A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps
European Physical Journal C, vol.85, no.11, 2025 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 85 Issue: 11
- Publication Date: 2025
- Doi Number: 10.1140/epjc/s10052-025-14682-0
- Journal Name: European Physical Journal C
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Chemical Abstracts Core, Compendex, INSPEC, zbMATH, Directory of Open Access Journals, Nature Index
- Open Archive Collection: Article
- Azerbaijan State University of Economics (UNEC) Affiliated: No
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 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.