Publications
Publication Information
| Title | Neutron valence structure from nuclear deep inelastic scattering |
| Authors | Efrain Segarra, Axel Schmidt, Tyler Kutz, Douglas Higinbotham, Eliazer Piasetzky, Mark Strikman, Lawrence Weinstein, O. Hen |
| JLAB number | JLAB-PHY-20-3176 |
| LANL number | arXiv:1908.02223 |
| Other number | DOE/OR/23177-4957 |
| Document Type(s) | (Journal Article) |
| Associated with EIC: | No |
| Supported by Jefferson Lab LDRD Funding: | No |
| Funding Source: | Nuclear Physics (NP) |
| Other Funding: | FG02-94ER40818 FG02-96ER-40960 FG02-93ER40771 |
|
Journal Compiled for Physical Review Letters Volume 124 Page(s) 092002 Refereed | |
| Publication Abstract: | Mechanisms of spin-flavor SU(6) symmetry breaking in Quantum Chromodynamics (QCD) are studied via an extraction of the free neutron structure function from a global analysis of deep inelastic scattering (DIS) data on the proton and on nuclei from $A = 2$ (deuterium) to 208 (lead). Modification of the structure function of nucleons bound in atomic nuclei (known as the EMC effect) are consistently accounted for within the framework of a universal modification of nucleons in short-range correlated (SRC) pairs. Our extracted neutron-to-proton structure function ratio $F_2^n/F_2^p$ becomes constant for $x_B \ge 0.6$, equalling $0.47 \pm 0.04$ as $x_B \rightarrow 1$, in agreement with theoretical predictions of perturbative QCD and the Dyson Schwinger equation, and in disagreement with predictions of the Scalar Diquark dominance model. We also predict $F_2^{^3\mathrm{He}}/F_2^{^3\mathrm{H}}$, recently measured, yet unpublished, by the MARATHON collaboration, the nuclear correction function that is needed to extract $F_2^n/F_2^p$ from $F_2^{^3\mathrm{He}}/F_2^{^3\mathrm{H}}$, and the theoretical uncertainty associated with this extraction. |
| Experiment Numbers: | other |
| Group: | Hall A |
| Document: | |
| DOI: | https://doi.org/10.1103/PhysRevLett.124.092002 |
| Accepted Manuscript: | 1908.02223.pdf |
| Supporting Documents: | |
| Supporting Datasets: | |