5 papers
Schrödinger Generator for High-Dimensional Integration and Sampling on Quantum Many-Body States
Lin-Jing Jiang, Fu Ma, Pei Li +3
Integration and sampling in high dimensions are among central challenges in modern science and technology, underlying applications ranging from quantum many-body physics to Bayesia…
Ultra-Peripheral Collisions as a Nuclear-Structure Interferometer with Interpretable Multitask Deep Learning
Jing-Zong Zhang, Wang-Mei Zha, Lingxiao Wang +1
Precise knowledge of nuclear structure is essential across fundamental physics, yet probing these structures is notoriously difficult. To address this challenge, ultra-peripheral c…
Constraining the neutron skin of Pb with anisotropic flow in Pb+Pb collisions at the LHC
Xin-Li Zhao, Xin-Yi Xie, Yuan Li +1
We study neutron-skin effects of Pb in Pb+Pb collisions at ~TeV using the improved string-melting version of a multi-phase transport model by v…
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…
Latent Representation Learning in Heavy-Ion Collisions with MaskPoint Transformer
Jing-Zong Zhang, Shuang Guo, Li-Lin Zhu +2
A central challenge in high-energy nuclear physics is to extract informative features from the high-dimensional final-state data of heavy-ion collisions (HIC) in order to enable re…