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Reconstruction improvements for the measurements of the $H \to b$ decay at the ATLAS experiment
The observation of the Higgs boson Yukawa coupling to bottom quarks announced by the ATLAS and CMS experiments in 2018 is one of the most remarkable results obtained at the LHC so far. The main challenge faced to achieve this measurement is the presence of overwhelming backgrounds, which can be grea...
Autor principal: | |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1393/ncc/i2021-21041-6 http://cds.cern.ch/record/2791319 |
Sumario: | The observation of the Higgs boson Yukawa coupling to bottom
quarks announced by the ATLAS and CMS experiments in 2018 is one of the most
remarkable results obtained at the LHC so far. The main challenge faced to achieve
this measurement is the presence of overwhelming backgrounds, which can be greatly
reduced requiring two jets initiated by bottom quarks in the final state. Since the
time of the observation, the ATLAS Collaboration is pursuing a large experimental
effort to improve the heavy-flavoured jets identification techniques. In this context,
recent developments exploiting machine-learning algorithms will be presented. |
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