Muon Identification in CMS

• Main Authors: James, Eric, Maravin, Yurii, Mulders, Martijn, Neumeister, Norbert
• Language: English
• Published: 2006
• Subjects: Detectors and Experimental Techniques; Orca
• Online Access: http://cds.cern.ch/record/927392

We present and discuss the design, implementation, and performance of a muon identification software package in ORCA. The identification algorithm accepts reconstructed tracks from the inner tracker and attempts to quantify the muon compatibility for each track using associated calorimeter and muon detector hit information. The software was designed for use in offline analysis and tries to identify muons with high efficiency while maintaining a low probability of misidentification. The muon identification algorithm is complimentary by design to the standard global muon reconstruction algorithm that is seeded from stand-alone track reconstruction in the muon detectors. The performance of the algorithm based on its application to several simulated event samples is also presented.