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Publication Information
Title Neutron Spin Structure from e-3He Scattering with Double Spectator Tagging at the Electron-Ion Collider
Abstract The spin structure function of the neutron is traditionally determined by measuring the spin asymmetry of inclusive electron deep inelastic scattering (DIS) off polarized 3He nuclei. In such experiments, nuclear effects can lead to large model dependencies in the interpretation of experimental data. Here we study the feasibility of suppressing such model dependencies by tagging both spectator protons in the process of DIS off neutrons in3He at the forthcoming Electron-Ion Collider (EIC). This allows reconstructing the momentum of the struck neutron to ensure it was nearly at rest in the initial state, thereby reducing sensitivity to nuclear corrections, and suppress contributions from electron DIS off protonsin3He. Using realistic accelerator and detector configurations, we find that the EIC can probe the neutron spin structure from xB of 0.003 to 0.651. We further find that the double spectator tagging method results in reduced uncertainties bya factor of 4 on the extracted neutro
Author(s) Ivica Friscic, Dien Nguyen, Jackson Pybus, A. Jentsch, Mark Baker, O. Hen, Douglas Higinbotham, Richard Milner, Arun Tadepalli, Jennifer Rittenhouse West, Efrain Segarra
Publication Date October 2021
Document Type Journal Article
Primary Institution Massachusetts Institute of Technology, Cambridge, MA
Affiliation Exp Nuclear Physics / Physics Division Office / Administrative
Funding Source Nuclear Physics (NP)
Proprietary? No
This publication conveys Technical Science Results
Document Numbers
JLAB Number: JLAB-PHY-21-3427 OSTI Number: 1827076
LANL Number: arXiv:2106.08805 Other Number: DOE/OR/23177-5243
Associated with an experiment No
Associated with EIC Yes
Supported by Jefferson Lab LDRD Funding No
Journal Article
Journal Name Physics Letters B
Refereed Yes
Volume 823
Issue
Page(s) 136726
Attachments/Datasets/DOI Link
Document(s)
1-s2.0-S0370269321006663-main.pdf (Accepted Manuscript)
DOI Link
Dataset(s) (none)
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