Pattern Recognition
The pattern recognition code is designed to associate hits in one or more detector to a single
track.
Pattern recognition in 2D (r-z plane) in the VELO detector for L1 trigger, HLT trigger and offline
Pattern recognition in 3D, starting from 2D tracks, in the VELO detector for L1 trigger, HLT trigger and offline
Pattern recognition on remaining clusters by creation of 3D points and tracking without assumptions about track directions
Pattern recognition on the VELO when the detector is open
Pattern recognition producing very clean track sample, most useful for making tracks for alignment and test beam reconstruction
The pattern recognition provides an estimate of the trajectory of the
track and the covariance matrix, but does not attempt to do an accurate
fit. A later fit is done using the
Kalman filter after all hits have
been associated to the track, which does attempt to get the best
possible track parameters.
Monitoring of Pattern Recognition
In the default Brunel options, the
PatChecker algorithm is run from the
PatChecker package.
Talks on pattern recognition
*
Retune of VELO pattern recognition 4th April 2005
LHCb notes on pattern recognition
- Refer to the list on the main tracking page.
--
DavidHutchcroft - 09 Aug 2005