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

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Abstract

A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, contin-
uous 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 t ¯t → 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.
Original languageEnglish
Article number1272
Pages (from-to)1-44
Number of pages44
JournalThe European Physical Journal C
Volume85
Issue number11
DOIs
Publication statusPublished - 10 Nov 2025

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