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  4. Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV
 
research article

Performance of Photon Reconstruction and Identification with the CMS Detector in Proton-Proton Collisions at sqrt(s) = 8 TeV

Khachatryan, Vardan
•
Sirunyan, Albert M
•
Tumasyan, Armen
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August 18, 2015
Journal of Instrumentation

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 H→γγ decays. Different photon identification methods are discussed and their corresponding selection efficiencies in data are compared with those found in simulated events.

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Type
research article
DOI
10.1088/1748-0221/10/08/P08010
ArXiv ID

1502.02702

Author(s)
Khachatryan, Vardan
Sirunyan, Albert M
Tumasyan, Armen
Adam, Wolfgang
Bergauer, Thomas
Dragicevic, Marko
Erö, Janos
Friedl, Markus
Fruehwirth, Rudolf
Ghete, Vasile Mihai
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Date Issued

2015-08-18

Published in
Journal of Instrumentation
Volume

10

Issue

08

Start page

P08010

End page

P08010

Subjects

photon: particle identification

•

p p: scattering

•

CMS

•

calorimeter: electromagnetic

•

Higgs particle: decay

•

electron: tracks

•

energy resolution

•

efficiency

•

performance

•

track data analysis

•

data analysis method

•

numerical calculations

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
LPHE  
Available on Infoscience
February 17, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/165649
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