6D Phase Space Diagnostics Based on Adaptively Tuned Physics-Informed Generative Convolutional Neural Networks

Scheinker, Alexander; Cropp V, Frederick (Eric); Filippetto, Daniele

doi:10.18429/JACoW-IPAC2022-TUOXGD3

Journals of Accelerator Conferences Website (JACoW)

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LaTeX citation export for TUOXGD3: 6D Phase Space Diagnostics Based on Adaptively Tuned Physics-Informed Generative Convolutional Neural Networks

%\cite{scheinker:ipac2022-tuoxgd3}
\bibitem{scheinker:ipac2022-tuoxgd3}
   A. Scheinker, F.W. Cropp V, and D. Filippetto,
   \textquotedblleft{6D Phase Space Diagnostics Based on Adaptively Tuned Physics-Informed Generative Convolutional Neural Networks}\textquotedblright,
% --- abbreviated form (published paper) - JACoW template Feb 2018 ---
   in \emph{Proc. IPAC'22}, Bangkok, Thailand, Jun. 2022, pp. 776--779.
% --- complete form (published paper) - JACoW template Feb 2018 ---
%  in \emph{Proc. 13th International Particle Accelerator Conference (IPAC'22)}, Bangkok, Thailand, Jun. 2022, pp. 776--779.
   \url{doi:10.18429/JACoW-IPAC2022-TUOXGD3}
% --- additional material -ISSN/ISBN--
%  ISBN: 978-3-95450-227-1, ISSN: 2673-5490