Prompt: Probability-Conserved Cross Section Biasing Monte Carlo Particle Transport System.
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Prompt: Probability-Conserved Cross Section Biasing Monte Carlo Particle Transport System.
Introduction of system can be found at arXiv.
To build Prompt, several prerequisites are needed.
sudo apt install g++ cmake python3-dev python3-pip python3-venv
Clone the source and compile it as
git clone https://gitlab.com/cinema-developers/prompt.git cd prompt . env.sh cimbuild
pip install neutron-cinema
After installation, GDML formatted simulation input files can be launched by Prompt as
prompt [-g file] [-s seed] [-n number] [-v]
| Option | Defult | Description |
|---|---|---|
| -g | Set GDML input file. | |
| -s | 4096 | Set the seed for the random generator |
| -n | 100 | Set the number of primary neutron events |
| -v | The flag to activate the visualisation |
Example of visualising the geometry defined in the total_scattering.gdml:
prompt -g total_scattering.gdml -v
The simulation will produce histogroms in the MCPL format only in the production run, if any scorers are specified. To run the simulation with 1e6 neutrons
prompt -g total_scattering.gdml -n 1e6
After the execution, seven histogrom files and accosiated python analysis template scripts will be generated. The reults can be plotted as
python ScorerDeltaMomentum_PofQ_HW_view.py
There are many input examples are available in the gdml sub-directory.