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The impact of the LHC Z-boson transverse momentum data on PDF determinations

Published version
Peer-reviewed

Type

Article

Change log

Authors

Boughezal, R 
Guffanti, A 
Petriello, F 

Abstract

The LHC has recently released precise measurements of the transverse momentum distribution of the Z-boson that provide a unique constraint on the structure of the proton. Theoretical developments now allow the prediction of these observables through next-to-next-to-leading order (NNLO) in perturbative QCD. In this work we study the impact of incorporating these latest advances into a determination of parton distribution functions (PDFs) through NNLO including the recent ATLAS and CMS 7 TeV and 8 TeV pTZ data. We investigate the consistency of these measurements in a global fit to the available data and quantify the impact of including the pTZ distributions on the PDFs. The inclusion of these new data sets significantly reduces the uncertainties on select parton distributions and the corresponding parton-parton luminosities. In particular, we find that the pTZ data ultimately leads to a reduction of the PDF uncertainty on the gluon-fusion and vector-boson fusion Higgs production cross sections by about 30%, while keeping the central values nearly unchanged.

Description

Keywords

QCD Phenomenology

Journal Title

Journal of High Energy Physics

Conference Name

Journal ISSN

1126-6708
1029-8479

Volume Title

2017

Publisher

Springer Nature
Sponsorship
Science and Technology Facilities Council (ST/J000434/1)
Royal Society (DH150088)
Science and Technology Facilities Council (ST/L000385/1)
This research was supported in part by the National Science Foundation under Grant No. NSF PHY11-25915 to the Kavli Institute of Theoretical Physics in Santa Barbara. R. B. is supported by the DOE contract DE-AC02-06CH11357. F. P. is supported by the DOE grants DE-FG02- 91ER40684 and DE-AC02-06CH11357. M. U. is supported by a Royal Society Dorothy Hodgkin Research Fellowship and partially supported by the STFC grant ST/L000385/1. A. G. is supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No 659128 - NEXTGENPDF. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.