Ferguson, Ruby (2025) A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps. European Physical Journal C: Particles and Fields, 85 (11): 1272. ISSN 1434-6044
Full text not available from this repository.Abstract
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 $$t\bar{t} \rightarrow e\mu \nu \nu bb$$ t t ¯ → e μ ν ν b b 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.