High-energy collision experiments reveal insights into the hadronic interactions, yet understanding hyperon-nucleon interactions remains limited. Here, the authors employ deep neural networks within an automatic differentiation framework to reconstruct proton-emitting sources, achieving improved accuracy and extracting hyperon-nucleon correlations.
- Lingxiao Wang
- Jiaxing Zhao
