Helicity-dependent parton distribution functions at next-to-next-to-leading order accuracy from inclusive and semi-inclusive deep-inelastic scattering data

Fuente: arXiv
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Autores principales: MAP, Collaboration, :, Bertone, Valerio, Chiefa, Amedeo, Nocera, Emanuele R.
Formato: Preprint
Publicado: 2024
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author MAP
Collaboration
:
Bertone, Valerio
Chiefa, Amedeo
Nocera, Emanuele R.
author_facet MAP
Collaboration
:
Bertone, Valerio
Chiefa, Amedeo
Nocera, Emanuele R.
contents We present MAPPDFpol1.0, a new determination of the helicity-dependent parton distribution functions (PDFs) of the proton from a set of longitudinally polarised inclusive and semi-inclusive deep-inelastic scattering data. The determination includes, for the first time, next-to-next-to-leading order QCD corrections to both processes, and is carried out in a framework that combines a neural-network parametrisation of PDFs with a Monte Carlo representation of their uncertainties. We discuss the quality of the determination, in particular its dependence on higher-order corrections, on the choice of data set, and on theoretical constraints.
format Preprint
id arxiv_https___arxiv_org_abs_2404_04712
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Helicity-dependent parton distribution functions at next-to-next-to-leading order accuracy from inclusive and semi-inclusive deep-inelastic scattering data
MAP
Collaboration
:
Bertone, Valerio
Chiefa, Amedeo
Nocera, Emanuele R.
High Energy Physics - Phenomenology
High Energy Physics - Experiment
We present MAPPDFpol1.0, a new determination of the helicity-dependent parton distribution functions (PDFs) of the proton from a set of longitudinally polarised inclusive and semi-inclusive deep-inelastic scattering data. The determination includes, for the first time, next-to-next-to-leading order QCD corrections to both processes, and is carried out in a framework that combines a neural-network parametrisation of PDFs with a Monte Carlo representation of their uncertainties. We discuss the quality of the determination, in particular its dependence on higher-order corrections, on the choice of data set, and on theoretical constraints.
title Helicity-dependent parton distribution functions at next-to-next-to-leading order accuracy from inclusive and semi-inclusive deep-inelastic scattering data
topic High Energy Physics - Phenomenology
High Energy Physics - Experiment
url https://arxiv.org/abs/2404.04712