Monte Carlo Particle Lists: MCPL
Computational Physics
2017-06-28 v2 High Energy Physics - Experiment
Nuclear Experiment
Abstract
A binary format with lists of particle state information, for interchanging particles between various Monte Carlo simulation applications, is presented. Portable C code for file manipulation is made available to the scientific community, along with converters and plugins for several popular simulation packages.
Cite
@article{arxiv.1609.02792,
title = {Monte Carlo Particle Lists: MCPL},
author = {Thomas Kittelmann and Esben Klinkby and Erik B Knudsen and Peter Willendrup and Xiao Xiao Cai and Kalliopi Kanaki},
journal= {arXiv preprint arXiv:1609.02792},
year = {2017}
}