Article

A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators

2024-04-09

Abstract excerpt

<title>Abstract</title> <p>Particle accelerators are complex systems that focus, guide, and accelerate intense charged particle beams to high energy. Beam diagnostics present a challenging problem due to limited non-destructive measurements, computationally demanding simulations, and inherent uncertainties in the system. We propose a two-step unsupervised deep learning framework named as Conditional Latent Autore...

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Literature Corpus work: b42a4195-35cc-5a07-8000-4281cba00c04
DOI: 10.21203/rs.3.rs-4183897/v1

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