• Corpus ID: 119084179

Muon Tomography imaging improvement using optimized scattering tracks data based on Maximum Likelihood Method

@article{Wang2018MuonTI,
  title={Muon Tomography imaging improvement using optimized scattering tracks data based on Maximum Likelihood Method},
  author={Xiao-Dong Wang and Kaiming Ye and Yi Wang and Yu-Lei Li and X. Wei and Lingxin Luo and Guoqiang Chen},
  journal={arXiv: Instrumentation and Detectors},
  year={2018}
}
Point of colsest Approche algorithm (PoCA) based on the formalism of muon radiogra- phy using Multiple Coulomb scattering (MCS) as information source is previously used to obtain the reconstruction image of high Z material. The low accuracy of reconstruction image is caused by two factors: the flux of natural muon and the assumption of single scattering in PoCA algo- rithm. In this paper, the maximum likelihood method based on the characteristics of Gaussian-like distribution of muon tracks by… 

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