81 citations · 155 across the 16 of their papers we have counts for
5 papers · 1 filter
Neural Unfolding of the Chiral Magnetic Effect in Heavy-Ion Collisions
Shuang Guo, Lingxiao Wang, Kai Zhou +1
The search for the chiral magnetic effect (CME) in relativistic heavy-ion collisions (HICs) is challenged by significant background contamination. We present a novel deep learning…
Towards constraining QCD phase transitions in neutron star interiors: Bayesian Inference with TOV linear response analysis
Ronghao Li, Sophia Han, Zidu Lin +3
The potential hadron-to-quark phase transition in neutron stars has not been fully understood as the property of cold, dense, and strongly interacting matter cannot be theoreticall…
Deep learning stochastic processes with QCD phase transition
Lijia Jiang, Lingxiao Wang, Kai Zhou
It is non-trivial to recognize phase transitions and track dynamics inside a stochastic process because of its intrinsic stochasticity. In this paper, we employ the deep learning m…
Chiral vortices and pseudoscalar condensation due to rotation
Lingxiao Wang, Yin Jiang, Lianyi He +1
We investigate the influence of rotation on the dynamical chiral symmetry breaking in strongly interacting matter. We develop a self-consistent Bogoliubov-de Gennes-like theoretica…
Local suppression and enhancement of pairing condensate under rotation
Lingxiao Wang, Yin Jiang, Lianyi He +1
The rotation induced inhomogeneous problem is non-trivial and inevitable. In this paper a generic framework is developed to investigate the inhomogeneous condensate in a system of…