Automated control and optimization of laser-driven ion acceleration

IF 5.2 1区物理与天体物理 Q1 OPTICS

High Power Laser Science and Engineering Pub Date : 2023-03-01 DOI:10.1017/hpl.2023.23

B. Loughran, M. Streeter, H. Ahmed, S. Astbury, M. Balcazar, M. Borghesi, N. Bourgeois, C. Curry, S. Dann, S. DiIorio, N. Dover, T. Dzelzanis, O. Ettlinger, M. Gauthier, L. Giuffrida, G. Glenn, S. Glenzer, J. Green, R. Gray, G. Hicks, C. Hyland, V. Istokskaia, M. King, D. Margarone, O. McCusker, P. McKenna, Z. Najmudin, C. Parisuaña, P. Parsons, C. Spindloe, D. Symes, A. Thomas, F. Treffert, N. Xu, C. Palmer

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引用次数: 3

Abstract

Abstract The interaction of relativistically intense lasers with opaque targets represents a highly non-linear, multi-dimensional parameter space. This limits the utility of sequential 1D scanning of experimental parameters for the optimization of secondary radiation, although to-date this has been the accepted methodology due to low data acquisition rates. High repetition-rate (HRR) lasers augmented by machine learning present a valuable opportunity for efficient source optimization. Here, an automated, HRR-compatible system produced high-fidelity parameter scans, revealing the influence of laser intensity on target pre-heating and proton generation. A closed-loop Bayesian optimization of maximum proton energy, through control of the laser wavefront and target position, produced proton beams with equivalent maximum energy to manually optimized laser pulses but using only 60% of the laser energy. This demonstration of automated optimization of laser-driven proton beams is a crucial step towards deeper physical insight and the construction of future radiation sources.

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激光驱动离子加速的自动控制与优化

相对强激光与不透明目标的相互作用是一个高度非线性的多维参数空间。这限制了对二次辐射优化的实验参数进行顺序一维扫描的效用，尽管迄今为止，由于数据采集率低，这已成为公认的方法。通过机器学习增强的高重复率(HRR)激光器为有效的光源优化提供了宝贵的机会。在这里，一个自动化的、hrr兼容的系统产生了高保真的参数扫描，揭示了激光强度对目标预热和质子产生的影响。通过控制激光波前和目标位置，对最大质子能量进行闭环贝叶斯优化，产生的质子束与手动优化的激光脉冲的最大能量相当，但仅使用60%的激光能量。激光驱动质子束的自动优化演示是迈向更深入的物理洞察和未来辐射源构建的关键一步。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

High Power Laser Science and Engineering Physics and Astronomy-Nuclear and High Energy Physics

CiteScore

7.10

自引率

4.20%

发文量

401

审稿时长

21 weeks

期刊介绍： High Power Laser Science and Engineering (HPLaser) is an international, peer-reviewed open access journal which focuses on all aspects of high power laser science and engineering. HPLaser publishes research that seeks to uncover the underlying science and engineering in the fields of high energy density physics, high power lasers, advanced laser technology and applications and laser components. Topics covered include laser-plasma interaction, ultra-intense ultra-short pulse laser interaction with matter, attosecond physics, laser design, modelling and optimization, laser amplifiers, nonlinear optics, laser engineering, optical materials, optical devices, fiber lasers, diode-pumped solid state lasers and excimer lasers.