3 citations · 4 across the 4 of their papers we have counts for
4 papers
Geometric Bias and Centrality Dependence of Jet Quenching in High-Energy Nuclear Collisions
Changle Sun, Yichao Dang, Shanshan Cao
Jet quenching provides a valuable measure of the opacity of the quark-gluon plasma (QGP) produced in high-energy heavy-ion collisions. However, substantial suppression of charged h…
Deep learning for jet modification in the presence of the QGP background
Ran Li, Yi-Lun Du, Shanshan Cao
Jet interactions with the color-deconfined QCD medium in relativistic heavy-ion collisions are conventionally assessed by measuring the modification of the distributions of jet obs…
Jet momentum reconstruction in the QGP background with machine learning
Ran Li, Yi-Lun Du, Shanshan Cao
We apply a Dense Neural Network (DNN) approach to reconstruct jet momentum within a quark-gluon plasma (QGP) background, using simulated data from PYTHIA and Linear Boltzmann Trans…
Partonic Critical Opalescence and Its Impact on the Jet Quenching Parameter
Jing Wu, Shanshan Cao, Feng Li
Jet quenching parameter is essential for characterizing the interaction strength between jet partons and nuclear matter. Based on the quark-meson (QM) model, we develop a…