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Geant4 in production: status and developments

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Title: Geant4 in production: status and developments


1
Geant4 in production status and developments
  • John Apostolakis (CERN)
  • Makoto Asai (SLAC)
  • for the Geant4 collaboration

2
1. Geant4s in HEP, production
  • HEP Experiments in large scale production
  • BaBar (2001)
  • CMS (2003)
  • ATLAS (2004)
  • LHCb (2004)
  • Used in many existing experiments
  • KamLAND, Borexino, HARP,
  • Used to study future experiments
  • ILC, NA48/3 (PA326),

3
Geant4s widespread use
  • Imaging, radiotherapy, dosimetry
  • PET and SPECT imaging (GATE),
  • brachytherapy, hadrontherapy,
  • Space satelites and planetary missions
  • XMM, INTEGRAL, Bepe Colombo, LISA,
  • Radiation assessment, dosimetry
  • LHCb, Electronics (TCAD),

4
2. Geant4 improvements
  • Improved stability of EM energy deposition,
    resolution
  • From revision of electron transport (Multiple
    scattering)
  • Enables better accuracy at higher cuts - with
    less CPU
  • Extensions to geometry modeler
  • Ability to revise many particle properties
  • Refinements, improvements in hadronics
  • Physics Lists

5
Summary
  • Improvements in multiple scattering process
  • Addressing issues with electron transport
  • Speedups for initialisation/navigation
  • Option to only re-optimise parts that change with
    run
  • New voxelisation options being studied for
    regular geometries
  • Overlap checks at geometry construction
  • Revised implementation of particles
  • Impacting advanced users, customizing
  • Refinements in hadronic physics

6
FLUKA and the Virtual Monte Carlo
  • Andreas Morsch
  • For the ALICE Offline Group
  • CERN, Geneva, Switzerland

Computing in High Energy and Nuclear
Physics 13-17 February 2006, T.I.F.R., Mumbai,
India
7
Integration of FLUKA into detector simulation
frame-work
  • Advantages
  • Full detector simulation and radiation studies
    using the same detailed geometry
  • Re-use of code for detector response simulation
    as already developed for Geant3
  • Integration has been achieved using the
  • Virtual Monte Interface3 and
  • The Root geometry modeler TGeo4

3http//root.cern.ch/root/vmc/VirtualMC.html 4http
//root.cern.ch
8
Virtual MC Concept
  • Transport MC transparent to the user application
  • Base class TVirtualMC

User Code
VMC
TGeo
Input
GEANT3 VMC
GEANT3
Particles Hits
GEANT4
GEANT4 VMC
FLUKA
FLUKA VMC
Output
9
Virtual Monte Carlo (VMC)
10
Validation
  • Validation of geometry navigation via TGeo
  • Standard benchmark tests provided by FLUKA
    authors
  • Technical validation of the VMC implementation
  • Comparison with G3 results
  • Physics validation
  • Comparison with test-beam data

11
Electron transport in thin layers
  • 1000 electrons at 1 MeV, EM cascades
  • Same final random number after simulations with
    FLUKA native and TFluka
  • The same for all 3 tested examples

12
FLUKA/G3 Comparison
  • Good agreement where it is expected
  • Photons in electromagnetic shower

FLUKA VMC G3 VMC
log10(E/GeV)
13
Comparison with test-beam data ongoing
Silicon Pixel Detector
14
Conclusions
  • FLUKA VMC implementation completed
  • Testing well advanced
  • TGeo/FLUKA validation completed
  • Good agreement with G3 and Testbeam
  • FLUKA VMC will be used in the next ALICE Physics
    data challenge

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