Detecting higher-order wavefront errors with an astigmatic hybrid wavefront sensor.
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.
Barwick
Shane
S
Rocky Mound Engineering, 116 White Pine Court, Macon, Georgia 31216, USA. dsbarwick@cox.net