Cargando…
Calibration of the light jet mistag rate of the ATLAS $b$-tagger using $Z$+jets events
Many analyses in ATLAS rely on the identification of jets containing $b$-hadrons ($b$-jets). The corresponding algorithms are referred to as $b$-taggers. A deep neural network based b-tagger, DL1r, has been widely used in ATLAS Run 2 physics analyses. Its performance needs to be measured in data to...
Autores principales: | Pereira Sanchez, Laura, ATLAS Collaboration |
---|---|
Lenguaje: | eng |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2815940 |
Ejemplares similares
-
Calibration of light-flavour $b$-jet mistagging rates using ATLAS proton-proton collision data at $\sqrt{s}=13$~TeV
por: The ATLAS collaboration
Publicado: (2018) -
Performance of $W$/$Z$ taggers using UFO jets in ATLAS
por: The ATLAS collaboration
Publicado: (2021) -
Optimisation of the smoothing of $b$-jet identification efficiency and mistag rate simulation-to-data scale factors in ATLAS
por: The ATLAS collaboration
Publicado: (2020) -
A W/Z-boson tagger using Track-CaloCluster jets with ATLAS
por: The ATLAS collaboration
Publicado: (2020) -
Calibration of the light-flavour jet mistagging efficiency of the $b$-tagging algorithms with $Z$+jets events using 139 $\mathrm{fb}^{-1}$ of ATLAS proton-proton collision data at $\sqrt{s} = 13$ TeV
por: Aad, Georges, et al.
Publicado: (2023)