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Extreme adaptive optics planet imager: XAOPI

Macintosh, Bruce and Graham, James and Poyneer, Lisa and Sommargren, Gary and Wilhelmsen, Julia and Gavel, Don and Jones, Steve and Kalas, Paul and Lloyd, James and Makidon, Russ and Olivier, Scot and Palmer, Dave and Patience, Jennifer and Perrin, Marshall and Severson, Scott and Sheinis, Andrew and Sivaramakrishnan, Anand and Troy, Mitchell and Wallace, Kent (2003) Extreme adaptive optics planet imager: XAOPI. In: Techniques and Instrumentation for Detection of Exoplanets. Proceedings of SPIE. No.5170. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, pp. 272-282. ISBN 9780819450432. https://resolver.caltech.edu/CaltechAUTHORS:20190221-110521847

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Abstract

Ground based adaptive optics is a potentially powerful technique for direct imaging detection of extrasolar planets. Turbulence in the Earth's atmosphere imposes some fundamental limits, but the large size of ground-based telescopes compared to spacecraft can work to mitigate this. We are carrying out a design study for a dedicated ultra-high-contrast system, the eXtreme Adaptive Optics Planet Imager (XAOPI), which could be deployed on an 8-10m telescope in 2007. With a 4096-actuator MEMS deformable mirror it should achieve Strehl >0.9 in the near-IR. Using an innovative spatially filtered wavefront sensor, the system will be optimized to control scattered light over a large radius and suppress artifacts caused by static errors. We predict that it will achieve contrast levels of 10^7-10^8 at angular separations of 0.2-0.8" around a large sample of stars (R<7-10), sufficient to detect Jupiter-like planets through their near-IR emission over a wide range of ages and masses. We are constructing a high-contrast AO testbed to verify key concepts of our system, and present preliminary results here, showing an RMS wavefront error of <1.3 nm with a flat mirror.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.506836DOIArticle
ORCID:
AuthorORCID
Macintosh, Bruce0000-0003-1212-7538
Kalas, Paul0000-0002-6221-5360
Perrin, Marshall0000-0002-3191-8151
Additional Information:© 2003 Society of Photo-Optical Instrumentation Engineers (SPIE). This research was performed under the auspices of the U.S. Department of Energy by the University of California, Lawrence Livermore National Laboratory under Contract W-7405-ENG-48, and also supported in part by the National Science Foundation Science and Technology Center for Adaptive Optics, managed by the University of California at Santa Cruz under cooperative agreement No. AST–9876783. Support for this work was also provided by a grant from the Gordon and Betty Moore Foundation to the Regents of the University of California, Santa Cruz, on behalf of the Laboratory for Adaptive Optics. The content of the information does not necessarily reflect the position or the policy of the Gordon and Betty Moore Foundation, and no official endorsement should be inferred.
Funders:
Funding AgencyGrant Number
Department of Energy (DOE)W-7405-ENG-48
NSFAST-9876783
Gordon and Betty Moore FoundationUNSPECIFIED
Subject Keywords:Adaptive optics; extrasolar planets; MOEMS
Series Name:Proceedings of SPIE
Issue or Number:5170
DOI:10.1117/12.506836
Record Number:CaltechAUTHORS:20190221-110521847
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190221-110521847
Official Citation:Bruce A. Macintosh, James Graham, Lisa Poyneer, Gary Sommargren, Julia Wilhelmsen, Don Gavel, Steve Jones, Paul Kalas, James P. Lloyd, Russ Makidon, Scot Olivier, Dave Palmer, Jennifer Patience, Marshall Perrin, Scott Severson, Andrew Sheinis, Anand Sivaramakrishnan, Mitch Troy, and J. Kent Wallace "Extreme adaptive optics planet imager: XAOPI", Proc. SPIE 5170, Techniques and Instrumentation for Detection of Exoplanets, (19 November 2003); doi: 10.1117/12.506836; https://doi.org/10.1117/12.506836
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93091
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:28 Feb 2019 23:36
Last Modified:16 Nov 2021 16:55

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