Journal Article

PUBDB-2021-00010

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A Positive Resampler for Monte Carlo Events with Negative Weights

Andersen, J. R. ; Gutschow, C.Extern* ; Maier, A. M.DESY* ; Prestel, S. (Corresponding author)Extern*

2020
Springer Heidelberg

This record in other databases:        

Please use a persistent id in citations: doi:10.1140/epjc/s10052-020-08548-w  doi:10.3204/PUBDB-2021-00010

Report No.: DCPT/20/30; DESY-20-090; IPPP/20/15; LU-TP-20-21; MCNET-20-14; SAGEX-20-12; arXiv:2005.09375

Abstract: We propose the Positive Resampler to solve the problem associated with event samples from state-of-the-art predictions for scattering processes at hadron colliders typically involving a sizeable number of events contributing with negative weight. The proposed method guarantees positive weights for all physical distributions, and a correct description of all observables. A desirable side product of the method is the possibility to reduce the size of event samples produced by General Purpose Event Generators, thus lowering the resource demands for subsequent computing-intensive event processing steps. We demonstrate the viability and efficiency of our approach by considering its application to a next-to-leading order + parton shower merged prediction for the production of a $W$ boson in association with multiple jets.

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Contributing Institute(s):

1. Theorie (ZEU-THEO)

Research Program(s):

1. 611 - Fundamental Particles and Forces (POF3-611) (POF3-611)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2020

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Database coverage:
; ; ; ; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOAP3 sponsored Journal ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint Andersen, J. R. ; Gutschow, C. ; Maier, A. M.DESY* ; Prestel, S. (Corresponding author)DESY*
A Positive Resampler for Monte Carlo Events with Negative Weights
[10.3204/PUBDB-2020-02358]     Files  Fulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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