How Can Machine Learning Help Future Light Sources?

Santamaria Garcia, Andrea; Bründermann, Erik; Caselle, Michele; De Carne, Giovanni; Müller, Anke-Susanne; Scomparin, Luca; Xu, Chenran

doi:10.18429/JACoW-FLS2023-TH3D3

Journals of Accelerator Conferences Website (JACoW)

JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.

LaTeX citation export for TH3D3: How Can Machine Learning Help Future Light Sources?

%\cite{santamariagarcia:fls2023-th3d3}
\bibitem{santamariagarcia:fls2023-th3d3}
   A. Santamaria Garcia, E. Bründermann, M. Caselle, G. De Carne, A.-S. Müller, L. Scomparin, and \emph{et al.},
%   A. Santamaria Garcia, E. Bründermann, M. Caselle, G. De Carne, A.-S. Müller, L. Scomparin, and C. Xu,
%   A. Santamaria Garcia \emph{et al.},
   “How Can Machine Learning Help Future Light Sources?”,
% --- complete abbrev. form (published paper) - JACoW template Nov 2022 ---
   in \emph{Proc. 67th ICFA Adv. Beam Dyn. Workshop Future Light Sources (FLS'23)}, Luzern, Switzerland, Aug.-Sep. 2023, pp.~249--256.
% --- abbreviated form (published paper) - JACoW template Nov 2022 ---
%  in \emph{Proc. FLS'23}, Luzern, Switzerland, Aug.-Sep. 2023, pp.~249--256.
   \url{doi:10.18429/JACoW-FLS2023-TH3D3}
% --- additional material -ISSN/ISBN--
%  ISBN: 978-3-95450-224-0, ISSN: 2673-7035