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Efficiency Improvements Using Machine Learning in Event Generators for the LHC
In particle physics, event generators play an important role in connecting theoretical predictions with experimental results. Especially for experimental issues one often wants to generate events which follow a probability distribution based on the underlying physics. The generation of such events i...
Autor principal: | Krause, Johannes |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2804526 |
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