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Title: Machine learning-based longitudinal phase space prediction of particle accelerators

Authors:
; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1482420
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Journal Article: Published Article
Journal Name:
Physical Review Accelerators and Beams
Additional Journal Information:
Journal Name: Physical Review Accelerators and Beams Journal Volume: 21 Journal Issue: 11; Journal ID: ISSN 2469-9888
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English

Citation Formats

Emma, C., Edelen, A., Hogan, M. J., O’Shea, B., White, G., and Yakimenko, V. Machine learning-based longitudinal phase space prediction of particle accelerators. United States: N. p., 2018. Web. doi:10.1103/PhysRevAccelBeams.21.112802.
Emma, C., Edelen, A., Hogan, M. J., O’Shea, B., White, G., & Yakimenko, V. Machine learning-based longitudinal phase space prediction of particle accelerators. United States. doi:10.1103/PhysRevAccelBeams.21.112802.
Emma, C., Edelen, A., Hogan, M. J., O’Shea, B., White, G., and Yakimenko, V. Fri . "Machine learning-based longitudinal phase space prediction of particle accelerators". United States. doi:10.1103/PhysRevAccelBeams.21.112802.
@article{osti_1482420,
title = {Machine learning-based longitudinal phase space prediction of particle accelerators},
author = {Emma, C. and Edelen, A. and Hogan, M. J. and O’Shea, B. and White, G. and Yakimenko, V.},
abstractNote = {},
doi = {10.1103/PhysRevAccelBeams.21.112802},
journal = {Physical Review Accelerators and Beams},
number = 11,
volume = 21,
place = {United States},
year = {Fri Nov 16 00:00:00 EST 2018},
month = {Fri Nov 16 00:00:00 EST 2018}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1103/PhysRevAccelBeams.21.112802

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