Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine

doi:10.1109/LPT.2020.2993141

CORC > 光电技术研究所 > 中国科学院光电技术研究所 > 自适应光学技术研究室（八室）

	Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine
	Xu, Zhiqiang 1,2,5; Wang, Peng 3; Zhao, Mengmeng 1,2,5; Yang, Mi 3; Zhao, Wang 1,4; Hu, Ke 1,4; Dong, Lizhi 1,4; Wang, Shuai 1,4; Li, Xiao 3; Yang, Ping 1,4
刊名	IEEE Photonics Technology Letters
	2020-06-15
卷号	32 期号:12 页码:693-696
关键词	Extreme learning machine second harmonic generation wave-front sensor
ISSN号	1041-1135
DOI	10.1109/LPT.2020.2993141
文献子类	期刊论文
英文摘要	In the applications of wave-front detection using second-harmonic generation, the spatial phase distribution needs to calculate accurately before and after frequency doubling in real-time. This letter presents a learning-based method called extreme learning machine to fit the corresponding relationship of phase between the fundamental frequency wave and the second-harmonic. The Zernike coefficients of the fundamental frequency wave wave-front and the second-harmonic wave-front are used as input data for Extreme Learning Machine model training and testing. The effects of the intensity-dependent phase shift and walk-off are also considered. The reliability of the trained Extreme Learning Machine model was accessed based on simulation results. The proposed method has shown distinct competitive advantages in real-time calculation efficiency. The well-trained Extreme Learning Machine model only needs 0.026 seconds to accurately predict the phase distribution of the fundamental frequency wave. The runtime is three orders of magnitude smaller than the traditional numerical calculation method. © 1989-2012 IEEE.
出版地	PISCATAWAY
WOS关键词	FREQUENCY ; BEAMS ; DEPLETION
WOS研究方向	Engineering ; Optics ; Physics
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000536335900002
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/10067]
专题	光电技术研究所_自适应光学技术研究室（八室）
作者单位	1.Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu; 610209, China; 2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; 3.College of Optoelectronic Science and Engineering, National University of Defense Technology, Changsha; 410073, China; 4.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China 5.College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing; 100049, China;
推荐引用方式 GB/T 7714	Xu, Zhiqiang,Wang, Peng,Zhao, Mengmeng,et al. Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine[J]. IEEE Photonics Technology Letters,2020,32(12):693-696.
APA	Xu, Zhiqiang.,Wang, Peng.,Zhao, Mengmeng.,Yang, Mi.,Zhao, Wang.,...&Xu, Bing.(2020).Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine.IEEE Photonics Technology Letters,32(12),693-696.
MLA	Xu, Zhiqiang,et al."Prediction of Second-Harmonic Generation Wave-Front Distribution by Extreme Learning Machine".IEEE Photonics Technology Letters 32.12(2020):693-696.