Quark helicity distributions in the nucleon for up, down, and strange quarks from semi--inclusive deep--inelastic scattering
HERMES Collaboration, A. Airapetian
TL;DR
This study uses semi-inclusive deep-inelastic scattering with hadron tagging to extract flavor-separated quark helicity distributions in the nucleon. Employing a leading-order QCD framework and a Monte Carlo-tuned purity method, it delivers the first detailed, flavor-specific quark polarization results, finding Δu>0, Δd<0, and Δubar≈Δdbar≈Δs≈0 within uncertainties. An isoscalar approach provides an independent check on the strange quark polarization, while unfolding techniques account for radiative and detector smearing effects, yielding robust Born-level asymmetries and correlated uncertainties. Overall, the moments of the extracted helicity densities align with inclusive fits, and the data favor flavor symmetry in the light sea within experimental errors, offering important constraints for spin-structure models.
Abstract
Polarized deep--inelastic scattering data on longitudinally polarized hydrogen and deuterium targets have been used to determine double spin asymmetries of cross sections. Inclusive and semi--inclusive asymmetries for the production of positive and negative pions from hydrogen were obtained in a re--analysis of previously published data. Inclusive and semi--inclusive asymmetries for the production of negative and positive pions and kaons were measured on a polarized deuterium target. The separate helicity densities for the up and down quarks and the anti--up, anti--down, and strange sea quarks were computed from these asymmetries in a ``leading order'' QCD analysis. The polarization of the up--quark is positive and that of the down--quark is negative. All extracted sea quark polarizations are consistent with zero, and the light quark sea helicity densities are flavor symmetric within the experimental uncertainties. First and second moments of the extracted quark helicity densities in the measured range are consistent with fits of inclusive data.
