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Jet Uncertainties

  • Steven SchrammEmail author
Chapter
  • 354 Downloads
Part of the Springer Theses book series (Springer Theses)

Abstract

The JES calibration scheme detailed in Sect.  4.3 consists of several steps, and thus systematic biases can be introduced in many places during the derivation. The in situ analyses measure the uncertainties with respect to \(p_\mathrm {T}^{\mathrm {jet}}\) and \(\eta \) by quantifying the calorimeter jet response differences observed between data and simulation in well-understood topologies. This accounts for the majority of the possible differences. Additional systematic uncertainties accounting for the MC simulation framework used (such as GEANT4 or AFII), pileup suppression modelling, flavour dependencies, and punch-through are also independently evaluated.

Keywords

Systematic Uncertainty Light Quark Nuisance Parameter Uncertainty Component Uncertainty Source 
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.
    ATLAS Collaboration, Jet energy measurement and its systematic uncertainty in proton–proton collisions at \(\sqrt{s}=7\) TeV with the ATLAS detector. arXiv:1406.0076 [hep-ex]
  2. 2.
    ATLAS Collaboration, Jet energy scale uncertainty correlations between ATLAS and CMS. Tech. Rep. ATL-PHYS-PUB-2014-020, CERN, Geneva (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.Section de PhysiqueUniversity of GenevaGenevaSwitzerland

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