1. Pyramid and Hartmann–Shack wavefront sensor with artificial neural network for adaptive optics
- Author
-
Josef F. Bille, F Shao, and C. Alvarez Diez
- Subjects
Root mean square ,Wavefront ,Optics ,Artificial neural network ,business.industry ,Computer science ,Wavefront sensor ,Pyramid (image processing) ,Prism ,business ,Adaptive optics ,Atomic and Molecular Physics, and Optics ,Optical aberration - Abstract
A three-sided pyramid prism is used as a wavefront sensor in non-modulating mode with an artificial neural network (NN) as a control unit in an adaptive optical setup. The NN is composed of a convolution network for feature extraction from the pyramid signal and a three-layer feed-forward back-propagation net. The network is trained with over 15,000 examples of signal–wavefront pairs. Presenting wavefronts of 6 mm pupil diameter and a RMS error of under 200 nm to the adaptive optical system with the trained network, it can correct the aberrations within three loops to a wavefront with
- Published
- 2008
- Full Text
- View/download PDF