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Applications of Deep Neural Networks in a Top Quark Mass Measurement at the LHC

In this analysis the usage of deep neural networks for an improved event selection forthe top-quark-mass measurement in the t¯ muon+jets channel for events at the CMS ext√periment for the LHC run II with a center of mass energy s = 13 TeV was investigated.The composition of the event selection with...

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Detalles Bibliográficos
Autor principal: Lange, Torben
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2621556