Diagnosis of ultrafast ultraintense laser pulse characteristics by machine-learning-assisted electron spin
作者机构：Ministry of Education Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed MatterShaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic DevicesSchool of PhysicsXi’an Jiaotong UniversityXi’an 710049China Department of PhysicsAmerican University of SharjahP.O.Box 26666SharjahUnited Arab Emirates Department of Nuclear PhysicsChina Institute of Atomic EnergyP.O.Box 275(7)Beijing 102413China Key Laboratory of Plasma PhysicsResearch Center of Laser FusionChina Academy of Engineering PhysicsMianshan Rd.64#MianyangSichuan 621900China School of Mathematics and StatisticsXi’an Jiaotong UniversityXi’anShaanxi 710049China
出 版 物：《Matter and Radiation at Extremes》 (极端条件下的物质与辐射（英文）)
年 卷 期：2023年第8卷第3期
页 面：1-9页
核心收录：
学科分类：080901[工学-物理电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 0704[理学-天文学] 0803[工学-光学工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0702[理学-物理学]
基 金：This work is supported by the National Natural Science Foundation of China(Grant Nos.11874295,12022506,U2267204,11905169,12275209,11875219,and 12171383) the Open Fund of the State Key Laboratory of High Field Laser Physics(Shanghai Institute of Optics and Fine Mechanics) the Foundation of Science and Technology on Plasma Physics Laboratory(Grant No.JCKYS2021212008) The work of Y.I.S.is supported by an American University of Sharjah Faculty Research(Grant No.FRG21)
摘 要：The rapid development of ultrafast ultraintense laser technology continues to create opportunities for studying strong-field physics under extreme ***,accurate determination of the spatial and temporal characteristics of a laser pulse is still a great challenge,especially when laser powers higher than hundreds of terawatts are *** this paper,by utilizing the radiative spin-flip effect,we find that the spin depolarization of an electron beam can be employed to diagnose characteristics of ultrafast ultraintense lasers with peak intensities around 10^(20)–10^(22) W/cm^(2).With three shots,our machine-learning-assisted model can predict,simultaneously,the pulse duration,peak intensity,and focal radius of a focused Gaussian ultrafast ultraintense laser(in principle,the profile can be arbitrary)with relative errors of 0.1%–10%.The underlying physics and an alternative diagnosis method(without the assistance of machine learning)are revealed by the asymptotic approximation of the final spin degree of *** proposed scheme exhibits robustness and detection accuracy with respect to fluctuations in the electron beam *** measurements of ultrafast ultraintense laser parameters will lead to much higher precision in,for example,laser nuclear physics investigations and laboratory astrophysics *** machine learning techniques may also find applications in more general strong-field physics scenarios.
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