cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnostics
Abstract Imaging the 6D phase space of a beam in a particle accelerator in a single shot is currently impossible. Single shot beam measurements only exist for certain 2D beam projections and these methods are destructive. A virtual diagnostic that can generate an accurate prediction of a beam’s 6D p...
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Nature Portfolio
2024-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-80751-1 |
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| author | Alexander Scheinker |
| author_facet | Alexander Scheinker |
| author_sort | Alexander Scheinker |
| collection | DOAJ |
| description | Abstract Imaging the 6D phase space of a beam in a particle accelerator in a single shot is currently impossible. Single shot beam measurements only exist for certain 2D beam projections and these methods are destructive. A virtual diagnostic that can generate an accurate prediction of a beam’s 6D phase space would be incredibly useful for precisely controlling the beam. In this work, a generative conditional diffusion- based approach to creating a virtual diagnostic of all 15 unique 2D projections of a beam’s 6D phase space is developed. The diffusion process is guided by a combination of scalar parameters and images that are converted to low-dimensional latent vector representation by a variational autoencoder (VAE). We demonstrate that conditional diffusion guided by a VAE (cDVAE) can accurately reconstruct all 15 of the unique 2D projections of a charged particle beam’s 6D phase space for the HiRES compact accelerator. |
| format | Article |
| id | doaj-art-a2e5a96d19f3437e98dd8e4d12107afb |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-a2e5a96d19f3437e98dd8e4d12107afb2025-08-20T02:49:17ZengNature PortfolioScientific Reports2045-23222024-11-0114111610.1038/s41598-024-80751-1cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnosticsAlexander Scheinker0Applied Electrodynamics Group, Los Alamos National LaboratoryAbstract Imaging the 6D phase space of a beam in a particle accelerator in a single shot is currently impossible. Single shot beam measurements only exist for certain 2D beam projections and these methods are destructive. A virtual diagnostic that can generate an accurate prediction of a beam’s 6D phase space would be incredibly useful for precisely controlling the beam. In this work, a generative conditional diffusion- based approach to creating a virtual diagnostic of all 15 unique 2D projections of a beam’s 6D phase space is developed. The diffusion process is guided by a combination of scalar parameters and images that are converted to low-dimensional latent vector representation by a variational autoencoder (VAE). We demonstrate that conditional diffusion guided by a VAE (cDVAE) can accurately reconstruct all 15 of the unique 2D projections of a charged particle beam’s 6D phase space for the HiRES compact accelerator.https://doi.org/10.1038/s41598-024-80751-1 |
| spellingShingle | Alexander Scheinker cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnostics Scientific Reports |
| title | cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnostics |
| title_full | cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnostics |
| title_fullStr | cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnostics |
| title_full_unstemmed | cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnostics |
| title_short | cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnostics |
| title_sort | cdvae vae guided diffusion for particle accelerator beam 6d phase space projection diagnostics |
| url | https://doi.org/10.1038/s41598-024-80751-1 |
| work_keys_str_mv | AT alexanderscheinker cdvaevaeguideddiffusionforparticleacceleratorbeam6dphasespaceprojectiondiagnostics |