Co-phasing of the segmented mirror based on the generalized phase diversity wavefront sensor

摘要

The stochastic parallel gradient descent algorithm based on the generalized phase diversity wavefront sensor is presentedfor co-phasing of segmented mirrors. Cost functions of the optimization algorithm were built up in different circularzones for intensity images of the sensor. In order to achieve high accuracy for co-phasing, four phase diversity functionswith increasing amplitudes were applied to the sensor for improving the strength of output signal from the wavefrontsensor during the aberrations of the segmented mirror decreasing with the co-phasing process. A simulated segmentedmirror was used to test the feasibility of this method. The numerical experiments show that the co-phasing accuracy isvery high for the aberrations of the segmented mirrors less than 1.5 wavelengths. And the algorithm is very robust andnoise tolerant.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.