78 citations · 338 across the 24 of their papers we have counts for
6 papers · 1 filter
Reducing Systematic Bias in Machine Learning Applications to Signal Extraction in High-Energy Nuclear Physics
Yan Wang, Rangrong Ma, Kaifeng Shen +2
Machine learning techniques are increasingly being applied in high-energy nuclear physics data analysis thanks to their outstanding performance. One key challenge in such applicati…
Energy dependence of rescattering effect on vector mesons spin alignment at RHIC
Zihan Liu, Ziyang Li, Wangmei Zha +1
Spin alignment of vector mesons in heavy-ion collisions provides a novel probe of quark polarization and hadronization mechanism in quark-gluon plasma. Hadronic rescattering may af…
Probing the Collision Geometry via Two-Photon Processes in Heavy-Ion Collisions
Jiaxuan Luo, Xinbai Li, Zebo Tang +4
The initial collision geometry, including the reaction plane, is crucial for interpreting collective phenomena in relativistic heavy-ion collisions, yet it remains experimentally i…
Calculations of Di-Hadron Production via Two-Photon Processes in Relativistic Heavy-Ion Collisions
Luobing Wang, Xinbai Li, Zebo Tang +2
Two-photon processes in relativistic heavy-ion collisions have emerged as a critical probe of quantum electrodynamics in ultra-intense electromagnetic fields, with recent focus ext…
Probing Gluon Shadowing in Heavy Nuclei through Bayesian Reweighting of J/ Photoproduction in Ultra-Peripheral Collisions
Pengzhong Lu, Zebo Tang, Xin Wu +1
The gluon distribution in nuclei plays a pivotal role in understanding quantum chromodynamics (QCD) under extreme nuclear environments, yet remains poorly constrained compared to q…
Rescattering effects on spin-interference for photoproduction in heavy-ion collisions
Yusong Wang, Xinbai Li, Ziyang Li +3
Recent measurements by various experiments in ultra-peripheral collisions have observed spin-interference in photoproduction, marking a breakthrough in Fermi-scale quantum…