Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5905
Title: Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at ?s = 8 TeV
Authors: CMS Collaboration
Karapınar, Güler
Karapınar, Güler
Keywords: Cluster finding
Pattern recognition
Tellurium compounds
Compact Muon Solenoid
Large Hadron Collider (LHC)
Issue Date: Aug-2015
Publisher: IOP Publishing Ltd.
Source: Khachatryan, V., Sirunyan, A.M., Tumasyan, A., Adam, W., Bergauer, T., Dragicevic, M.,...CMS Collaboration (2015). Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at √s = 8 TeV. Journal of Instrumentation, 10(8). doi:10.1088/1748-0221/10/08/P08010
Abstract: A description is provided of the performance of the CMS detector for photon reconstruction and identification in proton-proton collisions at a centre-of-mass energy of 8 TeV at the CERN LHC. Details are given on the reconstruction of photons from energy deposits in the electromagnetic calorimeter (ECAL) and the extraction of photon energy estimates. The reconstruction of electron tracks from photons that convert to electrons in the CMS tracker is also described, as is the optimization of the photon energy reconstruction and its accurate modelling in simulation, in the analysis of the Higgs boson decay into two photons. In the barrel section of the ECAL, an energy resolution of about 1% is achieved for unconverted or late-converting photons from Hγγ decays. Different photon identification methods are discussed and their corresponding selection efficiencies in data are compared with those found in simulated events. © CERN 2015 for the benefit of the CMS collaboration.
URI: http://doi.org/10.1088/1748-0221/10/08/P08010
http://hdl.handle.net/11147/5905
ISSN: 1748-0221
Appears in Collections:Mathematics / Matematik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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