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Resampling algorithms for high energy physics simulations

Olsson, Jimmy ; Plätzer, Simon LU and Sjödahl, Malin LU (2020) In European Physical Journal C 80(10).
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.

Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
European Physical Journal C
volume
80
issue
10
article number
934
publisher
Springer
external identifiers
  • scopus:85092373798
ISSN
1434-6044
DOI
10.1140/epjc/s10052-020-08500-y
language
English
LU publication?
yes
id
6019cb29-e67f-4cec-85d2-cb7acdeab729
date added to LUP
2020-11-02 14:56:10
date last changed
2023-01-01 01:20:36
@article{6019cb29-e67f-4cec-85d2-cb7acdeab729,
  abstract     = {{<p>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.</p>}},
  author       = {{Olsson, Jimmy and Plätzer, Simon and Sjödahl, Malin}},
  issn         = {{1434-6044}},
  language     = {{eng}},
  month        = {{10}},
  number       = {{10}},
  publisher    = {{Springer}},
  series       = {{European Physical Journal C}},
  title        = {{Resampling algorithms for high energy physics simulations}},
  url          = {{http://dx.doi.org/10.1140/epjc/s10052-020-08500-y}},
  doi          = {{10.1140/epjc/s10052-020-08500-y}},
  volume       = {{80}},
  year         = {{2020}},
}