Bayesian-theory-based most probable trajectory reconstruction algorithm in cosmic ray muon tomography

Cosmic ray muon tomography aims to probe the high-Z materials and image them employing several image reconstruction algorithms. Based on multiple Coulomb scattering and Bayesian theory, the most probable trajectory (MPT) of muon in the materials can be analytically extracted with the known incident and scattering trajectories. A modified algorithm based on this more realistic MPT has been developed. The encouraging results of this image reconstruction algorithm are smoother and better contrast than the ones of the original PoCA algorithm. It is practical to take the advantages of the MPT in the image reconstruction algorithm, and the MPT has the potential applications in other algorithms like MLSD.