Muon Tomography Imaging Algorithms for Nuclear Threat Detection Inside Large Volume Containers with the Muon Portal Detector
Nuclear instruments and methods in physics research Section A, Accelerators, spectrometers, detectors and associated equipment/Nuclear instruments & methods in physics research Section A, Accelerators, spectrometers, detectors and associated equipment(2013)
摘要
Muon tomographic visualization techniques try to reconstruct a 3D image as close as possible to the real localization of the objects being probed. Statistical algorithms under test for the reconstruction of muon tomographic images in the Muon Portal Project are here discussed. Autocorrelation analysis and clustering algorithms have been employed within the context of methods based on the Point Of Closest Approach (POCA) reconstruction tool. An iterative method based on the log-likelihood approach was also implemented. Relative merits of all such methods are discussed, with reference to full Geant4 simulations of different scenarios, incorporating medium and high-Z objects inside a container.
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关键词
Muon tomography,Imaging algorithms,Clustering methods,Autocorrelation analysis,Maximum likelihood,EM algorithm
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