Spectrum-tailored random fiber laser towards ICF laser facility

Fan Mengqiu; Lin Shengtao; Yao Ke; Qi Yifei; Zhang Jiaojiao; Zheng Junwen; Wang Pan; Ni Longqun; Bao Xingyu; Zhou Dandan; Zhang Bo; Xiao Kaibo; Xia Handing; Zhang Rui; Li Ping; Zheng Wanguo; Wang Zinan

doi:10.1063/5.0129434

Volume 8 Issue 2

Mar. 2023

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Article Navigation > Matter and Radiation at Extremes > 2023 > 8(2): 025902

Fan Mengqiu, Lin Shengtao, Yao Ke, Qi Yifei, Zhang Jiaojiao, Zheng Junwen, Wang Pan, Ni Longqun, Bao Xingyu, Zhou Dandan, Zhang Bo, Xiao Kaibo, Xia Handing, Zhang Rui, Li Ping, Zheng Wanguo, Wang Zinan. Spectrum-tailored random fiber laser towards ICF laser facility[J]. Matter and Radiation at Extremes, 2023, 8(2): 025902. doi: 10.1063/5.0129434

Citation:

Fan Mengqiu, Lin Shengtao, Yao Ke, Qi Yifei, Zhang Jiaojiao, Zheng Junwen, Wang Pan, Ni Longqun, Bao Xingyu, Zhou Dandan, Zhang Bo, Xiao Kaibo, Xia Handing, Zhang Rui, Li Ping, Zheng Wanguo, Wang Zinan. Spectrum-tailored random fiber laser towards ICF laser facility[J]. Matter and Radiation at Extremes, 2023, 8(2): 025902. doi: 10.1063/5.0129434

Citation:

Fan Mengqiu, Lin Shengtao, Yao Ke, Qi Yifei, Zhang Jiaojiao, Zheng Junwen, Wang Pan, Ni Longqun, Bao Xingyu, Zhou Dandan, Zhang Bo, Xiao Kaibo, Xia Handing, Zhang Rui, Li Ping, Zheng Wanguo, Wang Zinan. Spectrum-tailored random fiber laser towards ICF laser facility[J]. Matter and Radiation at Extremes, 2023, 8(2): 025902. doi: 10.1063/5.0129434

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Spectrum-tailored random fiber laser towards ICF laser facility

doi: 10.1063/5.0129434

1.
Laser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China
2.
Graduate School of China Academy of Engineering Physics, Beijing 100193, China
3.
Key Laboratory of Optical Fiber Sensing and Communications, University of Electronic Science and Technology of China, Chengdu 611731, China

More Information

Corresponding author: a)Author to whom correspondence should be addressed: znwang@uestc.edu.cn
Received Date: 2022-10-05
Accepted Date: 2022-12-21

Available Online: 2023-03-01

Publish Date: 2023-03-01

Abstract

Abstract

Broadband low-coherence light is considered to be an effective way to suppress laser plasma instability. Recent studies have demonstrated the ability of low-coherence laser facilities to reduce back-scattering during beam–target coupling. However, to ensure simultaneous low coherence and high energy, complex spectral modulation methods and amplification routes have to be adopted. In this work, we propose the use of a random fiber laser (RFL) as the seed source. The spectral features of this RFL can be carefully tailored to provide a good match with the gain characteristics of the laser amplification medium, thus enabling efficient amplification while maintaining low coherence. First, a theoretical model is constructed to give a comprehensive description of the output characteristics of the spectrum-tailored RFL, after which the designed RFL is experimentally realized as a seed source. Through precise pulse shaping and efficient regenerative amplification, a shaped random laser pulse output of 28 mJ is obtained, which is the first random laser system with megawatt-class peak power that is able to achieve low coherence and efficient spectrum-conformal regenerative amplification.

The authors have no conflicts to disclose.
Conflict of Interest
Mengqiu Fan: Conceptualization (lead); Formal analysis (equal); Validation (lead); Writing – original draft (lead); Writing – review & editing (lead). Shengtao Lin: Formal analysis (equal); Validation (lead); Writing – original draft (lead); Writing – review & editing (lead). Ke Yao: Formal analysis (supporting); Methodology (supporting); Validation (supporting); Writing – review & editing (equal). Yifei Qi: Formal analysis (supporting); Validation (equal); Writing – original draft (equal); Writing – review & editing (supporting). Jiaojiao Zhang: Formal analysis (supporting); Validation (supporting); Writing – original draft (supporting); Writing – review & editing (supporting). Junwen Zheng: Funding acquisition (supporting); Validation (supporting). Pan Wang: Validation (supporting); Writing – original draft (supporting). Longqun Ni: Validation (supporting); Writing – original draft (supporting). Xingyu Bao: Validation (supporting); Writing – original draft (supporting). Dandan Zhou: Validation (supporting). Bo Zhang: Validation (supporting). Kaibo Xiao: Validation (supporting). Handing Xia: Formal analysis (supporting); Funding acquisition (supporting); Project administration (supporting); Resources (supporting); Supervision (supporting). Rui Zhang: Funding acquisition (supporting); Project administration (supporting); Resources (supporting); Supervision (equal). Ping Li: Formal analysis (supporting); Funding acquisition (equal); Project administration (supporting); Resources (supporting); Supervision (supporting); Validation (supporting); Writing – review & editing (equal). Wanguo Zheng: Funding acquisition (lead); Project administration (supporting); Resources (supporting); Supervision (equal); Validation (supporting). Zinan Wang: Conceptualization (lead); Formal analysis (equal); Funding acquisition (equal); Project administration (equal); Supervision (lead); Validation (supporting); Writing – review & editing (equal).
Author Contributions
M.F. and S.L. contributed equally to this work.
The data that support the findings of this study are available from the corresponding author upon reasonable request.

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References(44)

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