Chinese Journal of Lasers, Volume. 47, Issue 8, 805001(2020)
Slab Laser Beam Cleanup Based on Efficient Stochastic Parallel Gradient Descent Algorithm
Fig. 3. Comparison of laser beam cleanup simulation results by the four algorithms. (a) Images of far-field focal spot after correction based on traditional SPGD; (b) images of far-field focal spot after correction of SPGD based on adaptive gain optimization; (c) images of the far-field focal spot after correction based on wavefront sensing; (d) images of the far-field focal spot after correction of SPGD based on adaptive gain and joint index
Fig. 4. Comparison of convergence speed of three wavefront sensorless beam cleanup algorithms
Fig. 5. Aberration mode decomposition results. (a) Legendre polynomial fitting results; (b) mode coefficients
Fig. 8. Experimental results of slab laser beam cleanup. (a) Laser far-field focal spot before correction; (b) laser far-field focal spot after correction by the adaptive-gain-joint-index SPGD algorithm; (c) laser far-field focal spot aftercorrection by the wavefront adaptive system
|
Get Citation
Copy Citation Text
Ma Shiqing, Yang Ping, Lai Boheng, Su Chunxuan. Slab Laser Beam Cleanup Based on Efficient Stochastic Parallel Gradient Descent Algorithm[J]. Chinese Journal of Lasers, 2020, 47(8): 805001
Category: Beam transmission and control
Received: Dec. 19, 2019
Accepted: --
Published Online: Aug. 17, 2020
The Author Email: