Bayesian Inference of Heavy-Quark Dissipation and Jet Transport Parameters from D-Meson observables in heavy-ion collisions at the LHC energies
This study presents the first simultaneous Bayesian inference of temperature-dependent heavy-quark spatial diffusion and jet transport coefficients in quark-gluon plasma using LHC D-meson data, revealing a non-monotonic temperature dependence in their ratio and establishing a data-driven quantitative relationship between these fundamental transport properties.