4.3 Article

Parton distributions with LHC data

Journal

NUCLEAR PHYSICS B
Volume 867, Issue 2, Pages 244-289

Publisher

ELSEVIER
DOI: 10.1016/j.nuclphysb.2012.10.003

Keywords

LHC; Collider physics; Parton distributions; QCD

Funding

  1. Marie Curie Intra-European Fellowship of the European Community's 7th Framework Programme [PIEF-GA-2010-272515]
  2. ERC [291377]
  3. STFC [ST/G000522/1, ST/J000434/1, ST/J000329/1, ST/G000581/1] Funding Source: UKRI
  4. Science and Technology Facilities Council [ST/G000522/1, ST/J000329/1] Funding Source: researchfish

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We present the first determination of parton distributions of the nucleon at NLO and NNLO based on a global data set which includes LHC data: NNPDF2.3. Our data set includes, besides the deep inelastic, Drell-Yan, gauge boson production and jet data already used in previous global PDF determinations, all the relevant LHC data for which experimental systematic uncertainties are currently available: ATLAS and LHCb W and Z rapidity distributions from the 2010 run, CMS W electron asymmetry data from the 2011 run, and ATLAS inclusive jet cross-sections from the 2010 run. We introduce an improved implementation of the FastKernel method which allows us to fit to this extended data set, and also to adopt a more effective minimization methodology. We present the NNPDF2.3 PDF sets, and compare them to the NNPDF2.1 sets to assess the impact of the LHC data. We find that all the LHC data are broadly consistent with each other and with all the older data sets included in the fit. We present predictions for various standard candle cross-sections. and compare them to those obtained previously using NNPDF2.1. and specifically discuss the impact of ATLAS electroweak data on the determination of the strangeness fraction of the proton. We also present collider PDF sets, constructed using only data from HERA. the Tevatron and the LHC. but find that this data set is neither precise nor complete enough for a competitive PDF determination. (C) 2012 Elsevier B.V. All rights reserved.

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