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

G. Aad; T.P.A. Åkesson; K.S.V. Astrand; C. Doglioni; P.A. Ekman; V. Hedberg; H. Herde; B. Konya; E. Lytken; R. Poettgen; O. Smirnova; E.J. Wallin; L. Zwalinski; ATLAS Collaboration

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

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

G. Aad, T.P.A. Åkesson, K.S.V. Astrand, C. Doglioni, P.A. Ekman, V. Hedberg, H. Herde, B. Konya, E. Lytken, R. Poettgen, O. Smirnova, E.J. Wallin, L. Zwalinski, ATLAS Collaboration

Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

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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. © CERN for the benefit of the ATLAS Collaboration 2025.

Originalspråk	engelska
Artikelnummer	1272
Tidskrift	European Physical Journal C
Volym	85
Nummer	11
DOI	https://doi.org/10.1140/epjc/s10052-025-14682-0
Status	Published - 2025

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Aad, G., Åkesson, T. P. A., Astrand, K. S. V., Doglioni, C., Ekman, P. A., Hedberg, V., Herde, H., Konya, B., Lytken, E., Poettgen, R., Smirnova, O., Wallin, E. J., Zwalinski, L., & ATLAS Collaboration (2025). A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps. European Physical Journal C, 85(11), Artikel 1272. https://doi.org/10.1140/epjc/s10052-025-14682-0

@article{4b2cb95c34794dcda7e8e9eeb1073f2d,

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. {\textcopyright} CERN for the benefit of the ATLAS Collaboration 2025.",

keywords = "Classification (of information), Colliding beam accelerators, Fighter aircraft, High energy physics, Maps, Microstrip devices, Calibration procedure, Continuous calibrations, High-dimensional, Higher-dimensional, Large Hadron Collider, Large-hadron colliders, Optimal transportations, Proton proton collisions, Calibration",

author = "G. Aad and T.P.A. {\AA}kesson and K.S.V. Astrand and C. Doglioni and P.A. Ekman and V. Hedberg and H. Herde and B. Konya and E. Lytken and R. Poettgen and O. Smirnova and E.J. Wallin and L. Zwalinski and \{ATLAS Collaboration\}",

year = "2025",

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

language = "English",

volume = "85",

journal = "European Physical Journal C",

issn = "1434-6044",

publisher = "Springer Nature",

number = "11",

}

Aad, G, Åkesson, TPA , Astrand, KSV, Doglioni, C, Ekman, PA, Hedberg, V , Herde, H , Konya, B , Lytken, E , Poettgen, R , Smirnova, O , Wallin, EJ, Zwalinski, L & ATLAS Collaboration 2025, 'A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps', European Physical Journal C, vol. 85, nr. 11, 1272. https://doi.org/10.1140/epjc/s10052-025-14682-0

TY - JOUR

T1 - A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps

AU - Aad, G.

AU - Åkesson, T.P.A.

AU - Astrand, K.S.V.

AU - Doglioni, C.

AU - Ekman, P.A.

AU - Hedberg, V.

AU - Herde, H.

AU - Konya, B.

AU - Lytken, E.

AU - Poettgen, R.

AU - Smirnova, O.

AU - Wallin, E.J.

AU - Zwalinski, L.

AU - ATLAS Collaboration

PY - 2025

Y1 - 2025

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. © CERN for the benefit of the ATLAS Collaboration 2025.

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. © CERN for the benefit of the ATLAS Collaboration 2025.

KW - Classification (of information)

KW - Colliding beam accelerators

KW - Fighter aircraft

KW - High energy physics

KW - Maps

KW - Microstrip devices

KW - Calibration procedure

KW - Continuous calibrations

KW - High-dimensional

KW - Higher-dimensional

KW - Large Hadron Collider

KW - Large-hadron colliders

KW - Optimal transportations

KW - Proton proton collisions

KW - Calibration

U2 - 10.1140/epjc/s10052-025-14682-0

DO - 10.1140/epjc/s10052-025-14682-0

M3 - Article

SN - 1434-6044

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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