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New techniques for jet calibration with the ATLAS detector ATLAS Collaboration
Abstract
A determination of the jet energy scale is presented using proton–proton collision data with a centre-ofmass energy of √s = 13 TeV, corresponding to an integrated luminosity of 140 fb−1 collected using the ATLAS detector at the LHC. Jets are reconstructed using the ATLAS particleflow method that combines charged-particle tracks and topoclusters formed from energy deposits in the calorimeter cells. The anti-kt jet algorithm with radius parameter R = 0.4 is used to define the jet. Novel jet energy scale calibration strategies developed for the LHC Run 2 are reported that lay the foundation for the jet calibration in Run 3. Jets are calibrated with a series of simulation-based corrections, including stateof-the-art techniques in jet calibration such as machine learning methods and novel in situ calibrations to achieve better performance than the baseline calibration derived using up to 81 fb−1 of Run 2 data. The performance of these new techniques is then examined in the in situ measurements by exploiting the transverse momentum balance between a jet and a reference object. The b-quark jet energy scale using particle flow jets is measured for the first time with around 1% precision using γ +jet events.
Item Metadata
Title |
New techniques for jet calibration with the ATLAS detector
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Creator | |
Publisher |
Springer Berlin Heidelberg
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Date Issued |
2023-08-29
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Description |
A determination of the jet energy scale is presented using proton–proton collision data with a centre-ofmass energy of √s = 13 TeV, corresponding to an integrated
luminosity of 140 fb−1 collected using the ATLAS detector
at the LHC. Jets are reconstructed using the ATLAS particleflow method that combines charged-particle tracks and topoclusters formed from energy deposits in the calorimeter cells.
The anti-kt jet algorithm with radius parameter R = 0.4 is
used to define the jet. Novel jet energy scale calibration strategies developed for the LHC Run 2 are reported that lay the
foundation for the jet calibration in Run 3. Jets are calibrated
with a series of simulation-based corrections, including stateof-the-art techniques in jet calibration such as machine learning methods and novel in situ calibrations to achieve better
performance than the baseline calibration derived using up
to 81 fb−1 of Run 2 data. The performance of these new
techniques is then examined in the in situ measurements by
exploiting the transverse momentum balance between a jet
and a reference object. The b-quark jet energy scale using
particle flow jets is measured for the first time with around
1% precision using γ +jet events.
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Genre | |
Type | |
Language |
eng
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Date Available |
2023-11-08
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution 4.0 International (CC BY 4.0)
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DOI |
10.14288/1.0437558
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URI | |
Affiliation | |
Citation |
The European Physical Journal C. 2023 Aug 29;83(8):761
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Publisher DOI |
10.1140/epjc/s10052-023-11837-9
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Copyright Holder |
The Author(s)
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution 4.0 International (CC BY 4.0)