A data-drive analysis for heavy quark diffusion coefficient

Yingru Xu, Marlene Nahrgang, Shanshan Cao, Jonah E. Bernhard, Steffen A. Bass, A. Mischke, P. Kuijer
2018 EPJ Web of Conferences  
We apply a Bayesian model-to-data analysis on an improved Langevin framework to estimate the temperature and momentum dependence of the heavy quark diffusion coefficient in the quark-gluon plasma (QGP). The spatial diffusion coefficient is found to have a minimum around 1-3 near T c in the zero momentum limit, and has a non-trivial momentum dependence. With the estimated diffusion coefficient, our improved Langevin model is able to simultaneously describe the D-meson R AA and v 2 in three different systems at RHIC and the LHC. ⋆
doi:10.1051/epjconf/201817118001 fatcat:tsp4zcnuorew5h5w7xywgoxfsa