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Article: Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at √s= 13 TeV
Title | Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at √s= 13 TeV |
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Authors | |
Keywords | PARTON DISTRIBUTIONS |
Issue Date | 2019 |
Publisher | Springer Verlag (Germany): SCOAP3. The Journal's web site is located at http://epjc.edpsciences.org |
Citation | The European Physical Journal C: Particles and Fields, 2019, v. 79 n. 8, p. article no. 639 How to Cite? |
Abstract | Algorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these algorithms are used in ATLAS physics analyses that involve electrons in the final state and which are based on the 2015 and 2016 proton-proton collision data produced by the LHC at root s = 13 The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from Z -> ee and J/psi -> eedecays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown. |
Persistent Identifier | http://hdl.handle.net/10722/275143 |
ISSN | 2023 Impact Factor: 4.2 2023 SCImago Journal Rankings: 1.451 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | LO, CY | - |
dc.contributor.author | Orlando, N | - |
dc.contributor.author | Paredes Hernandez, D | - |
dc.contributor.author | Tu, Y | - |
dc.contributor.author | ATLAS Collaboration | - |
dc.contributor.author | Pizzimento, L | - |
dc.date.accessioned | 2019-09-10T02:36:25Z | - |
dc.date.available | 2019-09-10T02:36:25Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | The European Physical Journal C: Particles and Fields, 2019, v. 79 n. 8, p. article no. 639 | - |
dc.identifier.issn | 1434-6044 | - |
dc.identifier.uri | http://hdl.handle.net/10722/275143 | - |
dc.description.abstract | Algorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these algorithms are used in ATLAS physics analyses that involve electrons in the final state and which are based on the 2015 and 2016 proton-proton collision data produced by the LHC at root s = 13 The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from Z -> ee and J/psi -> eedecays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown. | - |
dc.language | eng | - |
dc.publisher | Springer Verlag (Germany): SCOAP3. The Journal's web site is located at http://epjc.edpsciences.org | - |
dc.relation.ispartof | The European Physical Journal C: Particles and Fields | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | PARTON DISTRIBUTIONS | - |
dc.title | Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at √s= 13 TeV | - |
dc.type | Article | - |
dc.identifier.email | Paredes Hernandez, HD: dparedes@hku.hk | - |
dc.identifier.email | Tu, Y: yanjuntu@hku.hk | - |
dc.identifier.authority | Tu, Y=rp01971 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1140/epjc/s10052-019-7140-6 | - |
dc.identifier.scopus | eid_2-s2.0-85072755274 | - |
dc.identifier.hkuros | 304316 | - |
dc.identifier.volume | 79 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | article no. 639 | - |
dc.identifier.epage | article no. 639 | - |
dc.identifier.isi | WOS:000480245700001 | - |
dc.publisher.place | Germany | - |
dc.identifier.issnl | 1434-6044 | - |