A data-drive analysis for heavy quark diffusion coefficient
Department of Physics, Duke University, Durham, NC 27708, USA
2 SUBATECH, UMR 6457, IMT Atlantique, Universit de Nantes, IN2P3/CNRS, Nantes, France
3 Department of Physics and Astronomy, Wayne State University, Detroit, MI, 48201
* e-mail: email@example.com
Published online: 2 February 2018
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 Tc 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 RAA and v2 in three different systems at RHIC and the LHC.
© The Authors, published by EDP Sciences, 2018
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