4.7 Article

A first determination of parton distributions with theoretical uncertainties

期刊

EUROPEAN PHYSICAL JOURNAL C
卷 79, 期 10, 页码 -

出版社

SPRINGER
DOI: 10.1140/epjc/s10052-019-7364-5

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资金

  1. UK Science and Technology Facility Council [ST/P000630/1]
  2. European Research Council under the European Union's Horizon 2020 research and innovation Programme [740006]
  3. Scottish Funding Council [H14027]
  4. European Research Council Consolidator Grant NNLO for LHC2
  5. European Commission through the Marie Sklodowska-Curie Action ParDHonS_FFs.TMDs [752748]
  6. STFC [ST/R504671/1, ST/L000385/1, ST/R504737/1]
  7. Netherlands Organization for Scientific Research (NWO)
  8. European Research Council Starting Grant REINVENT [714788]
  9. Royal Society [DH150088, RGF/EA/180148]
  10. European Research Council Starting Grant PDF4BSM
  11. Marie Curie Actions (MSCA) [752748] Funding Source: Marie Curie Actions (MSCA)
  12. European Research Council (ERC) [714788] Funding Source: European Research Council (ERC)
  13. Science and Technology Facilities Council [ST/P000681/1, ST/L000385/1] Funding Source: researchfish
  14. STFC [1961105, ST/P000630/1, ST/L000385/1, 1948592, 1961378, ST/P000681/1] Funding Source: UKRI

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The parton distribution functions (PDFs) which characterize the structure of the proton are currently one of the dominant sources of uncertainty in the predictions for most processes measured at the Large Hadron Collider (LHC). Here we present the first extraction of the proton PDFs that accounts for the missing higher order uncertainty (MHOU) in the fixed-order QCD calculations used in PDF determinations. We demonstrate that the MHOU can be included as a contribution to the covariance matrix used for the PDF fit, and then introduce prescriptions for the computation of this covariance matrix using scale variations. We validate our results at next-to-leading order (NLO) by comparison to the known next order (NNLO) corrections. We then construct variants of the NNPDF3.1 NLO PDF set that include the effect of the MHOU, and assess their impact on the central values and uncertainties of the resulting PDFs.

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