• Chinese Journal of Lasers
  • Vol. 47, Issue 8, 805001 (2020)
Ma Shiqing1、2、3, Yang Ping1、2, Lai Boheng1、2, and Su Chunxuan1、2、3
Author Affiliations
  • 1Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/CJL202047.0805001 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Wavefront sensorless adaptive optics
    Fig. 1. Wavefront sensorless adaptive optics
    SR evolution curves of three index evaluation functions
    Fig. 2. SR evolution curves of three index evaluation functions
    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. 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
    Comparison of convergence speed of three wavefront sensorless beam cleanup algorithms
    Fig. 4. Comparison of convergence speed of three wavefront sensorless beam cleanup algorithms
    Aberration mode decomposition results. (a) Legendre polynomial fitting results; (b) mode coefficients
    Fig. 5. Aberration mode decomposition results. (a) Legendre polynomial fitting results; (b) mode coefficients
    Wavefront PV and RMS curves at 200 frames
    Fig. 6. Wavefront PV and RMS curves at 200 frames
    Schematic diagram of slab laser beam cleanup experiment
    Fig. 7. Schematic diagram of slab laser beam cleanup experiment
    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
    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
    PIB curves in the laser far-field focal spot after correction
    Fig. 9. PIB curves in the laser far-field focal spot after correction
    EquipmentParameterIndex
    LaserWavelength /μm1.064
    Caliber /(mm×mm)100×80
    Far-field cameraFocal length /m5.5
    Pixel size /μm5.6
    Drive spacing /mm8
    Deformable mirrorDrive layoutSquare
    Drive number255
    Table 1. Parameter of the slab laser beam cleanup simulation system
    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
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