pyPENELOPEtools is an open-source software to facilitate the use of the Monte Carlo code PENELOPE and its main programs such as PENEPMA. It is a programming interface to setup, run and analyze Monte Carlo simulations. Most of the code was adapted from pyPENELOPE, but with the goal to facilitate the integration with pyMonteCarlo.

PENELOPE (Penetration and ENErgy LOss of Positrons and Electrons) is a a general-purpose Monte Carlo code system for the simulation of coupled electron-photon transport in arbitrary materials. PENELOPE covers the energy range from 1 GeV down to, nominally, 50 eV. The physical interaction models implemented in the code are based on the most reliable information available at present, limited only by the required generality of the code. These models combine results from first-principles calculations, semi-empirical models and evaluated data bases. It should be borne in mind that although PENELOPE can run particles down to 50 eV, the interaction cross sections for energies below 1 keV may be affected by sizeable uncertainties; the results for these energies should be considered as semi-quantitative.

PENELOPE incorporates a flexible geometry package called PENGEOM that permits automatic tracking of particles in complex geometries consisting of homogeneous bodies limited by quadratic surfaces. The PENELOPE code system is distributed by the OECD/NEA Data Bank.

PENELOPE is coded as a set of FORTRAN subroutines, which perform the random sampling of interactions and the tracking of particles (either electrons, positrons or photons). In principle, the user should provide a main steering program to follow the particle histories through the material structure and to keep score of quantities of interest.

The documentation contains the installation instructions, tutorials and API.

• Move tests to pytest
• Add result class for PENCYL

• Add enums for KPAR and ICOL
• Add result from generated photon intensity

• First release

• Philippe T. Pinard
• Hendrix Demers

License under Apache Software License 2.0.

Copyright (c) 2017- , Philippe Pinard