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MUSIC -- An Automated Scan for Deviations between Data and Monte Carlo Simulation
We present a model independent analysis approach, systematically scanning the data for deviations from the Monte Carlo expectation. Such an analysis can contribute to the understanding of the detector and the tuning of the event generators. Due to the minimal theoretical bias this approach is sensit...
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2008
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| Acceso en línea: | http://cds.cern.ch/record/1152572 |