Abstract

We present an analysis of the curvature sensing method and the associated wave-front reconstruction problem for adaptive optics applications. The analysis includes characterizations of the nonlinear, diffraction, and noise effects for curvature sensing. Reconstruction properties are shown to be characterized in terms of the eigenvalues of a discretized Laplacian operator. A comparison of reconstruction performance for curvature and slope sensing is presented. Simulations based on the Keck telescope optical prescription are used to verify the analysis.

© 1996 Optical Society of America

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