New parton-shower algorithm that exactly reproduces linearized EKT dynamics for jet thermalization including recoils, holes, quantum statistics and merging.
Mach cone induced by $\gamma$-triggered jets in high-energy heavy-ion collisions
2 Pith papers cite this work. Polarity classification is still indexing.
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abstract
MMedium excitation by jet shower propagation inside a quark-gluon plasma is studied within a linear Boltzmann transport and a multiphase transport model. Contrary to the naive expectation, it is the deflection of both the jet shower and the Mach-cone-like excitation in an expanding medium that is found to gives rise to a double-peak azimuthal particle distribution with respect to the initial jet direction. Such deflection is the strongest for hadron-triggered jets which are often produced close to the surface of dense medium due to trigger-bias and travel against or tangential to the radial flow. Without such trigger bias, the effect of deflection on $\gamma$-jet showers and their medium excitation is weaker. Comparative study of hadron and $\gamma$-triggered particle correlations can therefore reveal the dynamics of jet-induced medium excitation in high-energy heavy-ion collisions.
verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
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Deriving a parton shower for jet thermalization in QCD plasmas
New parton-shower algorithm that exactly reproduces linearized EKT dynamics for jet thermalization including recoils, holes, quantum statistics and merging.
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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.