deformable membrane mirror
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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.


2011 ◽  
Author(s):  
Cristian Bonato ◽  
Stefano Bonora ◽  
Andrea Chiuri ◽  
Paolo Mataloni ◽  
Giorgio Milani ◽  
...  

2010 ◽  
Vol 96 (25) ◽  
pp. 251108 ◽  
Author(s):  
U. Bortolozzo ◽  
S. Bonora ◽  
J. P. Huignard ◽  
S. Residori

2010 ◽  
Vol 27 (6) ◽  
pp. A175 ◽  
Author(s):  
Cristian Bonato ◽  
Stefano Bonora ◽  
Andrea Chiuri ◽  
Paolo Mataloni ◽  
Giorgio Milani ◽  
...  

2010 ◽  
Author(s):  
Stefano Bonora ◽  
Umberto Bortolozzo ◽  
Jean Pierre Huignard ◽  
Stefania Residori

2009 ◽  
Vol 59 (6) ◽  
pp. 590-594 ◽  
Author(s):  
Amita Gupta ◽  
Shailesh Kumar ◽  
Ranvir Singh ◽  
Monika Chaudhary ◽  
A. Meena ◽  
...  

2008 ◽  
Vol 16 (15) ◽  
pp. 10943 ◽  
Author(s):  
Walter Lubeigt ◽  
Gareth Valentine ◽  
David Burns

2008 ◽  
Vol 33 (5) ◽  
pp. 419 ◽  
Author(s):  
S. P. Poland ◽  
A. J. Wright ◽  
J. M. Girkin

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