New parton-shower algorithm that exactly reproduces linearized EKT dynamics for jet thermalization including recoils, holes, quantum statistics and merging.
Qin and X.-N
6 Pith papers cite this work. Polarity classification is still indexing.
abstract
Jet quenching in high-energy heavy-ion collisions can be used to probe properties of hot and dense quark-gluon plasma. We provide a brief introduction to the concept and framework for the study of jet quenching. Different approaches and implementation of multiple scattering and parton energy loss are discussed. Recent progresses in the theoretical and phenomenological studies of jet quenching in heavy-ion collisions at RHIC and LHC are reviewed.
citation-role summary
citation-polarity summary
verdicts
UNVERDICTED 6roles
background 2polarities
background 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.
The jet broadening tensor qhat^ij in near-equilibrium QCD is controlled by the medium shear-stress tensor within the 14-moment approximation.
Photon emission rate and electromagnetic energy loss from rescattering in magnetized QGP are derived in the high-energy limit, showing slight suppression over broad jet energies.
Bayesian posteriors from JETSCAPE jet-quenching model are largely compatible across centrality but exhibit shifts across beam energy and observable class, with varying ability to predict complementary datasets.
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.
citing papers explorer
-
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.
-
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.
-
Jet Momentum Broadening in Viscous QCD Matter: A Moment Expansion Approach
The jet broadening tensor qhat^ij in near-equilibrium QCD is controlled by the medium shear-stress tensor within the 14-moment approximation.
-
Photon radiation induced by rescattering in strong-interacting medium with a magnetic field
Photon emission rate and electromagnetic energy loss from rescattering in magnetized QGP are derived in the high-energy limit, showing slight suppression over broad jet energies.
-
Bayesian inference constraints on jet quenching across centrality, beam energy, and observable classes in LHC heavy-ion collisions
Bayesian posteriors from JETSCAPE jet-quenching model are largely compatible across centrality but exhibit shifts across beam energy and observable class, with varying ability to predict complementary datasets.
-
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.