351 citations · 3.6k across the 76 of their papers we have counts for
6 papers · 1 filter
Machine Learning in Nuclear Physics
Amber Boehnlein, Markus Diefenthaler, Cristiano Fanelli +15
Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics…
Probing criticality with deep learning in relativistic heavy-ion collisions
Yige Huang, Long-Gang Pang, Xiaofeng Luo +1
Systems with different interactions could develop the same critical behaviour due to the underlying symmetry and universality. Using this principle of universality, we can embed cr…
(3+1)-D viscous hydrodynamics CLVisc at finite net baryon density: identified particle spectra, anisotropic flows and flow fluctuations across BES energies
Xiang-Yu Wu, Guang-You Qin, Long-Gang Pang +1
To study the bulk properties of the quark-gluon-plasma (QGP) produced at the beam energy scan (BES) energies at the Relativistic Heavy Ion Collider (RHIC), we extend the (3+1)-dime…
Shear-induced spin polarization in heavy-ion collisions
Baochi Fu, Shuai Y. F. Liu, Longgang Pang +2
We study the spin polarization generated by the hydrodynamic gradients. In addition to the widely studied thermal vorticity effects, we identify an undiscovered contribution from t…
Search for the elusive jet-induced diffusion wake in -jets with 2D jet tomography in high-energy heavy-ion collisions
Zhong Yang, Wei Chen, Yayun He +3
Diffusion wake is an unambiguous part of the jet-induced medium response in high-energy heavy-ion collisions that leads to a depletion of soft hadrons in the opposite direction of…
Hydrodynamic description of meson production in high-energy heavy-ion collisions
Chi Ding, Wei-Yao Ke, Long-Gang Pang +1
The large values and the constituent-quark-number (NCQ) scaling of the elliptic flow of low- mesons imply that charm quarks, initially produced through hard processes, mig…