Proceedings of International Conference on Applied Innovation in IT  ·  2026/04/22  ·  Vol. 14  ·  Issue 2  ·  pp. 487–494
High-Fidelity Monte Carlo Simulation of Gamma-Ray Shielding Efficiency for Nuclear Security Applications Using Geant4 Toolset
Yurii Zabulonov, Tetiana Nosenko, Vitalina Lulianova and Yevheniia Anpilova
The development of AI-driven radiation detection systems is hindered by the lack of high-fidelity data representing complex shielding scenarios. Most existing datasets rely on simplified exponential attenuation models, ignoring stochastic scattering effects. This study challenges this approach by presenting a Geant4-based high-fidelity simulation of gamma-ray transport for Special Nuclear Materials (239Pu). While high-Z shielding (Lead) demonstrated predictable exponential attenuation (μ-validation error < 1.2%), our results reveal a critical anomaly in low-Z shielding (Polyethylene). We observed a significant non-monotonic "buildup effect" where the detected photon intensity increases by
Monte Carlo Simulation Geant4 Radiation Shielding Buildup Factor Nuclear Security Special Nuclear Materials.
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ICAIIT 2026
International Conference on Applied Innovation in IT
Bringing together researchers, engineers and practitioners to share advances in applied information technology.
Submission deadline
September 29, 2026
Paper acceptance
November 2, 2026
Journal publication
November 30, 2026
Next conference
March 11, 2027 · Köthen, Germany
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