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Decoding Sources of Energy Variability in a Laser-Plasma Accelerator
Physical Review X ( IF 12.5 ) Pub Date : 2020-08-18 , DOI: 10.1103/physrevx.10.031039
Andreas R. Maier , Niels M. Delbos , Timo Eichner , Lars Hübner , Sören Jalas , Laurids Jeppe , Spencer W. Jolly , Manuel Kirchen , Vincent Leroux , Philipp Messner , Matthias Schnepp , Maximilian Trunk , Paul A. Walker , Christian Werle , Paul Winkler

Laser-plasma acceleration promises compact sources of high-brightness relativistic electron beams. However, the limited stability often associated with laser-plasma acceleration has previously prevented a detailed mapping of the drive laser and electron performance and represents a major obstacle towards advancing laser-plasma acceleration for applications. Here, we correlate drive laser and electron-beam parameters with high statistics to identify and quantify sources of electron energy drift and jitter. Based on our findings, we provide a parametrization to predict the electron energy drift with subpercent accuracy for many hours from measured laser parameters, which opens a path for performance improvements by active stabilization. Our results are enabled by the first stable 24-h operation of a laser-plasma accelerator and the statistics from 100 000 consecutive electron beams, which, by itself, marks an important milestone.

中文翻译:

激光等离子加速器中能量变异性的解码源

激光等离子体加速有望带来紧凑的高亮度相对论电子束源。但是,通常与激光等离子加速相关的有限的稳定性先前已阻止了驱动激光器和电子性能的详细映射,并且对于推进应用的激光等离子加速而言是主要障碍。在这里,我们将驱动激光和电子束参数与高统计量相关联,以识别和量化电子能量漂移和抖动的来源。根据我们的发现,我们提供了参数化功能,可以根据测得的激光参数在数小时内以低于准确度的精度预测电子能量漂移,这为通过主动稳定提高性能提供了一条途径。
更新日期:2020-08-19
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