4 papers
Improving Muon-Scattering Material Identification via Coarse Momentum Encoding and Unsupervised Domain Adaptation
Yuxin Bao, Zhao Zhang, Pei Yu +7
Cosmic-ray muon scattering has shown considerable potential for detecting nuclear materials and other dense contraband, but practical deployment remains challenging. A major diffic…
Permutation invariant multi-scale full quantum neural network wavefunction
Pengzhen Cai, Yubing Qian, Li Deng +8
Solving the intricate quantum behavior of interacting particles is key to unlocking the mysteries of condensed matter, but capturing their complex correlations across different sca…
Improving Muon Scattering Tomography Performance With A Muon Momentum Measurement Scheme
Pei Yu, Ziwen Pan, Jiajia Zhai +10
Muon imaging, especially muon scattering tomography (MST), has recently garnered significant attention. MST measures the magnitude of muon scattering angles inside an object, which…
Transfer learning empowers material Z classification with muon tomography
Haochen Wang, Zhao Zhang, Pei Yu +12
Cosmic-ray muon sources exhibit distinct scattering angle distributions when interacting with materials of different atomic numbers (Z values), facilitating the identification of v…