Parton distribution of nucleon and nuclear EMC effect in a statistical model
Xian-Qiao Yu

TL;DR
This paper demonstrates that a statistical model can effectively describe the parton distribution in nucleons and the nuclear EMC effect, fitting experimental data across a broad range of momentum fractions.
Contribution
It introduces a statistical approach that captures the parton distribution and EMC effect, highlighting the significance of statistical laws in these phenomena.
Findings
Statistical model fits experimental data well across most x ranges.
Statistical laws are crucial in understanding parton distributions.
Model parameters can be tuned for accurate predictions.
Abstract
We study the parton distribution of nucleon and nuclear EMC effect in a statistical model. We find when we choose the parameters appropriately, the predictions given by pure statistical laws can fit the experimental data well in most range of , this reveal statistical law play an important role in the parton distribution of nucleon.
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Particle physics theoretical and experimental studies · Quantum Chromodynamics and Particle Interactions
