The performance of the CMS muon detector in proton-proton collisions at sqrt(s) = 7 TeV at the LHC

TL;DR

This paper evaluates the CMS muon detector's performance during 7 TeV proton-proton collisions at the LHC, demonstrating high efficiency, precise spatial and time resolutions, and good agreement with simulations, confirming its robustness and effectiveness.

Contribution

It provides a comprehensive performance assessment of all CMS muon detector subsystems using real collision data, validating design specifications and simulation models.

Findings

Spatial resolution: 80-120 μm (DT), 40-150 μm (CSC), 0.8-1.2 cm (RPC)

Reconstruction efficiency: 95-98% for hits and segments

Trigger efficiency: over 96%, correct bunch crossing in 99.5% of events

Abstract

The performance of all subsystems of the CMS muon detector has been studied by using a sample of proton--proton collision data at sqrt(s) = 7 TeV collected at the LHC in 2010 that corresponds to an integrated luminosity of approximately 40 inverse picobarns. The measured distributions of the major operational parameters of the drift tube (DT), cathode strip chamber (CSC), and resistive plate chamber (RPC) systems met the design specifications. The spatial resolution per chamber was 80-120 micrometers in the DTs, 40-150 micrometers in the CSCs, and 0.8-1.2 centimeters in the RPCs. The time resolution achievable was 3 ns or better per chamber for all 3 systems. The efficiency for reconstructing hits and track segments originating from muons traversing the muon chambers was in the range 95-98%. The CSC and DT systems provided muon track segments for the CMS trigger with over 96% efficiency, and identified the correct triggering bunch crossing in over 99.5% of such events. The measured performance is well reproduced by Monte Carlo simulation of the muon system down to the level of individual channel response. The results confirm the high efficiency of the muon system, the robustness of the design against hardware failures, and its effectiveness in the discrimination of backgrounds.