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


This topic: LHCb > WebHome > LHCbComputing > LHCbPatternRecognition
Topic revision: r8 - 2007-08-30 - DavidHutchcroft
 
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