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

Autor: Xuan Chung Le, Ho Phong Vi, Tuan Anh Le, Duc Ton Nguyen, Hoang Phuc Nguyen, Duy Linh Bui
Rok vydání: 2021
Zdroj: Nuclear Science and Technology. 11:1-8
ISSN: 1810-5408
Popis: 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.
Databáze: OpenAIRE