A data-driven performance evaluation method for CMS RPC trigger through CMS muon trigger

摘要

The muon system of the CMS (Compact Muon Solenoid) experiment at the LHC (Large Hadron Collider, Geneva-CH) consists of three gaseous detectors with complementary features: the Drift Tube Chambers (DT) in the barrel and the Cathode Strips Chambers (CSC) in the forward region provide good spatial resolution while the Resistive Plate Chambers (RPC), in both barrel and forward region, have an excellent time resolution. The measurements of these detectors are employed for triggering on muons in the hardware-based Level-! trigger stage. In such scenario an algorithm has been developed, the Global Muon Trigger (GMT), which is in charge of collecting and merging the information provided by the three detectors and outputs muon trigger candidates (GMT candidates). The GMT candidates are henceforth transmitted to the LI Global Trigger Logic which performs the final decision of accepting or rejecting the muon candidates. The GMT algorithm allows to trace back the detectors whose measurements have been used for each GMT candidate: such feature has been exploited in developing a method for the performance evaluation of muon trigger provided by the RPC system.