Muon identification with the event filter of the ATLAS experiment at CERN LHC´s

The Large Hadron Collider at CERN offers unprecedented challenges to the design and construction of detectors and trigger/data acquisition systems. For ATLAS, a three level trigger system has been developed to extract interesting physics signatures with a 10⁶ rate reduction. To accomplish this, components of physics analysis traditionally deferred to offline physics analysis must be embedded within the online trigger system. For the muon trigger, the specific off-line algorithms MOORE (muon object oriented reconstruction) and MuId (muon identification) have been adopted so far for the on-line use, imposing an operation in a Bayesian-like environment where only specific hypotheses must be validated. After a short review of the ATLAS trigger, the paper shows the general strategy of the muon identification and selection accessing the full event data, or being seeded from results derived at a previous stage of the trigger chain