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- W2078137251 abstract "In a high-energy laser, the thermal aberrations degrade the beam quality and reduce the laser’s output power. Adaptive optics (AO) technique based on a stochastic parallel gradient (SPGD) algorithm can be used to compensate for the distortions in real time to clean up the laser beam. Such a beam clean-up system was simulated and experiments were conducted to study the optimization of the parameters of the gain coefficient and the amplitude of the perturbation. The results show that the convergence property of the SPGD algorithm is improved after the parameters being optimized." @default.
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- W2078137251 date "2012-11-29" @default.
- W2078137251 modified "2023-09-23" @default.
- W2078137251 title "Parameters optimization of the beam clean-up system based on stochastic parallel gradient descent method" @default.
- W2078137251 doi "https://doi.org/10.1117/12.982001" @default.
- W2078137251 hasPublicationYear "2012" @default.
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