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Part of the Springer Theses book series (Springer Theses)

Abstract

The unfolding procedure alters the measured statistical correlations between bins resulting in large off-diagonal covariances.

Keywords

Central Collision Asymmetry Distribution Asymmetry Analysis Dijet Asymmetry Correlate Systematic Error 
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.
    PHENIX Collaboration, Formation of dense partonic matter in relativistic nucleus-nucleus collisions at RHIC: experimental evaluation by the PHENIX collaboration. Nucl. Phys. A757, 184–283 (2005). arXiv:nucl-ex/0410003Google Scholar
  2. 2.
    Atlas Collaboration, Observation of a centrality-dependent dijet asymmetry in lead-lead collisions at \(\sqrt{{s}_{\text{ NN }}}=2.76\) TeV with the ATLAS detector at the LHC. Phys. Rev. Lett. 105, 252303 (2010). arXiv:1011.6182Google Scholar
  3. 3.
    B.A. Cole, Jet probes of \(\sqrt{{s}_{\text{ NN }}}=2.76\) TeV Pb+Pb collisions with the ATLAS detector. J. Phys. G G38, 124021 (2011)ADSCrossRefGoogle Scholar
  4. 4.
    A. Angerami, Measurement of jets and jet suppression in \(\sqrt{{s}_{\text{ NN }}}=2.76\) TeV lead-lead collisions with the ATLAS detector at the LHC. J. Phys. G G38, 124085 (2011). arXiv:1108.5191Google Scholar
  5. 5.
    ATLAS Collaboration, Centrality dependence of jet yields and jet fragmentation in lead-lead collisions at \(\sqrt{{s}_{\text{ NN }}} = 2.76\) TeV with the ATLAS detector at the LHC, ATLAS-CONF-2011-075 (2011), http://cdsweb.cern.ch/record/1353220
  6. 6.
    ATLAS Collaboration, Measurement of inclusive jet and dijet cross sections in proton-proton collisions at 7 TeV centre-of-mass energy with the ATLAS detector. Eur. Phys. J. C71, 1512 (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of PhysicsColumbia UniversityNew YorkUSA

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