Physics-constrained superresolution diffusion for six-dimensional phase space diagnostics

Adaptive physics-constrained superresolution diffusion is developed for noninvasive virtual diagnostics of the six-dimensional (6D) phase space density of charged particle beams. An adaptive variational autoencoder embeds initial beam condition images and scalar measurements to a low-dimensional lat...

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Main Author: Alexander Scheinker
Format: Article
Language:English
Published: American Physical Society 2025-04-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.7.023091
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author Alexander Scheinker
author_facet Alexander Scheinker
author_sort Alexander Scheinker
collection DOAJ
description Adaptive physics-constrained superresolution diffusion is developed for noninvasive virtual diagnostics of the six-dimensional (6D) phase space density of charged particle beams. An adaptive variational autoencoder embeds initial beam condition images and scalar measurements to a low-dimensional latent space from which a 32^{6} pixel 6D tensor representation of the beam's 6D phase space density is generated. Projecting from a 6D tensor generates physically consistent two-dimensional projections. Physics-guided superresolution diffusion transforms low-resolution images of the 6D density to high resolution 256×256 pixel images. Unsupervised adaptive latent space tuning enables tracking of time-varying beams without knowledge of time-varying initial conditions. The method is demonstrated with experimental data and multiparticle simulations at the HiRES UED. The general approach is applicable to a wide range of complex dynamic systems evolving in high-dimensional phase space. The method is shown to be robust to distribution shift without retraining.
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spelling doaj-art-9271a00c2ee44fae8679e2fd757b0fea2025-08-20T03:13:32ZengAmerican Physical SocietyPhysical Review Research2643-15642025-04-017202309110.1103/PhysRevResearch.7.023091Physics-constrained superresolution diffusion for six-dimensional phase space diagnosticsAlexander ScheinkerAdaptive physics-constrained superresolution diffusion is developed for noninvasive virtual diagnostics of the six-dimensional (6D) phase space density of charged particle beams. An adaptive variational autoencoder embeds initial beam condition images and scalar measurements to a low-dimensional latent space from which a 32^{6} pixel 6D tensor representation of the beam's 6D phase space density is generated. Projecting from a 6D tensor generates physically consistent two-dimensional projections. Physics-guided superresolution diffusion transforms low-resolution images of the 6D density to high resolution 256×256 pixel images. Unsupervised adaptive latent space tuning enables tracking of time-varying beams without knowledge of time-varying initial conditions. The method is demonstrated with experimental data and multiparticle simulations at the HiRES UED. The general approach is applicable to a wide range of complex dynamic systems evolving in high-dimensional phase space. The method is shown to be robust to distribution shift without retraining.http://doi.org/10.1103/PhysRevResearch.7.023091
spellingShingle Alexander Scheinker
Physics-constrained superresolution diffusion for six-dimensional phase space diagnostics
Physical Review Research
title Physics-constrained superresolution diffusion for six-dimensional phase space diagnostics
title_full Physics-constrained superresolution diffusion for six-dimensional phase space diagnostics
title_fullStr Physics-constrained superresolution diffusion for six-dimensional phase space diagnostics
title_full_unstemmed Physics-constrained superresolution diffusion for six-dimensional phase space diagnostics
title_short Physics-constrained superresolution diffusion for six-dimensional phase space diagnostics
title_sort physics constrained superresolution diffusion for six dimensional phase space diagnostics
url http://doi.org/10.1103/PhysRevResearch.7.023091
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