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Jet flavour tagging for the ATLAS Experiment

Jet flavour tagging for the ATLAS Experiment The ability to identify jets stemming from the hadronisation of b-quarks (b-jets) is crucial for the physics program of ATLAS. The higher pileup conditions and the growing interest for measurements including c-jets and for searches in the high transverse...

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Detalles Bibliográficos
Autor principal: Shlomi, Jonathan
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2782011
Descripción
Sumario:Jet flavour tagging for the ATLAS Experiment The ability to identify jets stemming from the hadronisation of b-quarks (b-jets) is crucial for the physics program of ATLAS. The higher pileup conditions and the growing interest for measurements including c-jets and for searches in the high transverse momentum regime make the task more and more complex. The algorithms responsible for establishing the jet’s flavour are evolving quickly, exploiting powerful multivariate and deep machine learning techniques. Flavour-tagging techniques in ATLAS will be reviewed, presenting the state-of-the-art in terms of algorithms.