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v3.3-pre
I introduce our novel Bayesian parton density determination code, PartonDensity.jl. This framework provides both a flexible environment for the determination of parton densities and a wealth of information concerning the knowledge update provided by the analyzed data set. Our approach using forward folding enables us to study low count data at high-x that have previously been excluded from parton density studies. I’ll discuss how we apply our method to such data from the ZEUS Collaboration to infer parton density distributions of the proton deep in the perturbative regime of QCD. The data primarily constrain the up-quark valence distribution and I'll present new results on its x-dependence as well as on the momentum carried by the up-quark.