00.original.xml (130 B)
Original SWORD entry document
Author(s)
Douglas, Ewan S.
•
Debes, John
•
Milani, Kian
•
Xin, Yinzi
•
Cahoy, Kerri
•
Lewis, Nikole K.
•
Macintosh, Bruce
Date Issued
September 9, 2019
Journal
Proceedings of SPIE - The International Society for Optical Engineering
Publisher
SPIE
Citation
Douglas, Ewan S., Debes, John, Milani, Kian, Xin, Yinzi, Cahoy, Kerri L. et al. 2019. "Simulating the effects of exozodiacal dust in WFIRST CGI observations." Proceedings of SPIE - The International Society for Optical Engineering, 11117.
Version
Final published version
Abstract
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. The WFIRST Coronagraph Instrument (CGI) will image the environment close to stars at orders of magnitude higher sensitivity than current observatories. In addition to directly imaging giant exoplanets, WFIRST CGI has unprecedented sensitivity to scattered light from circumstellar dust. Most modeling has been confined to the dark-hole regime of the coronagraph (approximately 0.15 arcsec to 1 arcsec). This work uses publicly available field-dependent point spread functions to model an exozodiacal disk within the 0.15 arcsec inner working angle. For this simple Solar System-like test case, we find an approximately 25% increase in the transmitted exozodiacal flux due to light inside the inner working angle. We also describe plans to accelerate and extend this modeling to a wider range of geometries, and to quantify the impact on post-processing and source detection.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
https://hdl.handle.net/1721.1/136979.2
DOI of Published Version
https://doi.org/10.1117/12.2529488
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