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Man Xie¹, Weiyao Ke ^2,3,4,*, Hanzhong Zhang^1,†, and Xin-Nian Wang ^2,3,‡

¹Key Laboratory of Quark and Lepton Physics (MOE) and Institute of Particle Physics, Central China Normal University, Wuhan 430079, China
²Department of Physics, University of California, Berkeley, California 94720, USA
³Nuclear Science Division MS 70R0319, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
⁴Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

^*weiyaoke@lanl.gov
^†zhanghz@mail.ccnu.edu.cn
^‡xnwang@lbl.gov

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Articles Citing

Information-field-based global Bayesian inference of the jet transport coefficient

Geometric Bias and Centrality Dependence of Jet Quenching in High-Energy Nuclear Collisions

Radial Distribution of Subjets in p + p and Pb + Pb Collisions

Parton fragmentation functions extracted with a physics-informed neural network

System-size dependence of charged-particle suppression in ultrarelativistic nucleus-nucleus collisions

Extracting transport properties from the heavy-quark potential with neural networks in a holographic model

Observation of Suppressed Charged-Particle Production in Ultrarelativistic Oxygen-Oxygen Collisions

Jet energy loss in anisotropic plasmas meets limiting attractors

Data-driven analysis for the bottomonium potential in the quark-gluon plasma

Bayesian model selection and uncertainty propagation for beam energy scan heavy-ion collisions

Jet cone size dependence of single inclusive jet suppression due to jet quenching in Pb+Pb collisions at sNN=5.02TeV

Bayesian inference of heavy-quark dissipation and jet transport parameters from D -meson observables in heavy-ion collisions at energies available at the CERN Large Hadron Collider

An improved linear Boltzmann transport model for hadron and jet suppression in ultrarelativistic heavy-ion collisions

Constraining jet quenching in heavy-ion collisions with Bayesian inference

Measurement of isolated-prompt photon–hadron correlations in Pb–Pb collisions at $$\sqrt{{s}_{{\textrm{NN}}}} = 5.02$$ TeV

Bayesian inference of the magnetic field and chemical potential on holographic jet quenching in heavy-ion collisions*

No title available

Jet momentum reconstruction in the QGP background with machine learning

Flavor Hierarchy of Jet Energy Correlators inside the Quark-Gluon Plasma

Bayesian inference of the critical end point in a ( 2+1 )-flavor system from holographic QCD

Jet quenching and quark energy loss from holographic QCD

Phenomenological study of the angle between jet axes in heavy-ion collisions

Bayesian inference analysis of jet quenching using inclusive jet and hadron suppression measurements

Statistical analysis of pQCD energy loss across system size, flavor, $$ \sqrt{s_{NN}} $$, and pT

Transverse momentum spectra and angular correlations in $$Z/\gamma$$-hadron production in relativistic heavy-ion collisions

Mode-by-mode evolution of Pb–Pb collisions at 5.02 TeV in a hybrid model

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