A flow-matching generative model trained on CoLBT-hydro data conditionally generates marginal final-state hadron spectra from jet-induced hydro responses in 0-10% Pb+Pb collisions at 5.02 TeV, matching training data statistics with approximately six orders of magnitude computational speedup.
Kumaret al.(JETSCAPE), Phys
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Jet nuclear modification factor R_AA increases with cone radius R as in-cone energy loss from elastic recoils and radiated gluons decreases at larger radii.
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A flow-matching generative model for event-by-event jet-induced hydro response in high-energy heavy-ion collisions
A flow-matching generative model trained on CoLBT-hydro data conditionally generates marginal final-state hadron spectra from jet-induced hydro responses in 0-10% Pb+Pb collisions at 5.02 TeV, matching training data statistics with approximately six orders of magnitude computational speedup.
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Jet cone size dependence of single inclusive jet suppression due to jet quenching in Pb+Pb collisions at $\sqrt{s_{\rm NN}}=5.02$ TeV
Jet nuclear modification factor R_AA increases with cone radius R as in-cone energy loss from elastic recoils and radiated gluons decreases at larger radii.