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Alexander Scheinker1

  • 1Applied Electrodynamics Group, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA. ascheink@lanl.gov.

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This study introduces a non-invasive virtual diagnostic for precisely controlling electron beams at free electron lasers (FELs). A novel generative diffusion model achieves megapixel resolution for real-time beam characterization, enhancing FEL performance.

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Area of Science:

  • Accelerator Physics
  • Quantum Optics
  • Data Science

Background:

  • Advanced light sources like free electron lasers (FELs) require precise control of relativistic electron beams.
  • Electron bunch characteristics directly influence the quality and properties of generated coherent light.
  • Traditional diagnostics for electron beams are often destructive and struggle with time-varying drifts and collective effects.

Purpose of the Study:

  • To develop a non-invasive method for characterizing electron beam longitudinal phase space.
  • To achieve high-resolution (megapixel) diagnostics for real-time beam control.
  • To overcome limitations of destructive measurement techniques in FELs.

Main Methods:

  • Development of a generative conditional diffusion model.
  • Application of the model to reconstruct 2D time vs. energy longitudinal phase space distributions.
  • Validation using experimental data from the European X-ray FEL.

Main Results:

  • Demonstration of a non-invasive virtual diagnostic for electron beam phase space.
  • Achieved megapixel resolution (1024x1024) for detailed beam characterization.
  • Successful generative modeling on real experimental FEL data.

Conclusions:

  • The developed diffusion model offers a powerful non-invasive tool for electron beam diagnostics.
  • High-resolution virtual diagnostics can significantly improve the precise control of FELs.
  • This approach paves the way for enhanced dynamic imaging and FEL operational stability.