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Tackling the noisy truncated moment problem with Gaussian Processes: An application to parton distribution functions
In this work, we study the noisy truncated Hausdorff moment problem in the context of recovering parton distribution functions (PDFs) from their moments. We start by reviewing basics of the Hausdorff moment problem and analyze how the relation between the amount of moment data provided and the abili
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