English

Imaging nuclear modifications on parton distributions with triple-differential dijet cross sections in proton-nucleus collisions

High Energy Physics - Phenomenology 2022-06-08 v1 Nuclear Theory

Abstract

Dijet production in proton-nucleus (ppA) collisions at the LHC provides invaluable information on the underlying parton distributions in nuclei, especially the gluon distributions. Triple-differential dijet cross sections enable a well-controlled kinematic scan (over momentum fraction xx and probing scale Q2Q^2) of the nuclear parton distribution functions (nPDFs), i.e., fiA(x,Q2)f^\textrm{A}_i(x,Q^2). In this work, we study several types of triple-differential cross sections for dijet production in proton-proton (pppp) and proton-lead (ppPb) collisions at the LHC, to next-to-leading order within the framework of perturbative quantum chromodynamics (pQCD). Four sets of nPDF parametrizations, EPPS16, nCTEQ15, TUJU19, and nIMParton16 are employed in the calculations for ppPb collisions. We show that the observable nuclear modification factor RpPbR_{p\textrm{Pb}} of such cross sections can serve as a nice image of the nuclear modifications on parton distributions, quantified by the ratio riA(x,Q2) ⁣= ⁣fiA,proton(x,Q2)/fiproton(x,Q2)r^{\textrm{A}}_i(x,Q^2)\!=\!f^\textrm{A,proton}_i(x,Q^2)/f^\textrm{proton}_i(x,Q^2). Considerable differences among the RpPbR_{p\textrm{Pb}} predicted by the four nPDF sets can be observed and intuitively understood. Future measurements of such observables are expected to not only constrain the nPDF parametrizations, but also help confirm various nuclear effects, e.g., shadowing, anti-shadowing, EMC, and Fermi motion in different regions of xx and their variations with probing scale Q2Q^2.

Keywords

Cite

@article{arxiv.2112.11819,
  title  = {Imaging nuclear modifications on parton distributions with triple-differential dijet cross sections in proton-nucleus collisions},
  author = {Shuwan Shen and Peng Ru and Ben-Wei Zhang},
  journal= {arXiv preprint arXiv:2112.11819},
  year   = {2022}
}

Comments

15 pages, 15 figures