4.7 Article

Global extraction of the jet transport coefficient in cold nuclear matter

期刊

PHYSICAL REVIEW D
卷 103, 期 3, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.103.L031901

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资金

  1. Guangdong Major Project of Basic and Applied Basic Research [2020B0301030008]
  2. National Natural Science Foundation of China (NSFC) [12022512, 12035007]
  3. Science and Technology Program of Guangzhou [201905001]
  4. China Postdoctoral Science Foundation [2019M652929]
  5. MOE Key Laboratory of Quark and Lepton Physics (CCNU) [QLPL201802]
  6. National Science Foundation in US [PHY-1720486, PHY-1945471]

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In this paper, the first global analysis of the jet transport coefficient (q) over cap for cold nuclear matter is performed with consideration of various experimental data, quantifying the universality and kinematics dependence of the nuclear medium property encoded in (q) over cap.
Within the framework of the generalized QCD factorization formalism, a set of nuclear-dependent observables all arise from the quark-gluon and gluon-gluon correlation functions, which are closely connected to the well-known jet transport coefficient ((q) over cap) for the nucleus. In this paper, we perform the first global analysis of (q) over cap for cold nuclear matter with a kinematics dependent parametrization. The analysis takes into account the world data on transverse momentum broadening in semi-inclusive electron-nucleus deep inelastic scattering, Drell-Yan dilepton and heavy quarkonium production in proton-nucleus collisions, as well as the nuclear modification of the structure functions in deep inelastic scattering, comprising a total of 215 data points from 8 datasets. Within our scheme, we clarify quantitatively the universality and kinematics dependence of the nuclear medium property as encoded in (q) over cap. We expect that the determined parametrization of (q) over cap in cold nuclear matter will have significant impact on precise identification of the transport property of hot dense medium created in heavy ion collisions.

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