R-dependence of jet observables with JEWEL+v-USPhydro

The R-dependence of jet observables provides a new tool in understanding the interplay between the jet energy-loss mechanism and medium response in heavy-ion collisions. This work applies the Monte Carlo events generator JEWEL and PYTHIA, coupled with T_RENTo initial conditions and the state-of-the-art (2+1)D v-USPhydro, for the simulation of jet distributions and substructure observables for lead-lead collisions at LHC energy scales. We present the jet nuclear modification R_AA and anisotropic flow coefficients v_n=2,3 varying the jet cone radius R, in the context of anti-k_T jets, in addition to leading subjet fragmentation. The calculations indicate the impacts of the hydrodynamic evolution and weakly-coupled medium response, given by recoils, on the distributions. Results are compared to experimental data in a wide range of jet p_T and collision centrality, and displayed along large jets (R ≥ 0.6) predictions.