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Machine learning-based identification for ttH→invisible
To measure the Higgs→invisible BR in the ttH channel, we wish to improve signal to background ratio as larger as possible. One method worth considering is using machine learning to build a multi-class classifier to identify different types of events(ttH, 𝑡𝑡̅ and QCD are considered in this project)....
Autores principales: | Gu, Xubo, Krikler, Benjamin, Davignon, Olivier |
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Lenguaje: | eng |
Publicado: |
2018
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2636047 |
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