Next-to-next-to-leading order QCD analysis of spin-dependent parton distribution functions and their uncertainties: Jacobi polynomials approach
F. Taghavi Shahri, Hamzeh Khanpour, S. Atashbar Tehrani, Z. Alizadeh, Yazdi

TL;DR
This paper performs a comprehensive NNLO QCD analysis of spin-dependent parton distribution functions using the Jacobi polynomial approach, incorporating recent experimental data to improve understanding of nucleon spin structure and uncertainties.
Contribution
It introduces a novel NNLO analysis of polarized PDFs with the Jacobi polynomial method, including recent high-precision data and uncertainty estimation.
Findings
NNLO polarized PDFs agree well with experimental data.
Inclusion of recent COMPASS16 data refines the polarized structure functions.
Uncertainties in PDFs are carefully estimated using the Hessian method.
Abstract
We present a first QCD analysis of next-to-next-leading-order (NNLO) contributions of the spin-dependent parton distribution functions (PPDFs) in the nucleon and their uncertainties using the Jacobi polynomial approach. Having the NNLO contributions of the quark-quark and gluon-quark splitting functions in perturbative QCD (Nucl. Phys. B 889 (2014) 351-400), one can obtain the evolution of longitudinally polarized parton densities of hadrons up to NNLO accuracy of QCD. A very large sets of recent and up-to-date experimental data of spin structure functions of the proton , neutron , and deuteron have been used in this analysis. The predictions for the NNLO calculations of the polarized parton distribution functions as well as the proton, neutron and deuteron polarized structure functions are compared with the corresponding results of the NLO approximation. We form a…
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