Linking a start-to-end software model and neural networks for optimization of CPA laser systems

Jack Hirschman; Randy Lemons; Minyang Wang; Ravikiran Saripalli; Peter Krötz; Federico Belli; Sergio Carbajo

doi:10.1117/12.2648472

17 March 2023 Linking a start-to-end software model and neural networks for optimization of CPA laser systems

Jack Hirschman, Randy Lemons, Minyang Wang, Ravikiran Saripalli, Peter Krötz, Federico Belli, Sergio Carbajo

Proceedings Volume PC12438, AI and Optical Data Sciences IV; PC124380I (2023) https://doi.org/10.1117/12.2648472
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

A full start-to-end software (S2E) model of a laser system– including a mode-locked oscillator, chirped pulse amplification shaper, and nonlinear upconversion– can help expand high power laser system designs routinely tackled with human-centered methodologies. S2E models can even enable reverse engineering of a laser system, allow for more streamlined exploration of parameter spaces for experimental setups, or train machine learning models for optimization and tuning of these systems. We present a generalized S2E model targeted at generating data of the photoinjector laser system at SLAC’s LCLS-II for training neural networks for optimization and, eventually, active tuning of the photoinjector.

Conference Presentation

Citation Download Citation

Jack Hirschman, Randy Lemons, Minyang Wang, Ravikiran Saripalli, Peter Krötz, Federico Belli, and Sergio Carbajo "Linking a start-to-end software model and neural networks for optimization of CPA laser systems", Proc. SPIE PC12438, AI and Optical Data Sciences IV, PC124380I (17 March 2023); https://doi.org/10.1117/12.2648472

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