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arXiv · 2201.07114

PDF bias and flavor dependence in TMD distributions

Marcin Bury·Francesco Hautmann·Sergio Leal-Gomez·Ignazio Scimemi·Alexey Vladimirov·Pia Zurita
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Abstract

Transverse momentum dependent (TMD) distributions match collinear parton density functions (PDF) in the limit of small transverse distances, which is accounted for by global extractions of TMD distributions. We study the influence of the collinear PDF value and uncertainties on the determination of unpolarized TMD distributions and the description of Drell-Yan (DY) and Z-boson production measurements at low transverse momenta. We take into account, for the first time, flavor-dependent non-perturbative TMD profiles. We carry out a Bayesian analysis to incorporate the propagation of PDF uncertainties into TMD extractions. We find that collinear PDF uncertainties and non-perturbative TMD flavor dependence are both essential to obtain reliable TMD determinations, and should be included in future global analyses.

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Marcin Bury, Francesco Hautmann, Sergio Leal-Gomez, Ignazio Scimemi, Alexey Vladimirov, Pia Zurita. 2022-07-27. PDF bias and flavor dependence in TMD distributions. https://doi.org/10.1007/jhep10(2022)118

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