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