New parton-shower algorithm that exactly reproduces linearized EKT dynamics for jet thermalization including recoils, holes, quantum statistics and merging.
Cao, et al., Determining the jet transport coe fficient ˆq from inclusive hadron suppression measurements using Bayesian parameter estimation, Phys
9 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
We report a new determination of $\hat{q}$, the jet transport coefficient of the Quark-Gluon Plasma. We use the JETSCAPE framework, which incorporates a novel multi-stage theoretical approach to in-medium jet evolution and Bayesian inference for parameter extraction. The calculations, based on the MATTER and LBT jet quenching models, are compared to experimental measurements of inclusive hadron suppression in Au+Au collisions at RHIC and Pb+Pb collisions at the LHC. The correlation of experimental systematic uncertainties is accounted for in the parameter extraction. The functional dependence of $\hat{q}$ on jet energy or virtuality and medium temperature is based on a perturbative picture of in-medium scattering, with components reflecting the different regimes of applicability of MATTER and LBT. In the multi-stage approach, the switch between MATTER and LBT is governed by a virtuality scale $Q_0$. Comparison of the posterior model predictions to the RHIC and LHC hadron suppression data shows reasonable agreement, with moderate tension in limited regions of phase space. The distribution of $\hat{q}/T^3$ extracted from the posterior distributions exhibits weak dependence on jet momentum and medium temperature $T$, with 90\% Credible Region (CR) depending on the specific choice of model configuration. The choice of MATTER+LBT, with switching at virtuality $Q_0$, has 90\% CR of $2<\hat{q}/T^3<4$ for $p_\mathrm{T}^\mathrm{jet}>40$ GeV/c. The value of $Q_0$, determined here for the first time, is in the range 2.0-2.7 GeV.
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representative 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.
Suppression of high-pT hadrons in peripheral Pb+Pb collisions is predominantly driven by initial-state geometric bias rather than final-state jet quenching.
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.
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