A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps

  • ATLAS Collaboration

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

Resumen

A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the b-jet, c-jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for b-jets using tt¯→eμννbb data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks.

Idioma originalInglés
Número de artículo1272
PublicaciónEuropean Physical Journal C
Volumen85
N.º11
DOI
EstadoPublicada - nov. 2025

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