Volume 25, Issue 5
The Adaptive Monte Carlo Toolbox for Phase Space Integration and Generation

R. A. Kycia, J. Turnau, J. J. Chwastowski, R. Staszewski & M. Trzebinski

Commun. Comput. Phys., 25 (2019), pp. 1547-1563.

Published online: 2019-01

[An open-access article; the PDF is free to any online user.]

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  • Abstract

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.

  • Keywords

GenExLight diffractive QCD phase space integration.

  • AMS Subject Headings

65C05 65Z05 65Y20 81U35

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{CiCP-25-1547, author = {}, 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 = {

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.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2018-0028}, url = {http://global-sci.org/intro/article_detail/cicp/12961.html} }
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