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Flavor Tagging Efficiency Parametrisations with Graph Neural Networks
The identification of jets containing $b$-hadrons is obtained through dedicated flavour-tagging algorithms and is crucial for the physics program of the ATLAS experiment. The performance of the flavour-tagging algorithm is such that the statistical precision of the simulated samples is reduced when...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2825433 |