Resampling algorithms for high energy physics simulations
(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:
https://lup.lub.lu.se/record/6019cb29-e67f-4cec-85d2-cb7acdeab729
- author
- Olsson, Jimmy ; Plätzer, Simon LU and Sjödahl, Malin LU
- organization
- publishing date
- 2020-10-01
- 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}}, }