This site uses cookies. By continuing to use this site you agree to our use of cookies. To find out more, see our Privacy and Cookies policy.
Close this notification
NOTICE: Ensuring subscriber access to content on IOPscience throughout the coronavirus outbreak - see our remote access guidelines.
Find article
The International School for Advanced Studies (SISSA) logo

Click here to close this overlay, or press the "Escape" key on your keyboard.

The International School for Advanced Studies (SISSA) logo

The International School for Advanced Studies (SISSA) was founded in 1978 and was the first institution in Italy to promote post-graduate courses leading to a Doctor Philosophiae (or PhD) degree. A centre of excellence among Italian and international universities, the school has around 65 teachers, 100 post docs and 245 PhD students, and is located in Trieste, in a campus of more than 10 hectares with wonderful views over the Gulf of Trieste.

SISSA hosts a very high-ranking, large and multidisciplinary scientific research output. The scientific papers produced by its researchers are published in high impact factor, well-known international journals, and in many cases in the world's most prestigious scientific journals such as Nature and Science. Over 900 students have so far started their careers in the field of mathematics, physics and neuroscience research at SISSA.

Visit www.sissa.it

.
The following article is OPEN ACCESS

Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at √s = 8  TeV

Published 10 June 2015 • © CERN 2015 for the benefit of the CMS collaboration.
, ,

Download Article PDF

1773 Total downloads

Share this article

Article information
Author e-mails

cms-publication-committee-chair@cern.ch

Dates

Received 9 February 2015
Accepted 14 April 2015
Published

Citation

2015 JINST 10 P06005

Create citation alert

DOI

https://doi.org/10.1088/1748-0221/10/06/P06005

E-print

http://arxiv.org/abs/1502.02701

Buy this article in print

Journal RSS feed

1748-0221/10/06/P06005

Abstract

The performance and strategies used in electron reconstruction and selection at CMS are presented based on data corresponding to an integrated luminosity of 19.7 fb−1, collected in proton-proton collisions at √s = 8 TeV at the CERN LHC. The paper focuses on prompt isolated electrons with transverse momenta ranging from about 5 to a few 100 GeV. A detailed description is given of the algorithms used to cluster energy in the electromagnetic calorimeter and to reconstruct electron trajectories in the tracker. The electron momentum is estimated by combining the energy measurement in the calorimeter with the momentum measurement in the tracker. Benchmark selection criteria are presented, and their performances assessed using Z, Υ, and J/ψ decays into e+ + e− pairs. The spectra of the observables relevant to electron reconstruction and selection as well as their global efficiencies are well reproduced by Monte Carlo simulations. The momentum scale is calibrated with an uncertainty smaller than 0.3%. The momentum resolution for electrons produced in Z boson decays ranges from 1.7 to 4.5%, depending on electron pseudorapidity and energy loss through bremsstrahlung in the detector material.

Export citation and abstract BibTeX RIS

cc-by

published under the terms of the Creative Commons Attribution 3.0 Licenseby IOP Publishing Ltd and Sissa Medialab srl. Any further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation and DOI.

References

  • [1]
    CMS collaboration, 2002 CMS The TriDAS Project: Technical Design Report, Volume 2: Data Acquisition and High-Level Trigger, CMS Technical Design Report CERN-LHCC-2002-026

    Google Scholar

  • [2]
    CMS collaboration, 2006 CMS Physics: Technical Design Report Volume 1: Detector Performance and Software, CMS Technical Design Report CERN-LHCC-2006-001

    Google Scholar

  • [3]
    S. Baffioni et al., 2007 Electron reconstruction in CMS, Eur. Phys. J. C 49 1099

    CrossrefGoogle Scholar

  • [4]
    CMS collaboration, 2013 Energy Calibration and Resolution of the CMS Electromagnetic Calorimeter in pp Collisions at s1/2 = 7 TeV JINST 8 P09009 [1306.2016]

    IOPsciencePreprintGoogle Scholar

  • [5]
    CMS collaboration, 2014 Description and performance of track and primary-vertex reconstruction with the CMS tracker JINST 9 P10009 [1405.6569]

    IOPsciencePreprintGoogle Scholar

  • [6]
    CMS collaboration, 2010 Electron reconstruction and identification at s1/2 = 7 TeV, CMS Physics Analysis Summary CMS-PAS-EGM-10-004

    Google Scholar

  • [7]
    CMS collaboration, 2011 Electron commissioning results at s1/2=7 TeV, CMS Detector Performance Summary CERN-CMS-DP-2011-003

    Google Scholar

  • [8]
    CMS collaboration, 2013 Electron performance with 19.6 fb−1 of data collected at s1/2 = 8 TeV with the CMS detector., CMS Detector Performance Summary CERN-CMS-DP-2013-003

    Google Scholar

  • [9]
    CMS collaboration, 2014 Measurement of the properties of a Higgs boson in the four-lepton final state, Phys. Rev. D 89 092007 [1312.5353]

    CrossrefPreprintGoogle Scholar

  • [10]
    CMS collaboration, 2013 Search for heavy narrow dilepton resonances in pp collisions at s1/2=7 TeV and s1/2=8 TeV, Phys. Lett. B 720 63 [1212.6175]

    CrossrefPreprintGoogle Scholar

  • [11]
    CMS collaboration, 2008 The CMS experiment at the CERN LHC JINST 3 S08004

    IOPscienceGoogle Scholar

  • [12]
    CMS collaboration, 2013 CMS Luminosity Based on Pixel Cluster Counting — Summer 2013 Update, CMS Physics Analysis Summary CMS-PAS-LUM-13-001

    Google Scholar

  • [13]
    CMS collaboration, 2014 Alignment of the CMS tracker with LHC and cosmic ray data JINST 9 P06009 [1403.2286]

    IOPsciencePreprintGoogle Scholar

  • [14]
    J. Alwall et al., 2014 The automated computation of tree-level and next-to-leading order differential cross sections and their matching to parton shower simulations J. High Energy Phys. JHEP07(2014)079 [1405.0301]

    CrossrefPreprintGoogle Scholar

  • [15]
    P. Nason, 2004 A new method for combining NLO QCD with shower Monte Carlo algorithms J. High Energy Phys. JHEP11(2004)040 [hep-ph/0409146]

    IOPsciencePreprintGoogle Scholar

  • [16]
    S. Frixione, P. Nason and C. Oleari, 2007 Matching NLO QCD computations with Parton Shower simulations: the POWHEG method J. High Energy Phys. JHEP11(2007)070 [0709.2092]

    IOPsciencePreprintGoogle Scholar

  • [17]
    S. Alioli, P. Nason, C. Oleari and E. Re, 2010 A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX J. High Energy Phys. JHEP06(2010)043 [1002.2581]

    CrossrefPreprintGoogle Scholar

  • [18]
    T. Sjöstrand, S. Mrenna and P.Z. Skands, 2006 PYTHIA 6.4 physics and manual J. High Energy Phys. JHEP05(2006)026 [hep-ph/0603175]

    IOPsciencePreprintGoogle Scholar

  • [19]
    CMS collaboration, 2013 Study of the underlying event at forward rapidity in pp collisions at s1/2= 0.9, 2.76 and 7 TeV J. High Energy Phys. JHEP04(2013)072 [1302.2394]

    CrossrefPreprintGoogle Scholar

  • [20]
    GEANT4 collaboration, S. Agostinelli et al., 2003 GEANT4: A simulation toolkit, Nucl. Instrum. Meth. A 506 250

    CrossrefGoogle Scholar

  • [21]
    J. Allison et al., 2006 GEANT4 developments and applications, IEEE Trans. Nucl. Sci. 53 270

    CrossrefGoogle Scholar

  • [22]
    CMS collaboration, 2009 Particle-Flow Event Reconstruction in CMS and Performance for Jets, Taus and MET, CMS Physics Analysis Summary CMS-PAS-PFT-09-001

    Google Scholar

  • [23]
    CMS collaboration, 2010 Commissioning of the Particle-flow Event Reconstruction with the first LHC collisions recorded in the CMS detector, CMS Physics Analysis Summary CMS-PAS-PFT-10-001

    Google Scholar

  • [24]
    P. Adzic et al., 2007 Energy resolution of the barrel of the CMS electromagnetic calorimeter JINST 2 P04004

    IOPscienceGoogle Scholar

  • [25]
    W. Adam, R. Fruhwirth, A. Strandlie and T. Todorov, 2003 Reconstruction of electrons with the Gaussian sum filter in the CMS tracker at LHC, eConf C 0303241 TULT009 [physics/0306087]

    IOPsciencePreprintGoogle Scholar

  • [26]
    A. Hocker et al., TMVA — Toolkit for Multivariate Data Analysis, PoS(ACAT)040 [physics/0703039]

    PreprintGoogle Scholar

  • [27]
    CMS collaboration, Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at s1/2 = 8 TeV, submitted to JINST, [1502.02702]

    PreprintGoogle Scholar

  • [28]
    CMS collaboration, 2012 Measurement of the electron charge asymmetry in inclusive W production in pp collisions at s1/2=7 TeV, Phys. Rev. Lett. 109 111806 [1206.2598]

    CrossrefPreprintGoogle Scholar

  • [29]
    CMS collaboration, 2014 Search for new physics in events with same-sign dileptons and jets in pp collisions at s1/2 = 8 TeV J. High Energy Phys. JHEP01(2014)163 [1311.6736]

    CrossrefPreprintGoogle Scholar

  • [30]
    M. Anfreville et al., 2008 Laser monitoring system for the CMS lead tungstate crystal calorimeter, Nucl. Instrum. Meth. A 594 292

    CrossrefGoogle Scholar

  • [31]
    L.-Y. Zhang et al., 2005 Performance of the monitoring light source for the CMS lead tungstate crystal calorimeter, IEEE Trans. Nucl. Sci. 52 1123

    CrossrefGoogle Scholar

  • [32]
    J.H. Friedman, 2001 Greedy function approximation: A gradient boosting machine, Ann. Stat. 29 1189

    CrossrefGoogle Scholar

  • [33]
    S. Catani, Y.L. Dokshitzer, M.H. Seymour and B.R. Webber, 1993 Longitudinally invariant Kt clustering algorithms for hadron hadron collisions, Nucl. Phys. B 406 187

    CrossrefGoogle Scholar

  • [34]
    S.D. Ellis and D.E. Soper, 1993 Successive combination jet algorithm for hadron collisions, Phys. Rev. D 48 3160 [hep-ph/9305266]

    CrossrefPreprintGoogle Scholar

  • [35]
    M. Oreglia, 1980 A study of the reactions ψ′ &to; γ γ ψ, Ph.D. Thesis, Stanford University, SLAC Report SLAC-R-236, http://www.slac.stanford.edu/pubs/slacreports/slac-r-236.html

    Google Scholar

  • [36]
    Particle Data Group collaboration, K.A. Olive et al., 2014 The Review of Particle Physics, Chin. Phys. C 38 090001

    IOPscienceGoogle Scholar

  • [37]
    GEANT4 collaboration, 2013 GEANT4 10.0 Release Notes, http://geant4.cern.ch/support/ReleaseNotes4.10.0

    Google Scholar

  • [38]
    M. Pivk and F.R. Le Diberder, 2005 SPlot: A statistical tool to unfold data distributions, Nucl. Instrum. Meth. A 555 356 [physics/0402083]

    CrossrefPreprintGoogle Scholar

  • [39]
    M. Cacciari and G.P. Salam, 2008 Pileup subtraction using jet areas, Phys. Lett. B 659 119 [0707.1378]

    CrossrefPreprintGoogle Scholar

  • [40]
    M. Cacciari, G.P. Salam and G. Soyez, 2008 The Catchment Area of Jets J. High Energy Phys. JHEP04(2008)005 [0802.1188]

    IOPsciencePreprintGoogle Scholar

  • [41]
    M. Cacciari, G.P. Salam and G. Soyez, 2012 FastJet User Manual, Eur. Phys. J. C 72 1896 [1111.6097]

    CrossrefPreprintGoogle Scholar

  • [42]
    CMS collaboration, 2011 Measurements of Inclusive W and Z Cross sections in pp Collisions at s1/2=7 TeV J. High Energy Phys. JHEP01(2011)080 [1012.2466]

    CrossrefPreprintGoogle Scholar

  • [43]
    CMS collaboration, 2012 Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC, Phys. Lett. B 716 30 [1207.7235]

    CrossrefPreprintGoogle Scholar

  • [44]
    CMS collaboration, 2013 Observation of a new boson with mass near 125 GeV in pp collisions at s1/2 = 7 and 8 TeV J. High Energy Phys. JHEP06(2013)081 [1303.4571]

    CrossrefPreprintGoogle Scholar

  • [45]
    CMS collaboration, Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 TeV, [1412.8662]

    PreprintGoogle Scholar

Export references: BibTeX RIS