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

M. Aaboud; G. Aad; B. Abbott; J. Abdallah; O. Abdinov; B. Abeloos; S.H. Abidi; O.S. AbouZeid; H. Abramowicz; NL Abraham; H. Abreu; R. Abreu; Y. Abulaiti; B.S. Acharya; J Adachi; L. Adamczyk; J P Adelman; M. Adersberger; T. Adye; A. A. Affolder; Alejandro Alonso Diaz; Milena Bajic; Geert-Jan Besjes; Mogens Dam; Flavia de Almeida Dias; Gorm Aske Gram Krohn Galster; Jørn Dines Hansen; Peter Henrik Hansen; Jørgen Beck Hansen; James William Monk; Simon Holm Stark; Stefania Xella; Troels Christian Petersen; Graig Wiglesworth

doi:10.1140/epjc/s10052-017-5225-7

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

M. Aaboud, G. Aad, B. Abbott, J. Abdallah, O. Abdinov, B. Abeloos, S.H. Abidi, O.S. AbouZeid, H. Abramowicz, NL Abraham, H. Abreu, R. Abreu, Y. Abulaiti, B.S. Acharya, J Adachi, L. Adamczyk, J P Adelman, M. Adersberger, T. Adye, A. A. AffolderAlejandro Alonso Diaz, Milena Bajic, Geert-Jan Besjes, Mogens Dam, Flavia de Almeida Dias, Gorm Aske Gram Krohn Galster, Jørn Dines Hansen, Peter Henrik Hansen, Jørgen Beck Hansen, James William Monk, Simon Holm Stark, Stefania Xella, Troels Christian Petersen, Graig Wiglesworth

Experimental Particle Physics

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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.

Original language	English
Article number	673
Journal	European Physical Journal C
Volume	77
ISSN	1434-6044
DOIs	https://doi.org/10.1140/epjc/s10052-017-5225-7
Publication status	Published - 1 Oct 2017

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Aaboud, M., Aad, G., Abbott, B., Abdallah, J., Abdinov, O., Abeloos, B., Abidi, S. H., AbouZeid, O. S., Abramowicz, H., Abraham, NL., Abreu, H., Abreu, R., Abulaiti, Y., Acharya, B. S., Adachi, J., Adamczyk, L., Adelman, J. P., Adersberger, M., Adye, T., ... Wiglesworth, G. (2017). Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2. European Physical Journal C, 77, Article 673. https://doi.org/10.1140/epjc/s10052-017-5225-7

Aaboud, M, Aad, G, Abbott, B, Abdallah, J, Abdinov, O, Abeloos, B, Abidi, SH, AbouZeid, OS, Abramowicz, H, Abraham, NL, Abreu, H, Abreu, R, Abulaiti, Y, Acharya, BS, Adachi, J, Adamczyk, L, Adelman, JP, Adersberger, M, Adye, T, Affolder, AA, Alonso Diaz, A, Bajic, M, Besjes, G-J, Dam, M, de Almeida Dias, F, Galster, GAGK, Hansen, JD , Hansen, PH , Hansen, JB, Monk, JW, Stark, SH, Xella, S , Petersen, TC & Wiglesworth, G 2017, 'Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2', European Physical Journal C, vol. 77, 673. https://doi.org/10.1140/epjc/s10052-017-5225-7

@article{668737dc98c04701be5e662ade605c90,

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.",

author = "M. Aaboud and G. Aad and B. Abbott and J. Abdallah and O. Abdinov and B. Abeloos and S.H. Abidi and O.S. AbouZeid and H. Abramowicz and NL Abraham and H. Abreu and R. Abreu and Y. Abulaiti and B.S. Acharya and J Adachi and L. Adamczyk and Adelman, {J P} and M. Adersberger and T. Adye and Affolder, {A. A.} and {Alonso Diaz}, Alejandro and Milena Bajic and Geert-Jan Besjes and Mogens Dam and {de Almeida Dias}, Flavia and Galster, {Gorm Aske Gram Krohn} and Hansen, {J{\o}rn Dines} and Hansen, {Peter Henrik} and Hansen, {J{\o}rgen Beck} and Monk, {James William} and Stark, {Simon Holm} and Stefania Xella and Petersen, {Troels Christian} and Graig Wiglesworth",

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

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 - Abramowicz, H.

AU - Abraham, NL

AU - Abreu, H.

AU - Abreu, R.

AU - Abulaiti, Y.

AU - Acharya, B.S.

AU - Adachi, J

AU - Adamczyk, L.

AU - Adelman, J P

AU - Adersberger, M.

AU - Adye, T.

AU - Affolder, A. A.

AU - Alonso Diaz, Alejandro

AU - Bajic, Milena

AU - Besjes, Geert-Jan

AU - Dam, Mogens

AU - de Almeida Dias, Flavia

AU - Galster, Gorm Aske Gram Krohn

AU - Hansen, Jørn Dines

AU - Hansen, Peter Henrik

AU - Hansen, Jørgen Beck

AU - Monk, James William

AU - Stark, Simon Holm

AU - Xella, Stefania

AU - Petersen, Troels Christian

AU - Wiglesworth, Graig

PY - 2017/10/1

Y1 - 2017/10/1

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.

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

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

M3 - Journal article

C2 - 29081711

SN - 1434-6044

VL - 77

JO - European Physical Journal C

JF - European Physical Journal C

M1 - 673

ER -

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

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