Speaker
Andrea Di Simone
(INFN Roma2)
Description
Resistive Plate Chambers (RPC) are used in ATLAS to provide the first
level muon trigger in the barrel region. The total size of the system is
about 16000 m2, readout by about 350000 electronic channels.
In order to reach the needed trigger performance, a precise knowledge of
the detector working point is necessary, and the high number of readout
channels calls for severe requirements on the analysis tools to be
developed. First of all, high-statistics data samples will have to be
used as input. Second, the results would me unmanageable without a
proper interface to some database technology. Moreover, the CPU power
needed for the anlaysis makes it necessary to use distributed computing
resources.
A set of analysis tools will be presented, coping with all the critical
aspects of this task, ranging from the use of a dedicated data stream
(the so-called muon calibration stream), to the automatic job submission
on the GRID, to the implementation of an interface to ATLAS' conditions
database. Integration with Detector Control System information and
impact of the calibration on the performance of the reconstruction
algorithms will be discussed as well.
Author
Andrea Di Simone
(INFN Roma2)
