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Use of Bertini Cascade to Model Stopping Particles. Julia Yarba Fermilab Geant4 HAD Group meeting 10/26/2011. Outline. Geant4.9.4.ref09 + hadr-casc-V09-04-ref09 Models: Traditional (Geisha) CHIPS Bertini, Bertini+Precompound Particle + Target: p- on C, N, O, Al, Cu, Ta, Pb

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use of bertini cascade to model stopping particles

Use of Bertini Cascade to Model Stopping Particles

Julia Yarba

Fermilab

Geant4 HAD Group meeting

10/26/2011

outline
Outline
  • Geant4.9.4.ref09 + hadr-casc-V09-04-ref09
  • Models:
    • Traditional (Geisha)
    • CHIPS
    • Bertini, Bertini+Precompound
  • Particle + Target:
    • p- on C, N, O, Al, Cu, Ta, Pb
    • K- on H
  • Data sets
    • R.Madey et al.,Phys.Rev.C25,3050(1982)
    • K.Larson et al., Phys.Rev.D47,799(1993)

Julia Yarba, FNAL – 10/26/2011

cpu factor bertini vs chips
CPU factor: Bertini vs CHIPS
  • Berini is much faster than CHIPS
    • Factor 9-10 for lighter targets
    • Factor ~4 for heavier targets
  • Bertini+PreCompound for pi- causes on average a factor 2 slowdown vs native Bertini, but it is still a substantial speed gain over CHIPS (factor 2-4 depends of the target)
  • For K- there’s no difference between Bertini or Bertini+PreCo; speed factor of ~30 vs CHIPS

Julia Yarba, FNAL – 10/26/2011

summary
Summary
  • Bertini Cascade as of hadr-casc-V09-04-38 is a good alternative to CHIPS for stopping pi-
  • Bertini+PreCompound (deex.) significantly improves G4 modeling of stopping pi- on lighter targets, although it imposes a factor ~2 slowdown
  • Modeling of stopping K- with Bertini is also possible but some improvements are needed

Julia Yarba, FNAL – 10/26/2011