Monte Carlo generation of localised particle trajectories

Fuente: arXiv
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Auteurs principaux: Ahumada, Ivan, Edwards, James P.
Format: Preprint
Publié: 2023
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author Ahumada, Ivan
Edwards, James P.
author_facet Ahumada, Ivan
Edwards, James P.
contents We introduce modifications to Monte Carlo simulations of the Feynman path integral that improve sampling of localised interactions. The new algorithms generate trajectories in simple background potentials designed to concentrate them about the interaction region, reminiscent of importance sampling. This improves statistical sampling of the system and overcomes a long-time "undersampling problem" caused by the spatial diffusion inherent in Brownian motion. We prove the validity of our approach using previous analytic work on the distribution of values of the Wilson line over path integral trajectories and illustrate the improvements on some simple quantum mechanical systems
format Preprint
id arxiv_https___arxiv_org_abs_2304_10518
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Monte Carlo generation of localised particle trajectories
Ahumada, Ivan
Edwards, James P.
Quantum Physics
High Energy Physics - Theory
We introduce modifications to Monte Carlo simulations of the Feynman path integral that improve sampling of localised interactions. The new algorithms generate trajectories in simple background potentials designed to concentrate them about the interaction region, reminiscent of importance sampling. This improves statistical sampling of the system and overcomes a long-time "undersampling problem" caused by the spatial diffusion inherent in Brownian motion. We prove the validity of our approach using previous analytic work on the distribution of values of the Wilson line over path integral trajectories and illustrate the improvements on some simple quantum mechanical systems
title Monte Carlo generation of localised particle trajectories
topic Quantum Physics
High Energy Physics - Theory
url https://arxiv.org/abs/2304.10518