Acta Optica Sinica, Volume. 41, Issue 11, 1107001(2021)

Vortex Beam Generation Based on Spatial Light Modulator and Deep Learning

Wenqi Ma1, Huimin Lu1、*, Jianping Wang1, Yunshu Gao2, and Zengkun Wang3
Author Affiliations
  • 1School of Computer & Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China;
  • 2College of Science, Minzu University of China, Beijing 100081, China
  • 3Shenzhen Lubang Technology Co., Ltd., Shenzhen, Guangdong 518055, China
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    Figures & Tables(5)
    Flow chart of GS-CNN method
    Model selection of CNN. (a) MSE versus number of convolutional layers; (b) structural diagram of CNN
    Simulation experimental results by GS-CNN method. (a)--(c) Target intensity distributions of Bessel beams; (d)--(f) output light intensity distributions of generated vortex beams; (g)--(i) LC-SLM phase holograms of generated vortex beams
    RMSE of output light intensity and target light intensity of Bessel beam generated by each method. (a) l=1; (b) l=3; (c) l=1 and 4
    DE between input beam energy and output beam energy of Bessel vortex beam. (a) l=1; (b) l=3; (c) l=1 and 4
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    Wenqi Ma, Huimin Lu, Jianping Wang, Yunshu Gao, Zengkun Wang. Vortex Beam Generation Based on Spatial Light Modulator and Deep Learning[J]. Acta Optica Sinica, 2021, 41(11): 1107001

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    Paper Information

    Category: Fourier Optics and Signal Processing

    Received: Dec. 11, 2020

    Accepted: Jan. 8, 2021

    Published Online: Jun. 7, 2021

    The Author Email: Lu Huimin (hmlu@ustb.edu.cn)

    DOI:10.3788/AOS202141.1107001

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