A data-drive analysis for heavy quark diffusion coefficient
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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.
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2017 ◽
Vol 289-290
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pp. 273-276
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2013 ◽
Vol 41
(1)
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pp. 015102
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2011 ◽
Vol 13
(3)
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pp. 035008
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