Preprint

PUBDB-2023-01293

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Efficient negative-weight elimination in large high-multiplicity Monte Carlo event samples

Andersen, J. R. ; Maier, A. M. (Corresponding author)DESY* ; Maître, D.

2023

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Please use a persistent id in citations: doi:10.3204/PUBDB-2023-01293

Report No.: DCPT/23/30; DESY-23-037; IPPP/23/15; arXiv:2303.15246

Abstract: We demonstrate that cell resampling can eliminate the bulk of negative event weights in large event samples of high multiplicity processes without discernible loss of accuracy in the predicted observables. The application of cell resampling to much larger data sets and higher multiplicity processes such as vector boson production with up to five jets has been made possible by improvements in the method paired with drastic enhancement of the computational efficiency of the implementation.

Keyword(s): multiplicity, high ; vector boson, production ; efficiency ; Monte Carlo ; enhancement

Note: 15 pages, 4 figures

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Contributing Institute(s):

1. Zeuthen Particle PhysicsTheory (Z_ZPPT)

Research Program(s):

1. 611 - Fundamental Particles and Forces (POF4-611) (POF4-611)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2023

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Database coverage:
; Published

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article Andersen, J. R. ; Maier, A. M. (Corresponding author)DESY* ; Maître, D.
Efficient negative-weight elimination in large high-multiplicity Monte Carlo event samples
The European physical journal / C 83(9), 835 (2023) [10.1140/epjc/s10052-023-11905-0]2023     Files  Fulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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