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Jet reconstruction and performance using particle flow with the ATLAS Detector. / The ATLAS collaboration; The ATLAS collaboration; Bogdanchikov, A. G. et al.

In: European Physical Journal C, Vol. 77, No. 7, 466, 13.07.2017.

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The ATLAS collaboration, The ATLAS collaboration, Bogdanchikov AG, Харламов АГ, Король АА, Масленников АЛ et al. Jet reconstruction and performance using particle flow with the ATLAS Detector. European Physical Journal C. 2017 Jul 13;77(7):466. doi: 10.1140/epjc/s10052-017-5031-2

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The ATLAS collaboration ; The ATLAS collaboration ; Bogdanchikov, A. G. et al. / Jet reconstruction and performance using particle flow with the ATLAS Detector. In: European Physical Journal C. 2017 ; Vol. 77, No. 7.

BibTeX

@article{b1f8884290234cc098095731f8fab1cb,
title = "Jet reconstruction and performance using particle flow with the ATLAS Detector",
abstract = "This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb- 1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.",
keywords = "CROSS-SECTION, HADRON, PAIR PRODUCTION, PLUS",
author = "{The ATLAS collaboration} and {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 Verzini, {M. J.Alconada} 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 T. Kharlamova and Peleganchuk, {S. V.} and Talyshev, {A. A.} and Tikhonov, {Yu A.} and Bogdanchikov, {A. G.} and Харламов, {Алексей Георгиевич} and Король, {Александр Аркадьевич} and Масленников, {Алексей Леонидович} and Максимов, {Дмитрий Александрович} and Резанова, {Ольга Леонардовна} and Сухарев, {Андрей Михайлович}",
note = "Publisher Copyright: {\textcopyright} 2017, CERN for the benefit of the ATLAS collaboration.",
year = "2017",
month = jul,
day = "13",
doi = "10.1140/epjc/s10052-017-5031-2",
language = "English",
volume = "77",
journal = "European Physical Journal C",
issn = "1434-6044",
publisher = "Springer Nature",
number = "7",

}

RIS

TY - JOUR

T1 - Jet reconstruction and performance using particle flow with the ATLAS Detector

AU - The ATLAS collaboration

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 - Verzini, M. J.Alconada

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 - Kharlamova, T.

AU - Peleganchuk, S. V.

AU - Talyshev, A. A.

AU - Tikhonov, Yu A.

AU - Bogdanchikov, A. G.

AU - Харламов, Алексей Георгиевич

AU - Король, Александр Аркадьевич

AU - Масленников, Алексей Леонидович

AU - Максимов, Дмитрий Александрович

AU - Резанова, Ольга Леонардовна

AU - Сухарев, Андрей Михайлович

N1 - Publisher Copyright: © 2017, CERN for the benefit of the ATLAS collaboration.

PY - 2017/7/13

Y1 - 2017/7/13

N2 - This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb- 1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.

AB - This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb- 1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.

KW - CROSS-SECTION

KW - HADRON

KW - PAIR PRODUCTION

KW - PLUS

UR - http://www.scopus.com/inward/record.url?scp=85024369614&partnerID=8YFLogxK

U2 - 10.1140/epjc/s10052-017-5031-2

DO - 10.1140/epjc/s10052-017-5031-2

M3 - Article

C2 - 28943792

AN - SCOPUS:85024369614

VL - 77

JO - European Physical Journal C

JF - European Physical Journal C

SN - 1434-6044

IS - 7

M1 - 466

ER -

ID: 10071925