Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV
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...
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| Autores principales: | , , , , , , , , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/125015 |
| Aporte de: |
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I19-R120-10915-125015 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Física Physics Collision Electron Atlas (topology) Nuclear physics Atlas experiment Particle identification Atlas detector Large hadron collider Detector |
| spellingShingle |
Física Physics Collision Electron Atlas (topology) Nuclear physics Atlas experiment Particle identification Atlas detector Large hadron collider Detector Alconada Verzini, María Josefina Alonso, Francisco Arduh, Francisco Anuar Dova, María Teresa Hoya, Joaquín Monticelli, Fernando Gabriel Orellana, Gonzalo Enrique Wahlberg, Hernán Pablo The ATLAS Collaboration Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
| topic_facet |
Física Physics Collision Electron Atlas (topology) Nuclear physics Atlas experiment Particle identification Atlas detector Large hadron collider Detector |
| description |
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 s√ = 13 TeV. 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/ψ→ee decays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown. |
| format |
Articulo Articulo |
| author |
Alconada Verzini, María Josefina Alonso, Francisco Arduh, Francisco Anuar Dova, María Teresa Hoya, Joaquín Monticelli, Fernando Gabriel Orellana, Gonzalo Enrique Wahlberg, Hernán Pablo The ATLAS Collaboration |
| author_facet |
Alconada Verzini, María Josefina Alonso, Francisco Arduh, Francisco Anuar Dova, María Teresa Hoya, Joaquín Monticelli, Fernando Gabriel Orellana, Gonzalo Enrique Wahlberg, Hernán Pablo The ATLAS Collaboration |
| author_sort |
Alconada Verzini, María Josefina |
| title |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
| title_short |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
| title_full |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
| title_fullStr |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
| title_full_unstemmed |
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s =13 TeV |
| title_sort |
electron reconstruction and identification in the atlas experiment using the 2015 and 2016 lhc proton–proton collision data at √s =13 tev |
| publishDate |
2019 |
| url |
http://sedici.unlp.edu.ar/handle/10915/125015 |
| work_keys_str_mv |
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Repositorios |
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