Machine learning algorithm for localization of nuclear materials based on gamma probe data to verify the denuclearization
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy
Link
https://link.springer.com/content/pdf/10.1007/s40042-023-00959-8.pdf
Reference17 articles.
1. D.Y. Kim et al., Preparation and consideration of sample collection in undeclared areas for denuclearization verification. J. Nucl. Fuel Cycle Waste Technol. 19(4), 479–489 (2021). https://doi.org/10.7733/jnfcwt.2021.040
2. G. Kim, J. Lee, S. Jeong, M. Kim, Development of a CsI (Tl) scintillator based gamma probe for the identification of nuclear materials in unknown areas. J. Instrum. 17(03), P03005 (2022). https://doi.org/10.1088/1748-0221/17/03/p03005
3. T. Goorley et al., T. Zukaitis, Initial MCNP6 release overview-MCNP6 version 1.0 (No. LA-UR-13–22934), Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2013.
4. M.K. Sharma et al., Three-dimensional localization of low activity gamma-ray sources in real-time scenarios. Nucl. Instrum. Meth. A 813, 132–138 (2016). https://doi.org/10.1016/j.nima.2016.01.001
5. J. Cook, R.C. Smith, C. Ramirez, N.S.V. Rao, Particle filtering convergence results for radiation source detection, arXiv preprint arXiv:2004.08953 (2020). https://doi.org/10.48550/arXiv.2004.08953
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