New parton-shower algorithm that exactly reproduces linearized EKT dynamics for jet thermalization including recoils, holes, quantum statistics and merging.
Caoet al.(JETSCAPE), Phys
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UNVERDICTED 8representative citing papers
A light-front Hamiltonian method evolves a quark through Glasma fields to obtain transverse momentum broadening and jet quenching consistent with classical scaling in saturation momentum.
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.
Bayesian constraints on early-time jet quenching from large collision systems yield predictions of measurable energy loss in oxygen-oxygen collisions.
The jet broadening tensor qhat^ij in near-equilibrium QCD is controlled by the medium shear-stress tensor within the 14-moment approximation.
Factorized sequential Bayesian updates on correlated pseudo-data produce systematic deviations from the joint posterior that increase with correlation strength, while exact conditional-likelihood updates match the joint result; an information decomposition attributes the mismatch to parameter-tuned,
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.
Minijet thermalization time in a thermal gluon plasma scales with the jet quenching parameter q-hat once recoiling medium contributions are added to standard transport coefficient definitions.
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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Light-front Hamiltonian jet evolution in the Glasma
A light-front Hamiltonian method evolves a quark through Glasma fields to obtain transverse momentum broadening and jet quenching consistent with classical scaling in saturation momentum.
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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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Bayesian Constraints on Pre-Equilibrium Jet Quenching and Predictions for Oxygen Collisions
Bayesian constraints on early-time jet quenching from large collision systems yield predictions of measurable energy loss in oxygen-oxygen collisions.
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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.
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Sequential Bayesian inference with correlated heavy-ion datasets
Factorized sequential Bayesian updates on correlated pseudo-data produce systematic deviations from the joint posterior that increase with correlation strength, while exact conditional-likelihood updates match the joint result; an information decomposition attributes the mismatch to parameter-tuned,
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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.
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Minijet thermalization and jet transport coefficients in QCD kinetic theory
Minijet thermalization time in a thermal gluon plasma scales with the jet quenching parameter q-hat once recoiling medium contributions are added to standard transport coefficient definitions.