Presentation is loading. Please wait.

Presentation is loading. Please wait.

Outline: - Building the reconstruction software template - Data flow example - What’s next? - Example “results” PHENIX Upgrade Detectors: Reconstruction.

Similar presentations


Presentation on theme: "Outline: - Building the reconstruction software template - Data flow example - What’s next? - Example “results” PHENIX Upgrade Detectors: Reconstruction."— Presentation transcript:

1 Outline: - Building the reconstruction software template - Data flow example - What’s next? - Example “results” PHENIX Upgrade Detectors: Reconstruction Software Status Jeffery T. Mitchell (Brookhaven National Laboratory) PHENIX TPC/HBD Upgrade Meeting – 11/19/03

2 Building the Template A demonstration of the implementation of a “complete” reconstruction software chain (currently GEANT to DST output) now exists. A demonstration of the implementation of a “complete” reconstruction software chain (currently GEANT to DST output) now exists. Fills preliminary hit and track DST objects for the Silicon (SVX), HBD, and TPC upgrades. Fills preliminary hit and track DST objects for the Silicon (SVX), HBD, and TPC upgrades. Objects are defined as separate lists of individual objects (Example: TpcClusterList is a list of TpcCluster objects) Objects are defined as separate lists of individual objects (Example: TpcClusterList is a list of TpcCluster objects) Runs within the Fun4All framework under Redhat 8. Runs within the Fun4All framework under Redhat 8. Observes the current PHENIX inheritence scheme for backward compatibility. Observes the current PHENIX inheritence scheme for backward compatibility. Includes the first working implementation of PISA Input within the Fun4All framework. Includes the first working implementation of PISA Input within the Fun4All framework. Plugs seamlessly into the current central arm reconstruction framework. Plugs seamlessly into the current central arm reconstruction framework.

3 A Template Flowchart PISA output: PISAEvent.root (ancHbd) PISA Event reader (analogy: offline/packages/gea) tpcGhitList, tpcGhit “Perfect” cluster reconstruction tpcClusterList, tpcCluster “Perfect” track reconstruction tpcTrackList, tpcTrack Analysis Methods (for example, fill histograms) run as separate module.

4 Where to find the current reconstruction software templates Code is in the repository at offline/analysis/upgrades/tpc, /hbd, /svx, /upg. Code is in the repository at offline/analysis/upgrades/tpc, /hbd, /svx, /upg. See the README file in offline/analysis/upgrades for instructions on running the template. See the README file in offline/analysis/upgrades for instructions on running the template. Browse the software on the web from links on http://www.phenix.bnl.gov/WWW/software/luxo r/upgrades.html. Browse the software on the web from links on http://www.phenix.bnl.gov/WWW/software/luxo r/upgrades.html. Next: Continue testing and debugging with HIJING events. Begin implementing true pattern recognition modules. Next: Continue testing and debugging with HIJING events. Begin implementing true pattern recognition modules.

5 Reconstruction Algorithm Development Ideas Project central arm PHTracks to the upgrade detectors: Project central arm PHTracks to the upgrade detectors: Needed: 1) Define the Geometry Objects for the upgrade detectors, 2) Extend the PHTrack class to project to the upgrade detectors, 3) Generate a new Look-up table with projections to the upgrade detectors. What already exists almost takes care of the rest. Needed: 1) Define the Geometry Objects for the upgrade detectors, 2) Extend the PHTrack class to project to the upgrade detectors, 3) Generate a new Look-up table with projections to the upgrade detectors. What already exists almost takes care of the rest. Define the track model. Look for any correlations that may help. Define the track model. Look for any correlations that may help. Write the track association. Kalman filter – outside-in or inside-out? Follow-your-nose? Write the track association. Kalman filter – outside-in or inside-out? Follow-your-nose?

6 PHTrack Data members: PHPolyLine polyLine; // the shape of the track long trackIndex; // Pointer to CglTrack short arm; // Arm number PHPolyLine projections; // Calculated projections PHPolyLine projErrors; // Projection errors PHPointerList directions; // List of vectors at projections PHPointerList ifIntersect; // Flags for intersection tests Virtual methods include: PHBoolean projectToVertex(PHLine&, PHPoint&) PHBoolean projectToDch (PHLine&, PHPoint&) PHBoolean projectToPc1 (PHLine&, PHPoint&) PHBoolean projectToPc2 (PHLine&, PHPoint&) PHBoolean projectToPc3 (PHLine&, PHPoint&) PHBoolean projectToCrk (PHLine&, PHPoint&) PHBoolean projectToTec (PHLine&, PHPoint&) PHBoolean projectToTof (PHLine&, PHPoint&) PHBoolean projectToPbSc (PHLine&, PHPoint&) PHBoolean projectToPbGl (PHLine&, PHPoint&) double pathLengthToCrk() = 0; double pathLengthToTof() = 0; double pathLengthToEmc() = 0; PHENIX central arm global track base class

7 …How about an event display?


Download ppt "Outline: - Building the reconstruction software template - Data flow example - What’s next? - Example “results” PHENIX Upgrade Detectors: Reconstruction."

Similar presentations


Ads by Google