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Theoretical predictions on polarization asymmetry for Drell-Yan process with spin-one deuteron and tensor-polarized structure function b1

2019/02/13 by S. Kumano, Qin-Tao Song, Kumano, S. +1
Physics and Astronomy · #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Lattice (hep-lat) #High Energy Physics - Phenomenology (hep-ph) #High-Energy Particle Collisions Research #Nuclear Theory (nucl-th) #Particle physics theoretical and experimental studies #Quantum Chromodynamics and Particle Interactions

paper · pdf · doi:10.48550/arxiv.1902.04712

openalex publication_date 2019/02/13 · openalex created_date 2019/02/21 · openalex updated_date 2026/07/28

Abstract

We report recent theoretical progress on a polarization asymmetry in the proton-deuteron Drell-Yan process with a polarized-deuteron target and the tensor-polarized structure function b1. Experimental measurements are possible at JLab for b1 and at Fermilab for the Drell-Yan process. First, we show a theoretical estimate for the proton-deuteron Drell-Yan asymmetry in the Fermilab-E1039 experiment. We evolved tensor-polarized parton distribution functions, which explain existing HERMES b1 data, at Q2=2.5 GeV2 to the Q2 range of the Fermilab Drell-Yan measurements. Then, we predicted that the asymmetry is of the order of a few percent. The Drell-Yan experiment has an advantage to probe the tensor-polarized antiquark distributions, which were suggested by the HERMES experiment as a finite sum for b1 (∫ dx b1 (x) ≠ 0). Second, we predicted b1 for the JLab experiment by the standard convolution model of the deuteron. Our theoretical b1 structure function seems to be much different from the HERMES data. Furthermore, a significant distribution exists at very large x (>1) beyond the kinematical limit xmax=1 for the proton. Because the standard deuteron-model estimate is much different from the HERMES data, there could be an interesting development as a new hadron-physics field if future JLab data will be much different from our conventional prediction.

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