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Proceedings Paper

Numerical analysis for search-based intra-cavity beam cleanup system
Author(s): Yan Hu; LiZhi Dong; Xing He; WenJin Liu; EnYi Zhao; ShanQiu Chen; Ping Yang; Bing Xu
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Paper Abstract

The search-based intra-cavity beam cleanup systems are typical feedback loop systems which have been used in both gas and solid-state laser cavity to enhance laser performance. The studies on search-based intra-cavity beam cleanup systems mostly rely on experiments. However there are few reports about numerical simulation. In this paper, we attempt to use numerical method to analysis the search-based intra-cavity beam cleanup system. These systems contain three main elements: an adaptive laser cavity, a fitness sensor of laser performance and a computer-based search algorithm. According to the compositions of beam cleanup systems, three modules have been set up in our numerical simulation framework. We detail the theory, structure and numerical method of these modules in this paper. To demonstrate the feasibility of the numerical method, we calculated the results based on stochastic parallel gradient descent algorithm.

Paper Details

Date Published: 18 December 2014
PDF: 6 pages
Proc. SPIE 9295, International Symposium on Optoelectronic Technology and Application 2014: Laser Materials Processing; and Micro/Nano Technologies, 929511 (18 December 2014); doi: 10.1117/12.2073162
Show Author Affiliations
Yan Hu, Institute of Optics and Electronics (China)
Key Lab. on Adaptive Optics (China)
Univ. of Chinese Academy of Sciences (China)
LiZhi Dong, Institute of Optics and Electronics (China)
Key Lab. on Adaptive Optics (China)
Xing He, Institute of Optics and Electronics (China)
Key Lab. on Adaptive Optics (China)
Univ. of Chinese Academy of Sciences (China)
WenJin Liu, Institute of Optics and Electronics (China)
Key Lab. on Adaptive Optics (China)
Univ. of Chinese Academy of Sciences (China)
EnYi Zhao, Institute of Optics and Electronics (China)
Key Lab. on Adaptive Optics (China)
Univ. of Chinese Academy of Sciences (China)
ShanQiu Chen, Institute of Optics and Electronics (China)
Key Lab. on Adaptive Optics (China)
Ping Yang, Institute of Optics and Electronics (China)
Key Lab. on Adaptive Optics (China)
Bing Xu, Institute of Optics and Electronics (China)
Key Lab. on Adaptive Optics (China)


Published in SPIE Proceedings Vol. 9295:
International Symposium on Optoelectronic Technology and Application 2014: Laser Materials Processing; and Micro/Nano Technologies
Guofan Jin; Songlin Zhuang; Jennifer Liu, Editor(s)

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