Unbiased polarized PDFs upgraded with new inclusive DIS data
Emanuele R. Nocera

TL;DR
This paper updates the polarized parton distribution functions of the proton using new inclusive deep-inelastic scattering data and advanced methodologies, reducing uncertainties and improving accuracy in the PDFs.
Contribution
It introduces NNPDFpol1.0+ by incorporating recent experimental data and modern unpolarized PDFs, enhancing the previous polarized PDF analysis.
Findings
Reduced uncertainties in polarized PDFs.
Inclusion of new experimental data sets.
Improved accuracy of proton spin structure understanding.
Abstract
I present a determination of longitudinally-polarized parton distribution functions of the proton from inclusive deep-inelastic scattering data: NNPDFpol1.0+. This determination, based on the NNPDF methodology, upgrades a previous analysis, NNPDFpol1.0, in two respects: first, it includes all new data sets which have recently become available from the COMPASS experiment at CERN and from the E93-009, EG1-DVCS and E06-014 experiments at JLAB; second, it uses the state-of-the-art unpolarized parton set NNPDF3.0 as a baseline for the reconstruction of fitted observables and for the determination of positivity constraints. I discuss the impact of both these new inputs on the uncertainty of parton distribution functions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
