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Improving the $t\bar{t}t\bar{t}$ event selection with Graph Neural Networks in multilepton final states at the ATLAS detector
A study on the use of Graph Neural Networks for the selection of$t\bar{t}t\bar{t}$ events in the ATLAS detector is presented. Data used is the Monte-Carlo simulated proton-proton collision events at $\sqrt{s} = 13$ TeV. The analysis is only concerned with the same-sign multilepton channel. After opt...
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| Lenguaje: | eng |
| Publicado: |
2022
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| Acceso en línea: | http://cds.cern.ch/record/2802704 |