Matter and Radiation at Extremes, Volume. 8, Issue 3, 034401(2023)
Diagnosis of ultrafast ultraintense laser pulse characteristics by machine-learning-assisted electron spin
Fig. 1. Left: Three different electron beams propagating along the
Fig. 2. Training loss (mean squared errors for all training samples) evolutions of
Fig. 3. (a) Relative errors
Fig. 4. (a) and (b) Transverse spin degrees of depolarization of the probe electron beams
Fig. 5. Impact of probe electron beam parameters on detection signals. (a) Final average kinetic energies
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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
Category: Fundamental Physics At Extreme Light
Received: Dec. 31, 2022
Accepted: Feb. 26, 2023
Published Online: Jun. 30, 2023
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