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A study on fast digital discrimination of neutron and gamma-ray for improvement neutron emission profile measurementa)
11. K. Ishii, K. Shinohara, M. Ishikawa, M. Baba, M. Isobe, A. Okamoto, S. Kitajima, and M. Sasao, Rev. Sci. Instrum. 81, 10D334 (2010).
12. C. M. Bishop et al., Pattern Recognition and Machine Learning (Springer-Verlag, New York, 2006).
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Neutron and γ-ray (n-γ) discrimination with a digital signal processing system has been used to measure the neutron emission profile in magnetic confinement fusion devices. However, a sampling rate must be set low to extend the measurement time because the memory storage is limited. Time jitter decreases a discrimination quality due to a low sampling rate. As described in this paper, a new charge comparison method was developed. Furthermore, automatic n-γ discrimination method was examined using a probabilistic approach. Analysis results were investigated using the figure of merit. Results show that the discrimination quality was improved. Automatic discrimination was applied using the EM algorithm and k-means algorithm.
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