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

The ATLAS Collaboration

    Research output: Contribution to journalArticle

    7 Citations (Scopus)

    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 languageEnglish
    Pages (from-to)1-29
    Number of pages29
    JournalEuropean Physical Journal C
    Volume74
    Issue number8
    DOIs
    Publication statusPublished - 2014 Aug 1

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    discrimination
    quarks
    Detectors
    collisions
    detectors
    acceptability
    rejection
    templates

    ASJC Scopus subject areas

    • Engineering (miscellaneous)
    • Physics and Astronomy (miscellaneous)

    Cite this

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

    In: European Physical Journal C, Vol. 74, No. 8, 01.08.2014, p. 1-29.

    Research output: Contribution to journalArticle

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    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 Takashi Mitani and Kohei Yorita",
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    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 - Mitani, Takashi

    AU - Yorita, Kohei

    PY - 2014/8/1

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    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.

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

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    EP - 29

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