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Cosmic ray muon tomography is a developing method based on scattering theory which can be applied in nuclear material discrimination because of its sensitivity to high Z material in recent years[1]. Various muon tomography systems with different kinds of detectors have been set up, such as drift tube [2], Gem [3], RPC [4]/MRPC [5], scintillator strip [6] and drift chamber [7]. Because of the importance...
Muon tomography (MT) is an effective technology that is being developed to non-destructively detect high-Z materials. Because of the statistical randomness of scattering information and the data incompleteness, the widely used Maximum Likelihood (ML) estimation is often instable and accompanied with certain level of noise. In this paper, we propose a Maximum a Posteriori (MAP) algorithm with an edge-preserving...
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...
This paper presents an asynchronous method for localizing multiple odor sources one by one. We use adapted ant colony optimization algorithm and flux divergence based idea for plume tracing and source declaration, respectively. By selective olfaction, we mean that the concentration sensors are halted when the robots are searching in the declared areas. Thus, the robots can successfully jump out of...
Cosmic-ray muon tomography based on multiple coulomb scattering is typically applied in detecting high-Z materials. The energy of muon also plays an important role in the distribution of the scattering angles, and the information of muon energy would be useful for the image reconstruction. In this paper, a simulation experiment has been conducted to check the feasibility of TOF method applied in measuring...
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