Performance of the Muon Identification at LHCb

TL;DR

This paper evaluates the muon identification performance at LHCb using data-driven methods, achieving high efficiency and low misidentification rates through pattern recognition and likelihood techniques.

Contribution

It introduces a data-driven muon identification method combining hit pattern analysis and likelihood refinement to optimize efficiency and purity.

Findings

Muon efficiency achieved is 93%.

Hadron misidentification rate is below 0.6%.

Pattern-based and likelihood methods improve muon ID performance.

Abstract

The performance of the muon identification in LHCb is extracted from data using muons and hadrons produced in J/\psi->\mu\mu, \Lambda->p\pi and D^{\star}->\pi D0(K\pi) decays. The muon identification procedure is based on the pattern of hits in the muon chambers. A momentum dependent binary requirement is used to reduce the probability of hadrons to be misidentified as muons to the level of 1%, keeping the muon efficiency in the range of 95-98%. As further refinement, a likelihood is built for the muon and non-muon hypotheses. Adding a requirement on this likelihood that provides a total muon efficiency at the level of 93%, the hadron misidentification rates are below 0.6%.