Backlinks to LHCbPatternRecognition in LHCb Web

Results from LHCb web retrieved at 04:49 (GMT)

Tracking strategies used in LHCb Introduction Tracks are found by different tracking strategies. A tracking strategy is mainly concerned with how tracks are found...
Last Published Publisher TWikiGuest Date 18 Aug 2008 16:50 {PublishContrib}{Dir} /afs/cern.ch/project/twiki/production/twiki/export/ {PublishContrib}{URL} https...
How to exclude sensors from the pattern recognition and how to use the VELO as a beam telescope. DISCLAIMER: PatVeloFilterClusters does not remove sensors from PR...
TrAnalyse TrAnalyse is the code that monitors the efficiency and ghost rate of tracks found and fitted by other routines. The output is a table of the form:...
TrChecker This is the code that generates histograms that detail the performance of the tracking algorithms. It by default monitors the Best tracks which are the...
TWeeder info for LHCb Total Number of topics: 2912 29 Topics updated during the last 7 days Days Web Topic Date S7 LHCb RichTestBeamMiniDaq...
The Velo Cluster and Track Monitor packages Latest update on 19 July 2006 by Aras Papadelis Introduction Material from the Software training day on 27/6 2006 can...
VeloGeneralTracking is a pattern recognition algorithm to use R and Phi clusters in the same module to make 3D points, which are combined to make tracks. It was written...
VeloGenericTracking A generic tracking algorithm. The R and Phi clusters are linked into tracks if they can be fitted with a 3D straight line. This method is slower...
VeloRTracking The first stage is pattern recognition, the idea is to identify clusters from the same straight trajectory in the R Z plane. The priority is to have...
Velo Software Main Velo software web page can be found here Pattern recognition in VELO can be found in LHCbPatternRecognition Tracking, including...
VeloSpaceTracking In the L1 trigger after 2D vertexes have been found and for all tracks in HLT and offline the phi information will be added to the tracks. The phi...
Number of topics: 12

 
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