Light-quark and gluon jet discrimination in pp collisions at √s=7 TeV with the ATLAS detector

The ATLAS collaboration

doi:10.1140/epjc/s10052-014-3023-z

Light-quark and gluon jet discrimination in pp collisions at √s=7 TeV with the ATLAS detector

The ATLAS collaboration

Department of Physics

Aix-Marseille Université
University of Oklahoma
Academia Sinica - Institute of Physics
Université Paris-Sud
Azerbaijan National Academy of Sciences
University of Amsterdam
Oklahoma State University
Michigan State University
University of Toronto
Tel Aviv University
CEA/Saclay
CERN
Stockholm University
University of Udine
King's College London
AGH University of Krakow
Brookhaven National Laboratory
Yale University
Ludwig Maximilian University of Munich
Rutherford Appleton Laboratory
University of Belgrade
Laboratório de Instrumentação e Física Experimental de Partículas
University of Bern
Boston University
Stony Brook University
Joint Institute for Nuclear Research
University of Rome Tor Vergata
Lund University
The University of Tokyo
P.N. Lebedev Physical Institute of the Russian Academy of Sciences
University of Victoria BC
Université Grenoble Alpes
Instituto de Física La Plata
Politehnica University of Timisoara
University of Geneva
National Technical University of Athens
University of Milan
The University of Chicago
University of Birmingham
Lancaster University
University of Liverpool
University of Glasgow
University of Manchester
University of Naples Federico II
University of Copenhagen

Research output: Contribution to journal › Article › peer-review

81 Scopus citations

Abstract

A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb(Formula presented.) of proton–proton collision data at (Formula presented.) 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 (Formula presented.) 10–20 %. In data, light-quark jets can be tagged with an efficiency of (Formula presented.) while achieving a gluon-jet mis-tag rate of (Formula presented.) in a (Formula presented.) range between (Formula presented.) and (Formula presented.) 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.

Original language	English
Article number	3023
Pages (from-to)	1-29
Number of pages	29
Journal	European Physical Journal C
Volume	74
Issue number	8
DOIs	https://doi.org/10.1140/epjc/s10052-014-3023-z
State	Published - Aug 1 2014

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@article{3197f7c0b7f048a2a625dd9248b839bc,

title = "Light-quark and gluon jet discrimination in pp collisions at √s=7 TeV with the ATLAS detector",

abstract = "A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb(Formula presented.) of proton–proton collision data at (Formula presented.) 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 (Formula presented.) 10–20 \%. In data, light-quark jets can be tagged with an efficiency of (Formula presented.) while achieving a gluon-jet mis-tag rate of (Formula presented.) in a (Formula presented.) range between (Formula presented.) and (Formula presented.) 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.",

author = "\{The ATLAS collaboration\} and G. Aad and B. Abbott and J. Abdallah and \{Abdel Khalek\}, S. and O. Abdinov and R. Aben and B. Abi and M. Abolins and AbouZeid, \{O. S.\} and H. Abramowicz and H. Abreu and R. Abreu and Y. Abulaiti and Acharya, \{B. S.\} and L. Adamczyk and Adams, \{D. L.\} and J. Adelman and S. Adomeit and T. Adye and T. Agatonovic-Jovin and Aguilar-Saavedra, \{J. A.\} and M. Agustoni and Ahlen, \{S. P.\} and A. Ahmad and F. Ahmadov and G. Aielli and {\AA}kesson, \{T. P.A.\} and G. Akimoto and Akimov, \{A. V.\} and J. Albert and S. Albrand and \{Alconada Verzini\}, \{M. J.\} and M. Aleksa and Aleksandrov, \{I. N.\} and C. Alexa and G. Alexander and G. Alexandre and T. Alexopoulos and M. Alhroob and G. Alimonti and L. Alio and J. Alison and Allbrooke, \{B. M.M.\} and Allison, \{L. J.\} and Allport, \{P. P.\} and Allwood-Spiers, \{S. E.\} and J. Almond and A. Aloisio and A. Alonso and Nguyen, \{D. H.\}",

note = "Publisher Copyright: {\textcopyright} 2014, The Author(s).",

year = "2014",

month = aug,

day = "1",

doi = "10.1140/epjc/s10052-014-3023-z",

language = "English",

volume = "74",

pages = "1--29",

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issn = "1434-6044",

publisher = "Springer Nature",

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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 - The ATLAS collaboration

AU - Aad, G.

AU - Abbott, B.

AU - Abdallah, J.

AU - Abdel Khalek, S.

AU - Abdinov, O.

AU - Aben, R.

AU - Abi, B.

AU - Abolins, M.

AU - AbouZeid, O. S.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abreu, R.

AU - Abulaiti, Y.

AU - Acharya, B. S.

AU - Adamczyk, L.

AU - Adams, D. L.

AU - Adelman, J.

AU - Adomeit, S.

AU - Adye, T.

AU - Agatonovic-Jovin, T.

AU - Aguilar-Saavedra, J. A.

AU - Agustoni, M.

AU - Ahlen, S. P.

AU - Ahmad, A.

AU - Ahmadov, F.

AU - Aielli, G.

AU - Åkesson, T. P.A.

AU - Akimoto, G.

AU - Akimov, A. V.

AU - Albert, J.

AU - Albrand, S.

AU - Alconada Verzini, M. J.

AU - Aleksa, M.

AU - Aleksandrov, I. N.

AU - Alexa, C.

AU - Alexander, G.

AU - Alexandre, G.

AU - Alexopoulos, T.

AU - Alhroob, M.

AU - Alimonti, G.

AU - Alio, L.

AU - Alison, J.

AU - Allbrooke, B. M.M.

AU - Allison, L. J.

AU - Allport, P. P.

AU - Allwood-Spiers, S. E.

AU - Almond, J.

AU - Aloisio, A.

AU - Alonso, A.

AU - Nguyen, D. H.

PY - 2014/8/1

Y1 - 2014/8/1

N2 - A likelihood-based discriminant for the identification of quark- and gluon-initiated jets is built and validated using 4.7 fb(Formula presented.) of proton–proton collision data at (Formula presented.) 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 (Formula presented.) 10–20 %. In data, light-quark jets can be tagged with an efficiency of (Formula presented.) while achieving a gluon-jet mis-tag rate of (Formula presented.) in a (Formula presented.) range between (Formula presented.) and (Formula presented.) 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(Formula presented.) of proton–proton collision data at (Formula presented.) 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 (Formula presented.) 10–20 %. In data, light-quark jets can be tagged with an efficiency of (Formula presented.) while achieving a gluon-jet mis-tag rate of (Formula presented.) in a (Formula presented.) range between (Formula presented.) and (Formula presented.) 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.

UR - https://www.scopus.com/pages/publications/85029801742

U2 - 10.1140/epjc/s10052-014-3023-z

DO - 10.1140/epjc/s10052-014-3023-z

M3 - Article

AN - SCOPUS:85029801742

SN - 1434-6044

VL - 74

SP - 1

EP - 29

JO - European Physical Journal C

JF - European Physical Journal C

IS - 8

M1 - 3023

ER -

Light-quark and gluon jet discrimination in pp collisions at √s=7 TeV with the ATLAS detector

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