Neutron-gamma discrimination method based on blind source separation and machine learning

• 作 者: Hanan Arahmane El-Mehdi Hamzao
• 机 构: Universite´,Paris-Saclay,EquipedesSciencesdelaMatie`reetduRayonnement（ESMaR）,NationalCentreforNu
• 出 处: 核技术:英文版
• 发表日期: 2021年2期
• 关键词: Blind source separation Nonnegative tensor factorization(NTF) Support vector mac
• 基金项目: L’Ore´al-UNESCO for the Women in Science Maghreb Program Grant Agreement No.4500410340.

The discrimination of neutrons from gamma rays in a mixed radiation field is crucial in neutron detection tasks.Several approaches have been proposed to enhance the performance and accuracy of neutron-gamma discrimination.However,their performances are of