Neural network prediction of turbulence-induced wavefront degradations with applications to adaptive optics

Details Neural network prediction of turbulence-induced wavefront degradations with applications to adaptive optics Neural network prediction of turbulence-induced wavefront degradations with applications to adaptive optics

Aug 1992

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992spie.1706..113j&link_type=abstract

Proc. SPIE Vol. 1706, p. 113-121, Adaptive and Learning Systems, Firooz A. Sadjadi; Ed.

Computer Science

Learning

1

Scientific paper

Time delays inherent in the control systems of current and proposed adaptive optics systems could be eliminated by predicting atmospherically-distorted wavefronts a short time ahead. An error-backpropagation neural network trained on real astronomical data has demonstrated that time series of wavefront tips and tilts (slopes) in the visible, and piston (displacement) in the infrared, are predictable to a degree which would improve the operation of an adaptive optics telescope.

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