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Numerical analysis for search-based intra-cavity beam cleanup system
Hu, Yan1,2,3; Dong, Li Zhi1,2; He, Xing1,2,3; Liu, Wen Jin1,2,3; Zhao, En Yi1,2,3; Chen, Shan Qiu1,2; Yang, Ping1,2; Xu, Bing1,2
Volume9295
Pages929511
2014
Language英语
ISSN0277786X
DOI10.1117/12.2073162
Indexed ByEi
Subtype会议论文
AbstractThe 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. © 2014 SPIE.; 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. © 2014 SPIE.
Conference NameProceedings of SPIE: International Symposium on Optoelectronic Technology and Application 2014: Laser Materials Processing; and Micro/Nano Technologies
Conference Date2014
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7823
Collection自适应光学技术研究室(八室)
Corresponding AuthorXu, Bing
Affiliation1. Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China
2. Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, China
3. University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Hu, Yan,Dong, Li Zhi,He, Xing,et al. Numerical analysis for search-based intra-cavity beam cleanup system[C],2014:929511.
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