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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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| Lenguaje: | eng |
| Publicado: |
2018
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| Acceso en línea: | http://cds.cern.ch/record/2621556 |