TUIXGD —  Invited Orals:Beam Instrumentation, Controls, Feedback and Op. Aspects   (14-Jun-22   09:00—09:30)
Chair: H. Maesaka, RIKEN SPring-8 Center, Hyogo, Japan
Paper Title Page
TUIXGD1
 Accurate and Confident Prediction of Electron Beam Longitudinal Properties Using Spectral Virtual Diagnostics  
 
  • A. Hanuka
    SLAC, Menlo Park, California, USA
  
  Longitudinal phase space measurement is one of the key diagnostics in FEL machines. In this work it is shown as the application of machine learning based virtual diagnostics can provide undirect information on the longitudinal phase space of the beam in a non intercepting way and, in combination with standard longitudinal diagnostics methods, helps overcoming resolution limitations and increasing the accuracy of the measured data.  
slides icon Slides TUIXGD1 [13.278 MB]  
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