Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 2, 188(2023)
Optimal design of Lyot liquid crystal tunable filter based on the artificial immune algorithm
Fig. 1. Flow chart of LCTF optimization based on artificial immune algorithm
Fig. 2. Comparison of filtering performance under different passband and stopband(w1∶w2)weights.(a)FWHM comparison;(b)Side-lobe suppression(SLS)comparison.
Fig. 3. Comparison of evaluation function values under different passband and stoppand weights
Fig. 4. Comparison of spectral curves of traditional Lyot type before and after optimization by IA algorithm
Fig. 5. Comparison of spectral response curves between dual population filter(2.71,6.35,14.92,23.60,27.49 μm)designed by IA algorithm and tranitional Lyot type LCTF(2,4,8,16,32 μm).
Fig. 6. Comparison of transmission gain curve between traditional Lyot type LCTF and LCTF design by IA algorithm
Fig. 8. Comparison of the overall spectral response curves between the actual LCTF designed by IA algorithm and the traditional Lyot LCTF
Fig. 9. Comparison of the evaluation function values under the actual LCTF designed by the IA algorithm and the traditional Lyot type LCTF
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Li-xin CHEN, Ru-xin ZHOU, Wen-zheng SU, Wen-bin ZHENG, Ying YANG, Wen-wen MENG, Shi-yuan ZHANG, Xiang-sheng XIE, Li-shuang YAO. Optimal design of Lyot liquid crystal tunable filter based on the artificial immune algorithm[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(2): 188
Category: Research Articles
Received: Oct. 12, 2022
Accepted: --
Published Online: Feb. 20, 2023
The Author Email: Li-shuang YAO (lsyao@stu.edu.cn)