4 papers
Understanding Energy Dependent Hadronic Calorimeter Response from a Machine Learning Perspective
Shuai-Chun Wang, Huang-Ran Shen, Wan-Bing He +4
To meet the precision requirements of future high-energy physics experiments, improving the energy resolution of hadronic calorimeters remains a critical challenge. This work prese…
Neural-network excited states of nuclei and hypernuclei
Zi-Xiao Zhang, Yi-Long Yang, Xiao-Lu Qian +4
We present the first variational Monte Carlo study of nuclear and hypernuclear excited states within the neural-network quantum states (NQS) framework. We implement both the overla…
Two-body cluster entangled structure in the Hilbert space
Fei-Long Xu, Xi-Guang Cao, Yu-Gang Ma
This study introduces a quantum information perspective to analyze the internal structure of atomic nuclei, focusing on the quantum entanglement between clusters in the 0 s…
Determination of responses of liquid xenon to low energy electron and nuclear recoils using the PandaX-II detector
Binbin Yan, Abdusalam Abdukerim, Wei Chen +63
We report a systematic determination of the responses of PandaX-II, a dual phase xenon time projection chamber detector, to low energy recoils. The electron recoil (ER) and nuclear…