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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 30, Iss. 8 — Aug. 1, 2013
  • pp: 1680–1686

Kaczmarz algorithm for multiconjugated adaptive optics with laser guide stars

Matthias Rosensteiner and Ronny Ramlau  »View Author Affiliations


JOSA A, Vol. 30, Issue 8, pp. 1680-1686 (2013)
http://dx.doi.org/10.1364/JOSAA.30.001680


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Abstract

We recently introduced the Kaczmarz algorithm for solving the atmospheric tomography problem in multiconjugate adaptive optics (MCAO). This iterative method solves the problem significantly faster than the standard matrix vector multiplication. We present the algorithm as well as an extension, which includes the effects of laser guide stars, such as the cone effect, tip/tilt indetermination, and spot elongation. We show that we can successfully cope with these effects and that the algorithm is suited for an MCAO system for the future generation of extremely large telescopes.

© 2013 Optical Society of America

OCIS Codes
(000.3860) General : Mathematical methods in physics
(010.7350) Atmospheric and oceanic optics : Wave-front sensing
(350.1260) Other areas of optics : Astronomical optics
(110.1080) Imaging systems : Active or adaptive optics

ToC Category:
Imaging Systems

History
Original Manuscript: May 8, 2013
Revised Manuscript: June 20, 2013
Manuscript Accepted: June 21, 2013
Published: July 24, 2013

Citation
Matthias Rosensteiner and Ronny Ramlau, "Kaczmarz algorithm for multiconjugated adaptive optics with laser guide stars," J. Opt. Soc. Am. A 30, 1680-1686 (2013)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-30-8-1680

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