Automated control and optimization of laser-driven ion acceleration

Automated control and optimization of laser-driven ion acceleration

The interaction of relativistically intense lasers with opaque targets represents a highly non-linear, multi-dimensional parameter space. This limits the utility of sequential 1D scanning of experimental parameters for the optimization of secondary radiation, although to-date this has been the accep...

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Bibliographic Details
Main Authors: B. Loughran, M. J. V. Streeter, H. Ahmed, S. Astbury, M. Balcazar, M. Borghesi, N. Bourgeois, C. B. Curry, S. J. D. Dann, S. DiIorio, N. P. Dover, T. Dzelzainis, O. C. Ettlinger, M. Gauthier, L. Giuffrida, G. D. Glenn, S. H. Glenzer, J. S. Green, R. J. Gray, G. S. Hicks, C. Hyland, V. Istokskaia, M. King, D. Margarone, O. McCusker, P. McKenna, Z. Najmudin, C. Parisuaña, P. Parsons, C. Spindloe, D. R. Symes, A. G. R. Thomas, F. Treffert, N. Xu, C. A. J. Palmer
Format: Article
Language:English
Published: Cambridge University Press 2023-01-01
Series:High Power Laser Science and Engineering
Subjects:
Bayesian optimization
high repetition-rate laser–target interaction
laser-driven particle acceleration
proton generation
Online Access:https://www.cambridge.org/core/product/identifier/S2095471923000233/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2095471923000233/type/journal_article

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