Novel all-hardware closed-loop adaptive optics system using massively-parallel neural processing

M. Eichhorn; A. Pichler; P. Raymond

doi:10.1117/12.877220

15 February 2011 Novel all-hardware closed-loop adaptive optics system using massively-parallel neural processing

M. Eichhorn, A. Pichler, P. Raymond

Proceedings Volume 7912, Solid State Lasers XX: Technology and Devices; 791217 (2011) https://doi.org/10.1117/12.877220
Event: SPIE LASE, 2011, San Francisco, California, United States

Abstract

In most applications of laser technology and optics the beam quality, the ability to focus a laser beam and the achievement of a good optical resolution play an important role. For the compensation of distortions adaptive optics is used. Classical adaptive-optics control schemes use matrix operations, which show a non-linear computation time dependence with matrix size, making it difficult to achieve high control loop frequencies at high resolution. A novel closed-loop adaptive optics is presented using a massively-parallel neural network in an all-hardware setup. It can be used for a fast real-time wave front sensor and for closed-loop operation.

Citation Download Citation

M. Eichhorn, A. Pichler, and P. Raymond "Novel all-hardware closed-loop adaptive optics system using massively-parallel neural processing", Proc. SPIE 7912, Solid State Lasers XX: Technology and Devices, 791217 (15 February 2011); https://doi.org/10.1117/12.877220

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