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