First simultaneous Bayesian extraction of 2πT D_s and q-hat/T^3 from D-meson R_AA and v2 at 5.02 TeV, yielding a non-monotonic temperature dependence in their ratio that deviates from the expected value of 2.
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Proposes dijet mass modification as observable for parton energy loss, applies SCET jet functions to heavy flavor jets in nuclear collisions, and develops opacity expansion for in-medium showers.
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Bayesian Inference of Heavy-Quark Dissipation and Jet Transport Parameters from D-Meson observables in heavy-ion collisions at the LHC energies
First simultaneous Bayesian extraction of 2πT D_s and q-hat/T^3 from D-meson R_AA and v2 at 5.02 TeV, yielding a non-monotonic temperature dependence in their ratio that deviates from the expected value of 2.
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Aspects of heavy flavor jet physics in heavy ion collisions
Proposes dijet mass modification as observable for parton energy loss, applies SCET jet functions to heavy flavor jets in nuclear collisions, and develops opacity expansion for in-medium showers.
- System-size dependence of the $D^0$--$D_s^+$ flow splitting from early $D_s^+$ formation at $\sqrt{s_{NN}} = 5.36$~TeV