PDF bias and flavor dependence in TMD distributions

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 determin...

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Main Authors: Marcin Bury, Francesco Hautmann, Sergio Leal-Gomez, Ignazio Scimemi, Alexey Vladimirov, Pia Zurita
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:Journal of High Energy Physics
Subjects:
Online Access:https://doi.org/10.1007/JHEP10(2022)118
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author Marcin Bury
Francesco Hautmann
Sergio Leal-Gomez
Ignazio Scimemi
Alexey Vladimirov
Pia Zurita
author_facet Marcin Bury
Francesco Hautmann
Sergio Leal-Gomez
Ignazio Scimemi
Alexey Vladimirov
Pia Zurita
author_sort Marcin Bury
collection DOAJ
description 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 in fits including TMD evolution, 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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spelling doaj.art-eb6d680e459f46dfb0f8fa33d1b8e37d2022-12-22T03:26:21ZengSpringerOpenJournal of High Energy Physics1029-84792022-10-0120221013410.1007/JHEP10(2022)118PDF bias and flavor dependence in TMD distributionsMarcin Bury0Francesco Hautmann1Sergio Leal-Gomez2Ignazio Scimemi3Alexey Vladimirov4Pia Zurita5Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of SciencesCERN, Theory DepartmentWien Universität, Faculty of PhysicsDpto. de Física Teórica & IPARCOS, Universidad Complutense de MadridDpto. de Física Teórica & IPARCOS, Universidad Complutense de MadridInstitut für Theoretische Physik, Universität RegensburgAbstract 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 in fits including TMD evolution, 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.https://doi.org/10.1007/JHEP10(2022)118Parton DistributionsResummationFactorizationRenormalization Group
spellingShingle Marcin Bury
Francesco Hautmann
Sergio Leal-Gomez
Ignazio Scimemi
Alexey Vladimirov
Pia Zurita
PDF bias and flavor dependence in TMD distributions
Journal of High Energy Physics
Parton Distributions
Resummation
Factorization
Renormalization Group
title PDF bias and flavor dependence in TMD distributions
title_full PDF bias and flavor dependence in TMD distributions
title_fullStr PDF bias and flavor dependence in TMD distributions
title_full_unstemmed PDF bias and flavor dependence in TMD distributions
title_short PDF bias and flavor dependence in TMD distributions
title_sort pdf bias and flavor dependence in tmd distributions
topic Parton Distributions
Resummation
Factorization
Renormalization Group
url https://doi.org/10.1007/JHEP10(2022)118
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