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Application of Machine Learning to Beam Diagnostics
Machine learning (ML) techniques are widely used in science and industry as a powerful tool for data analysis and automation. Currently, in accelerator physics ML is represented as a young research field, demonstrating mixed results in the latest attempts. The presented work is devoted to exploratio...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
JACoW
2019
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.18429/JACoW-IBIC2018-TUOA02 http://cds.cern.ch/record/2716703 |