Description
- This research aims to model a landmine detection system using Prompt
Gamma Neutron Activation Analysis (PGNAA), which identifies
explosives by detecting gamma emissions from key elements such as
hydrogen, carbon, nitrogen, and oxygen. - Gamma signature peaks from these four elements were used to validate
the model. - The presence of hydrogen, carbon, and nitrogen peaks can be used to
confirm the existence of explosive landmines, enhancing the
reliability and flexibility of our system compared to previous
systems that rely solely on the nitrogen peak. - The simulation focused on optimizing moderator and shielding
parameters and evaluating the system's detection capabilities.
Performance analysis was conducted by varying factors such as sample
composition, casing type, burial depth, and soil type. - The results confirmed the system’s ability to detect explosives even
when encased in plastic or metallic casings and buried in soil.
| Technical Track | Student Competition |
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Primary authors
Doha Ayman
(Nuclear and Radiation department, Alexandria University)
Nour Wahban
(Nuclear and Radiation department, Alexandria University)
Ms
Reem Amir
(Nuclear and Radiation engineering department, Alexandria university)
