Hartmann wavefront sensing with an artificial neural network processor

Eli Ettedgui-Atad; G. Catalan; John W. Harris; Colin M. Humphries; A. M. Smillie; Alistair E. Armitage; G. S. Hanspal; R. J. McKeating

doi:10.1117/12.176082

31 May 1994 Hartmann wavefront sensing with an artificial neural network processor

Eli Ettedgui-Atad, G. Catalan, John W. Harris, Colin M. Humphries, A. M. Smillie, Alistair E. Armitage, G. S. Hanspal, R. J. McKeating

Author Affiliations +

Proceedings Volume 2201, Adaptive Optics in Astronomy; (1994) https://doi.org/10.1117/12.176082
Event: 1994 Symposium on Astronomical Telescopes and Instrumentation for the 21st Century, 1994, Kailua, Kona, HI, United States

Abstract

An artificial neural network has been developed for wavefront reconstruction by processing the centroid displacements of the subaperture images of a 4 X 4 Hartmann sensor. Training was accomplished by computing the first differentials of random but known mixes of aberration polynomials, presenting these at the network input and adjusting the interconnection weights to minimize the Zernike coefficient output errors. After training, the residual rms wavefront errors for noise-free systems were typically within 2%. Similar results were obtained with a 5 X 5 system. As simulated noise was added, the errors increased slowly but were similar in magnitude to those obtained analytically provided that the network had sufficient complexity. At very low SNR values the neural network outperformed the analytic method provided that it had been trained for the same noise level.

Citation Download Citation

Eli Ettedgui-Atad, G. Catalan, John W. Harris, Colin M. Humphries, A. M. Smillie, Alistair E. Armitage, G. S. Hanspal, and R. J. McKeating "Hartmann wavefront sensing with an artificial neural network processor", Proc. SPIE 2201, Adaptive Optics in Astronomy, (31 May 1994); https://doi.org/10.1117/12.176082

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available