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Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC

CMS Collaboration; Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Bergauer, T.; Dragicevic, M.; Escalante Del Valle, A.; Frühwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Pitters, F. M.; Rad, N.; Schieck, J.; Schöfbeck, R.; Spanring, M.; Templ, S.; ... mehr

Abstract:

The performance is presented of the reconstruction and identification algorithms for electrons and photons with the CMS experiment at the LHC. The reported results are based on proton-proton collision data collected at a center-of-mass energy of 13 TeV and recorded in 2016–2018, corresponding to an integrated luminosity of 136 fb$^{-1}$. Results obtained from lead-lead collision data collected at √s$_{NN}$ 5.02 TeV are also presented. Innovative techniques are used to reconstruct the electron and photon signals in the detector and to optimize the energy resolution. Events with electrons and photons in the final state are used to measure the energy resolution and energy scale uncertainty in the recorded events. The measured energy resolution for electrons produced in Z boson decays in proton-proton collision data ranges from 2 to 5%, depending on electron pseudorapidity and energy loss through bremsstrahlung in the detector material. The energy scale in the same range of energies is measured with an uncertainty smaller than 0.1 (0.3)% in the barrel (endcap) region in proton-proton collisions and better than 1 (3)% in the barrel (endcap) region in heavy ion collisions. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000136873
Veröffentlicht am 03.08.2022
Originalveröffentlichung
DOI: 10.1088/1748-0221/16/05/P05014
Scopus
Zitationen: 152
Web of Science
Zitationen: 121
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Zitationen: 120
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Materialien - Werkstoff- und Biomechanik (IAM-WBM)
Institut für Astroteilchenphysik (IAP)
Institut für Experimentelle Teilchenphysik (ETP)
Institut für Geographie und Geoökologie (IFGG)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Institut für Telematik (TM)
Institut für Theoretische Teilchenphysik (TTP)
Scientific Computing Center (SCC)
Young Investigator Network (YIN)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 05.2021
Sprache Englisch
Identifikator ISSN: 1748-0221
KITopen-ID: 1000136873
Erschienen in Journal of Instrumentation
Verlag Institute of Physics Publishing Ltd (IOP Publishing Ltd)
Band 16
Heft 5
Seiten Art. Nr.: P05014
Vorab online veröffentlicht am 13.05.2021
Nachgewiesen in Web of Science
Dimensions
Scopus
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