Muon identification and reconstruction in the ATLAS detector at the LHC

Muon identification and high momentum measurement accuracy is crucial to fully exploit the physics potential of the ATLAS experiment at the LHC. The muon detection system of the ATLAS detector is characterized by two high precision tracking systems, namely the Inner Detector and the Muon Spectrometer, and sufficient calorimetry to ensure the safe absorption of hadrons before the spectrometer, yielding high purity muons with momenta above 3 GeV. In order to reconstruct and efficiently identify muon tracks, the MOORE and Muld Object-Oriented software packages have been developed within the ATLAS ATHENA framework The MOORE and Muld algorithms combine to identify track segments in the Muon Spectrometer, to associate them with corresponding segments in the Inner Detector, and to exploit calorimeter information in order to identify muons at their production vertex with optimal parameter resolution. To identify low p _T muons that do not have a reconstructed Muon Spectrometer track, other strategies must be employed. We report on a method we developed to identify low p _T muons and describe the offline performance studies. The time performance of the algorithm renders it suitable for use in the ATLAS High-Level Trigger system. We will discuss the adaptation of this algorithm for the Level Two Trigger.