Adaptive optics test bench for predictive wavefront correction

Author(s):  
Lidia A. Bolbasova ◽  
Alexey N. Gritsuta ◽  
Vitaly V. Lavrinov ◽  
Vladimir P. Lukin ◽  
Anton A. Selin ◽  
...  
Author(s):  
O. Keskin ◽  
P. Hampton ◽  
R. Conan ◽  
C. Bradley ◽  
A. Hilton ◽  
...  
Keyword(s):  

2017 ◽  
Vol 46 (2) ◽  
pp. 201001
Author(s):  
高春清 Gao Chunqing ◽  
张世坤 Zhang Shikun ◽  
付时尧 Fu Shiyao ◽  
胡新奇 Hu Xinqi

2019 ◽  
Vol 629 ◽  
pp. A41 ◽  
Author(s):  
J. Woillez ◽  
J. A. Abad ◽  
R. Abuter ◽  
E. Aller Carpentier ◽  
J. Alonso ◽  
...  

Context. The tip-tilt stabilisation system of the 1.8 m Auxiliary Telescopes of the Very Large Telescope Interferometer was never dimensioned for robust fringe tracking, except when atmospheric seeing conditions are excellent. Aims. Increasing the level of wavefront correction at the telescopes is expected to improve the coupling into the single-mode fibres of the instruments, and enable robust fringe tracking even in degraded conditions. Methods. We deployed a new adaptive optics module for interferometry (NAOMI) on the Auxiliary Telescopes. Results. We present its design, performance, and effect on the observations that are carried out with the interferometric instruments.


Author(s):  
Olivier Lai ◽  
Mark Chun ◽  
Jessica Lu ◽  
Doug Toomey ◽  
Christoph Baranec ◽  
...  

2014 ◽  
Vol 22 (25) ◽  
pp. 31337 ◽  
Author(s):  
Ming Li ◽  
Milorad Cvijetic ◽  
Yuzuru Takashima ◽  
Zhongyuan Yu

2014 ◽  
Vol 666 ◽  
pp. 293-297
Author(s):  
Stephen Kotiang ◽  
Jae Ho Choi

Chaotic genetic algorithm (CGA) is presented as an optimization algorithm for sensorless adaptive optics system to compensate atmospheric wave aberration. Chaos search strategy is incorporated into standard genetic algorithm by the logistic function that possess convergent, bifurcating, and chaotic characteristics during evolution to control the convergence of genetic algorithm. A real number encoding method is adopted in the search process and CGA is used to control a 61-actuator deformable membrane mirror (DM).The algorithm uses light intensity detected on the focal plane as the objective function to optimize, and the simulation results show CGAperforms faster than GA and thus can effectively be used in AO systems.


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