Future tests of parton distributions

Abstract

We discuss a test of the generalization power of the methodology used in the determination of parton distribution functions (PDFs). The "future test" checks whether the uncertainty on PDFs, in regions in which they are not constrained by current data, are compatible with future data. The test is performed by using the current optimized methodology for PDF determination, but with a limited dataset, as available in the past, and by checking whether results are compatible within uncertainty with the result found using a current more extensive dataset. We use the future test to assess the generalization power of the NNPDF4.0 unpolarized PDF and the NNPDFpol1.1 polarized PDF methodology. Specifically, we investigate whether the former would predict the rise of the unpolarized proton structure function $F_2$ at small $x$ using only pre HERA data, and whether the latter would predict the so-called "proton spin crisis" using only pre-EMC data.

arXiv comment29 pages, 7 figures. Prepared for the 60th anniversary of the Cracow School of Theoretical Physics, to be published in the proceedings

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• Bayesian Approach to Inverse Problems: an Application to NNPDF Closure Testing
• Parton distributions with scale uncertainties: a MonteCarlo sampling approach
• A step towards a consistent treatment of chiral theories at higher loop order: the abelian case
• A data-based parametrization of parton distribution functions