A parameterization of the Kalman filter track reconstruction in the ALICE TPC
The complete simulation of the ALICE Time Projection Chamber
is very demanding in terms of CPU time and disk space.
Therefore, a fast simulation is necessary for the study of physics signals
requiring a very large number of events.
We have implemented and tested a parameterization of the Kalman filter
tracking in the TPC to describe the tracking efficiency, the resolution on track parameters,
the covariance matrix and the dE/dx. The different particle species are
As an example, we used this tool to perform the tracking in the ITS using the
Kalman filter without including the TPC in the simulation. The reduction in
CPU time and disk space is of a factor 35.