High Power Laser and Particle Beams, Volume. 35, Issue 7, 071008(2023)
Inverse calculation of achromatic Risley prism based on neural network
Figures & Tables(14)
Fig. 4. Relationship between deflection angle and absolute value of prism angle difference
Fig. 6. Relationship between azimuth angle and two groups of prism angles
Fig. 8. Relationship between the angle difference and the nonlinear part
Fig. 12. Reverse solution error value for achromatic risley prisms
Table 1. Results of experiments
unit: (°) View tableView in ArticleTable 1. Results of experiments
unit: (°) $ \phi $ $ {\mathit{\Theta}} $ $ {\theta }_{1}\left({\rm{real}}\right) $ $ {\theta }_{2}\left({\rm{real}}\right) $ $ {\theta }_{1}\left({\rm{fitting}}\right) $ $ {\theta }_{2}\left({\rm{fitting}}\right) $ $ {\theta }_{1}'\left({\rm{fitting}}\right) $ $ {\theta }_{2}'\left({\rm{fitting}}\right) $ 0.0186 90.0521 0.1 180 0.0973 180.0023 180.0072 0.1022 0.3724 90.0424 1 179 1.0001 179.0004 179.0845 1.0842 22.0821 4.3389 20 350 348.6781 18.6776 19.9998 350.0002 17.5733 129.2439 90 166 90.0001 166.0000 168.4876 92.4878 22.8874 325.2310 320 330 320.0006 329.9995 330.4613 320.4624
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Haoxin Luo, Yuxiang Yao, Wenwu Pan, Anqing You. Inverse calculation of achromatic Risley prism based on neural network[J]. High Power Laser and Particle Beams, 2023, 35(7): 071008
Paper Information
Category: High Power Laser Physics and Technology
Received: Jan. 3, 2023
Accepted: Apr. 20, 2023
Published Online: Jul. 24, 2023
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