English

Parton densities with the quark linear potential in the statistical approach

High Energy Physics - Phenomenology 2014-03-27 v1

Abstract

The statistical approach is used to calculate the parton distribution functions (PDFs) of the nucleon. At first it is assumed that the partons are free particles and the light-front kinematic variables are employed to extract the Bjorken xx-dependence of the PDFs. These PDFs are used to evaluate the combinations of the sea quarks such as dˉuˉ\bar d-\bar u. As our first attempt to improve the result, we make the statistical parameters to depend on Q2Q^2, using different values of Gottfried sum rule. The related results are indicating better behavior by accessing to the PDFs while they contain the Q2Q^2 dependence parameters. As a further task and in order to have more improvement in the calculations, a linear potential is considered to describe the quark interactions. The solution of the related Dirac equation yields the Airy function and is considered as a wave function in spatial space. Using the fourier transformation the wave functions are obtained in momentum space. Based on the light-front kinematic variables and using a special method which we call it "k method", these functions can be written in terms of the Bjorken xx-variable. Following that the statistical features are accompanied with these functions. Considering an effective approach which is used in this article, we do not need to resort to any extra effects as were assumed in some articles to get a proper results for PDFs. The obtained results for dˉuˉ\bar d-\bar u and the dˉuˉ\frac{\bar d}{\bar u} ratio, using our effective approach, are in good agreement with the available experimental data and some theoretical results.

Keywords

Cite

@article{arxiv.1403.6524,
  title  = {Parton densities with the quark linear potential in the statistical approach},
  author = {A. Mirjalili and M. Dehghani and M. M. Yazdanpanah},
  journal= {arXiv preprint arXiv:1403.6524},
  year   = {2014}
}

Comments

18 pages, 7 figures

R2 v1 2026-06-22T03:34:28.459Z