2 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
Locating critical point of QCD phase transition basing on finite-size scaling
Chen Lizhu, X. S. Chen, Wu Yuanfang
It is argued that in relativistic heavy ion collisions, due to limited size of the formed matter, the reliable criterion of critical point is finite-size scaling, rather than non-m…