2 citations · 4 across the 7 of their papers we have counts for
5 papers · 1 filter
Understanding the Intermittency Signal in RHIC-STAR Data through Modeling
Jin Wu, Zhiming Li, Mingmei Xu +3
Intermittency analysis provides a promising probe of scale-invariant density fluctuations near the QCD critical point. The intermittency measurements reported in the STAR BES-I dat…
Model Study of Eigen-Microstate Signatures of Criticality in Relativistic Heavy-Ion Collisions
Ranran Guo, Jin Wu, Mingmei Xu +8
We present a comprehensive model study of the eigen-microstate approach (EMA) for identifying critical fluctuations in relativistic heavy-ion collisions. Using UrQMD and two stocha…
Identifying weak critical fluctuations of intermittency in heavy-ion collisions with topological machine learning
Rui Wang, Chengrui Qiu, Chuan-Shen Hu +2
Large density fluctuations of conserved charges have been proposed as a promising signature for exploring the QCD critical point in heavy-ion collisions. These fluctuations are exp…
Impact of Limited Statistics on the Measured Hyper-Order Cumulants of Net-Proton Distributions in Heavy-Ion Collisions
Lizhu Chen, Ye-Yin Zhao, Yunshan Cheng +3
Hyper-order cumulants and of net-baryon distributions are anticipated to offer crucial insights into the phase transition from quark-gluon plasma to hadronic ma…
Exploring percolation phase transition in the three-dimensional Ising model with machine learning
Ranran Guo, Xiaobing Li, Rui Wang +3
The percolation study offers valuable insights into the characteristics of phase transition, shedding light on the underlying mechanisms that govern the formation of global connect…