| 题名: | Numerical analysis for search-based intra-cavity beam cleanup system |
| 作者: | 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
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| 出版日期: | 2014
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| 会议名称: | Proceedings of SPIE: International Symposium on Optoelectronic Technology and Application 2014: Laser Materials Processing; and Micro/Nano Technologies
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| 会议日期: | 2014
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| 学科分类: | Adaptive optics - Algorithms - Feedback - Gradient methods - Laser applications - Laser resonators - Numerical methods - Numerical models - Solid state lasers - Stochastic systems
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| DOI: | 10.1117/12.2073162
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| 通讯作者: | Xu, Bing
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| 中文摘要: | 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. |
| 英文摘要: | 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. |
| 收录类别: | Ei
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| 语种: | 英语
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| 卷号: | 9295
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| ISSN号: | 0277786X
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| 文章类型: | 会议论文
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| 页码: | 929511
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| Citation statistics: |
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| 内容类型: | 会议论文
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| URI标识: | http://ir.ioe.ac.cn/handle/181551/7823
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| Appears in Collections: | 自适应光学技术研究室（八室）_会议论文
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| 2014-2166.pdf（355KB） | 会议论文 | -- | 限制开放 | | View
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作者单位: | 1. 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
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| Recommended Citation: | |
Hu, Yan,Dong, Li Zhi,He, Xing,et al. Numerical analysis for search-based intra-cavity beam cleanup system[C]. 见:Proceedings of SPIE: International Symposium on Optoelectronic Technology and Application 2014: Laser Materials Processing; and Micro/Nano Technologies. 2014.
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