Static and predictive tomographic reconstruction for wide-field multi-object adaptive optics systems

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DOIResolve DOI: http://doi.org/10.1364/JOSAA.31.000101
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TypeArticle
Journal titleJournal of the Optical Society of America A: Optics and Image Science, and Vision
ISSN1084-7529
Volume31
Issue1
Pages101113; # of pages: 13
SubjectAdaptive optics systems; Auto regressive models; End-to-end simulation; On-line calibration; Temporal prediction; Temporal structures; Tomographic reconstruction; Wave-front sensing; Algorithms; Calibration; Optical phase conjugation; Signal to noise ratio; Stars; Tomography
AbstractMulti-object adaptive optics (MOAO) systems are still in their infancy: their complex optical designs for tomographic, wide-field wavefront sensing, coupled with open-loop (OL) correction, make their calibration a challenge. The correction of a discrete number of specific directions in the field allows for streamlined application of a general class of spatio-angular algorithms, initially proposed in Whiteley et al. [J. Opt. Soc. Am. A 15, 2097 (1998)], which is compatible with partial on-line calibration. The recent Learn and Apply algorithm from Vidal et al. [J. Opt. Soc. Am. A 27, A253 (2010)] can then be reinterpreted in a broader framework of tomographic algorithms and is shown to be a special case that exploits the particulars of OL and aperture-plane phase conjugation. An extension to embed a temporal prediction step to tackle sky-coverage limitations is discussed. The trade-off between lengthening the camera integration period, therefore increasing system lag error, and the resulting improvement in SNR can be shifted to higher guide-star magnitudes by introducing temporal prediction. The derivation of the optimal predictor and a comparison to suboptimal autoregressive models is provided using temporal structure functions. It is shown using end-to-end simulations of Raven, the MOAO science, and technology demonstrator for the 8 m Subaru telescope that prediction allows by itself the use of 1-magnitude-fainter guide stars. © 2013 Optical Society of America.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Herzberg Institute of Astrophysics (HIA-IHA)
Peer reviewedYes
NPARC number21272180
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Record identifier267800ca-3756-4946-afbf-73f8b6a55d50
Record created2014-07-23
Record modified2016-05-09
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