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Trigger monitoring and rate predictions using Enhanced Bias data from the ATLAS Detector at the LHC
A data-driven method for performing offline rate and CPU usage predictions for any algorithmic selection in the ATLAS High Level Trigger at the Large Hadron Collider is described. To assure statistical sensitivity in the most relevant kinematic regions, a mix of events is selected by the Level 1 tri...
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| Lenguaje: | eng |
| Publicado: |
2016
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| Acceso en línea: | http://cds.cern.ch/record/2223498 |