D. Britzger
NNLO interpolation grids for jet production at the LHC
Britzger, D.; Gehrmann-De Ridder, A.; Gehrmann, T.; Glover, E.W.N.; Gwenlan, C.; Huss, A.; Pires, J.; Rabbertz, K.; Savoiu, D.; Sutton, M.R.; Stark, J.
Authors
A. Gehrmann-De Ridder
T. Gehrmann
Professor Nigel Glover e.w.n.glover@durham.ac.uk
Professor
C. Gwenlan
A. Huss
J. Pires
K. Rabbertz
D. Savoiu
M.R. Sutton
J. Stark
Abstract
Fast interpolation-grid frameworks facilitate an efficient and flexible evaluation of higher-order predictions for any choice of parton distribution functions or value of the strong coupling αs. They constitute an essential tool for the extraction of parton distribution functions and Standard Model parameters, as well as studies of the dependence of cross sections on the renormalisation and factorisation scales. The APPLFAST project provides a generic interface between the parton-level Monte Carlo generator NNLOJET and both the APPLGRID and the FASTNLO libraries for the grid interpolation. The extension of the project to include hadron–hadron collider processes at next-to-next-to-leading order in perturbative QCD is presented, together with an application for jet production at the LHC.
Citation
Britzger, D., Gehrmann-De Ridder, A., Gehrmann, T., Glover, E., Gwenlan, C., Huss, A., Pires, J., Rabbertz, K., Savoiu, D., Sutton, M., & Stark, J. (2022). NNLO interpolation grids for jet production at the LHC. The European Physical Journal C, 82(10), Article 930. https://doi.org/10.1140/epjc/s10052-022-10880-2
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 6, 2022 |
Online Publication Date | Oct 19, 2022 |
Publication Date | 2022 |
Deposit Date | Mar 30, 2023 |
Publicly Available Date | Mar 30, 2023 |
Journal | The European Physical Journal C |
Print ISSN | 1434-6044 |
Publisher | SpringerOpen |
Peer Reviewed | Peer Reviewed |
Volume | 82 |
Issue | 10 |
Article Number | 930 |
DOI | https://doi.org/10.1140/epjc/s10052-022-10880-2 |
Public URL | https://durham-repository.worktribe.com/output/1176839 |
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Advance online version This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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