Computer Science – Performance
Scientific paper
Sep 1998
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998spie.3353..918k&link_type=abstract
Proc. SPIE Vol. 3353, p. 918-929, Adaptive Optical System Technologies, Domenico Bonaccini; Robert K. Tyson; Eds.
Computer Science
Performance
1
Scientific paper
We describe and evaluate the performance of a wavefront sensor based on curvature sensing which can be used to detect static aberrations given an extended reference source. The description includes a full mathematical treatment of the sensor signal, as well as how this signal is relate to the Laplacian of the wavefront. Evaluation of the technique is performed with computer simulations. A Monte-Carlo simulation is utilized to evaluate the performance of the technique in the presence of noise. The sensor was found to provide accurate measurement of the wavefront coefficients on high-contrast extended objects. It behaves well in the presence of a field stop, and in the presence of additive Gaussian noise.
Kupke Renate
Mickey Donald L.
Roddier Francois J.
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