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Machine Learning in Fast Beam Diagnositcs
In accelerator physics, detailed studies of beam often require disruptive measurement and take a long time to perform. This includes the measurement of the emittance where a quadruple scan is needed. In this report, a method using machine learning of fast emittance estimation is introduced. Using th...
Autor principal: | Ling, Jerry |
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Lenguaje: | eng |
Publicado: |
2019
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2686696 |
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