A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps
- NázevTitle
- A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation mapsA continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps
- Druh výsledkuResult type
- Článek v časopiseJournal article
- AutořiAuthors
- L. Zwalinski, W. Zou, O. Zormpa, T.G. Zorbas, O. Zaplatílek, P. Vokáč, V. Vacek, A. Sopczak, K. Smolek, S. Pospíšil, V. Petousis, L. Novotný, M. Myška, S. Mondal, Z. Hubáček, P. Fiedler, H. Day-Hall, B. Bergmann, K. Augsten, B. Ali
- DOIDOI
- 10.1140/epjc/s10052-025-14682-0
- Časopis / citaceJournal / citation
- European Physical Journal C. 2025, 85(11), ISSN 1434-6044.
- RokYear
- 2025
- JazykLanguage
- eng
- WoSWoS
- 001645228600001
- ScopusScopus
- 2-s2.0-105023226792
- RIVRIV
- RIV/68407700:21220/25:00389038!RIV26-MSM-21220___
- ProjektProject
- CERN-CZ III - Výzkumná infrastruktura pro experimenty v CERN - LM2023040 (2023–2026)CERN-CZ III - Výzkumná infrastruktura pro experimenty v CERN - LM2023040 (2023–2026); Výzkum základních stavebních kamenů hmoty s využitím špičkových technologiíFundamental constituents of matter through frontier technologies; Institucionální podpora na rozvoj výzkumné org.Institucionální podpora na rozvoj výzkumné org.
AbstraktAbstract
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 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.
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 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.