A data-drive analysis for heavy quark diffusion coefficient

Published

Conference Paper

© 2018 The Authors, published by EDP Sciences. 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.

Full Text

Duke Authors

Cited Authors

  • Xu, Y; Nahrgang, M; Cao, S; Bernhard, JE; Bass, SA

Published Date

  • February 2, 2018

Published In

Volume / Issue

  • 171 /

Electronic International Standard Serial Number (EISSN)

  • 2100-014X

International Standard Serial Number (ISSN)

  • 2101-6275

International Standard Book Number 13 (ISBN-13)

  • 9782759890330

Digital Object Identifier (DOI)

  • 10.1051/epjconf/201817118001

Citation Source

  • Scopus