en
Scientific article
Open access
English

New techniques for jet calibration with the ATLAS detector

ContributorsATLAS Collaboration
Published inEuropean physical journal. C, Particles and fields, vol. 83, no. 8, 761
Publication date2023
First online date2023-08-29
Abstract

A determination of the jet energy scale is presented using proton–proton collision data with a centre-of-mass energy of $\sqrt{s}=13$ TeV, corresponding to an integrated luminosity of 140 fb$^{-1}$ collected using the ATLAS detector at the LHC. Jets are reconstructed using the ATLAS particle-flow method that combines charged-particle tracks and topo-clusters formed from energy deposits in the calorimeter cells. The anti-$k_\textrm{t}$ 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 state-of-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 $\gamma $+jet events.

eng
Keywords
  • P p: scattering
  • P p: colliding beams
  • Jet: calibration
  • Track data analysis: jet
  • Charged particle: tracks
  • ATLAS
  • CERN LHC Coll
  • Particle flow
  • Performance
  • Transverse momentum
  • Machine learning
  • Neural network
  • Calorimeter
  • Data analysis method
  • Numerical calculations: Monte Carlo
  • Experimental results
  • 13000 GeV-cms
Citation (ISO format)
ATLAS Collaboration. New techniques for jet calibration with the ATLAS detector. In: European physical journal. C, Particles and fields, 2023, vol. 83, n° 8, p. 761. doi: 10.1140/epjc/s10052-023-11837-9
Main files (1)
Article (Published version)
Identifiers
ISSN of the journal1434-6044
13views
2downloads

Technical informations

Creation05/28/2024 3:50:15 PM
First validation06/03/2024 12:27:32 PM
Update time06/03/2024 12:27:32 PM
Status update06/03/2024 12:27:32 PM
Last indexation06/03/2024 12:27:52 PM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack