期刊
EUROPEAN PHYSICAL JOURNAL C
卷 77, 期 7, 页码 -出版社
SPRINGER
DOI: 10.1140/epjc/s10052-017-5031-2
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- ANPCyT, Argentina
- YerPhI, Armenia
- ARC, Australia
- BMWFW, Austria
- FWF, Austria
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- CNPq, Brazil
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- CERN
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- CAS, China
- MOST, China
- NSFC, China
- COLCIENCIAS, Colombia
- MSMT CR, Czech Republic
- MPO CR, Czech Republic
- VSC CR, Czech Republic
- DNRF, Denmark
- DNSRC, Denmark
- IN2P3-CNRS, France
- CEA-DSM/IRFU, France
- SRNSF, Georgia
- BMBF, Germany
- HGF, Germany
- MPG, Germany
- GSRT, Greece
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- Benoziyo Center, Israel
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- RCN, Norway
- MNiSW, Poland
- NCN, Poland
- FCT, Portugal
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- Russian Federation
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- Cantons of Bern, Switzerland
- Geneva, Switzerland
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- DOE, USA
- NSF, USA
- BCKDF
- Canada Council, Canada
- CANARIE, Canada
- CRC, Canada
- Compute Canada, Canada
- FQRNT, Canada
- Ontario Innovation Trust, Canada
- EPLANET, European Union
- ERC, European Union
- ERDF, European Union
- FP7, European Union
- Horizon, European Union
- Marie Sklodowska-Curie Actions, European Union
- Investissements d'Avenir Labex, France
- Idex, France
- ANR, France
- Region Auvergne, France
- Fondation Partager le Savoir, France
- DFG, Germany
- AvH Foundation, Germany
- Herakleitos, Thales
- Aristeia programmes - EU-ESF
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- GIF, Israel
- Minerva, Israel
- BRF, Norway
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- Generalitat Valenciana, Spain
- Royal Society, UK
- Leverhulme Trust, UK
- Fundação para a Ciência e a Tecnologia [CERN/FIS-NUC/0005/2015] Funding Source: FCT
- Science and Technology Facilities Council [ST/L005662/1, ST/N000331/1, ST/L001144/1, GRIDPP, 1653101, ST/K003666/1, ATLAS, ST/N000277/1, ST/H001158/2, ST/H001158/1, ST/M001431/1, ST/N000234/1, ST/M006417/1, PP/E000452/1, ST/K001361/1, ST/I005846/1, 1366825] Funding Source: researchfish
- Direct For Mathematical & Physical Scien
- Division Of Physics [1624739] Funding Source: National Science Foundation
- STFC [ST/N000277/1, PP/E000452/1, ST/K003666/1, ST/K001361/1, ST/L001144/1, ST/N000331/1, ST/H001158/2, ST/P002439/1, ST/I005846/1, ST/M006417/1, 1653101, ST/N000234/1, ST/H001158/1, ST/M001431/1, ST/L005662/1] Funding Source: UKRI
This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb(-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.
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