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

ATLAS Collaboration

doi:10.1140/epjc/s10052-025-14682-0

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

ATLAS Collaboration

Instituto de Alta Investigación

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Zhengzhou University
Istanbul University
King's College London

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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 original	Inglés
Número de artículo	1272
Publicación	European Physical Journal C
Volumen	85
N.º	11
DOI	https://doi.org/10.1140/epjc/s10052-025-14682-0
Estado	Publicada - nov 2025

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title = "A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps",

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.",

author = "L. Zwalinski and W. Zou and O. Zormpa and Zorbas, \{T. G.\} and S. Kabana and \{ATLAS Collaboration\}",

note = "Publisher Copyright: {\textcopyright} CERN for the benefit of the ATLAS Collaboration 2025.",

year = "2025",

month = nov,

doi = "10.1140/epjc/s10052-025-14682-0",

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AU - Zou, W.

AU - Zormpa, O.

AU - Zorbas, T. G.

AU - Kabana, S.

AU - ATLAS Collaboration

PY - 2025/11

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N2 - 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.

AB - 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.

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JO - European Physical Journal C

JF - European Physical Journal C

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

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