Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Face of Malin Sjödahl. Photo.

Malin Sjödahl

Docent, researcher

Face of Malin Sjödahl. Photo.

Resampling algorithms for high energy physics simulations

Author

  • Jimmy Olsson
  • Simon Plätzer
  • Malin Sjödahl

Summary, in English

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.

Department/s

  • Theoretical Particle Physics

Publishing year

2020-10-01

Language

English

Publication/Series

European Physical Journal C

Volume

80

Issue

10

Document type

Journal article

Publisher

Springer

Topic

  • Atom and Molecular Physics and Optics

Status

Published

ISBN/ISSN/Other

  • ISSN: 1434-6044