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Published: 2021-06-30
Abstract Views: 156
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DOI: https://doi.org/10.53747/nst.v11i2.355
Issue
Vol. 11 No. 2 (2021)
Section
Articles
How to Cite
Le , X. C., Vi , H. P., Le , T. A., Nguyen , D. T., Nguyen , H. P., & Bui , D. L. (2021). Applying machine learning method in neutrons and gamma-rays identification according to their pulse shapes. Nuclear Science and Technology, 11(2), 1-8. https://doi.org/10.53747/nst.v11i2.355

Applying machine learning method in neutrons and gamma-rays identification according to their pulse shapes

Le Xuan Chung1, Vi Ho Phong2, Le Tuan Anh1, Nguyen Duc Ton1, Nguyen Hoang Phuc1, Bui Duy Linh1
1 Institute for Nuclear Science and Technology
2 Hanoi University of Science

Main Article Content

Abstract

Neutrons and gamma-rays from a 152Cf source have been measured and separated based on the time of flight (TOF) technique. Their pulse shape characteristics measured by EJ-299-33 scintillator were used to train an artificial neural network (ANN) in a machine learning method. Afterward, the ANN was used to predict another set of pulse shape data to identify neutron and gamma-ray events. Comparing to the charge-comparison method, the ANN gave better identification. This result proves a potential application of machine learning method in the nuclear data analysis.

Article Details

Keywords

ANN, machine learning, neutrons, gamma-rays, time of flight

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