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AI-assisted modeling and Bayesian inference of unpolarized quark transverse momentum distributions from Drell-Yan data
This paper presents an extraction of unpolarized quark transverse-momentum-dependent parton distribution functions (TMD PDFs) from Drell-Yan data using an AI-assisted Bayesian inference framework. It performs a global analysis of Drell-Yan data and compares the results with those obtained using the replica method, highlighting differences in uncertainty estimates.