Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC Run 2
| Main Author: | |
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| Publication Date: | 2017 |
| Other Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
| 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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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 |
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2017-10-11 2017-10-11T00:00:00Z 2019-02-04T12:48:57Z 2019-02-04T12:48:57Z |
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http://dx.doi.org/10.1140/epjc/s10052-017-5225-7 http://hdl.handle.net/10400.26/27334 |
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http://dx.doi.org/10.1140/epjc/s10052-017-5225-7 http://hdl.handle.net/10400.26/27334 |
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eng |
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