Generic Processes & Materials - Workplan 2023

Version 2.0

  • Fast Simulation:
    • Innovation / ML-based models:
      • Changes to fast sim code: extend Par04 example to run fast simulation on GPUs
      • Development of ML fast shower models for data generated with Par04 example
        • Assessement of new model, replacement of existing one if satisfactory
      • MetaHEP testing on LHC experiments
        • Implementation for FCC applied to LHC experiments
      • Build a general validation pipeline based on quantitative metrics for evaluating generated showers
    • Revision / classical models:
      • Implementation and validation of GFlash code with general fast sim tools
      • Continuation of revision of Gflash models
    • Inclusion of detailed vs fast simulation comparison/validation tests into geant-val
  • Reverse Monte-Carlo:
    • Conclude support for MT processing
    • Support for parallel geometries
      • Investigation of discrepancies for thick shield cases
    • Maintenance
    • Assess porting validations to geant-val
  • Generic biasing:
    • Inclusion of analog vs biased simulation comparison/validation tests into geant-val
    • prototyping DXTRAN
    • Charged particle occurrence biaising
    • Biasing for AtRest case
    • Maintaining generic biasing with parallel world
  • Importance biasing:
    • Maintenance of importance biasing and extension to multiple particle type biasing
  • Materials:
    • Maintenance