Collaboration, ATLAS
(2021)
Modelling and computational improvements to the simulation of single
vector-boson plus jet processes for the ATLAS experiment.
[Preprint]
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Text
2112.09588v1.pdf - Submitted version Download (2MB) | Preview |
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.
| Item Type: | Preprint |
|---|---|
| Additional Information: | 59 pages in total, author list starting page 44, 15 figures, 3 tables, published in JHEP 08 (2022) 089. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/PMGR-2021-01/ |
| Uncontrolled Keywords: | hep-ex, hep-ex, hep-ph |
| Divisions: | Faculty of Science and Engineering > School of Physical Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 12 Jan 2022 15:17 |
| Last Modified: | 18 Jan 2023 21:17 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3146175 |
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