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Proceedings Paper

Temporal convergence of phase spatial covariance matrix measurements in tomographic adaptive optics
Author(s): Olivier Martin; Éric Gendron; Gérard Rousset; Fabrice Vidal
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Paper Abstract

The identification of spatial covariance matrices is required in adaptive optics in order to perform tomographic reconstruction with optimal estimators. We use on-sky measurements from Canary, the on-sky demonstrator of MOAO for EAGLE, to study the statistical convergence of the spatial covariance of Shack-Hartmann measurements. We describe a new, faster, analytical approximated model for this spatial covariance, and finally bring into light a new procedure for model identification, reducing the tomographic error. We quantify the gain brought by the new approach on both numerical simulations and on-sky data.

Paper Details

Date Published: 13 September 2012
PDF: 14 pages
Proc. SPIE 8447, Adaptive Optics Systems III, 84472A (13 September 2012); doi: 10.1117/12.924845
Show Author Affiliations
Olivier Martin, LESIA, Observatoire de Paris, CNRS, Univ. Paris-Diderot (France)
Éric Gendron, LESIA, Observatoire de Paris, CNRS, Univ. Paris-Diderot (France)
Gérard Rousset, LESIA, Observatoire de Paris, CNRS, Univ. Paris-Diderot (France)
Fabrice Vidal, LESIA, Observatoire de Paris, CNRS, Univ. Paris-Diderot (France)


Published in SPIE Proceedings Vol. 8447:
Adaptive Optics Systems III
Brent L. Ellerbroek; Enrico Marchetti; Jean-Pierre Véran, Editor(s)

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