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Optimization of ttH¯ Signal and Background Separation Using Machine Learning in the 2lSS1tau Channel
Machine learning techniques have proven the potential to improve the separation of signal and background events in High Energy Physics (HEP) data. This study focuses on the optimization of the ttH¯ production measurement in the analysis channel with two same electrically charged light leptons and on...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2836425 |