pyMonteCarlo

pyMonteCarlo is a programming interface to run identical simulations using different Monte Carlo programs. The interface was designed to have common input and output that are independent of any Monte Carlo code. This allows users to combine the advantages of different codes and to compare the effect of different physical models without manually creating and running new simulations for each Monte Carlo program. The analysis of the results is also simplified by the common output format where results are expressed in the same units.

pyMonteCarlo is currently under development.

Documentation

The documentation contains the installation instructions, tutorials, supported Monte Carlo programs and API.

License

pyMonteCarlo is licensed under Apache Software License 2.0.

Citation

Pinard, P., Demers, H., Gauvin, R., & Richter, S. (2013). pyMonteCarlo: A Common Programming Interface for Running Identical Simulations using Different Monte Carlo Programs. Microscopy and Microanalysis, 19(S2), 822-823. doi:10.1017/S1431927613006107

@article{pinard2013,
    author={Pinard, P.T. and Demers, H. and Gauvin, R. and Richter, S.},
    title={pyMonteCarlo: A Common Programming Interface for Running Identical Simulations using Different Monte Carlo Programs},
    journal={Microscopy and Microanalysis},
    volume={19},
    number={S2},
    publisher={Cambridge University Press},
    year={2013},
    pages={822–823},
    DOI={10.1017/S1431927613006107}
}

Build status

Package	CI build	Code coverage
pymontecarlo
pymontecarlo-gui
pymontecarlo-casino2
pymontecarlo-penepma
pypenelopetools

Contributors

• Philippe T. Pinard (London, United Kingdom)
• Hendrix Demers (Montreal, Canada)
• Raynald Gauvin (McGill University, Montreal, Canada)
• Silvia Richter (RWTH Aachen University, Aachen, Germany)

Release notes

1.1.0

• Fix issues with newer releases of dependencies

Copyrights

Copyright (c) 2011 - 2016/06, Silvia Richter and Philippe Pinard

Copyright (c) 2016/06 - , Philippe Pinard