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Artificial Intelligence-Assisted Beam Distribution Imaging Using a Single Multimode Fiber at CERN
In the framework of developing radiation tolerant imaging detectors for transverse beam diagnostics, the use of machine learning powered imaging using optical fibers is explored for the first time at CERN. This paper presents the pioneering work of using neural networks to reconstruct the scintillat...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.18429/JACoW-IPAC2022-MOPOPT041 http://cds.cern.ch/record/2845826 |