Deuteron Uncertainties in the Determination of Proton PDFs

Abstract

We evaluate the uncertainties due to nuclear effects in global fits of proton parton distribution functions (PDFs) that utilise deep-inelastic scattering and Drell-Yan data on deuterium targets. To do this we use an iterative procedure to determine proton and deuteron PDFs simultaneously, each including the uncertainties in the other. We apply this procedure to determine the nuclear uncertainties in the SLAC, BCDMS, NMC and DYE866/NuSea fixed target deuteron data included in the NNPDF3.1 global fit. We show that the effect of the nuclear uncertainty on the proton PDFs is small, and that the increase in overall uncertainties is insignificant once we correct for nuclear effects.

arXiv commentVersion accepted for publication in Eur. Phys. J. C; typo in Table 3 corrected; discussion about previous NNPDF studies added; various minor points clarified

References in corpus (30)

• An accurate nucleon-nucleon potential with charge-independence breaking
• Parton distributions for the LHC Run II
• Parton distributions with LHC data
• The high-precision, charge-dependent Bonn nucleon-nucleon potential (CD-Bonn)
• LHAPDF6: parton density access in the LHC precision era
• Parton distributions from high-precision collider data
• Parton distributions in the LHC era: MMHT 2014 PDFs
• EPPS16: Nuclear parton distributions with LHC data
• nCTEQ15 - Global analysis of nuclear parton distributions with uncertainties in the CTEQ framework
• Improved Measurement of the $\bar{d}/\bar{u}$ Asymmetry in the Nucleon Sea
• A first unbiased global NLO determination of parton distributions and their uncertainties
• Constraints on large-$x$ parton distributions from new weak boson production and deep-inelastic scattering data
• Global Analysis of Nuclear Parton Distributions
• Precise Measurement of Dimuon Production Cross-Sections in muon neutrino Fe and muon antineutrino Fe Deep Inelastic Scattering at the Tevatron
• The Structure of the Proton in the LHC Precision Era
• Neural Network Parametrization of Deep-Inelastic Structure Functions
• Global parton distributions with nuclear and finite-Q^2 corrections
• Parton Distributions in Nucleons and Nuclei
• Extended Parameterisations for MSTW PDFs and their effect on Lepton Charge Asymmetry from W Decays
• nNNPDF2.0: Quark Flavor Separation in Nuclei from LHC Data
• Relativistic Deuteron Structure Function
• Probing the Origin of the EMC Effect via Tagged Structure Functions of the Deuteron
• Precision determination of the strong coupling constant within a global PDF analysis
• Open-source QCD analysis of nuclear parton distribution functions at NLO and NNLO
• Charm-quark production in deep-inelastic neutrino scattering at NNLO in QCD
• Nuclear Effects in the Deuteron and Constraints on the d/u Ratio
• Massive charged-current coefficient functions in deep-inelastic scattering at NNLO and impact on strange-quark distributions
• Parton distribution functions
• Covariant Spectator Theory of np scattering: Deuteron magnetic moment and form factors
• The Proton Spin, Semi-Inclusive processes, and a future Electron Ion Collider

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• Parton distributions from LHC, HERA, Tevatron and fixed target data: MSHT20 PDFs
• The Path to Proton Structure at One-Percent Accuracy
• The PDF4LHC21 combination of global PDF fits for the LHC Run III
• Bayesian Approach to Inverse Problems: an Application to NNPDF Closure Testing
• nCTEQ15HIX -- Extending nPDF Analyses into the High-$x$, Low $Q^2$ Region
• Self-consistent determination of proton and nuclear PDFs at the Electron Ion Collider
• Correlation of Theoretical Uncertainties in PDF Fits and Theoretical Uncertainties in Predictions
• Parton distributions with scale uncertainties: a MonteCarlo sampling approach
• Deuterium scattering experiments in CTEQ global QCD analyses: a comparative investigation
• Nuclear effects in the deuteron and global QCD analyses
• Future tests of parton distributions
• A Stress Test of Global PDF Fits: Closure Testing the MSHT PDFs and a First Direct Comparison to the Neural Net Approach
• Extraction of the neutron F2 structure function from inclusive proton and deuteron deep-inelastic scattering data
• A new generation of simultaneous fits to LHC data using deep learning
• Exploring the substructure of nucleons and nuclei with machine learning