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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...

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Detalles Bibliográficos
Autor principal: Krause, Johannes
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:http://cds.cern.ch/record/2804526

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