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Key Technologies for the Wide Field Infrared Survey Telescope Coronagraph Instrument

Bailey, Vanessa P. and Armus, Lee and Balasubramanian, Bala and Berriman, Bruce and Cady, Eric and Calchi Novati, Sebastiano and Ciardi, David and Crill, Brendan and Demers, Richard and Effinger, Robert and Frerking, Margaret and Gelino, Dawn and Harding, Leon and Helou, George and Kern, Brian and Krist, John and Laine, Seppo and Lindensmith, Chris and Lowrance, Patrick and Prada, Camilo Mejia and Mennesson, Bertrand and Meshkat, Tiffany and Moody, Dwight and Morrissey, Patrick and Moustakas, Leonidas and Noecker, Charley and Paladini, Roberta and Poberezhskiy, Ilya and Ramírez, Solange and Rhodes, Jason and Riggs, A. J. E. and Seo, Byoung-Joon and Shaklan, Stuart and Shi, Fang and Stapelfeldt, Karl and Tang, Hong and Trauger, John and Ygouf, Marie and Zhao, Feng and Zhou, Hanying (2019) Key Technologies for the Wide Field Infrared Survey Telescope Coronagraph Instrument. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20190626-141746696

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Abstract

The Wide Field Infrared Survey Telescope (WFIRST) Coronagraph Instrument (CGI) is a high-contrast imager and integral field spectrograph that will enable the study of exoplanets and circumstellar disks at visible wavelengths. Ground-based high-contrast instrumentation has fundamentally limited performance at small working angles, even under optimistic assumptions for 30m-class telescopes. There is a strong scientific driver for better performance, particularly at visible wavelengths. Future flagship mission concepts aim to image Earth analogues with visible light flux ratios of more than 10^10. CGI is a critical intermediate step toward that goal, with a predicted 10^8-9 flux ratio capability in the visible. CGI achieves this through improvements over current ground and space systems in several areas: (i) Hardware: space-qualified (TRL9) deformable mirrors, detectors, and coronagraphs, (ii) Algorithms: wavefront sensing and control; post-processing of integral field spectrograph, polarimetric, and extended object data, and (iii) Validation of telescope and instrument models at high accuracy and precision. This white paper, submitted to the 2018 NAS Exoplanet Science Strategy call, describes the status of key CGI technologies and presents ways in which performance is likely to evolve as the CGI design matures.


Item Type:Report or Paper (White Paper)
Related URLs:
URLURL TypeDescription
https://arxiv.org/abs/1901.04050arXivDiscussion Paper
ORCID:
AuthorORCID
Bailey, Vanessa P.0000-0002-5407-2806
Armus, Lee0000-0003-3498-2973
Berriman, Bruce0000-0001-8388-534X
Cady, Eric0000-0002-8789-2931
Calchi Novati, Sebastiano0000-0002-7669-1069
Ciardi, David0000-0002-5741-3047
Crill, Brendan0000-0002-4650-8518
Gelino, Dawn0000-0003-1274-2784
Helou, George0000-0003-3367-3415
Laine, Seppo0000-0003-1250-8314
Lowrance, Patrick0000-0001-8014-0270
Mennesson, Bertrand0000-0003-4205-4800
Meshkat, Tiffany0000-0001-6126-2467
Morrissey, Patrick0000-0001-8177-1023
Moustakas, Leonidas0000-0003-3030-2360
Noecker, Charley0000-0003-1417-2383
Paladini, Roberta0000-0002-5158-243X
Rhodes, Jason0000-0002-4485-8549
Riggs, A. J. E.0000-0002-0863-6228
Stapelfeldt, Karl0000-0002-2805-7338
Ygouf, Marie0000-0001-7591-2731
Additional Information:© 2018 California Institute of Technology. Government sponsorship acknowledged. The work was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The decision to implement the WFIRST mission will not be finalized until NASA's completion of the National Environmental Policy Act (NEPA) process. This document is being made available for information purposes only. This whitepaper was submitted to the Exoplanet Science Strategy call in March 2018 and is presented here without modification. An updated version of Fig. 2 and associated detailed description can be found in ref (21).
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
Record Number:CaltechAUTHORS:20190626-141746696
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190626-141746696
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96746
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:27 Jun 2019 01:57
Last Modified:09 Mar 2020 13:19

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