Data Challenge¶

Talk in the air of a data challenge to take place in Winter 2013/14 (November) in preparation for running in 2014. Aim would be

• Run the system from datamover through to batch reconstruction using Monte Carlo data
• Perform a mock analysis.

Trying to capture what are the jobs needed to get such a thing going:

• Monte Carlo
  • G4Beamline generator (Leonova)
  • Geometry
    • Implement Step IV geometry (Bayes)
    • Validate Step IV geometry (Ricciardi)

• Detectors
  • TOF
    • Improved Monte Carlo (Rajaram)
  • Tracker
    • Close out reconstruction (Dobbs et al)
    • Calibrations/Configurations/Mapping to CDB (Santos)
    • Geometry to CDB (Heidt)
    • Monte Carlo noise (Heidt)
  • Cerenkov
    • Improved reconstruction routines (Kafka)
    • Fix Monte Carlo geometry/physics (Kafka)
  • Global
    • Global trigger MC (Bayes)
    • Kalman filter (Lane/Taylor?)
    • PID routines (Lane/Taylor?)

• Tests
  • Load tests
  • Reconstruction integration tests

• Data challenge infrastructure
  • Fake MC geometry
  • Data "generator"