Speaker
Rodrigues Figueiredo Eduardo
(University Glasgow)
Description
The reconstruction of charged particles in the LHCb tracking
systems consists of two parts. The pattern recognition links
the signals belonging to the same particle. The track fitter
running after the pattern recognition extracts the best
parameter estimate out of the reconstructed tracks. A dedicated
Kalman-Fitter is used for this purpose. The track model
employed in the fit is based on a trajectory concept originally
introduced by the BaBar collaboration, which has been further
developed and improved. To scope with various applications on
trigger level and in the offline reconstruction software the
fitter has been designed to be very flexible to be adapted to
the individual requirements in CPU time and resolution. E.g. a
simplified geometry model has been introduced which speeds up
the computation time of the fitter significantly, obtaining
almost identical resolution than the full geometry description.
We will report on the LHCb fitting concept and present its
current performance in various applications based on the latest
simulation.
Primary author
Rodrigues Figueiredo Eduardo
(University Glasgow)
