4.2 Article

The proton FL dipole approximation in the KMR and the MRW unintegrated parton distribution functions frameworks

Journal

NUCLEAR PHYSICS A
Volume 945, Issue -, Pages 168-185

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.nuclphysa.2015.10.006

Keywords

Unintegrated parton distribution functions; Longitudinal structure function; Dipole approximation; DGLAP equations; CCFM equations; k(t)-factorization

Funding

  1. Research Council of University of Tehran
  2. Institute for Research and Planning in Higher Education

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In the spirit of performing a complete phenomenological investigation of the merits of Kimber-Martin-Ryskin (KMR) and Martin-Ryskin-Watt (MRW) unintegrated parton distribution functions (UPDF), we have computed the longitudinal structure function of the proton, F-L (x, Q(2)), from the so-called dipole approximation, using the LO and the NLO-UPDF, prepared in the respective frameworks. The preparation process utilizes the PDF of Martin et al., MSTW2008-LO and MSTW2008-NLO, as the inputs. Afterwards, the numerical results are undergone a series of comparisons against the exact k(t)-factorization and the k(t)-approximate results, derived from the work of Golec-Biernat and Stasto, against each other and the experimental data from ZEUS and H1 Collaborations at HERA. Interestingly, our results show a much better agreement with the exact k(t)-factorization, compared to the k(t)-approximate outcome. In addition, our results are completely consistent with those prepared from embedding the KMR and MRW UPDF directly into the k(t)-factorization framework. One may point out that the F-L, prepared from the KMR UPDF shows a better agreement with the exact k(t)-factorization. This is despite the fact that the MRW formalism employs a better theoretical description of the DGLAP evolution equation and has an NLO expansion. Such unexpected consequence appears, due to the different implementation of the angular ordering constraint in the KMR approach, which automatically includes the resummation of ln(1/x), BFKL logarithms, in the LO-DGLAP evolution equation. (C) 2015 Elsevier B.V. All rights reserved.

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