A data-drive analysis for heavy quark diffusion coefficient

A data-drive analysis for heavy quark diffusion coefficient

Blog Article

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 read more plasma (QGP).The spatial diffusion coefficient is found to have a minimum around 1-3 near Tc in the zero momentum limit, and has a non-trivial momentum dependence.With the estimated diffusion coefficient, our improved Langevin model is able click here to simultaneously describe the D-meson RAA and v2 in three different systems at RHIC and the LHC.