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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...

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Detalles Bibliográficos
Autor principal: Armando Di Belloon, Francesco
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1393/ncc/i2021-21041-6
http://cds.cern.ch/record/2791319
Descripción
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.