Downloads provided by UsageCounts
doi: 10.1140/epjc/s10052-017-4756-2 , 10.60692/pyd23-21b30 , 10.48550/arxiv.1612.01456 , 10.3204/pubdb-2017-08780 , 10.60692/2rvyn-2qz90 , 10.3204/pubdb-2016-06038
pmid: 28579919
pmc: PMC5434979
arXiv: 1612.01456
handle: 10481/63119 , https://repository.ubn.ru.nl/handle/2066/173623 , 11588/708984 , 11245.1/e49fe59e-cd5b-45bf-9b82-8da0757662f7 , 20.500.11851/9731 , 2066/173623 , 2434/491077 , 10316/108154 , 10400.26/27248 , 20.500.11770/268453 , 20.500.11820/6cb8eae9-f64e-47c0-a30b-ecc4a0e1227c , 11572/180346 , 11390/1109679 , 11368/3090243 , 2108/179613 , 11590/328901 , 11367/65886 , 11567/874397 , 11568/868448 , 11587/415751 , 11585/600890 , 10722/242244 , 20.500.12575/70497 , 1808/27203 , 20.500.12575/66988 , 2440/114957 , 11571/1212389 , 1959.3/463528 , 11343/259003 , 10210/258510
doi: 10.1140/epjc/s10052-017-4756-2 , 10.60692/pyd23-21b30 , 10.48550/arxiv.1612.01456 , 10.3204/pubdb-2017-08780 , 10.60692/2rvyn-2qz90 , 10.3204/pubdb-2016-06038
pmid: 28579919
pmc: PMC5434979
arXiv: 1612.01456
handle: 10481/63119 , https://repository.ubn.ru.nl/handle/2066/173623 , 11588/708984 , 11245.1/e49fe59e-cd5b-45bf-9b82-8da0757662f7 , 20.500.11851/9731 , 2066/173623 , 2434/491077 , 10316/108154 , 10400.26/27248 , 20.500.11770/268453 , 20.500.11820/6cb8eae9-f64e-47c0-a30b-ecc4a0e1227c , 11572/180346 , 11390/1109679 , 11368/3090243 , 2108/179613 , 11590/328901 , 11367/65886 , 11567/874397 , 11568/868448 , 11587/415751 , 11585/600890 , 10722/242244 , 20.500.12575/70497 , 1808/27203 , 20.500.12575/66988 , 2440/114957 , 11571/1212389 , 1959.3/463528 , 11343/259003 , 10210/258510
Cet article décrit les algorithmes de reconstruction et d'identification des électrons dans la région centrale du détecteur ATLAS du Grand collisionneur de hadrons (LHC). Ces algorithmes ont été utilisés pour tous les résultats ATLAS avec des électrons à l'état final qui sont basés sur les données de collision pp 2012 produites par le LHC à $ \sqrt{\mathrm{s}}$ = 8 TeV. L'efficacité de ces algorithmes, ainsi que le taux d'identification erronée de la charge, sont mesurés dans les données et évalués dans des échantillons simulés à l'aide d'électrons provenant des désintégrations de $Z\rightarrow ee $ , $ Z\ rightarrow ee\gamma $ et $J/\psi \rightarrow ee$ . Pour ces mesures d'efficacité, l'ensemble complet des données enregistrées, correspondant à une luminosité intégrée de 20,3 fb$^{-1}$ , est utilisé. Basé sur un nouvel algorithme de reconstruction utilisé en 2012, l'efficacité de reconstruction électronique est de 97% pour les électrons avec $E_\mathrm{T}=15 $ GeV et 99% à $E_\mathrm{T} = 50 $ GeV. En combinant cela avec l'efficacité de critères de sélection supplémentaires pour rejeter les électrons des processus de fond ou des hadrons mal identifiés, l'efficacité de la reconstruction et de l'identification des électrons lors de l'expérience ATLAS varie de 65 % à 95 %, en fonction de l'élan transversal de l'électron et du rejet de fond.
Este artículo describe los algoritmos para la reconstrucción e identificación de electrones en la región central del detector ATLAS en el Gran Colisionador de Hadrones (LHC). Estos algoritmos se utilizaron para todos los resultados de ATLAS con electrones en el estado final que se basan en los datos de colisión de 2012 pp producidos por el LHC a $\sqrt{\mathrm{s}}$ = 8 TeV. La eficiencia de estos algoritmos, junto con la tasa de identificación errónea de carga, se mide en datos y se evalúa en muestras simuladas utilizando electrones de $Z\rightarrow ee$, $Z\rightarrow ee\gamma$ y $J/\psi \rightarrow ee$ decays. Para estas mediciones de eficiencia, se utiliza el conjunto completo de datos registrados, correspondiente a una luminosidad integrada de 20.3 fb$^{-1}$. Según un nuevo algoritmo de reconstrucción utilizado en 2012, la eficiencia de reconstrucción de electrones es del 97% para electrones con $E_\mathrm{T}=15 $ GeV y del 99% a $E_\mathrm{T} = 50 $ GeV. Combinando esto con la eficiencia de los criterios de selección adicionales para rechazar electrones de procesos de fondo o hadrones mal identificados, la eficiencia para reconstruir e identificar electrones en el experimento ATLAS varía de 65% a 95%, dependiendo del impulso transversal del electrón y el rechazo de fondo.
This paper describes the algorithms for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC). These algorithms were used for all ATLAS results with electrons in the final state that are based on the 2012 pp collision data produced by the LHC at $\sqrt{\mathrm{s}}$ = 8 TeV. The efficiency of these algorithms, together with the charge misidentification rate, is measured in data and evaluated in simulated samples using electrons from $Z\rightarrow ee$, $Z\rightarrow ee\gamma$ and $J/\psi \rightarrow ee$ decays. For these efficiency measurements, the full recorded data set, corresponding to an integrated luminosity of 20.3 fb$^{-1}$, is used. Based on a new reconstruction algorithm used in 2012, the electron reconstruction efficiency is 97% for electrons with $E_\mathrm{T}=15$ GeV and 99% at $E_\mathrm{T} = 50$ GeV. Combining this with the efficiency of additional selection criteria to reject electrons from background processes or misidentified hadrons, the efficiency to reconstruct and identify electrons at the ATLAS experiment varies from 65% to 95%, depending on the transverse momentum of the electron and background rejection.
تصف هذه الورقة خوارزميات إعادة بناء وتحديد الإلكترونات في المنطقة الوسطى من كاشف أطلس في مصادم الهادرونات الكبير (LHC). تم استخدام هذه الخوارزميات لجميع نتائج أطلس مع الإلكترونات في الحالة النهائية التي تستند إلى بيانات تصادم 2012 pp التي ينتجها LHC عند $\sqrt {\ mathrm{s}}$= 8 TeV. يتم قياس كفاءة هذه الخوارزميات، جنبًا إلى جنب مع معدل الخطأ في تحديد الشحنة، في البيانات وتقييمها في عينات محاكاة باستخدام إلكترونات من $Z\rightarrow ee$ و $Z\rightarrow ee\gamma$ و $J /\psi \rightarrow ee$ تتحلل. بالنسبة لقياسات الكفاءة هذه، يتم استخدام مجموعة البيانات المسجلة الكاملة، المقابلة لمعان متكامل قدره 20.3 fb $^{-1 }$. استنادًا إلى خوارزمية إعادة بناء جديدة مستخدمة في عام 2012، تبلغ كفاءة إعادة بناء الإلكترون 97 ٪ للإلكترونات ذات $E _\mathrm{T}=15 $ GeV و 99 ٪ عند $E _\mathrm{T} = 50 $ GeV. عند الجمع بين هذا وبين كفاءة معايير الاختيار الإضافية لرفض الإلكترونات من العمليات الخلفية أو الهادرونات التي تم تحديدها بشكل خاطئ، تتراوح كفاءة إعادة بناء وتحديد الإلكترونات في تجربة أطلس من 65 ٪ إلى 95 ٪، اعتمادًا على الزخم العرضي للإلكترون ورفض الخلفية.
Большой адронный коллайдер, Physics and Astronomy (miscellaneous), 5106 Nuclear and Plasma Physics (for-2020), Nuclear physics, QC770-798, Search for Quark-Gluon Plasma in Heavy-Ion Collisions, Astrophysics, Atomic, 510, High Energy Physics - Experiment, Luminosity, Subatomär fysik, High Energy Physics - Experiment (hep-ex), Particle and Plasma Physics, Subatomic Physics, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], 5107 Particle and high energy physics (for-2020), High-Energy Collider, info:eu-repo/classification/ddc/530, протон-протонные столкновения, 5107 Particle and High Energy Physics (for-2020), QC, LHC; ATLAS; High Energy Physics, Quantum Physics, Physics, 51 Physical Sciences (for-2020), Particle physics, Particle and High Energy Physics, 0206 Quantum Physics (for), Nuclear and Plasma Physics, Nuclear & Particles Physics, Settore FIS/01 - FISICA SPERIMENTALE, QB460-466, Q1 Science (General) / természettudomány általában, Photon Counting, Large Hadron Collider, Detector Performance, Physical Sciences, Proton, Nuclear and High Energy Physics, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], Regular Article - Experimental Physics, Advancements in Particle Detector Technology, 610, Particle and Plasma Physics (for), molecular and optical physics (for-2020), FOS: Physical sciences, ATLAS experiment, 530, Electron, 5102 Atomic, Nuclear and particle physics. Atomic energy. Radioactivity, 539, Nuclear, p p: scattering; p p: colliding beams; Z0: leptonic decay; Z0: radiative decay; J/psi(3100): leptonic decay; electron: pair production; electron: background; electron: transverse momentum; electron: particle identification; particle identification: efficiency; CERN LHC Coll; ATLAS; central region; experimental results; Z0 --> electron positron; Z0 --> electron positron photon; J/psi(3100) --> electron positron; 8000 GeV-cms, High Energy Physics, molecular and optical physics, Particle Physics and High-Energy Collider Experiments, Engineering (miscellaneous); Physics and Astronomy (miscellaneous), ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика, Engineering (miscellaneous), Biology, ATLAS Collaboration, 5101 Astronomical sciences (for-2020), hep-ex, 500, Molecular, Nuclear & Particles Physics (science-metrix), Paleontology, Detector, Optics, Atlas (anatomy), Galaxy, Physics and Astronomy, Hadron, Astronomical sciences, 0202 Atomic, Experimental High Energy Physics, ATLAS, детектор, Particle Detectors, 500.2, ddc: ddc:500.2
Большой адронный коллайдер, Physics and Astronomy (miscellaneous), 5106 Nuclear and Plasma Physics (for-2020), Nuclear physics, QC770-798, Search for Quark-Gluon Plasma in Heavy-Ion Collisions, Astrophysics, Atomic, 510, High Energy Physics - Experiment, Luminosity, Subatomär fysik, High Energy Physics - Experiment (hep-ex), Particle and Plasma Physics, Subatomic Physics, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], 5107 Particle and high energy physics (for-2020), High-Energy Collider, info:eu-repo/classification/ddc/530, протон-протонные столкновения, 5107 Particle and High Energy Physics (for-2020), QC, LHC; ATLAS; High Energy Physics, Quantum Physics, Physics, 51 Physical Sciences (for-2020), Particle physics, Particle and High Energy Physics, 0206 Quantum Physics (for), Nuclear and Plasma Physics, Nuclear & Particles Physics, Settore FIS/01 - FISICA SPERIMENTALE, QB460-466, Q1 Science (General) / természettudomány általában, Photon Counting, Large Hadron Collider, Detector Performance, Physical Sciences, Proton, Nuclear and High Energy Physics, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], Regular Article - Experimental Physics, Advancements in Particle Detector Technology, 610, Particle and Plasma Physics (for), molecular and optical physics (for-2020), FOS: Physical sciences, ATLAS experiment, 530, Electron, 5102 Atomic, Nuclear and particle physics. Atomic energy. Radioactivity, 539, Nuclear, p p: scattering; p p: colliding beams; Z0: leptonic decay; Z0: radiative decay; J/psi(3100): leptonic decay; electron: pair production; electron: background; electron: transverse momentum; electron: particle identification; particle identification: efficiency; CERN LHC Coll; ATLAS; central region; experimental results; Z0 --> electron positron; Z0 --> electron positron photon; J/psi(3100) --> electron positron; 8000 GeV-cms, High Energy Physics, molecular and optical physics, Particle Physics and High-Energy Collider Experiments, Engineering (miscellaneous); Physics and Astronomy (miscellaneous), ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика, Engineering (miscellaneous), Biology, ATLAS Collaboration, 5101 Astronomical sciences (for-2020), hep-ex, 500, Molecular, Nuclear & Particles Physics (science-metrix), Paleontology, Detector, Optics, Atlas (anatomy), Galaxy, Physics and Astronomy, Hadron, Astronomical sciences, 0202 Atomic, Experimental High Energy Physics, ATLAS, детектор, Particle Detectors, 500.2, ddc: ddc:500.2
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 69 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
| views | 7 | |
| downloads | 3 |

Views provided by UsageCounts
Downloads provided by UsageCounts