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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. Trzebiński

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

Published online: 2019-01

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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.

  • AMS Subject Headings

65C05, 65Z05, 65Y20, 81U35

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COPYRIGHT: © Global Science Press

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@Article{CiCP-25-1547, author = {A. Kycia , R.Turnau , J.J. Chwastowski , J.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 = {

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} }
TY - JOUR T1 - The Adaptive Monte Carlo Toolbox for Phase Space Integration and Generation AU - A. Kycia , R. AU - Turnau , J. AU - J. Chwastowski , J. AU - Staszewski , R. AU - Trzebiński , M. JO - Communications in Computational Physics VL - 5 SP - 1547 EP - 1563 PY - 2019 DA - 2019/01 SN - 25 DO - http://doi.org/10.4208/cicp.OA-2018-0028 UR - https://global-sci.org/intro/article_detail/cicp/12961.html KW - GenExLight, diffractive QCD, phase space integration. AB -

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.

R. A. Kycia, J. Turnau, J. J. Chwastowski, R. Staszewski & M. Trzebiński. (2020). The Adaptive Monte Carlo Toolbox for Phase Space Integration and Generation. Communications in Computational Physics. 25 (5). 1547-1563. doi:10.4208/cicp.OA-2018-0028
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