2016
DOI: 10.1117/1.jatis.2.1.011020
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Science yield estimate with the Wide-Field Infrared Survey Telescope coronagraph

Abstract: Abstract. The coronagraph instrument (CGI) on the Wide-Field Infrared Survey Telescope will directly image and spectrally characterize planets and circumstellar disks around nearby stars. Here we estimate the expected science yield of the CGI for known radial-velocity (RV) planets and potential circumstellar disks. The science return is estimated for three types of coronagraphs: the hybrid Lyot and shaped pupil are the currently planned designs, and the phase-induced amplitude apodizing complex mask coronagrap… Show more

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Cited by 24 publications
(26 citation statements)
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“…In the next decade, NASA's Wide Field Infrared Survey Telescope (WFIRST), equipped with an optical (0.4-0.95 μm) Coronagraphic Instrument (CGI), will obtain photometry and spectra for extrasolar planets with contrasts as low as 10 −10 and angular separations between 0 1 and 0 5 (Traub et al 2016). The WFIRST CGI prime survey will target a number of planets detected via radial velocity both photometrically (0.4-0.95 μm) and spectroscopically (0.6-0.95 μm).…”
Section: Implications For Jwst and Wfirstmentioning
confidence: 99%
“…In the next decade, NASA's Wide Field Infrared Survey Telescope (WFIRST), equipped with an optical (0.4-0.95 μm) Coronagraphic Instrument (CGI), will obtain photometry and spectra for extrasolar planets with contrasts as low as 10 −10 and angular separations between 0 1 and 0 5 (Traub et al 2016). The WFIRST CGI prime survey will target a number of planets detected via radial velocity both photometrically (0.4-0.95 μm) and spectroscopically (0.6-0.95 μm).…”
Section: Implications For Jwst and Wfirstmentioning
confidence: 99%
“…Much work has gone into estimating the yield of the imaging portion of the mission. Greco & Burrows (2015) performed Monte Carlo simulations to quantify the detectability of giant planets under various conditions in the context of WFIRST, (see also Savransky & Garrett 2016;Traub et al 2016;Garrett et al 2017). Many quantitative predictions of yields in these studies depend upon assumptions of instrument performance and extrapolations of underlying exoplanet populations into regimes for which we do not yet have sufficient data.…”
Section: Introductionmentioning
confidence: 99%
“…From the current AFTA CGI science yield estimates, 24 it is evident that the brightest 15 of these RV exoplanets can all be detected with a total integration time of 3 days. We anticipate that there are yet unseen exoplanet systems that will be revealed in ongoing RV searches from the ground and in discovery-mode observations with the AFTA coronagraph.…”
Section: Hybrid Lyot Coronagraph Science Performancementioning
confidence: 99%