ATLAS RPC offline monitoring and data quality assessment
classification
⚛️ physics.ins-det
keywords
dataassessmentatlasmonitoringofflinequalitytriggeraspects
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In this work several aspects of ATLAS RPC offline monitoring and data quality assessment are illustrated with cosmics data selected by RPC trigger. These correspond to trigger selection, front-end mapping, detection efficiency and occupancy, which are studied in terms of low level quantities such as: RPC off-line hits and standalone tracks. The tools and techniques presented are also extended to the forthcoming LHC p-p beam collisions.
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