23 citations · 24 across the 13 of their papers we have counts for
4 papers · 1 filter
Neural network maximum entropy framework for distribution reconstruction in heavy-ion collisions
Qian-Ru Lin, Fu-Peng Li, YiGe Huang +1
We develop a neural-network maximum-entropy (NN+MaxEnt) framework for reconstructing probability distributions from limited observables in heavy-ion collisions. The method combines…
Bayesian inference of event-by-event collision geometry from charged-particle multiplicity in heavy-ion collisions
Yige Huang, Fu-Peng Li, Hanwen Feng +1
We propose the Inference-driven Participant Determination (IPD) method, a Bayesian framework for inferring event-by-event posterior distributions of the number of participants ($N_…
Four-dimensional QCD equation of state from a quasi-parton model with physics-informed neural networks
Fu-Peng Li, Long-Gang Pang, Guang-You Qin
The equation of state (EoS) of strongly interacting matter at finite temperature and chemical potentials (baryon, charge, and strangeness) is a crucial input for hydrodynamic simul…
Nuclear equation of state at finite using deep learning assisted quasi-parton model
Fu-Peng Li, Long-Gang Pang, Guang-You Qin
To accurately determine the nuclear equation of state (EoS) at finite baryon chemical potential () remains a challenging yet essential goal in the study of QCD matter under ex…