The adaptive Monte Carlo toolbox for phase space integration and generation

TL;DR

This paper introduces an adaptive Monte Carlo toolbox combining phase space generation with the FOAM integration program, improving particle physics simulations through modular, self-adaptive algorithms for complex reactions.

Contribution

It presents a novel adaptive phase space generator integrated with FOAM, enhancing simulation efficiency for two-particle leading processes in particle physics.

Findings

Successful implementation of the adaptive phase space generator

Improved efficiency in simulating double-peripheral processes

Modular design facilitates specialized particle physics calculations

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.