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dc.contributor.authorMales, Jared R.*
dc.contributor.authorGuyon, Olivier*
dc.date.accessioned2018-05-16T15:50:21Z
dc.date.available2018-05-16T15:50:21Z
dc.date.issued2018-01
dc.identifier.citationJared R. Males, Olivier Guyon, "Ground-based adaptive optics coronagraphic performance under closed-loop predictive control," Journal of Astronomical Telescopes, Instruments, and Systems 4(1), 019001 (6 February 2018). https://doi.org/10.1117/1.JATIS.4.1.019001 Submission: Received 1 June 2017; Accepted 21 December 2017en_US
dc.identifier.issn2329-4124
dc.identifier.doi10.1117/1.JATIS.4.1.019001
dc.identifier.urihttp://hdl.handle.net/10150/627632
dc.description.abstractThe discovery of the exoplanet Proxima b highlights the potential for the coming generation of giant segmented mirror telescopes (GSMTs) to characterize terrestrial-potentially habitable-planets orbiting nearby stars with direct imaging. This will require continued development and implementation of optimized adaptive optics systems feeding coronagraphs on the GSMTs. Such development should proceed with an understanding of the fundamental limits imposed by atmospheric turbulence. Here, we seek to address this question with a semianalytic framework for calculating the postcoronagraph contrast in a closed-loop adaptive optics system. We do this starting with the temporal power spectra of the Fourier basis calculated assuming frozen flow turbulence, and then apply closed-loop transfer functions. We include the benefits of a simple predictive controller, which we show could provide over a factor of 1400 gain in raw point spread function contrast at 1 lambda/D on bright stars, and more than a factor of 30 gain on an I = 7.5 mag star such as Proxima. More sophisticated predictive control can be expected to improve this even further. Assuming a photon-noise limited observing technique such as high-dispersion coronagraphy, these gains in raw contrast will decrease integration times by the same large factors. Predictive control of atmospheric turbulence should therefore be seen as one of the key technologies that will enable ground-based telescopes to characterize terrestrial planets. (c) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.en_US
dc.description.sponsorshipCalifornia Institute of Technology (Caltech)/Jet Propulsion Laboratory (JPL) - NASA through the Sagan Fellowship Program; NSF [1506818, 1625441]en_US
dc.language.isoenen_US
dc.publisherSPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERSen_US
dc.relation.urlhttps://www.spiedigitallibrary.org/journals/Journal-of-Astronomical-Telescopes-Instruments-and-Systems/volume-4/issue-01/019001/Ground-based-adaptive-optics-coronagraphic-performance-under-closed-loop-predictive/10.1117/1.JATIS.4.1.019001.fullen_US
dc.rights© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.en_US
dc.subjectcoronagraphen_US
dc.subjectadaptive opticsen_US
dc.subjectexoplanetsen_US
dc.subjecthigh-contrast imagingen_US
dc.titleGround-based adaptive optics coronagraphic performance under closed-loop predictive controlen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Tucson Steward Observ, Tucson, AZ 85721en_US
dc.contributor.departmentUniv Arizona, Coll Opt Sci, Tucson, AZ USAen_US
dc.identifier.journalJOURNAL OF ASTRONOMICAL TELESCOPES INSTRUMENTS AND SYSTEMSen_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
dc.source.journaltitleJournal of Astronomical Telescopes, Instruments, and Systems
dc.source.volume4
dc.source.issue01
dc.source.beginpage1
refterms.dateFOA2018-05-16T15:50:22Z


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