Chinese Journal of Lasers, Volume. 47, Issue 4, 401003(2020)

Time Synchronization Step Detection for Short Pulses Using Spatial-Spectral Interference and Far Field

Mu Jie1,2,3, Wang Xiao1,2,3、*, Zuo Yanlei1,2,3, Hu Bilong1,2,3,4, Li Wei1,2,3,4, Zeng Xiaoming1,2,3, Zhou Kainan1,2,3, Wang Xiaodong1,2,3, Sun Li1,2,3, Wu Zhaohui1,2,3, and Su Jingqin1,2,3
Author Affiliations
  • 1Laser Fusion Research Center, China Academy of Engineering Physics, Mianyang, Sichuan 621900, China
  • 2Science and Technology on Plasma Physics Laboratory, Mianyang, Sichuan 621900, China
  • 3Collaborative Innovation Center of IFSA (CICIFSA), Shanghai Jiao Tong University, Shanghai 200240, China
  • 4Graduate School, China Academy of Engineering Physics, Beijing 100088, China
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    In this study, a step-detection method for the time synchronization of short pulses, based on spatial-spectral interference and far field, is proposed. A large range of time synchronization is first captured using the spatial-spectral interference, and the high-precision detection of which is then realized using far field. The proposed method is then simulated and analyzed. Results show the feasibility of this proposed method, suggesting that it exhibits advantages such as a large range and high precision. Moreover, the low requirement of energy makes it suitable for a short-pulse laser system as most of the energy can be applied to physical experiments. Furthermore, it can be used for the measurement and control of the time synchronization in plasma parameter diagnosis, coherent beam combination, and other fields.

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    Mu Jie, Wang Xiao, Zuo Yanlei, Hu Bilong, Li Wei, Zeng Xiaoming, Zhou Kainan, Wang Xiaodong, Sun Li, Wu Zhaohui, Su Jingqin. Time Synchronization Step Detection for Short Pulses Using Spatial-Spectral Interference and Far Field[J]. Chinese Journal of Lasers, 2020, 47(4): 401003

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    Paper Information

    Category: laser devices and laser physics

    Received: Sep. 17, 2019

    Accepted: --

    Published Online: Apr. 8, 2020

    The Author Email: Xiao Wang (wangxiaocn@263.net)

    DOI:10.3788/CJL202047.0401003

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