(University of Massachusetts)
The Muon Spectrometer for the ATLAS experiment at the LHC is
designed to identify muons with transverse momentum greater
than 3 GeV/c and measure muon momenta with high precision up
to the highest momenta expected at the LHC. The 50-micron sagitta
resolution translates into a transverse momentum resolution of 10%
for muon transverse momenta of 1 TeV/c.
The design resolution requires an accurate control of the positions
of the muon detectors and of the distortions of the
nominal layout of individual chambers, induced by mechanical stress
and thermal gradients during the experiment operation.
Accurate calibration of the time to distance relation in the Monitored
Drift Tubes is also required to reach design performance.
We describe the software chain that implements corrections for the
alignment and calibration of the chambers, as well as the algorithms
implemented to perform pattern recognition and track fitting in
the ATLAS Muon Spectrometer. In particular, we report on the
performance of the complete software chain in the context of first
single-beam LHC running as well as ATLAS combined cosmics data taking.
In this talk we plan to discuss the software that has been developed
to process the ATLAS Muon Spectrometer raw data and produce
muon tracks. In particular, the recent LHC single-beam operation
and ATLAS combined cosmics data taking has given us the ability
to study the actual performance of the software and carefully
integrate corrections from alignment and calibration into the
|Presentation type (oral | poster)