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Reliable Hybrid Neural Surrogates for Multidimensional Grids: Application to Double Parton Distributions
The conventional grid-based approach used for storing and evaluating ordinary parton distribution functions (PDFs), as implemented for example in LHAPDF, becomes much more demanding for double parton distributions (DPDs). While a collinear PDF depends on one longitudinal momentum fraction and one fa
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