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

Physics

iThemba Labs
Department of Physics
University of South Africa
University of Zululand
Cadi Ayyad University
Departamento de Física Teórica y del Cosmos
University of Granada
CERN
Columbia University
Demokritos National Centre for Scientific Research
University of Sheffield
Harvard University
University of Bologna
National Institute for Nuclear Physics
University of Belgrade
University of Siegen
Heidelberg University
Indiana University Bloomington
CAS - Institute of High Energy Physics
University of Science and Technology of China
Shanghai Jiao Tong University
University of Michigan, Ann Arbor
Shandong University
University of Arizona
Nanjing University
Tsinghua University
University of Illinois at Urbana-Champaign
SLAC National Accelerator Laboratory
University of California at Santa Cruz
University of Washington
Université Paris-Saclay
Lawrence Berkeley National Laboratory
University College London
The University of Tokyo
Université Toulouse III - Paul Sabatier
University of Wisconsin-Madison
University of Chinese Academy of Sciences

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

1 Scopus citations

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
State	Published - Nov 2025

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10.1140/epjc/s10052-025-14682-0

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@article{f050e54aa9af4441a05458d98a039531,

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. Zhang and L. Zhang and K. Zhang and \{Mc Lean\}, \{C. A.\}",

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

year = "2025",

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

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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 - Zhang, L.

AU - Zhang, K.

AU - Mc Lean, C. A.

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.

UR - https://www.scopus.com/pages/publications/105023226792

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VL - 85

JO - European Physical Journal C

JF - European Physical Journal C

IS - 11

M1 - 1272

ER -

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

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