Jet reconstruction and performance using particle flow with the ATLAS Detector

M. Aaboud; G. Aad; B. Abbott; J. Abdallah; O. Abdinov; B Abeloos; Sarah Abidi; O.S. AbouZeid; NL Abraham; H. Abramowicz; H. Abreu; R. Abreu; Y. Abulaiti; B.S. Acharya; J Adachi; Mogens Dam; Jørn Dines Hansen; Jørgen Beck Hansen; Stefania Xella; Peter Henrik Hansen; Troels Christian Petersen; Alejandro Alonso Diaz; James William Monk; Lars Egholm Pedersen; Graig Wiglesworth; Geert-Jan Besjes; Lotte Ansgaard Thomsen; Simon Holm Stark; Gorm Aske Gram Krohn Galster; Ask Emil Løvschall-Jensen; Fabian Alexander Jürgen Thiele; Flavia de Almeida Dias; H. Arnold; John Barr; Milena Bajic

doi:10.1140/epjc/s10052-017-5031-2

Jet reconstruction and performance using particle flow with the ATLAS Detector

M. Aaboud, G. Aad, B. Abbott, J. Abdallah, O. Abdinov, B Abeloos, Sarah Abidi, O.S. AbouZeid, NL Abraham, H. Abramowicz, H. Abreu, R. Abreu, Y. Abulaiti, B.S. Acharya, J Adachi, Mogens Dam, Jørn Dines Hansen, Jørgen Beck Hansen, Stefania Xella, Peter Henrik HansenTroels Christian Petersen, Alejandro Alonso Diaz, James William Monk, Lars Egholm Pedersen, Graig Wiglesworth, Geert-Jan Besjes, Lotte Ansgaard Thomsen, Simon Holm Stark, Gorm Aske Gram Krohn Galster, Ask Emil Løvschall-Jensen, Fabian Alexander Jürgen Thiele, Flavia de Almeida Dias, H. Arnold, John Barr, Milena Bajic

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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.

Originalsprog	Engelsk
Artikelnummer	466
Tidsskrift	European Physical Journal C
Vol/bind	77
Udgave nummer	7
ISSN	1434-6044
DOI	https://doi.org/10.1140/epjc/s10052-017-5031-2
Status	Udgivet - 1 jul. 2017

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10.1140/epjc/s10052-017-5031-2Licens: CC BY

10.1140_epjc_s10052-017-5031-2Forlagets udgivne version, 6,51 MB

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Aaboud, M., Aad, G., Abbott, B., Abdallah, J., Abdinov, O., Abeloos, B., Abidi, S., AbouZeid, O. S., Abraham, NL., Abramowicz, H., Abreu, H., Abreu, R., Abulaiti, Y., Acharya, B. S., Adachi, J., Dam, M., Hansen, J. D., Hansen, J. B., Xella, S., ... Bajic, M. (2017). Jet reconstruction and performance using particle flow with the ATLAS Detector. European Physical Journal C, 77(7), [466]. https://doi.org/10.1140/epjc/s10052-017-5031-2

Aaboud, M, Aad, G, Abbott, B, Abdallah, J, Abdinov, O, Abeloos, B, Abidi, S, AbouZeid, OS, Abraham, NL, Abramowicz, H, Abreu, H, Abreu, R, Abulaiti, Y, Acharya, BS, Adachi, J, Dam, M , Hansen, JD , Hansen, JB , Xella, S , Hansen, PH , Petersen, TC, Alonso Diaz, A, Monk, JW, Pedersen, LE, Wiglesworth, G, Besjes, G-J, Thomsen, LA, Stark, SH, Galster, GAGK, Løvschall-Jensen, AE, Thiele, FAJ, de Almeida Dias, F, Arnold, H, Barr, J & Bajic, M 2017, 'Jet reconstruction and performance using particle flow with the ATLAS Detector', European Physical Journal C, bind 77, nr. 7, 466. https://doi.org/10.1140/epjc/s10052-017-5031-2

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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.",

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AU - Aaboud, M.

AU - Aad, G.

AU - Abbott, B.

AU - Abdallah, J.

AU - Abdinov, O.

AU - Abeloos, B

AU - Abidi, Sarah

AU - AbouZeid, O.S.

AU - Abraham, NL

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abreu, R.

AU - Abulaiti, Y.

AU - Acharya, B.S.

AU - Adachi, J

AU - Dam, Mogens

AU - Hansen, Jørn Dines

AU - Hansen, Jørgen Beck

AU - Xella, Stefania

AU - Hansen, Peter Henrik

AU - Petersen, Troels Christian

AU - Alonso Diaz, Alejandro

AU - Monk, James William

AU - Pedersen, Lars Egholm

AU - Wiglesworth, Graig

AU - Besjes, Geert-Jan

AU - Thomsen, Lotte Ansgaard

AU - Stark, Simon Holm

AU - Galster, Gorm Aske Gram Krohn

AU - Løvschall-Jensen, Ask Emil

AU - Thiele, Fabian Alexander Jürgen

AU - de Almeida Dias, Flavia

AU - Arnold, H.

AU - Barr, John

AU - Bajic, Milena

PY - 2017/7/1

Y1 - 2017/7/1

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.

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

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

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SN - 1434-6044

VL - 77

JO - The European Physical Journal C: Particles and Fields

JF - The European Physical Journal C: Particles and Fields

IS - 7

M1 - 466

ER -

Jet reconstruction and performance using particle flow with the ATLAS Detector

Abstract

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