Design, Optimization, and Blackbox Optimization of Laser Systems

• Published in: arXiv.org 2023-04
• Main Authors: Hirschman, Jack, Lemons, Randy, Wang, Minyang, Kroetz, Peter, Carbajo, Sergio
• Format: Article
• Language: English
• Subjects: Amplifier design; Communication networks; Design optimization; Electromagnetic fields; Energy distribution; Fluence; High power lasers; Integrated software; Inverse design; Lasers; Machine learning; Modelling; Nonlinear optics; Physical properties; Reverse engineering; Software
• ISSN: 2331-8422

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.