Jet energy measurement and its systematic uncertainty in proton–proton collisions at √s=7TeV with the ATLAS detector

The ATLAS Collaboration

    Research output: Contribution to journalArticle

    144 Citations (Scopus)

    Abstract

    The jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton–proton collision data with a centre-of-mass energy of (Formula presented.)(Formula presented.)TeV corresponding to an integrated luminosity of (Formula presented.)(Formula presented.)(Formula presented.)(Formula presented.). Jets are reconstructed from energy deposits forming topological clusters of alorimeter cells using the anti-(Formula presented.)(Formula presented.) algorithm with distance parameters (Formula presented.)(Formula presented.) or (Formula presented.)(Formula presented.), and are calibrated using MC simulations. A residual JES correction is applied to account for differences between data and MC simulations. This correction and its systematic uncertainty are estimated using a combination of in situ techniques exploiting the transverse momentum balance between a jet and a reference object such as a photon or a (Formula presented.)(Formula presented.) boson, for (Formula presented.)(Formula presented.) and pseudorapidities (Formula presented.)(Formula presented.). The effect of multiple proton–proton interactions is corrected for, and an uncertainty is evaluated using in situ techniques. The smallest JES uncertainty of less than 1 % is found in the central calorimeter region ((Formula presented.)(Formula presented.)) for jets with (Formula presented.)(Formula presented.). For central jets at lower (Formula presented.)(Formula presented.), the uncertainty is about 3 %. A consistent JES estimate is found using measurements of the calorimeter response of single hadrons in proton–proton collisions and test-beam data, which also provide the estimate for (Formula presented.)(Formula presented.) TeV. The calibration of forward jets is derived from dijet (Formula presented.)(Formula presented.) balance measurements. The resulting uncertainty reaches its largest value of 6 % for low-(Formula presented.)(Formula presented.) jets at (Formula presented.)(Formula presented.). Additional JES uncertainties due to specific event topologies, such as close-by jets or selections of event samples with an enhanced content of jets originating from light quarks or gluons, are also discussed. The magnitude of these uncertainties depends on the event sample used in a given physics analysis, but typically amounts to 0.5–3 %.

    Original languageEnglish
    Pages (from-to)1-101
    Number of pages101
    JournalEuropean Physical Journal C
    Volume75
    Issue number1
    DOIs
    Publication statusPublished - 2015

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    Electric power measurement
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    energy
    Uncertainty
    Calorimeters
    Hadrons
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    ASJC Scopus subject areas

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

    Cite this

    Jet energy measurement and its systematic uncertainty in proton–proton collisions at √s=7TeV with the ATLAS detector. / The ATLAS Collaboration.

    In: European Physical Journal C, Vol. 75, No. 1, 2015, p. 1-101.

    Research output: Contribution to journalArticle

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    title = "Jet energy measurement and its systematic uncertainty in proton–proton collisions at √s=7TeV with the ATLAS detector",
    abstract = "The jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton–proton collision data with a centre-of-mass energy of (Formula presented.)(Formula presented.)TeV corresponding to an integrated luminosity of (Formula presented.)(Formula presented.)(Formula presented.)(Formula presented.). Jets are reconstructed from energy deposits forming topological clusters of alorimeter cells using the anti-(Formula presented.)(Formula presented.) algorithm with distance parameters (Formula presented.)(Formula presented.) or (Formula presented.)(Formula presented.), and are calibrated using MC simulations. A residual JES correction is applied to account for differences between data and MC simulations. This correction and its systematic uncertainty are estimated using a combination of in situ techniques exploiting the transverse momentum balance between a jet and a reference object such as a photon or a (Formula presented.)(Formula presented.) boson, for (Formula presented.)(Formula presented.) and pseudorapidities (Formula presented.)(Formula presented.). The effect of multiple proton–proton interactions is corrected for, and an uncertainty is evaluated using in situ techniques. The smallest JES uncertainty of less than 1 {\%} is found in the central calorimeter region ((Formula presented.)(Formula presented.)) for jets with (Formula presented.)(Formula presented.). For central jets at lower (Formula presented.)(Formula presented.), the uncertainty is about 3 {\%}. A consistent JES estimate is found using measurements of the calorimeter response of single hadrons in proton–proton collisions and test-beam data, which also provide the estimate for (Formula presented.)(Formula presented.) TeV. The calibration of forward jets is derived from dijet (Formula presented.)(Formula presented.) balance measurements. The resulting uncertainty reaches its largest value of 6 {\%} for low-(Formula presented.)(Formula presented.) jets at (Formula presented.)(Formula presented.). Additional JES uncertainties due to specific event topologies, such as close-by jets or selections of event samples with an enhanced content of jets originating from light quarks or gluons, are also discussed. The magnitude of these uncertainties depends on the event sample used in a given physics analysis, but typically amounts to 0.5–3 {\%}.",
    author = "{The ATLAS Collaboration} and G. Aad and T. Abajyan 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 Y. Abulaiti and Acharya, {B. S.} and L. Adamczyk and Adams, {D. L.} and Addy, {T. N.} and J. Adelman and S. Adomeit and T. Adye and S. Aefsky 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 Alam, {M. A.} and J. Albert and S. Albrand and {Alconada Verzini}, {M. J.} and M. Aleksa and Aleksandrov, {I. N.} and F. Alessandria and C. Alexa and G. Alexander and G. Alexandre and T. Alexopoulos and M. Alhroob and M. Aliev and G. Alimonti and L. Alio and J. Alison and Allbrooke, {B. M M} and Takashi Mitani and Kohei Yorita",
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    T1 - Jet energy measurement and its systematic uncertainty in proton–proton collisions at √s=7TeV with the ATLAS detector

    AU - The ATLAS Collaboration

    AU - Aad, G.

    AU - Abajyan, T.

    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 - Abulaiti, Y.

    AU - Acharya, B. S.

    AU - Adamczyk, L.

    AU - Adams, D. L.

    AU - Addy, T. N.

    AU - Adelman, J.

    AU - Adomeit, S.

    AU - Adye, T.

    AU - Aefsky, S.

    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 - Alam, M. A.

    AU - Albert, J.

    AU - Albrand, S.

    AU - Alconada Verzini, M. J.

    AU - Aleksa, M.

    AU - Aleksandrov, I. N.

    AU - Alessandria, F.

    AU - Alexa, C.

    AU - Alexander, G.

    AU - Alexandre, G.

    AU - Alexopoulos, T.

    AU - Alhroob, M.

    AU - Aliev, M.

    AU - Alimonti, G.

    AU - Alio, L.

    AU - Alison, J.

    AU - Allbrooke, B. M M

    AU - Mitani, Takashi

    AU - Yorita, Kohei

    PY - 2015

    Y1 - 2015

    N2 - The jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton–proton collision data with a centre-of-mass energy of (Formula presented.)(Formula presented.)TeV corresponding to an integrated luminosity of (Formula presented.)(Formula presented.)(Formula presented.)(Formula presented.). Jets are reconstructed from energy deposits forming topological clusters of alorimeter cells using the anti-(Formula presented.)(Formula presented.) algorithm with distance parameters (Formula presented.)(Formula presented.) or (Formula presented.)(Formula presented.), and are calibrated using MC simulations. A residual JES correction is applied to account for differences between data and MC simulations. This correction and its systematic uncertainty are estimated using a combination of in situ techniques exploiting the transverse momentum balance between a jet and a reference object such as a photon or a (Formula presented.)(Formula presented.) boson, for (Formula presented.)(Formula presented.) and pseudorapidities (Formula presented.)(Formula presented.). The effect of multiple proton–proton interactions is corrected for, and an uncertainty is evaluated using in situ techniques. The smallest JES uncertainty of less than 1 % is found in the central calorimeter region ((Formula presented.)(Formula presented.)) for jets with (Formula presented.)(Formula presented.). For central jets at lower (Formula presented.)(Formula presented.), the uncertainty is about 3 %. A consistent JES estimate is found using measurements of the calorimeter response of single hadrons in proton–proton collisions and test-beam data, which also provide the estimate for (Formula presented.)(Formula presented.) TeV. The calibration of forward jets is derived from dijet (Formula presented.)(Formula presented.) balance measurements. The resulting uncertainty reaches its largest value of 6 % for low-(Formula presented.)(Formula presented.) jets at (Formula presented.)(Formula presented.). Additional JES uncertainties due to specific event topologies, such as close-by jets or selections of event samples with an enhanced content of jets originating from light quarks or gluons, are also discussed. The magnitude of these uncertainties depends on the event sample used in a given physics analysis, but typically amounts to 0.5–3 %.

    AB - The jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton–proton collision data with a centre-of-mass energy of (Formula presented.)(Formula presented.)TeV corresponding to an integrated luminosity of (Formula presented.)(Formula presented.)(Formula presented.)(Formula presented.). Jets are reconstructed from energy deposits forming topological clusters of alorimeter cells using the anti-(Formula presented.)(Formula presented.) algorithm with distance parameters (Formula presented.)(Formula presented.) or (Formula presented.)(Formula presented.), and are calibrated using MC simulations. A residual JES correction is applied to account for differences between data and MC simulations. This correction and its systematic uncertainty are estimated using a combination of in situ techniques exploiting the transverse momentum balance between a jet and a reference object such as a photon or a (Formula presented.)(Formula presented.) boson, for (Formula presented.)(Formula presented.) and pseudorapidities (Formula presented.)(Formula presented.). The effect of multiple proton–proton interactions is corrected for, and an uncertainty is evaluated using in situ techniques. The smallest JES uncertainty of less than 1 % is found in the central calorimeter region ((Formula presented.)(Formula presented.)) for jets with (Formula presented.)(Formula presented.). For central jets at lower (Formula presented.)(Formula presented.), the uncertainty is about 3 %. A consistent JES estimate is found using measurements of the calorimeter response of single hadrons in proton–proton collisions and test-beam data, which also provide the estimate for (Formula presented.)(Formula presented.) TeV. The calibration of forward jets is derived from dijet (Formula presented.)(Formula presented.) balance measurements. The resulting uncertainty reaches its largest value of 6 % for low-(Formula presented.)(Formula presented.) jets at (Formula presented.)(Formula presented.). Additional JES uncertainties due to specific event topologies, such as close-by jets or selections of event samples with an enhanced content of jets originating from light quarks or gluons, are also discussed. The magnitude of these uncertainties depends on the event sample used in a given physics analysis, but typically amounts to 0.5–3 %.

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