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11 papers · 2 filters
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…
Phase Transition Study meets Machine Learning
Yu-Gang Ma, Long-Gang Pang, Rui Wang +1
In recent years, machine learning (ML) techniques have emerged as powerful tools for studying many-body complex systems, and encompassing phase transitions in various domains of ph…
Study of neutron density fluctuation and neutron-proton correlation in Au+Au collisions using PYTHIA8/Angantyr
Zhang Zuman, Li Sha, Yu Ning +4
Utilizing the PYTHIA8 Angantyr model, which incorporates the multiple-parton interactions (MPI) based color reconnection (CR) mechanism, we study the relative neutron density fluct…
Reexamining charm versus bottom quark energy loss inside a color-deconfined medium
Yichao Dang, Wen-Jing Xing, Shanshan Cao +1
The general intuition that heavier partons suffer weaker energy loss inside a quark-gluon plasma (QGP) medium is critically re-examined. Within a linear Boltzmann transport model t…
Hyperon polarization and its relation with directed flow in high-energy nuclear collisions
Ze-Fang Jiang, Xiang-Yu Wu, Shanshan Cao +1
We investigate the hyperon polarization and its relation with the directed flow of the quark-gluon plasma (QGP) in non-central Au+Au collisions at GeV…
Linear Boltzmann transport for jet propagation in the quark-gluon plasma: Inelastic processes and jet modification
Tan Luo, Yayun He, Shanshan Cao +1
A Linear Boltzmann Transport (LBT) Monte Carlo model has been developed to describe jet propagation and interaction with the quark-gluon plasma (QGP) in relativistic heavy-ion coll…