Generic Processes & Materials - Workplan 2022

  • Fast simulation
    • Innovation:
      • Extending Par04 example
      • Modernisation of EM shower parameterisation
      • ML studies on the current model, meta learning for real detector geometries and FCC geometry, meta learning G4 example
    • Revision and improvements:
      • Continuing revision of Fast simulation framework
      • Continuing revision of GFlash models
      • Investigate relevance of using a specialized tracking class for triggering fast simulation
  • Reverse Monte Carlo
    • Import Reverse MC in MT mode for Geant4.11 series
    • Test of Rerverse MC behavior in parallel geometries
    • Maintenance
  • Generic biasing:
    • Biasing of charged particle interaction occurrence
    • prototyping of  DXTRAN-like functionality
    • Biasing for AtRest case