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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	1272
Journal	European Physical Journal C
Volume	85
Issue number	11
DOIs	https://doi.org/10.1140/epjc/s10052-025-14682-0
Publication status	Published - Nov 2025

ASJC Scopus subject areas

Engineering (miscellaneous)
Physics and Astronomy (miscellaneous)

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10.1140/epjc/s10052-025-14682-0

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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 = "ATLAS Collaboration and L. Zwalinski and W. Zou and O. Zormpa and Zorbas, \{T. G.\} and K. Zoch and A. Zoccoli and L. {\v Z}ivkovi{\'c} and M. Ziolkowski and J. Zinsser and Zimine, \{N. I.\} and K. Zhukov and X. Zhuang and Y. Zhu and Y. Zhu and X. Zhu and J. Zhu and Zhu, \{C. G.\} and Y. Zhou and Y. Zhou and Y. Zhou and N. Zhou and H. Zhou and B. Zhou and D. Zhong and Z. Zheng and X. Zheng and K. Zheng and J. Zheng and A. Zhemchugov and Z. Zhao and Z. Zhao and Y. Zhao and T. Zhao and H. Zhao and Z. Zhang and Z. Zhang and Z. Zhang and Y. Zhang and Y. Zhang and Y. Zhang and X. Zhang and T. Zhang and S. Zhang and S. Zhang and R. Zhang and P. Zhang and L. Truong and N. Govender and Gololo, \{M. G.D.\} and Connell, \{S. H.\}",

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",

language = "English",

volume = "85",

journal = "European Physical Journal C",

issn = "1434-6044",

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AU - ATLAS Collaboration

AU - Zwalinski, L.

AU - Zou, W.

AU - Zormpa, O.

AU - Zorbas, T. G.

AU - Zoch, K.

AU - Zoccoli, A.

AU - Živković, L.

AU - Ziolkowski, M.

AU - Zinsser, J.

AU - Zimine, N. I.

AU - Zhukov, K.

AU - Zhuang, X.

AU - Zhu, Y.

AU - Zhu, X.

AU - Zhu, J.

AU - Zhu, C. G.

AU - Zhou, Y.

AU - Zhou, N.

AU - Zhou, H.

AU - Zhou, B.

AU - Zhong, D.

AU - Zheng, Z.

AU - Zheng, X.

AU - Zheng, K.

AU - Zheng, J.

AU - Zhemchugov, A.

AU - Zhao, Z.

AU - Zhao, Y.

AU - Zhao, T.

AU - Zhao, H.

AU - Zhang, Z.

AU - Zhang, Y.

AU - Zhang, X.

AU - Zhang, T.

AU - Zhang, S.

AU - Zhang, R.

AU - Zhang, P.

AU - Truong, L.

AU - Govender, N.

AU - Gololo, M. G.D.

AU - Connell, S. H.

PY - 2025/11

Y1 - 2025/11

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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VL - 85

JO - European Physical Journal C

JF - European Physical Journal C

IS - 11

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ER -

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

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