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MUSiC - An Automated Scan for Deviations between Data and Monte Carlo Simulation
A model independent analysis approach is presented, systematically scanning the data for deviations from the standard model Monte Carlo expectation. Such an analysis can contribute to the understanding of the CMS detector and the tuning of event generators. The approach is sensitive to a variety...
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| Lenguaje: | eng |
| Publicado: |
2009
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| Acceso en línea: | http://cds.cern.ch/record/1358752 |
| Sumario: | A model independent analysis approach is presented, systematically scanning the
data for deviations from the standard model Monte Carlo expectation. Such an
analysis can contribute to the understanding of the CMS detector and the tuning
of event generators. The approach is sensitive to a variety of models of new physics,
including those not yet thought of. |
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