2016

Version 1.0

• Geometry Biasing with Importance:
• Understand the differences between generic biasing applied to geometrical biasing and the “standard” importance biasing
• Improve testing of biasing processes - to identify and understand differences and compare with analogue simulations
• Clean up and revise test33 to correctly test biasing in MT mode
• Investigate the “switchability” between generic and geometrical biasing
• Consider deprecating importance biasing
• Debug the geometrical biasing for the case of deleted and reinstantiated geometries.
• Command line and “smart” biasing scheme
• Reverse Monte Carlo:
• Improvments of EM ReverseMC for case of thick shielding
• Continue/Finish Migration of ReverseMC to MT
• Generic process:
• Consider interest of new method G4VProcess::StartEvent()
• Generic Biasing:
• Continue enriching event biasing options:
  • Refactor existing generic biasing brem. splitting example to source
  • Leading particle (alternative to existing one in HAD)
• Statistical test suite to verify correctness of biasing wrt to analog
• Improvements:
  • Allow/demonstrate use of parallel worlds
• Feasibility studies and prototyping

  • Biasing of charged particles, with cross-section changing over the step

  • Use of occurence biasing to allow continuous density change inside a same volume

  • DXTRAN-like biasing

  • Material/isotope biasing

  • Woodcock tracking

  • Implicit capture

• Materials:
• Evaluate usage of G4float for material data instead of G4double
• Improved G4Exception usage in material classes, remove asserts
• Introduce some c++11 into material classes
• Evaluate interest of a material extension through an abstract class mechanism to at least gather information about processes using such extended properties (eg : DNA, channeling, thermal neutron)

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*Updated: 29th February 2016
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