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cDVAE: Multimodal Generative Conditional Diffusion Guided by Variational Autoencoder Latent Embedding for Virtual 6D Phase Space Diagnostics  

2024-09-06

Abstract excerpt

<title>Abstract</title> <p>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 generati...

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Literature Corpus work
e84301d4-6eb2-5854-8c59-60e497a27637
DOI
10.21203/rs.3.rs-4857194/v1
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cDVAE: Multimodal Generative Conditional Diffusion Guided by Variational Autoencoder Latent Embedding for Virtual 6D Phase Space DiagnosticsDOI 10.21203/rs.3.rs-4857194/v1
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