A new algorithm of muon scattering tomography based on Multi-Wire Drift Chamber system

摘要: Cosmic ray muons, characterized by their high energy and penetrative capabilities, provide significant advantages for non-destructive imaging applications, including security inspection, geological exploration, and archaeology. As the muon tomography continues to advance, there is growing demand for precise and efficient muon imaging algorithms. The quality of muon scattering imaging depends on the accuracy of the muon trajectory reconstruction. This paper proposes a neural network-based method utilizing Multi-Wire Drift Chambers (MWDCs), achieving a spatial resolution of 351 $\mu m$. Additionally, to address challenges of imaging accuracy and track utilization efficiency, an improved method based on the PoCA (Point-of-Closest Approach) algorithm is introduced. This enhancement significantly improves imaging resolution and reconstruction performance, offering a more solution for muon-based imaging solutions.