PDF bias and flavor dependence in TMD distributions

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...

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Autores principales: Bury, Marcin, Hautmann, Francesco, Leal-Gomez, Sergio, Scimemi, Ignazio, Vladimirov, Alexey, Zurita, Pia
Lenguaje:eng
Publicado: 2022
Materias:
Accelerators and Storage Rings
Acceso en línea:https://dx.doi.org/10.1007/JHEP10(2022)118
http://cds.cern.ch/record/2841156
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author Bury, Marcin
Hautmann, Francesco
Leal-Gomez, Sergio
Scimemi, Ignazio
Vladimirov, Alexey
Zurita, Pia
author_facet Bury, Marcin
Hautmann, Francesco
Leal-Gomez, Sergio
Scimemi, Ignazio
Vladimirov, Alexey
Zurita, Pia
author_sort Bury, Marcin
collection CERN
description 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, flavordependent 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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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
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spelling cern-28411562023-01-31T11:06:12Zdoi:10.1007/JHEP10(2022)118http://cds.cern.ch/record/2841156engBury, MarcinHautmann, FrancescoLeal-Gomez, SergioScimemi, IgnazioVladimirov, AlexeyZurita, PiaPDF bias and flavor dependence in TMD distributionsAccelerators and Storage RingsTransverse 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, flavordependent 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.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.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.arXiv:2201.07114UWThPh 2021-29CERN-TH-2022-126oai:cds.cern.ch:28411562022-01-18
spellingShingle Accelerators and Storage Rings
Bury, Marcin
Hautmann, Francesco
Leal-Gomez, Sergio
Scimemi, Ignazio
Vladimirov, Alexey
Zurita, Pia
PDF bias and flavor dependence in TMD distributions
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 Accelerators and Storage Rings
url https://dx.doi.org/10.1007/JHEP10(2022)118
http://cds.cern.ch/record/2841156
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AT hautmannfrancesco pdfbiasandflavordependenceintmddistributions
AT lealgomezsergio pdfbiasandflavordependenceintmddistributions
AT scimemiignazio pdfbiasandflavordependenceintmddistributions
AT vladimirovalexey pdfbiasandflavordependenceintmddistributions
AT zuritapia pdfbiasandflavordependenceintmddistributions

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