• Corpus ID: 119084179

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

  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},
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… 



Performance expectations for a Tomography System using cosmic ray muons and micro pattern gas detectors for the detection of nuclear contraband

We present results from a detailed GEANT4 simulation of a proposed Muon Tomography System that employs compact Micro Pattern Gas Detectors with high spatial resolution. A basic

Toward a RPC-based muon tomography system for cargo containers.

A large area scanner for cosmic muon tomography is currently being developed at University of Bristol. Thanks to their abundance and penetrating power, cosmic muons have been suggested as ideal

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Review of Particle Physics

  • K. Olive
  • Physics, Environmental Science
    Physical review. D, Particles and fields
  • 1996
The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 3,283 new measurements from 899 papers, we list, evaluate, and average measured properties of

Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

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