English

Inclusive jet and dijet productions using $k_t$ and $(z,k_t)\textrm{-factorizations}$ versus ZEUS collaboration data

High Energy Physics - Phenomenology 2021-08-02 v1 High Energy Physics - Experiment High Energy Physics - Theory

Abstract

In this paper, we investigate the differential cross sections of the inclusive jet and dijet productions of the ZEUS collaboration data at the center of mass energies of 300  GeV\sim 300\;GeV and 319  GeV 319\;GeV using the ktk_t and (z,kt)-factorizations(z,k_t)\textrm{-factorizations} with the different unintegrated and double unintegrated parton distribution functions, i.e., UPDFs and DUPDFs, respectively. The \textsc{KaTie} event generator is used to calculate the differential cross section with the UPDFs, while for the input DUPDFs the calculations are directly performed by evaluating the corresponding matrix elements. We check the effect of choosing the different implementation of angular or strong ordering constraints using the UPDFs and the corresponding DUPDFs of Kimber-Martin-Ryskin (KMR) and the leading-order (LO) and next-to-leading-order (NLO) Martin-Ryskin-Watt (MRW) approaches. The impacts of choosing virtualities k2=kt2k^2 = k_t^2 or k2=kt2(1z)k^2 = {k_t^2\over {(1-z)}} in the differential cross section predictions for the ZEUS experimental data are also investigated. It is observed that, as one should expect, the applications of (z,kt)-factorization(z,k_t)\textrm{-factorization} is better than the kt-factorizationk_t\textrm{-factorization} framework for the predictions of high virtuality Q2Q^2 with respect to the ZEUS collaboration data, and also the results of the KMR and LO-MRW UPDFs and DUPDFs are reasonably close to each other and in general can describe the data. It is also observed that only in the case of ktk_t-factorization, the inclusion of Born level makes our results to overshoot the inclusive jet experimental data.

Keywords

Cite

@article{arxiv.2107.14644,
  title  = {Inclusive jet and dijet productions using $k_t$ and $(z,k_t)\textrm{-factorizations}$ versus ZEUS collaboration data},
  author = {R. Kord Valeshabadi and M. Modarres and S. Rezaie and R. Aminzadeh Nik},
  journal= {arXiv preprint arXiv:2107.14644},
  year   = {2021}
}