Journal article
The photon PDF from high-mass Drell–Yan data at the LHC
- Abstract:
- Achieving the highest precision for theoretical predictions at the LHC requires the calculation of hard-scattering cross sections that include perturbative QCD corrections up to (N)NNLO and electroweak (EW) corrections up to NLO. Parton distribution functions (PDFs) need to be provided with matching accuracy, which in the case of QED effects involves introducing the photon parton distribution of the proton, [Formula: see text]. In this work a determination of the photon PDF from fits to recent ATLAS measurements of high-mass Drell-Yan dilepton production at [Formula: see text] TeV is presented. This analysis is based on the xFitter framework, and has required improvements both in the APFEL program, to account for NLO QED effects, and in the aMCfast interface to account for the photon-initiated contributions in the EW calculations within MadGraph5_aMC@NLO. The results are compared with other recent QED fits and determinations of the photon PDF, consistent results are found.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 1.9MB, Terms of use)
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- Publisher copy:
- 10.1140/epjc/s10052-017-4931-5
Authors
Contributors
+ Cooper-Sarkar, A
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Physics
- Sub department:
- Particle Physics
- Role:
- Contributor
- ORCID:
- 0000-0002-8506-274X
+ The Xfitter Developers’ Team
- Role:
- Contributor
- Publisher:
- Springer Berlin Heidelberg
- Journal:
- European Physical Journal C More from this journal
- Volume:
- 77
- Issue:
- 6
- Article number:
- 400
- Publication date:
- 2017-06-15
- Acceptance date:
- 2017-05-17
- DOI:
- EISSN:
-
1434-6052
- ISSN:
-
1434-6044
- Pmid:
-
28775666
- Language:
-
English
- Keywords:
- Pubs id:
-
pubs:703191
- UUID:
-
uuid:baa9f6c4-4077-4835-ae9e-e173493933a9
- Local pid:
-
pubs:703191
- Source identifiers:
-
703191
- Deposit date:
-
2019-03-15
- ARK identifier:
Terms of use
- Copyright holder:
- Giuli et al
- Copyright date:
- 2017
- Notes:
- © The Authors 2017. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original authors and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Licence:
- CC Attribution (CC BY)
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