The reconstruction of wavefront errors from measurements over subapertures can be made more accurate if a fully characterized quadratic surface can be fitted to the local wavefront surface. An astigmatic hybrid wavefront sensor with added neural network postprocessing is shown to have this capability, provided that the focal image of each subaperture is sufficiently sampled. Furthermore, complete local curvature information is obtained with a single image without splitting beam power.
© 2009 Optical Society of America
Original Manuscript: March 10, 2009
Revised Manuscript: April 16, 2009
Manuscript Accepted: April 23, 2009
Published: May 28, 2009
Shane Barwick, "Detecting higher-order wavefront errors with an astigmatic hybrid wavefront sensor," Opt. Lett. 34, 1690-1692 (2009)