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Thirty Meter Telescope astrometry error budget

Schöck, Matthias and Do, Tuan and Ellerbroek, Brent and Gilles, Luc and Herriot, Glen and Meyer, Leo and Suzuki, Ryuji and Wang, Lianqi and Yelda, Sylvana (2014) Thirty Meter Telescope astrometry error budget. In: Adaptive Optics Systems IV. Proceedings of SPIE. No.9148. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, Art. No. 91482L. ISBN 9780819496164. http://resolver.caltech.edu/CaltechAUTHORS:20180619-160226257

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Abstract

The Thirty Meter Telescope (TMT) with its first-light multi-conjugate adaptive optics system, NFIRAOS, and high-resolution imager, IRIS, is expected to take differential astrometric measurements with an accuracy on the order of tens of micro arcsec. This requires the control, correction, characterization and calibration of a large number of error sources and uncertainties, many of which have magnitudes much in excess of this level of accuracy. In addition to designing the observatory such that very high precision and accuracy astrometric observations are enabled, satisfying the TMT requirements can only be achieved by a careful calibration, observation and data reduction strategy. In this paper, we present descriptions of the individual errors sources, how and when they apply to different astrometry science cases and the mitigation methods required for each of them, as well as example results for individual error terms and the overall error budgets for a variety of different science cases.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.2057089DOIArticle
Additional Information:© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE). The TMT Project gratefully acknowledges the support of the TMT collaborating institutions. They are the Association of Canadian Universities for Research in Astronomy (ACURA), the California Institute of Technology, the University of California, the National Astronomical Observatory of Japan, the National Astronomical Observatories of China and their consortium partners, and the Department of Science and Technology of India and their supported institutes. This work was supported as well by the Gordon and Betty Moore Foundation, the Canada Foundation for Innovation, the Ontario Ministry of Research and Innovation, the National Research Council of Canada, the Natural Sciences and Engineering Research Council of Canada, the British Columbia Knowledge Development Fund, the Association of Universities for Research in Astronomy (AURA), the U.S. National Science Foundation and the National Institutes of Natural Sciences of Japan.
Group:Thirty Meter Telescope
Funders:
Funding AgencyGrant Number
Association of Canadian Universities for Research in Astronomy (ACURA)UNSPECIFIED
CaltechUNSPECIFIED
University of CaliforniaUNSPECIFIED
National Astronomical Observatory of JapanUNSPECIFIED
National Astronomical Observatories, Chinese Academy of Sciences (NAOC)UNSPECIFIED
Department of Science and Technology (India)UNSPECIFIED
Gordon and Betty Moore FoundationUNSPECIFIED
Canada Foundation for InnovationUNSPECIFIED
Ontario Ministry of Research and InnovationUNSPECIFIED
National Research Council of CanadaUNSPECIFIED
Natural Sciences and Engineering Research Council of Canada (NSERC)UNSPECIFIED
British Columbia Knowledge Development FundUNSPECIFIED
Association of Universities for Research in Astronomy (AURA)UNSPECIFIED
NSFUNSPECIFIED
National Institutes of Natural Sciences of JapanUNSPECIFIED
Subject Keywords:Astrometry, adaptive optics, extremely large telescopes, Thirty Meter Telescope
Record Number:CaltechAUTHORS:20180619-160226257
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180619-160226257
Official Citation:Matthias Schöck, Tuan Do, Brent L. Ellerbroek, Luc Gilles, Glen Herriot, Leo Meyer, Ryuji Suzuki, Lianqi Wang, Sylvana Yelda, "Thirty Meter Telescope astrometry error budget", Proc. SPIE 9148, Adaptive Optics Systems IV, 91482L (21 July 2014); doi: 10.1117/12.2057089; https://doi.org/10.1117/12.2057089
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:87244
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:19 Jun 2018 23:19
Last Modified:19 Jun 2018 23:19

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