Authors: J. A. Ramos-Mendez and B. A. Faddegon
Department of Radiation Oncology, University of California San Francisco
This example is provided by the Geant4-DNA collaboration.
These processes and models are further described at: http://geant4-dna.org
Any report or published results obtained using the Geant4-DNA software shall cite the following Geant4-DNA collaboration publications:
If use this example, please cite
The Splitting example uses variance reduction to improve the computational efficiency of calculations of ionization cluster size distributions. Ionization events are scored in a nanoscaled cylinder. Ionized electrons generated by the first generation of secondary electrons are split, i.e. new clone electrons are generated, labeled and propagated. The label is used to classify those new particles as if they were produced by independent histories to avoid overlapping of tracks at final analysis. The Splitting is performed only if the ionization event occurred in the cylinder.
Geant4-DNA processes are used.
The example package contains:
The geometry is a nanoscaled cylinder centered in the world. The medium is water everywhere. The dimensions can be defined with
/detector/diameter 6 nm /detector/length 10 nm
User can define the split number (default is 1, i.e. no split) with:
/vrt/numberOfSplit 10
In interactive mode, run:
./Splitting Idle> /control/execute vis.mac
In batch mode , run:
./Splitting run.mac
To get visualization, make sure to uncomment the #/control/execute vis.mac line in the macro.
This example shows:
A simple electron capture process is also provided in order to kill electrons below a chosen energy threshold, set in the Physics list.
Look at the PhyscisList.cc file.
The output results consists in two histograms in root format
Every time a value is added to a ROOT histogram, it contributes to the statistics. For this example, to correct estimate the uncertainties is recommended to split the simulation into several jobs and to calculate the statistics from them: batch mode. Otherwise, the statistical uncertainty may be underestimated.
If you have any questions or wish to notify of updates and/or modification please contact:
J. Ramos-Mendez at joser.nosp@m.m84@.nosp@m.gmail.nosp@m..com
Sebastien Incerti (CNRS) for its guidance