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Improving Four-Top-Quark Event Classification with Deep Learning Techniques using ATLAS Simulation
A study on the potential of different types of Deep Neural Networks as classifiers for four-top-quark production is presented. The used data are ATLAS simulated proton-proton collisions at a centre-of-mass energy of 13 TeV. Events are selected if they contain a same-sign lepton pair. A Feedforward N...
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| Lenguaje: | eng |
| Publicado: |
2021
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| Acceso en línea: | http://cds.cern.ch/record/2751676 |