__smbhome.uscs.susx.ac.uk_bw233_Desktop_SRO_SRO - ATLAS_Received 01-11-17_10.1140-epjc-s10052-017-5031-2.pdf (7.36 MB)
Jet reconstruction and performance using particle flow with the ATLAS Detector
journal contribution
posted on 2023-06-09, 08:32 authored by Benedict AllbrookeBenedict Allbrooke, Lily AsquithLily Asquith, Alessandro CerriAlessandro Cerri, C A Chavez Barajas, Antonella De SantoAntonella De Santo, Fabrizio SalvatoreFabrizio Salvatore, I Santoyo Castillo, K Suruliz, Mark SuttonMark Sutton, Iacopo Vivarelli, The ATLAS CollaborationThis paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb -1-1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.
Funding
ATLAS; G0275; STFC-SCIENCE AND TECHNOLOGY FACILITIES COUNCIL; ST/I006048/1
History
Publication status
- Published
File Version
- Published version
Journal
The European Physical Journal C - Particles and FieldsISSN
1434-6044Publisher
Springer VerlagExternal DOI
Issue
466Volume
77Department affiliated with
- Physics and Astronomy Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-11-01First Open Access (FOA) Date
2017-11-01First Compliant Deposit (FCD) Date
2017-11-01Usage metrics
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