Tracking QA | Tobias Stockmanns on behalf of the MVD group.

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Presentation transcript:

Tracking QA | Tobias Stockmanns on behalf of the MVD group

How many MC tracks were found by the track finder? What is the Question? How many MC tracks were found by the track finder?

How many MC tracks were found by the track finder? What is the Question? How many MC tracks were found by the track finder? When is a track found? Most / some hits of a track? All hits of a track? Hits from other tracks?

How many MC tracks were found by the track finder? What is the Question? Secondary tracks? DPM? Physics channels? What is the sample? Delayed vertices? How many MC tracks were found by the track finder? When is a track found? Most / some hits of a track? All hits of a track? Hits from other tracks?

How many MC tracks were found by the track finder? What is the Question? How good is the track finder? How many ghost tracks created? How many MC tracks were found by the track finder? How fast is it? How good does the track fit match?

Classification of TrackCands Fully Found : 100 % of MC Hits found AND no other hits Partly Found > 3 MC Hits found AND no other hits Spurious > 70 % of hits are from one MC track Ghosts None of the above

Classification of MC Tracks Group 1 All tracks : MC Track with > 2 hits in tracking detectors Possible tracks Trackfinder specific criteria Group 2 Primary Primary track Secondary Secondary track PID (opt.) Specific particles All combinations of group 1 and 2

Class Scheme PndTrackingQualityTask Data input / output Visualization of results PndTrackingQualityAnalysis Combines MC Track data with TrackCand data Classification of MC Tracks Classification of TrackCand PndTrackingQualityData Analyses PndTrackCand From which MC tracks do the hits come? How many hits from each subdetector belong to a MC track

Summary Output All Tracks: 5635 Primary Tracks wo hits: 1768 All Tracks with hits: 3867 not found: 1693 Primary Tracks with 3 hits: 943 not found: 885 Secondary Tracks with 3 hits: 596 not found: 579 Primary Tracks possible: 1593 not found: 50 Secondary Tracks possible: 735 not found: 179 FullyFound: 705 18.23% 30.28% PartlyFound: 1397 36.12% 60.00% Spurious: 72 1.86% 3.09% Ghosts: 380 9.83% 16.32%

Summary Output All MC tracks All Tracks: 5635

Summary Output All Tracks: 5635 Primary Tracks wo hits: 1768 All Tracks with hits: 3867 not found: 1693 All primary tracks with < 3 hits in tracking detectors All tracks with > 2 hits in tracking detectors

All possible p./s. tracks Summary Output All Tracks: 5635 Primary Tracks wo hits: 1768 All Tracks with hits: 3867 not found: 1693 Primary Tracks with 3 hits: 943 not found: 885 Secondary Tracks with 3 hits: 596 not found: 579 Primary Tracks possible: 1593 not found: 50 Secondary Tracks possible: 735 not found: 179 All p./s. tracks with > 3 hits in tracking detectors and not possible tracks All possible p./s. tracks

All tracks with hits as reference All possible tracks as reference Summary Output All Tracks: 5635 Primary Tracks wo hits: 1768 All Tracks with hits: 3867 not found: 1693 Primary Tracks with 3 hits: 943 not found: 885 Secondary Tracks with 3 hits: 596 not found: 579 Primary Tracks possible: 1593 not found: 50 Secondary Tracks possible: 735 not found: 179 FullyFound: 705 18.23% 30.28% PartlyFound: 1397 36.12% 60.00% Spurious: 72 1.86% 3.09% Ghosts: 380 9.83% 16.32% All tracks with hits as reference All possible tracks as reference

Some Results

Features Runs for PndTracks and PndTrackCands Can analyse all existing sub detectors Easily adoptable for different track finders / fitters class OnlySttFunctor : public PossibleTrackFunctor { Bool_t Call(FairMultiLinkedData* a) FairRootManager* ioman = FairRootManager::Instance(); return a->GetLinksWithType(iomanGetBranchId("STTHit")).GetNLinks() > 5; } void Print(){ std::cout << "OnlySttFunctor: > 5 Hits in Stt" << std::endl; };

Questions to discuss Classification of PndTrackCands: What classes? Which criteria? Classification of MCTracks Which cirteria Common data set DPM Physics channels? Generic sets? Which features are missing?