Introduction of educational and research program at Department of Nuclear Physics, VNUHCM/Machine Learning for Low-Energy Neutron/Gamma Discrimination
Tran Thien Thanh
(University of Science – Vietnam National University – Ho Chi Minh, Vietnam)
Introduction of educational and research program at Department of Nuclear Physics, University of Science – VNUHCM
In this report, we present the managerial structure of Vietnam National University – Ho Chi Minh City, University of Science, Faculty of Physics – Engineering Physics, and Department of Nuclear Physics. We provide a description of the educational programs, facilities, and international cooperations. In addition, report on current research directions being implemented at the department as well as plans for future research implementation.
Vo Hong Hai
(University of Science – Vietnam National University – Ho Chi Minh, Vietnam)
Machine Learning for Low-Energy Neutron/Gamma Discrimination in Plastic Scintillators and FPGA-Based Nuclear Electronics for Small-Scale Radiation Detection Systems
Neutron/gamma discrimination in organic scintillation detectors remains a challenging problem, particularly in the low-energy region, where conventional pulse shape discrimination (PSD) techniques suffer from significant performance degradation. We present the application of machine learning approaches to enhance discrimination capability, focusing on waveform-based analysis. The results demonstrate that data-driven models can effectively extract subtle features from detector signals, leading to improved separation performance and enhanced robustness in energy regions where traditional methods, such as the tail-to-total charge integration method, become less effective.