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Search for tbH$^+(\tau\tau)$ with Performance Optimisation for Signal and Background Separation Using Machine Learning with ATLAS Data
The search for charged Higgs bosons, predicted by the Two Doublet Higgs Model and the Minimal Supersymmetric extension of the Standard Model, is challenging because of a large number of background processes and the unknown mass of the charged Higgs bosons. This thesis proposes to use machine learnin...
Autor principal: | Rames, Martin |
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Lenguaje: | eng |
Publicado: |
2023
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2862250 |
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