Laser wakefield accelerator modelling with variational neural networks
Laser wakefield accelerator modelling with variational neural networks
About this item
Full title
Author / Creator
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. and Mangles, S. P. D.
Publisher
Cambridge, UK: Cambridge University Press
Journal title
Language
English
Formats
Publication information
Publisher
Cambridge, UK: Cambridge University Press
Subjects
More information
Scope and Contents
Contents
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 plasma diagnostics to the generated electron spectrum. An ensemble of trained networks was used to predi...
Alternative Titles
Full title
Laser wakefield accelerator modelling with variational neural networks
Authors, Artists and Contributors
Author / Creator
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.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2780506119
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2780506119
Other Identifiers
ISSN
2095-4719
E-ISSN
2052-3289
DOI
10.1017/hpl.2022.47
