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tt̄H Events Classification with Graph Neural Networks in 2L(SS)+1τHad Channel
Particle physics experiments at the Large Hadron Collider (LHC) require robust methods to distinguish between signal and background events. This study focuses on the classification of tt̄H events in the 2L(SS)+1τHad channel using machine learning techniques. Specifically, we compared the performance...
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| Lenguaje: | eng |
| Publicado: |
2023
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| Acceso en línea: | http://cds.cern.ch/record/2871596 |