Rectorate / Rektörlük

Permanent URI for this collectionhttps://hdl.handle.net/11147/6849

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  • Article
    Citation - WoS: 143
    Citation - Scopus: 143
    Energy Calibration and Resolution of the Cms Electromagnetic Calorimeter in Pp Collisions at ?s = 7 Tev
    (IOP Publishing Ltd., 2013) CMS Collaboration; Karapınar, Güler
    The energy calibration and resolution of the electromagnetic calorimeter (ECAL) of the CMS detector have been determined using proton-proton collision data from LHC operation in 2010 and 2011 at a centre-of-mass energy of √s = 7 TeV with integrated luminosities of about 5fb-1. Crucial aspects of detector operation, such as the environmental stability, alignment, and synchronization, are presented. The in-situ calibration procedures are discussed in detail and include the maintenance of the calibration in the challenging radiation environment inside the CMS detector. The energy resolution for electrons from Z-boson decays is better than 2% in the central region of the ECAL barrel (for pseudorapidity |η| < 0.8) and is 2-5% elsewhere. The derived energy resolution for photons from 125 GeV Higgs boson decays varies across the barrel from 1.1% to 2.6% and from 2.2% to 5% in the endcaps. The calibration of the absolute energy is determined from Ze→+e - decays to a precision of 0.4% in the barrel and 0.8% in the endcaps. © 2013 CERN for the benefit of the CMS collaboration.
  • Article
    Citation - WoS: 80
    Citation - Scopus: 81
    Identification and Filtering of Uncharacteristic Noise in the Cms Hadron Calorimeter
    (IOP Publishing Ltd., 2010) Demir, Durmuş Ali; Karapınar, Güler
    Commissioning studies of the CMS hadron calorimeter have identified sporadic uncharacteristic noise and a small number of malfunctioning calorimeter channels. Algorithms have been developed to identify and address these problems in the data. The methods have been tested on cosmic ray muon data, calorimeter noise data, and single beam data collected with CMS in 2008. The noise rejection algorithms can be applied to LHC collision data at the trigger level or in the offline analysis. The application of the algorithms at the trigger level is shown to remove 90% of noise events with fake missing transverse energy above 100 GeV, which is sufficient for the CMS physics trigger operation.