A1 Journal article (refereed)
Can we fit nuclear PDFs with the high-x CLAS data? (2020)

Paukkunen, H., & Zurita, P. (2020). Can we fit nuclear PDFs with the high-x CLAS data?. European Physical Journal C, 80(5), Article 381. https://doi.org/10.1140/epjc/s10052-020-7971-1

JYU authors or editors

Publication details

All authors or editors: Paukkunen, Hannu; Zurita, Pia

Journal or series: European Physical Journal C

ISSN: 1434-6044

eISSN: 1434-6052

Publication year: 2020

Volume: 80

Issue number: 5

Article number: 381

Publisher: Springer

Publication country: Germany

Publication language: English

DOI: https://doi.org/10.1140/epjc/s10052-020-7971-1

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/69052

Web address of parallel published publication (pre-print): https://arxiv.org/abs/2003.02195


Nuclear parton distribution functions (nuclear PDFs) are non-perturbative objects that encode the partonic behaviour of bound nucleons. To avoid potential higher-twist contributions, the data probing the high-x end of nuclear PDFs are sometimes left out from the global extractions despite their potential to constrain the fit parameters. In the present work we focus on the kinematic corner covered by the new high-x data measured by the CLAS/JLab collaboration. By using the Hessian re-weighting technique, we are able to quantitatively test the compatibility of these data with globally analyzed nuclear PDFs and explore the expected impact on the valence-quark distributions at high x. We find that the data are in a good agreement with the EPPS16 and nCTEQ15 nuclear PDFs whereas they disagree with TuJu19. The implications on flavour separation, higher-twist contributions and models of EMC effect are discussed.

Keywords: nuclear physics; particle physics

Free keywords: nuclear parton distribution functions (nuclear PDFs)

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Related projects

Ministry reporting: Yes

Reporting Year: 2020

JUFO rating: 2

Last updated on 2022-20-09 at 13:25