Phase space sampling with Markov Chain Monte Carlo methods
High Energy Physics - Phenomenology
2024-12-18 v1 High Energy Physics - Experiment
Abstract
We present a study on using Markov Chain Monte Carlo (MCMC) techniques to explore the high-dimensional and multi-modal phase space of scattering events at high-energy particle colliders. To this end, we combine the BAT.jl package that provides implementations of a variety of MCMC algorithms with the Sherpa event generator framework. We discuss technical aspects of the implementation and the resulting algorithm and present first results for the process of jets production at the LHC.
Cite
@article{arxiv.2412.12963,
title = {Phase space sampling with Markov Chain Monte Carlo methods},
author = {Salvatore La Cagnina and Cornelius Grunwald and Timo Janßen and Kevin Kröninger and Steffen Schumann},
journal= {arXiv preprint arXiv:2412.12963},
year = {2024}
}
Comments
8 pages, 4 figures, Conference proceeding for CHEP 2024