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Deep-Neural-Network-based b-Tagging as Basis for Improvements in Top Analyses
Analyses involving top quarks are characterised by the presence of several b-jets in the final state. An efficient discrimination between b- and non-b-jets is crucial in order to select the signal processes and reject the physics background. Developments in the field of machine-learning in the recen...
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| Lenguaje: | eng |
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2019
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| Acceso en línea: | http://cds.cern.ch/record/2693088 |