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Feasibility Study for a search for ttHH in the Boosted bbbb Channel at CMS
A novel ROOT RDataFrame based network is used to look for the boosted 4b end state of the ttHH process. The search is performed using both cut based and a machine learning based versions of the analysis, although a final result is only successfully extracted from the cut based version. The expected...
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2837033 |
Sumario: | A novel ROOT RDataFrame based network is used to look for the boosted 4b end state of the ttHH process. The search is performed using both cut based and a machine learning based versions of the analysis, although a final result is only successfully extracted from the cut based version. The expected significance obtained for the boosted 4b end state, scaled up to the expected HL-LHC integrated luminosity of 3000 f b−1 , is found to be 0.17σ. This is consistent with previous values found by the CMS collaboration for the fully resolved 4b end state |
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