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The impact of LHC jet data on the MMHT PDF fit at NNLO

Harland-Lang, L.A.; Martin, A.D.; Thorne, R.S.

The impact of LHC jet data on the MMHT PDF fit at NNLO Thumbnail


Authors

L.A. Harland-Lang

A.D. Martin

R.S. Thorne



Abstract

We investigate the impact of the high precision ATLAS and CMS 7 TeV measurements of inclusive jet production on the MMHT global PDF analysis at next-to-next-to-leading order (NNLO). This is made possible by the recent completion of the long-term project to calculate the NNLO corrections to the hard cross section. We find that a good description of the ATLAS data is not possible with the default treatment of experimental systematic errors, and propose a simplified solution that retains the dominant physical information of the data. We then investigate the fit quality and the impact on the gluon PDF central value and uncertainty when the ATLAS and CMS data are included in a MMHT fit. We consider both common choices for the factorization and renormalization scale, namely the inclusive jet transverse momentum, p⊥ , and the leading jet p⊥ , as well as the different jet radii for which the ATLAS and CMS data are made available. We find that the impact of these data on the gluon is relatively insensitive to these inputs, in particular the scale choice, while the inclusion of NNLO corrections tends to improve the data description somewhat and has a qualitatively similar though not identical impact on the gluon in comparison to NLO.

Citation

Harland-Lang, L., Martin, A., & Thorne, R. (2018). The impact of LHC jet data on the MMHT PDF fit at NNLO. The European Physical Journal C, 78(3), Article 248. https://doi.org/10.1140/epjc/s10052-018-5710-7

Journal Article Type Article
Acceptance Date Mar 6, 2018
Online Publication Date Mar 22, 2018
Publication Date Mar 22, 2018
Deposit Date Apr 9, 2018
Publicly Available Date Mar 29, 2024
Journal European Physical Journal C: Particles and Fields
Print ISSN 1434-6044
Electronic ISSN 1434-6052
Publisher SpringerOpen
Peer Reviewed Peer Reviewed
Volume 78
Issue 3
Article Number 248
DOI https://doi.org/10.1140/epjc/s10052-018-5710-7

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP3





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