Optimization and control of synchrotron emission in ultraintense laser–solid interactions using machine learning
The optimum parameters for the generation of synchrotron radiation in ultraintense laser pulse interactions with planar foils are investigated with the application of Bayesian optimization, via Gaussian process regression, to 2D particle-in-cell simulations. Individual properties of the synchrotron...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2023-01-01
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| Series: | High Power Laser Science and Engineering |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2095471923000117/type/journal_article |