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Point spread function reconstruction simulations for laser guide star multi-conjugate adaptive optics on extremely large telescopes

Gilles, L. and Wang, L. and Boyer, C. (2018) Point spread function reconstruction simulations for laser guide star multi-conjugate adaptive optics on extremely large telescopes. In: Adaptive Optics Systems VI. Proceedings of SPIE. No.10703. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, Art. No. 1070349. ISBN 9781510619593. http://resolver.caltech.edu/CaltechAUTHORS:20190109-142141096

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Abstract

This paper discusses point spread function reconstruction (PSFR) simulations for laser guide star (LGS) multi-conjugate adaptive optics (MCAO) on extremely large telescopes (ELTs). The Multithreaded Adaptive Optics Simulator (MAOS), configured to simulate the Thirty Meter Telescope (TMT) Narrow Field InfraRed Adaptive Optics System (NFIRAOS), provided simulated telemetry. For median Mauna Kea turbulence conditions (0.55arcsec seeing) and for the expected NFRIAOS laser guide star (LGS) wavefront sensor (WFS) measurement noise, the actuator error based PSFR algorithm leads to Strehl Ratio (SR), enclosed energy (EE) and PSF profile errors below 8% in Z-band, 5% in J-band and 2% in Kband assuming perfect knowledge of the turbulence and wind profiles and of measurement noise. Further algorithm optimization could in principle reduce this residual error level.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.2315793DOIArticle
Additional Information:© 2018 Society of Photo-optical Instrumentation Engineers (SPIE). The authors gratefully acknowledge 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 of ChinaUNSPECIFIED
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:Laser guide star multi-conjugate adaptive optics (LGS MCAO), point spread function reconstruction (PSFR)
Record Number:CaltechAUTHORS:20190109-142141096
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190109-142141096
Official Citation:L. Gilles, L. Wang, C. Boyer, "Point spread function reconstruction simulations for laser guide star multi-conjugate adaptive optics on extremely large telescopes," Proc. SPIE 10703, Adaptive Optics Systems VI, 1070349 (18 July 2018); doi: 10.1117/12.2315793
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92179
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:09 Jan 2019 22:30
Last Modified:09 Jan 2019 22:30

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