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Future tests of parton distributions
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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.
Forward citations
Cited by 3 Pith papers
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Impact of Z-boson transverse-momentum resummation on PDF determination
N3LL' resummation is required to reconcile the 13 TeV ATLAS Z-pT spectrum with global PDF fits, but lowering the pT cut below 30 GeV is not yet supported.
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Quantitative Understanding of PDF Fits and their Uncertainties
After an initial transient, a PDF-fitting neural network's output obeys f_t = U(t) f_0 + V(t) Y, a linear blend of the initial network and the data with explicit time-dependent operators.
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Parton distributions confront LHC Run II data: a quantitative appraisal
A systematic NNLO data-theory comparison shows that the main PDF sets generalise to unseen LHC and HERA data about equally well once PDF, alpha_s, and missing higher order uncertainties are included.
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