Author: Emma, C.
Paper Title Page
Using Off-Axis Undulator Radiation as a Longitudinal Electron-Beam Diagnostic  
  • Q.R. Marksteiner, H.L. Andrews, J.E. Coleman, W.P. Romero, N.A. Yampolsky, M.R.A. Zuboraj
    LANL, Los Alamos, New Mexico, USA
  • S.K. Barber, R.D. Ryne, J. van Tilborg
    LBNL, Berkeley, California, USA
  • C. Emma
    SLAC, Menlo Park, California, USA
  • B. Ostler
    University of Chicago, Chicago, Illinois, USA
  Funding: This project was supported by funding from the Los Alamos National Laboratory Laboratory Research and Development program.
A novel diagnostic has been developed that uses off-axis undulator radiation to characterize the longitudinal bunch profile of an electron beam. The diagnostic uses a small, ~0.1-m long undulator with mirrors that focus the undulator radiation onto an array of pyrometers. The mirrors both focus the radiation onto the pyrometer and remove the chirping effect that comes from the finite length of the undulator. Numerical and analytical models have been developed to calculate the radiation for a given bunch length, and a phase retrieval algorithm has been developed to extract the bunch profile from measured data. The diagnostic has been installed at the BELLA laser-plasma wakefield accelerator, and will be used to characterize the bunch length there. The concept and relevant results will be presented.
slides icon Slides WEZD4 [3.577 MB]  
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Machine Learning-Based Longitudinal Phase Space Prediction of Particle Accelerators  
  • C. Emma
    SLAC, Menlo Park, California, USA
  The author would report on the application of machine learning (ML) methods for predicting the longitudinal phase space (LPS) distribution of particle accelerators. The approach consists of training a ML-based virtual diagnostic to predict the LPS using only nondestructive linac and e-beam measurements as inputs.  
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