13 papers
Shedding light on the nature of with the parton and hadron cascade model PACIAE
Jian Cao, Wen-Chao Zhang, Bo Feng +8
The nature of remains open. We simulate its production in collisions at GeV using PACIAE 4.0, which sequentially generates the final partonic st…
A novel approach for studying two-particle momentum correlation function in relativistic nuclear collisions
Zhi-Lei She, Wen-Chao Zhang, An-Ke Lei +7
Two particle momentum correlation functions provide a nontrivial tool for probing the strong interaction and/or extracting particle emission source information in relativistic nucl…
QCD matter at a finite magnetic field and nonzero chemical potential
Zhi-Ying Qin, Bo Feng, Ya-Hui Hou +4
We construct a hybrid equation of state (EoS) by smoothly interpolating the EoS in the hadron resonance gas at low temperatures to that in the ideal parton gas at high temperatures…
Deciphering the universal scaling of particle transverse momentum spectra in heavy-ion collisions
Xi-Yao Guo, Hua Zheng, Wenchao Zhang +5
We systematically investigate the scaling properties of the transverse momentum spectra for pions, kaons, and protons in Au+Au collisions at = 7.7, 11.5, 14.5, 19.6…
Deciphering the nature of with the PACIAE model
Jian Cao, Wen-Chao Zhang, Jin-Peng Zhang +7
Inspired by the BESIII newest observation of an axial-vector particle in the process, we simulate its production in collisions at $…
A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC
Jun-Qi Tao, Xiang Fan, Yang Liu +4
We develop a neural network model, based on the processes of high-energy heavy-ion collisions, to study and predict several experimental observables in Au+Au collisions. We present…