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Gram–Charlier matched filter for Shack–Hartmann sensing at low light levels

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Abstract

A study has been made of a Gram–Charlier matched filter for Shack–Hartmann sensing of wavefront slopes. The method is based on modeling the point-spread function by an expansion in terms of Gauss–Hermite polynomials. We present results for several subaperture/coherence area sizes both with and without CCD read noise. A more accurate estimation of the local slopes can be achieved at low light levels in this way than with the standard first-moment estimator.

© 1998 Optical Society of America

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