Resampling algorithms for high energy physics simulations

Author(s)
Jimmy Olsson, Simon Plätzer, Malin Sjödahl
Abstract

We demonstrate that the method of interleaved resampling in the context of parton showers can tremendously improve the statistical convergence of weighted parton shower evolution algorithms. We illustrate this by several examples showing significant statistical improvement.

Organisation(s)
Particle Physics
External organisation(s)
Lund University, KTH - Royal Institute of Technology
Journal
European Physical Journal C
Volume
80
No. of pages
9
ISSN
1434-6044
DOI
https://doi.org/10.1140/epjc/s10052-020-08500-y
Publication date
10-2020
Peer reviewed
Yes
Austrian Fields of Science 2012
103034 Particle physics, 103012 High energy physics
ASJC Scopus subject areas
Engineering (miscellaneous), Physics and Astronomy (miscellaneous)
Portal url
https://ucris.univie.ac.at/portal/en/publications/resampling-algorithms-for-high-energy-physics-simulations(2b98869c-741c-4b31-baa5-8ce339694d9b).html