Advertisement

Reconstruction of Physics Objects

  • Javier Montejo BerlingenEmail author
Chapter
Part of the Springer Theses book series (Springer Theses)

Abstract

This chapter describes the reconstruction of the main physics objects that are relevant for the analyses presented in this dissertation. The identification, reconstruction and calibration of electrons, muons, jets, b-jets and missing transverse energy is discussed in detail. A brief description of the systematic uncertainties associated with these physics objects is also included.

Keywords

Transverse Momentum Systematic Uncertainty Primary Vertex Secondary Vertex Muon Spectrometer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Cornelissen T, Elsing M, Fleischmann S, Liebig W, Moyse E, Salzburger A (2007) Concepts, design and implementation of the ATLAS new tracking (NEWT), ATL-SOFT-PUB-2007-007Google Scholar
  2. 2.
    ATLAS collaboration (2010) Performance of primary vertex reconstruction in proton–proton collisions at \(\sqrt{s}=\)7 TeV in the ATLAS experiment, ATLAS-CONF-2010-069Google Scholar
  3. 3.
    ATLAS collaboration (2014) Electron reconstruction and identification efficiency measurements with the ATLAS detector using the 2011 LHC proton-proton collision data. Eur Phys J C 74:2941. arXiv:1404.2240 [hep-ex]
  4. 4.
    Lampl W, Laplace S, Lelas D, Loch P, Ma H et al (2008) Calorimeter clustering algorithms: description and performance, ATL-LARG-PUB-2008-002Google Scholar
  5. 5.
    ATLAS collaboration, Electron and photon energy calibration with the ATLAS detector using LHC Run 1 data. arXiv:1407.5063 [hep-ex]
  6. 6.
    ATLAS collaboration, Electron efficiency measurements for 2012 and 2011 data, ATL-COM-PHYS-2013-1287Google Scholar
  7. 7.
    ATLAS collaboration, Object selection and calibration, background estimations and MC samples for top quark analyses using the full 2012 data set, ATL-COM-PHYS-2013-1016Google Scholar
  8. 8.
    ATLAS collaboration (2014) Measurement of the muon reconstruction performance of the ATLAS detector using 2011 and 2012 LHC proton-proton collision data. Eur Phys J C 74:3130. arXiv:1407.3935 [hep-ex]
  9. 9.
    ATLAS collaboration, Object selection and calibration, background estimations and MC samples for the winter 2013 top quark analyses with 2012 data, ATL-COM-PHYS-2013-088Google Scholar
  10. 10.
    Cacciari M, Salam GP, Soyez G (2008) The Anti-k(t) jet clustering algorithm. JHEP 0804:063 arXiv:0802.1189 [hep-ph]ADSCrossRefGoogle Scholar
  11. 11.
    Salam GP (2010) Towards Jetography. Eur Phys J C 67:637 arXiv:0906.1833 [hep-ph]ADSCrossRefGoogle Scholar
  12. 12.
    ATLAS collaboration (2013) Jet energy measurement with the ATLAS detector in proton–proton collisions at \(\sqrt{s}=7\) TeV. Eur Phys J C 73:2304. arXiv:1112.6426 [hep-ex]
  13. 13.
    ATLAS collaboration (2013) Pile-up subtraction and suppression for jets in ATLAS, ATLAS-CONF-2013-083Google Scholar
  14. 14.
    Cacciari M, Salam GP, Soyez G (2008) The catchment area of jets. J High Energy Phys 04. arXiv:0802.1188
  15. 15.
    ATLAS collaboration (2015) Jet energy measurement and its systematic uncertainty in proton–proton collisions at \(\sqrt{s}=7\) TeV with the ATLAS detector. Eur Phys J C 75:17. arXiv:1406.0076 [hep-ex]
  16. 16.
    ATLAS collaboration (2013) Single hadron response measurement and calorimeter jet energy scale uncertainty with the ATLAS detector at the LHC. Eur Phys J C 73(3):2305. arXiv:1203.1302 [hep-ex]
  17. 17.
    ATLAS collaboration, Flavour dependence of jet response and quark/gluon tagging, ATLAS-CONF-2012-138Google Scholar
  18. 18.
    ATLAS collaboration, Jet energy measurement and systematic uncertainties using tracks for jets and for b-quark jets produced in proton-proton collisions at \(\sqrt{s} = 7\) TeV in the ATLAS detector, ATLAS-CONF-2013-002Google Scholar
  19. 19.
    ATLAS collaboration (2015) Data-driven determination of the energy scale and resolution of jets reconstructed in the ATLAS calorimeters using dijet and multijet events at \(\sqrt{s}=8\) TeV, ATLAS-CONF-2015-017Google Scholar
  20. 20.
    ATLAS collaboration (2011) Commissioning of the ATLAS high-performance b-tagging algorithms in the \(\sqrt{s} = 7\) TeV collision data, ATLAS-CONF-2011-102Google Scholar
  21. 21.
    ATLAS collaboration (2008) A new inclusive secondary vertex algorithm for b-jet tagging in ATLAS. J Phys Conf Ser 119:032032Google Scholar
  22. 22.
    ATLAS collaboration (2015) Performance and calibration of the jet fitter charm algorithm for c-jet identification, ATL-PHYS-PUB-2015-001Google Scholar
  23. 23.
    ATLAS collaboration, Measurement of the b-tag efficiency in a sample of jets containing muons with 5 fb\(^{-1}\) of data from the ATLAS detector, ATLAS-CONF-2012-043Google Scholar
  24. 24.
    ATLAS collaboration, Calibration of b-tagging using dileptonic top pair events in a combinatorial likelihood approach with the ATLAS experiment, ATL-COM-PHYS-2014-0.04Google Scholar
  25. 25.
    ATLAS collaboration, b-jet tagging calibration on c-jets containing D* mesons, ATLAS-CONF-2012-039Google Scholar
  26. 26.
    ATLAS collaboration, Measurement of the mistag rate of \(b\)-tagging algorithms with 5 fb\(^{-1}\) of data collected by the ATLAS detector, ATLAS-CONF-2012-040Google Scholar
  27. 27.
    ATLAS collaboration (2013) Performance of missing transverse momentum reconstruction in ATLAS studied in proton–proton collisions recorded in 2012 at 8 TeV, ATLAS-CONF-2013-082Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Instituto de Física de Altas EnergíasUniversitat Autónoma de BarcelonaBellaterra, BarcelonaSpain

Personalised recommendations