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PreprintCC BY-NC-ND 4.0arXiv

Towards the new NNPDF4.1 global analysis

  • Felix Hekhorn
Open at sourcePDFDOICite

Abstract

We review progress and plans towards a new global PDF analysis from the NNPDF Collaboration. This new release will be based on state-of-the-art theory calculations, and in particular will be based on exact NNLO interpolation grids, (approximate) N3LO QCD corrections to DGLAP evolution and DIS structure functions, and QED effects to DGLAP evolution. All relevant sources of experimental and theoretical uncertainties, the latter including missing higher orders and higher twists, are taken into account. As compared to NNPDF4.0, this new release includes more than 25 new datasets from HERA jets to Drell-Yan (inclusive and with extra jets), top quark, and jet production at the LHC among others. Our machine learning methodology is statistically validated by extensive closure and future tests and benefits from an improved hyperoptimization algorithm.

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Cite

BibTeXRIS
BibTeX
@misc{hekhorn2026towards,
  title = {{Towards the new NNPDF4.1 global analysis}},
  author = {Felix Hekhorn},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.15574},
  eprint = {2609.15574},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.15574},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Towards the new NNPDF4.1 global analysis
AU  - Felix Hekhorn
PY  - 2026
DA  - 2026/09/14
PB  - arXiv
DO  - 10.48550/arxiv.2609.15574
UR  - https://arxiv.org/abs/2609.15574
AB  - We review progress and plans towards a new global PDF analysis from the NNPDF Collaboration. This new release will be based on state-of-the-art theory calculations, and in particular will be based on exact NNLO interpolation grids, (approximate) N3LO QCD corrections to DGLAP evolution and DIS structure functions, and QED effects to DGLAP evolution. All relevant sources of experimental and theoretical uncertainties, the latter including missing higher orders and higher twists, are taken into account. As compared to NNPDF4.0, this new release includes more than 25 new datasets from HERA jets to Drell-Yan (inclusive and with extra jets), top quark, and jet production at the LHC among others. Our machine learning methodology is statistically validated by extensive closure and future tests and benefits from an improved hyperoptimization algorithm.
ER  -