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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Light-quark and gluon jet discrimination in pp collisions at s√=7 TeV with the ATLAS detector
AU - Allison, Lee
AU - Barton, Adam
AU - Borissov, Guennadi
AU - Bouhova-Thacker, Eva
AU - Chilingarov, Alexandre
AU - Dearnaley, William
AU - Fox, Harald
AU - Grimm, Kathryn
AU - Henderson, Robert
AU - Hughes, Gareth
AU - Jones, Roger William Lewis
AU - Kartvelishvili, Vakhtang
AU - Long, Robin
AU - Love, Peter
AU - Maddocks, Harvey
AU - Smizanska, Maria
AU - Walder, James
AU - The ATLAS collaboration
N1 - EPJC is an open-access journal funded by SCOAP3 and licensed under CC BY 4.0
PY - 2014/8/21
Y1 - 2014/8/21
N2 - A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb −1 of proton–proton collision data at s√=7 TeV collected with the ATLAS detector at the LHC. Data samples with enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of ≈ 10–20 %. In data, light-quark jets can be tagged with an efficiency of ≈50% while achieving a gluon-jet mis-tag rate of ≈25% in a pT range between 40 GeV and 360 GeV for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6 Monte Carlo simulation, where gluon-jet mis-tag rates of 10 % can be reached for a 50 % selection efficiency of light-quark jets using the same jet properties.
AB - A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb −1 of proton–proton collision data at s√=7 TeV collected with the ATLAS detector at the LHC. Data samples with enriched quark or gluon content are used in the construction and validation of templates of jet properties that are the input to the likelihood-based discriminant. The discriminating power of the jet tagger is established in both data and Monte Carlo samples within a systematic uncertainty of ≈ 10–20 %. In data, light-quark jets can be tagged with an efficiency of ≈50% while achieving a gluon-jet mis-tag rate of ≈25% in a pT range between 40 GeV and 360 GeV for jets in the acceptance of the tracker. The rejection of gluon-jets found in the data is significantly below what is attainable using a Pythia 6 Monte Carlo simulation, where gluon-jet mis-tag rates of 10 % can be reached for a 50 % selection efficiency of light-quark jets using the same jet properties.
U2 - 10.1140/epjc/s10052-014-3023-z
DO - 10.1140/epjc/s10052-014-3023-z
M3 - Journal article
VL - 74
JO - European Physical Journal C: Particles and Fields
JF - European Physical Journal C: Particles and Fields
SN - 1434-6044
IS - 8
M1 - 3023
ER -