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Conclusions

  • Jana NovakovaEmail author
Chapter
Part of the Springer Theses book series (Springer Theses)

Abstract

The Monte Carlo simulations of the Tile Calorimeter have been described, especially the performance of the electronic noise and the pile-up simulations. The double gaussian noise shape has been implemented in the simulations and it leads to a good agreement of the cell energy spectrum with data. However, the electronic noise description does not include all features observed in data, namely correlations between individual channels. The dependence of the pile-up contribution on the average number of minimum bias collisions per bunch crossing and on the bunch separation has been shown. The pile-up contribution is evaluated by means of the cell energy spread in bins of \(|\eta |\) and radial sample for the considered pile-up conditions. The double gaussian parameters as well as pile-up constants are inserted in the database and are used to define \(2 \sigma \) and \(4\sigma \) limits in the clustering algorithm.

Keywords

Monte Carlo Simulation Cluster Algorithm Invariant Mass Total Cross Section Systematic Uncertainty 
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.
    The ATLAS Collaboration, G. Aad et al., \(Z \rightarrow \tau \tau \) cross section measurement in proton–proton collisions at 7 TeV with the ATLAS experiment, ATL-CONF-2012-006, Feb 2012Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Faculty of Mathematics and PhysicsCharles University in PraguePragueCzech Republic

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