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Proceedings Paper

Wavefront reconstruction by machine learning using the delta rule
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Paper Abstract

In this paper we use phase screen models to illustrate the power of the delta rule, by obtaining the optimum reconstructor for a Shack-Hartmann sensor with just 6 subapertures in the form of pie segments. The dependence of the matrix elements and residual error on measurement noise is determined, and the accuracy compared with theoretical limits. Reconstructors for more complex problems involving time dependence and multiple laser spots are ideal applications for the method.

Paper Details

Date Published: 31 May 1994
PDF: 7 pages
Proc. SPIE 2201, Adaptive Optics in Astronomy, (31 May 1994); doi: 10.1117/12.176098
Show Author Affiliations
James Roger P. Angel, Univ. of Arizona Steward Observatory (United States)


Published in SPIE Proceedings Vol. 2201:
Adaptive Optics in Astronomy
Mark A. Ealey; Fritz Merkle, Editor(s)

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