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Matter and Radiation at Extremes, Volume. 8, Issue 3, 034401(2023)

Diagnosis of ultrafast ultraintense laser pulse characteristics by machine-learning-assisted electron spin

Zhi-Wei Lu1, Xin-Di Hou1, Feng Wan1, Yousef I. Salamin2, Chong Lv3, Bo Zhang4, Fei Wang5, Zhong-Feng Xu1, and Jian-Xing Li1
Author Affiliations
  • 1Ministry of Education Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Shaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic Devices, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China
  • 2Department of Physics, American University of Sharjah, P.O. Box 26666, Sharjah, United Arab Emirates
  • 3Department of Nuclear Physics, China Institute of Atomic Energy, P.O. Box 275(7), Beijing 102413, China
  • 4Key Laboratory of Plasma Physics, Research Center of Laser Fusion, China Academy of Engineering Physics, Mianshan Rd. 64#, Mianyang, Sichuan 621900, China
  • 5School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China
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    Abstract
    Figures&Tables (6)
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    Zhi-Wei Lu, Xin-Di Hou, Feng Wan, Yousef I. Salamin, Chong Lv, Bo Zhang, Fei Wang, Zhong-Feng Xu, Jian-Xing Li. Diagnosis of ultrafast ultraintense laser pulse characteristics by machine-learning-assisted electron spin[J]. Matter and Radiation at Extremes, 2023, 8(3): 034401

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    Paper Information

    Category: Fundamental Physics At Extreme Light

    Received: Dec. 31, 2022

    Accepted: Feb. 26, 2023

    Published Online: Jun. 30, 2023

    The Author Email:

    DOI:10.1063/5.0140828

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology