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Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2. / The ATLAS collaboration ; Харламов, Алексей Георгиевич; Харламова, Татьяна Александровна et al.

In: European Physical Journal C, Vol. 77, No. 10, 673, 11.10.2017, p. 673.

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

Harvard

The ATLAS collaboration, Харламов, АГ, Харламова, ТА, Bogdanchikov, AG, Король, АА, Масленников, АЛ, Максимов, ДА, Резанова, ОЛ, Подберёзко, ПС & Сухарев, АМ 2017, 'Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2', European Physical Journal C, vol. 77, no. 10, 673, pp. 673. https://doi.org/10.1140/epjc/s10052-017-5225-7

APA

The ATLAS collaboration, Харламов, А. Г., Харламова, Т. А., Bogdanchikov, A. G., Король, А. А., Масленников, А. Л., Максимов, Д. А., Резанова, О. Л., Подберёзко, П. С., & Сухарев, А. М. (2017). Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2. European Physical Journal C, 77(10), 673. [673]. https://doi.org/10.1140/epjc/s10052-017-5225-7

Vancouver

The ATLAS collaboration, Харламов АГ, Харламова ТА, Bogdanchikov AG, Король АА, Масленников АЛ et al. Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2. European Physical Journal C. 2017 Oct 11;77(10):673. 673. doi: 10.1140/epjc/s10052-017-5225-7

Author

The ATLAS collaboration ; Харламов, Алексей Георгиевич ; Харламова, Татьяна Александровна et al. / Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2. In: European Physical Journal C. 2017 ; Vol. 77, No. 10. pp. 673.

BibTeX

@article{3bafaca7bd1d40fbb00578c95cbb8c4b,
title = "Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2",
abstract = "With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13 TeV for Run 2, events with dense environments, such as in the cores of high-energy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. Basic track quantities are compared between 3.2 fb- 1 of data collected by the ATLAS experiment and simulation of proton–proton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13 TeV. The impact of charged-particle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 GeV is quantified using a novel, data-driven, method. The method uses the energy loss, dE/dx, to identify pixel clusters originating from two charged particles. Of the charged particles creating these clusters, the measured fraction that fail to be reconstructed is 0.061±0.006(stat.)±0.014(syst.) and 0.093±0.017(stat.)±0.021(syst.) for jet transverse momenta of 200–400 GeV and 1400–1600 GeV , respectively.",
keywords = "DETECTOR, DISTRIBUTIONS",
author = "{The ATLAS collaboration} and M. Aaboud and G. Aad and B. Abbott and J. Abdallah and O. Abdinov and B. Abeloos and Abidi, {S. H.} and AbouZeid, {O. S.} and Abraham, {N. L.} and H. Abramowicz and H. Abreu and R. Abreu and Y. Abulaiti and Acharya, {B. S.} and S. Adachi and L. Adamczyk and J. Adelman and M. Adersberger and T. Adye and Affolder, {A. A.} and T. Agatonovic-Jovin and C. Agheorghiesei and Aguilar-Saavedra, {J. A.} and Ahlen, {S. P.} and F. Ahmadov and G. Aielli and S. Akatsuka and H. Akerstedt and {\AA}kesson, {T. P.A.} and Akimov, {A. V.} and Alberghi, {G. L.} and J. Albert and P. Albicocco and {Alconada Verzini}, {M. J.} and M. Aleksa and Aleksandrov, {I. N.} and C. Alexa and G. Alexander and T. Alexopoulos and M. Alhroob and B. Ali and M. Aliev and Anisenkov, {A. V.} and Baldin, {E. M.} and Bobrovnikov, {V. S.} and Buzykaev, {A. R.} and Kazanin, {V. F.} and Peleganchuk, {S. V.} and Talyshev, {A. A.} and Tikhonov, {Yu A.} and Харламов, {Алексей Георгиевич} and Харламова, {Татьяна Александровна} and Bogdanchikov, {A. G.} and Король, {Александр Аркадьевич} and Масленников, {Алексей Леонидович} and Максимов, {Дмитрий Александрович} and Резанова, {Ольга Леонардовна} and Подберёзко, {Павел Сергеевич} and Сухарев, {Андрей Михайлович}",
year = "2017",
month = oct,
day = "11",
doi = "10.1140/epjc/s10052-017-5225-7",
language = "English",
volume = "77",
pages = "673",
journal = "European Physical Journal C",
issn = "1434-6044",
publisher = "Springer Nature",
number = "10",

}

RIS

TY - JOUR

T1 - Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2

AU - The ATLAS collaboration

AU - Aaboud, M.

AU - Aad, G.

AU - Abbott, B.

AU - Abdallah, J.

AU - Abdinov, O.

AU - Abeloos, B.

AU - Abidi, S. H.

AU - AbouZeid, O. S.

AU - Abraham, N. L.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abreu, R.

AU - Abulaiti, Y.

AU - Acharya, B. S.

AU - Adachi, S.

AU - Adamczyk, L.

AU - Adelman, J.

AU - Adersberger, M.

AU - Adye, T.

AU - Affolder, A. A.

AU - Agatonovic-Jovin, T.

AU - Agheorghiesei, C.

AU - Aguilar-Saavedra, J. A.

AU - Ahlen, S. P.

AU - Ahmadov, F.

AU - Aielli, G.

AU - Akatsuka, S.

AU - Akerstedt, H.

AU - Åkesson, T. P.A.

AU - Akimov, A. V.

AU - Alberghi, G. L.

AU - Albert, J.

AU - Albicocco, P.

AU - Alconada Verzini, M. J.

AU - Aleksa, M.

AU - Aleksandrov, I. N.

AU - Alexa, C.

AU - Alexander, G.

AU - Alexopoulos, T.

AU - Alhroob, M.

AU - Ali, B.

AU - Aliev, M.

AU - Anisenkov, A. V.

AU - Baldin, E. M.

AU - Bobrovnikov, V. S.

AU - Buzykaev, A. R.

AU - Kazanin, V. F.

AU - Peleganchuk, S. V.

AU - Talyshev, A. A.

AU - Tikhonov, Yu A.

AU - Харламов, Алексей Георгиевич

AU - Харламова, Татьяна Александровна

AU - Bogdanchikov, A. G.

AU - Король, Александр Аркадьевич

AU - Масленников, Алексей Леонидович

AU - Максимов, Дмитрий Александрович

AU - Резанова, Ольга Леонардовна

AU - Подберёзко, Павел Сергеевич

AU - Сухарев, Андрей Михайлович

PY - 2017/10/11

Y1 - 2017/10/11

N2 - With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13 TeV for Run 2, events with dense environments, such as in the cores of high-energy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. Basic track quantities are compared between 3.2 fb- 1 of data collected by the ATLAS experiment and simulation of proton–proton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13 TeV. The impact of charged-particle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 GeV is quantified using a novel, data-driven, method. The method uses the energy loss, dE/dx, to identify pixel clusters originating from two charged particles. Of the charged particles creating these clusters, the measured fraction that fail to be reconstructed is 0.061±0.006(stat.)±0.014(syst.) and 0.093±0.017(stat.)±0.021(syst.) for jet transverse momenta of 200–400 GeV and 1400–1600 GeV , respectively.

AB - With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13 TeV for Run 2, events with dense environments, such as in the cores of high-energy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. Basic track quantities are compared between 3.2 fb- 1 of data collected by the ATLAS experiment and simulation of proton–proton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13 TeV. The impact of charged-particle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 GeV is quantified using a novel, data-driven, method. The method uses the energy loss, dE/dx, to identify pixel clusters originating from two charged particles. Of the charged particles creating these clusters, the measured fraction that fail to be reconstructed is 0.061±0.006(stat.)±0.014(syst.) and 0.093±0.017(stat.)±0.021(syst.) for jet transverse momenta of 200–400 GeV and 1400–1600 GeV , respectively.

KW - DETECTOR

KW - DISTRIBUTIONS

UR - http://www.scopus.com/inward/record.url?scp=85031414979&partnerID=8YFLogxK

U2 - 10.1140/epjc/s10052-017-5225-7

DO - 10.1140/epjc/s10052-017-5225-7

M3 - Article

C2 - 29081711

AN - SCOPUS:85031414979

VL - 77

SP - 673

JO - European Physical Journal C

JF - European Physical Journal C

SN - 1434-6044

IS - 10

M1 - 673

ER -

ID: 9891495