Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2

Bibliographic Details
Main Author: ATLAS collaboration (2859 authors)
Publication Date: 2017
Other Authors: Aguilar-Saavedra, Juan Antonio, Amor Dos Santos, Susana Patricia, Anjos, Nuno, Araque, Juan Pedro, Carvalho, João, Castro, Nuno Filipe, Conde Muiño, Patricia, Da Cunha Sargedas De Sousa, Mario Jose, Fiolhais, Miguel, Galhardo, Bruno, Gomes, Agostinho, Gonçalo, Ricardo, Jorge, Pedro, Machado Miguens, Joana, Maio, Amélia, Maneira, José, Oleiro Seabra, Luis Filipe, Onofre, António, Pedro, Rute, Santos, Helena, Saraiva, João, Silva, José, Tavares Delgado, Ademar, Veloso, Filipe, Wolters, Helmut
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://dx.doi.org/10.1140/epjc/s10052-017-5225-7
http://hdl.handle.net/10400.26/27334
Summary: With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13  $\text {TeV}$ 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  $\text {TeV}$ . 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 $\text {GeV}$ is quantified using a novel, data-driven, method. The method uses the energy loss, ${\text { d}}{} \textit{E}/d\textit{x}$ , 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 $0.061 \pm 0.006\ {\text {(stat.)}} \pm 0.014\ {\text {(syst.)}}$ and $0.093 \pm 0.017\ {\text {(stat.)}}\pm 0.021\ {\text {(syst.)}}$ for jet transverse momenta of 200–400  $\text {GeV}$ and 1400–1600  $\text {GeV}$ , respectively.
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spelling Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13  $\text {TeV}$ 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  $\text {TeV}$ . 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 $\text {GeV}$ is quantified using a novel, data-driven, method. The method uses the energy loss, ${\text { d}}{} \textit{E}/d\textit{x}$ , 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 $0.061 \pm 0.006\ {\text {(stat.)}} \pm 0.014\ {\text {(syst.)}}$ and $0.093 \pm 0.017\ {\text {(stat.)}}\pm 0.021\ {\text {(syst.)}}$ for jet transverse momenta of 200–400  $\text {GeV}$ and 1400–1600  $\text {GeV}$ , respectively.Repositório ComumATLAS collaboration (2859 authors)Aguilar-Saavedra, Juan AntonioAmor Dos Santos, Susana PatriciaAnjos, NunoAraque, Juan PedroCarvalho, JoãoCastro, Nuno FilipeConde Muiño, PatriciaDa Cunha Sargedas De Sousa, Mario JoseFiolhais, MiguelGalhardo, BrunoGomes, AgostinhoGonçalo, RicardoJorge, PedroMachado Miguens, JoanaMaio, AméliaManeira, JoséOleiro Seabra, Luis FilipeOnofre, AntónioPedro, RuteSantos, HelenaSaraiva, JoãoSilva, JoséTavares Delgado, AdemarVeloso, FilipeWolters, Helmut2019-02-04T12:48:57Z2017-10-112019-02-04T12:48:57Z2017-10-11T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1140/epjc/s10052-017-5225-7http://hdl.handle.net/10400.26/27334enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-14T13:14:44Zoai:comum.rcaap.pt:10400.26/27334Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T07:21:11.100122Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
title Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
spellingShingle Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
ATLAS collaboration (2859 authors)
title_short Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
title_full Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
title_fullStr Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
title_full_unstemmed Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
title_sort Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
author ATLAS collaboration (2859 authors)
author_facet ATLAS collaboration (2859 authors)
Aguilar-Saavedra, Juan Antonio
Amor Dos Santos, Susana Patricia
Anjos, Nuno
Araque, Juan Pedro
Carvalho, João
Castro, Nuno Filipe
Conde Muiño, Patricia
Da Cunha Sargedas De Sousa, Mario Jose
Fiolhais, Miguel
Galhardo, Bruno
Gomes, Agostinho
Gonçalo, Ricardo
Jorge, Pedro
Machado Miguens, Joana
Maio, Amélia
Maneira, José
Oleiro Seabra, Luis Filipe
Onofre, António
Pedro, Rute
Santos, Helena
Saraiva, João
Silva, José
Tavares Delgado, Ademar
Veloso, Filipe
Wolters, Helmut
author_role author
author2 Aguilar-Saavedra, Juan Antonio
Amor Dos Santos, Susana Patricia
Anjos, Nuno
Araque, Juan Pedro
Carvalho, João
Castro, Nuno Filipe
Conde Muiño, Patricia
Da Cunha Sargedas De Sousa, Mario Jose
Fiolhais, Miguel
Galhardo, Bruno
Gomes, Agostinho
Gonçalo, Ricardo
Jorge, Pedro
Machado Miguens, Joana
Maio, Amélia
Maneira, José
Oleiro Seabra, Luis Filipe
Onofre, António
Pedro, Rute
Santos, Helena
Saraiva, João
Silva, José
Tavares Delgado, Ademar
Veloso, Filipe
Wolters, Helmut
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv ATLAS collaboration (2859 authors)
Aguilar-Saavedra, Juan Antonio
Amor Dos Santos, Susana Patricia
Anjos, Nuno
Araque, Juan Pedro
Carvalho, João
Castro, Nuno Filipe
Conde Muiño, Patricia
Da Cunha Sargedas De Sousa, Mario Jose
Fiolhais, Miguel
Galhardo, Bruno
Gomes, Agostinho
Gonçalo, Ricardo
Jorge, Pedro
Machado Miguens, Joana
Maio, Amélia
Maneira, José
Oleiro Seabra, Luis Filipe
Onofre, António
Pedro, Rute
Santos, Helena
Saraiva, João
Silva, José
Tavares Delgado, Ademar
Veloso, Filipe
Wolters, Helmut
description With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13  $\text {TeV}$ 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  $\text {TeV}$ . 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 $\text {GeV}$ is quantified using a novel, data-driven, method. The method uses the energy loss, ${\text { d}}{} \textit{E}/d\textit{x}$ , 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 $0.061 \pm 0.006\ {\text {(stat.)}} \pm 0.014\ {\text {(syst.)}}$ and $0.093 \pm 0.017\ {\text {(stat.)}}\pm 0.021\ {\text {(syst.)}}$ for jet transverse momenta of 200–400  $\text {GeV}$ and 1400–1600  $\text {GeV}$ , respectively.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-11
2017-10-11T00:00:00Z
2019-02-04T12:48:57Z
2019-02-04T12:48:57Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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http://hdl.handle.net/10400.26/27334
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http://hdl.handle.net/10400.26/27334
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