Laser wakefield accelerator modelling with variational neural networks

Autor: M.J.V. Streeter, C. Colgan, C.C. Cobo, C. Arran, E.E. Los, R. Watt, N. Bourgeois, L. Calvin, J. Carderelli, N. Cavanagh, S.J.D. Dann, R. Fitzgarrald, E. Gerstmayr, A.S. Joglekar, B. Kettle, P. McKenna, C.D. Murphy, Z. Najmudin, P. Parsons, Q. Qian, P.P. Rajeev, C.P. Ridgers, D.R. Symes, A.G.R. Thomas, G. Sarri, S.P.D. Mangles

Publikováno v: Streeter, M J V, Colgan, C, Cobo, C C, Arran, C, Los, E E, Watt, R, Bourgeois, N, Calvin, L, Carderelli, J, Cavanagh, N, Dann, S J D, Fitzgarrald, R, Gerstmayr, E, Joglekar, A S, Kettle, B, Mckenna, P, Murphy, C D, Najmudin, Z, Parsons, P, Qian, Q, Rajeev, P P, Ridgers, C P, Symes, D R, Thomas, A G R, Sarri, G & Mangles, S P D 2023, ' Laser wakefield accelerator modelling with variational neural networks ', High Power Laser Science and Engineering, vol. 11, e9 . https://doi.org/10.1017/hpl.2022.47

A machine learning model was created to predict the electron spectrum generated by a GeV-class laser wakefield accelerator. The model was constructed from variational convolutional neural networks, which mapped the results of secondary laser and plas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::622cbb4f39acc8c6fe19a30bb4044ab4
https://pure.qub.ac.uk/en/publications/5116ad6d-f981-441a-9966-adc43545f550

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Automation and Control of Laser Wakefield Accelerators using Bayesian Optimization

Autor: Karl Krushelnick, Christopher Ridgers, R. J. Shalloo, Mario Balcazar, C. I. D. Underwood, Zulfikar Najmudin, C. Thornton, Kristjan Poder, S. Rozario, Stuart Mangles, J.-N. Gruse, C. D. Baird, Matthew Streeter, Jiwoong Kang, Alec Thomas, M. Backhouse, D.R. Symes, Andre Antoine, Ning Lu, Christopher Arran, Ashwin J. Shahani, Nicholas Bourgeois, P. W. Hatfield, S. J. D. Dann, Matthew Selwood, C. D. Murphy, Jason Cardarelli, P. P. Rajeev, Jens Osterhoff

Publikováno v: Nature Communications 11(1), 6355 (1-8) (2020). doi:10.1038/s41467-020-20245-6
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)

Nature Communications 11(1), 6355 (1-8) (2020). doi:10.1038/s41467-020-20245-6
Laser wakefield accelerators promise to revolutionize many areas of accelerator science. However, one of the greatest challenges to their widespread adoption is the d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c7479fa1bafd78974c3905be14eabee
https://bib-pubdb1.desy.de/record/452924

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