A data-driven analysis of the heavy quark transport coefficient

作者：Xu Yingru^*; Nahrgang Marlene; Bernhard Jonah E; Cao Shanshan; Bass Steffen A

来源：Nuclear Physics A, 2017, 967: 668-671.

DOI：10.1016/j.nuclphysa.2017.05.035

• heavy-ion collisions
• heavy quarks
• diffusion coefficient
• Bayesian analysis

Using a Bayesian model-to-data analysis, we estimate the temperature dependence of the heavy quark diffusion coefficients by calibrating to the experimental data of D-meson R-AA and nu(2) in AuAu collisions (root S-NN = 200 GeV) and PbPb collisions ("./Fiv7,7 = 2.76 TeV) [1]. The spatial diffusion coefficient D(S)2 pi T is found to be mostly constraint around (1.3-1.5)T-c and is compatible with lattice QCD calculations. We demonstrate the capability of our improved Langevin model to simultaneously describe the RAA and nu(2) at both RHIC and the LHC energies, as well as the feasibility to apply a Bayesian analysis to quantitatively study the heavy flavor transport in heavy-ion collisions.

• 出版日期2017-11