@Article{CiCP-25-5,
author = {R., Kycia, A. and Turnau, J. and J., J., Chwastowski and Staszewski, R. and Trzebiński, M.},
title = {The Adaptive Monte Carlo Toolbox for Phase Space Integration and Generation},
journal = {Communications in Computational Physics},
year = {2019},
volume = {25},
number = {5},
pages = {1547--1563},
abstract = {<p style="text-align: justify;">An implementation of the Monte Carlo (MC) phase space generators coupled with adaptive MC integration/simulation program FOAM is presented. The first
program is a modification of the classic phase space generator GENBOD interfaced
with the adaptive sampling integrator/generator FOAM. On top of this tool the algorithm suitable for generation of the phase space for an reaction with two leading
particles is presented (double-peripheral process with central production of particles).
At the same time, it serves as an instructive example of construction of a self-adaptive
phase space generator/integrator with a modular structure for specialized particle
physics calculations.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.OA-2018-0028},
url = {https://global-sci.com/article/79932/the-adaptive-monte-carlo-toolbox-for-phase-space-integration-and-generation}
}