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Further Improvements to AngryTops: A machine learning package for the reconstruction of top-quark pair decay kinematics
Studies of the top quark provide unique insights into the Standard Model due to its large mass. However, the kinematics of $t\bar{t}$ decays is difficult to reconstruct due to the complexity of these events and limited detector resolution. Neural networks are thought to perform as well as state-of-t...
Autores principales: | Sinervo, Pekka, Chan, Darren Zeming, Wang, Maggie Fen |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2779147 |
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