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 |
Keywords: | Cluster finding Pattern recognition Tellurium compounds Compact Muon Solenoid Large Hadron Collider (LHC) |
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 Rectorate / Rektörlük Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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