Difference: LHCbPatternRecognition (7 vs. 8)

Revision 82007-08-30 - DavidHutchcroft

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META TOPICPARENT name="LHCbComputing"
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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
 
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