Start-to-end Software Model of CPA and NLO Systems
ORAL
Abstract
Modeling chirped pulse amplification (CPA) and nonlinear optical (NLO) systems from start to end (S2E) is essential to efficiently drive laser research and applications. Such models can help expand high power laser system designs routinely tackled with human-centered methodologies in far ranging sectors from basic science research to defense and national security to a wide array of commercial applications. S2E models can even enable reverse engineering of a laser system, allow for streamlined exploration of parameter spaces for experimental setups, aid in inverse design of materials, or train machine learning models for optimization and tuning of these systems.
We present a comprehensive S2E model that (i) addresses the need for accurately modeling CPA and NLO systems, (ii) integrates scalable components and subsystems, and (iii) is versatile for use in specific applications [1]. Here we show how the model can be used for reverse engineering amplifiers, ground-up design and inverse design of CPA systems, and simulation of systems integrating pulse shaping, CPA, and various upconversion techniques.
[1] Hirschman, J., et al. "Start-to-End Software Model: Engineering and Reverse-Engineering Laser Systems." CLEO: Science and Innovations. Optica Publishing Group, 2022.
We present a comprehensive S2E model that (i) addresses the need for accurately modeling CPA and NLO systems, (ii) integrates scalable components and subsystems, and (iii) is versatile for use in specific applications [1]. Here we show how the model can be used for reverse engineering amplifiers, ground-up design and inverse design of CPA systems, and simulation of systems integrating pulse shaping, CPA, and various upconversion techniques.
[1] Hirschman, J., et al. "Start-to-End Software Model: Engineering and Reverse-Engineering Laser Systems." CLEO: Science and Innovations. Optica Publishing Group, 2022.
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Publication: Start-to-End Model for Engineering and Reverse Engineering CPA Laser Systems and Nonlinear Conversion (planned for November submission)
Presenters
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Jack E Hirschman
Stanford University
Authors
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Jack E Hirschman
Stanford University
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Randy A Lemons
SLAC - Natl Accelerator Lab
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Minyang Wang
UCLA
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Sergio Carbajo
UCLA