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EPPS16: nuclear parton distributions with LHC data
We introduce a global analysis of collinearly factorized nuclear parton distribution functions (PDFs) including, for the first time, data constraints from LHC proton–lead collisions. In comparison to our previous analysis, EPS09, where data only from charged-lepton–nucleus deep inelastic scattering...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368950/ https://www.ncbi.nlm.nih.gov/pubmed/28408858 http://dx.doi.org/10.1140/epjc/s10052-017-4725-9 |
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author | Eskola, Kari J. Paakkinen, Petja Paukkunen, Hannu Salgado, Carlos A. |
author_facet | Eskola, Kari J. Paakkinen, Petja Paukkunen, Hannu Salgado, Carlos A. |
author_sort | Eskola, Kari J. |
collection | PubMed |
description | We introduce a global analysis of collinearly factorized nuclear parton distribution functions (PDFs) including, for the first time, data constraints from LHC proton–lead collisions. In comparison to our previous analysis, EPS09, where data only from charged-lepton–nucleus deep inelastic scattering (DIS), Drell–Yan (DY) dilepton production in proton–nucleus collisions and inclusive pion production in deuteron–nucleus collisions were the input, we now increase the variety of data constraints to cover also neutrino–nucleus DIS and low-mass DY production in pion–nucleus collisions. The new LHC data significantly extend the kinematic reach of the data constraints. We now allow much more freedom for the flavor dependence of nuclear effects than in other currently available analyses. As a result, especially the uncertainty estimates are more objective flavor by flavor. The neutrino DIS plays a pivotal role in obtaining a mutually consistent behavior for both up and down valence quarks, and the LHC dijet data clearly constrain gluons at large momentum fraction. Mainly for insufficient statistics, the pion–nucleus DY and heavy-gauge-boson production in proton–lead collisions impose less visible constraints. The outcome – a new set of next-to-leading order nuclear PDFs called EPPS16 – is made available for applications in high-energy nuclear collisions. |
format | Online Article Text |
id | pubmed-5368950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-53689502017-04-11 EPPS16: nuclear parton distributions with LHC data Eskola, Kari J. Paakkinen, Petja Paukkunen, Hannu Salgado, Carlos A. Eur Phys J C Part Fields Regular Article - Theoretical Physics We introduce a global analysis of collinearly factorized nuclear parton distribution functions (PDFs) including, for the first time, data constraints from LHC proton–lead collisions. In comparison to our previous analysis, EPS09, where data only from charged-lepton–nucleus deep inelastic scattering (DIS), Drell–Yan (DY) dilepton production in proton–nucleus collisions and inclusive pion production in deuteron–nucleus collisions were the input, we now increase the variety of data constraints to cover also neutrino–nucleus DIS and low-mass DY production in pion–nucleus collisions. The new LHC data significantly extend the kinematic reach of the data constraints. We now allow much more freedom for the flavor dependence of nuclear effects than in other currently available analyses. As a result, especially the uncertainty estimates are more objective flavor by flavor. The neutrino DIS plays a pivotal role in obtaining a mutually consistent behavior for both up and down valence quarks, and the LHC dijet data clearly constrain gluons at large momentum fraction. Mainly for insufficient statistics, the pion–nucleus DY and heavy-gauge-boson production in proton–lead collisions impose less visible constraints. The outcome – a new set of next-to-leading order nuclear PDFs called EPPS16 – is made available for applications in high-energy nuclear collisions. Springer Berlin Heidelberg 2017-03-16 2017 /pmc/articles/PMC5368950/ /pubmed/28408858 http://dx.doi.org/10.1140/epjc/s10052-017-4725-9 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP3 |
spellingShingle | Regular Article - Theoretical Physics Eskola, Kari J. Paakkinen, Petja Paukkunen, Hannu Salgado, Carlos A. EPPS16: nuclear parton distributions with LHC data |
title | EPPS16: nuclear parton distributions with LHC data |
title_full | EPPS16: nuclear parton distributions with LHC data |
title_fullStr | EPPS16: nuclear parton distributions with LHC data |
title_full_unstemmed | EPPS16: nuclear parton distributions with LHC data |
title_short | EPPS16: nuclear parton distributions with LHC data |
title_sort | epps16: nuclear parton distributions with lhc data |
topic | Regular Article - Theoretical Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368950/ https://www.ncbi.nlm.nih.gov/pubmed/28408858 http://dx.doi.org/10.1140/epjc/s10052-017-4725-9 |
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