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PreprintarXiv licencearXiv

Theory updates for parton distributions in Hessian formalism

Abstract

We present a new extension to the toolbox of parton-distribution reweighting methods, which enables a general user to study the impact of an updated theory prediction on the results of a pre-existing parton-distribution global analysis. This new method is a combination of the well-known reweighting method with a new deweighting variant where a dataset is removed from the original analysis in an approximate way. Specific use cases of this method could include e.g. testing the impact of updating the treatment of an observable from NnLO to Nn+1LO precision in the global analysis, or including previously ignored electroweak, mass, resummation, or higher-twist effects, or even testing the impact of some beyond-standard-model physics. We discuss the implementation of this method in the Hessian formalism, and show its use in a single case study, where we update the treatment of dimuon production in neutrino-induced DIS with the novel semi-inclusive DIS approach.

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BibTeX
@misc{paakkinen2026theory,
  title = {{Theory updates for parton distributions in Hessian formalism}},
  author = {Petja Paakkinen and Hannu Paukkunen and Sami Yrjänheikki},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.08761},
  eprint = {2609.08761},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.08761},
}
RIS
TY  - UNPB
TI  - Theory updates for parton distributions in Hessian formalism
AU  - Petja Paakkinen
AU  - Hannu Paukkunen
AU  - Sami Yrjänheikki
PY  - 2026
DA  - 2026/09/08
PB  - arXiv
DO  - 10.48550/arxiv.2609.08761
UR  - https://arxiv.org/abs/2609.08761
AB  - We present a new extension to the toolbox of parton-distribution reweighting methods, which enables a general user to study the impact of an updated theory prediction on the results of a pre-existing parton-distribution global analysis. This new method is a combination of the well-known reweighting method with a new deweighting variant where a dataset is removed from the original analysis in an approximate way. Specific use cases of this method could include e.g. testing the impact of updating the treatment of an observable from N^nLO to N^n+1LO precision in the global analysis, or including previously ignored electroweak, mass, resummation, or higher-twist effects, or even testing the impact of some beyond-standard-model physics. We discuss the implementation of this method in the Hessian formalism, and show its use in a single case study, where we update the treatment of dimuon production in neutrino-induced DIS with the novel semi-inclusive DIS approach.
ER  -