Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8786
Title: Modelling and computational improvements to the simulation of single vector-boson plus jet processes for the ATLAS experiment
Authors: Aad, G.
Abbott, B.
Abbott, D.C.
Abud, A. Abed
Abeling, K.
Abhayasinghe D.K.
The ATLAS Collaboration
Sultansoy, Saleh
Keywords: Hadron-Hadron Scattering
Cross-Sections
Publisher: Springer
Abstract: This paper presents updated Monte Carlo configurations used to model the production of single electroweak vector bosons (W, Z/gamma*) in association with jets in proton-proton collisions for the ATLAS experiment at the Large Hadron Collider. Improvements pertaining to the electroweak input scheme, parton-shower splitting kernels and scale-setting scheme are shown for multi-jet merged configurations accurate to next-to-leading order in the strong and electroweak couplings. The computational resources required for these set-ups are assessed, and approximations are introduced resulting in a factor three reduction of the per-event CPU time without affecting the physics modelling performance. Continuous statistical enhancement techniques are introduced by ATLAS in order to populate low cross-section regions of phase space and are shown to match or exceed the generated effective luminosity. This, together with the lower per-event CPU time, results in a 50% reduction in the required computing resources compared to a legacy set-up previously used by the ATLAS collaboration. The set-ups described in this paper will be used for future ATLAS analyses and lay the foundation for the next generation of Monte Carlo predictions for single vector-boson plus jets production.
URI: https://doi.org/10.1007/JHEP08(2022)089
https://hdl.handle.net/20.500.11851/8786
ISSN: 1029-8479
Appears in Collections:Malzeme Bilimi ve Nanoteknoloji Mühendisliği Bölümü / Department of Material Science & Nanotechnology Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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