arXiv 2211.096402022-11physics.optics

激光系统的设计、优化与黑盒优化

Design, Optimization, and Blackbox Optimization of Laser Systems

Jack Hirschman, Randy Lemons, Minyang Wang, Peter Kroetz, Sergio Carbajo

AI总结：

本文提出模块化端到端CPA+NLO激光系统仿真软件，可解析时空电磁场与关键物理量，并通过LCLS-II案例验证其逆向工程、优化和逆向设计能力。

摘要：

啁啾脉冲放大（CPA）及其后续非线性光学（NLO）系统，在过去数十年间构成了半导体与增材制造、通信网络、生物与医学、国防与国家安全以及众多其他领域中无数进展的骨干。由于存在大量耦合的线性与非线性过程，而且仿真框架差异很大，准确且高效地对基于CPA和NLO的激光系统进行建模颇具挑战。完全集成模型的缺乏严重阻碍了在定制现有CPA+NLO系统或实现新型CPA+NLO系统方面的进一步发展。此类工具是支撑依赖数据驱动机器学习方法的新兴优化和逆向设计途径的关键。在此，我们提出一个模块化的端到端软件模型，涵盖一系列放大器设计和非线性光学技术。该仿真器可生成时间分辨和频率分辨的电磁场，以及能量、注量和光谱分布等基本物理特征。为证明其稳健性和现实适用性——具体而言是逆向工程、系统优化和逆向设计——我们给出了一个关于LCLS-II光阴极注入器激光器的案例研究，该系统是高功率且光谱-时间特性复杂的CPA+NLO系统的代表。

英文摘要：

Chirped pulse amplification (CPA) and subsequent nonlinear optical (NLO) systems constitute the backbone of myriad advancements in semiconductor and additive manufacturing, communication networks, biology and medicine, defense and national security, and a host of other sectors over the past decades. Accurately and efficiently modeling CPA and NLO-based laser systems is challenging because of the multitude of coupled linear and nonlinear processes and high variability in simulation frameworks. The lack of fully-integrated models severely hampers further advances in tailoring existing or materializing new CPA+NLO systems. Such tools are the key to enabling emerging optimization and inverse design approaches reliant on data-driven machine learning methods. Here, we present a modular start-to-end software model encompassing an array of amplifier designs and nonlinear optics techniques. The simulator renders time- and frequency-resolved electromagnetic fields alongside essential physical characteristics of energy, fluence, and spectral distribution. To demonstrate its robustness and real-world applicability -- specifically, reverse engineering, system optimization, and inverse design -- we present a case study on the LCLS-II photo-injector laser, representative of a high-power and spectro-temporally non-trivial CPA+NLO system.

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摘要：

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