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Correlation and combination of sets of parton distributions

  • Richard D. Ball
  • , Stefano Forte*
  • , Roy Stegeman
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We study the correlation between different sets of parton distributions (PDFs). Specifically, viewing different PDF sets as distinct determinations, generally correlated, of the same underlying physical quantity, we examine the
extent to which the correlation between them is due to the underlying data. We do this both for pairs of PDF sets determined using a given fixed methodology, and between sets determined using different methodologies. We show that cor-
relations have a sizable component that is not due to the underlying data, because the data do not determine the PDFs uniquely. We show that the data-driven correlations can be used to assess the efficiency of methodologies used for PDF
determination. We also show that the use of data-driven correlations for the combination of different PDFs into a joint set can lead to inconsistent results, and thus that the statistical combination used in constructing the widely used
PDF4LHC15 PDF set remains the most reliable method.
Original languageEnglish
Article number1046
Pages (from-to)1-18
Number of pages18
JournalThe European Physical Journal C
Volume81
Issue number11
DOIs
Publication statusPublished - 30 Nov 2021

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