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cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnostics.

Alexander Scheinker1

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Summary

A new virtual diagnostic method uses conditional diffusion to predict particle beam phase space in a single shot. This breakthrough enables precise beam control by reconstructing all 15 unique 2D projections.

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Area of Science:

  • Accelerator Physics
  • Computational Physics
  • Data Science

Background:

  • Single-shot imaging of a particle beam's full 6D phase space is currently not feasible.
  • Existing single-shot beam measurement techniques are limited to 2D projections and are destructive.
  • Accurate prediction of a beam's 6D phase space is crucial for precise beam control in accelerators.

Purpose of the Study:

  • To develop a virtual diagnostic capable of predicting a particle beam's 6D phase space.
  • To create a method for reconstructing all 15 unique 2D projections of the beam's phase space in a single shot.
  • To enable precise beam control through advanced virtual diagnostics.

Main Methods:

  • A generative conditional diffusion model was developed for virtual diagnostics.
  • The diffusion process was guided by scalar parameters and image data.
  • A variational autoencoder (VAE) was used to convert image data into a low-dimensional latent vector representation.
  • The conditional diffusion guided by VAE (cDVAE) approach was applied to beam phase space reconstruction.

Main Results:

  • The cDVAE method successfully reconstructed all 15 unique 2D projections of the charged particle beam's 6D phase space.
  • Accurate prediction of the beam's phase space was demonstrated for the HiRES compact accelerator.
  • The virtual diagnostic proved effective for single-shot measurement and analysis.

Conclusions:

  • The developed cDVAE method provides an accurate and non-destructive virtual diagnostic for particle beam phase space.
  • This technique significantly advances the capability for precise beam control in particle accelerators.
  • The findings pave the way for improved accelerator operations and research through enhanced beam diagnostics.