| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01123 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701123 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701123
Storage of nuclear waste suitable for non-invasive monitoring using muon scattering tomography
1 Department of Physics School of Basic and Applied Sciences Adamas University Kolkata India
2 Centre for Neutrino Physics Virginia Polytechnic Institute & State University VA United States
3 Applied Nuclear Physics Division Saha Institute of Nuclear Physics Kolkata a CI of Homi Bhaba National Institute India
4 University of California Davis United States
5 Research Wing, Naihati Prolife, Naihati, WB, India
* e-mail: purba1.bhattacharya@adamasuniversity.ac.in
Published online: 7 October 2025
Over the past few decades, research in a form of Non-Destructive Evaluation (NDE), muon tomography, also known as muography, has gained significant attention. In this study, GEANT4 simulations have been used to evaluate the performance of various position-sensitive particle detectors for muography. Detectors with position resolutions ranging from 0 µm (ideal one) to 1000 µm were tested, focusing on developing an imaging algorithm to monitor nuclear waste drums. Additionally, the shape of materials inside nuclear waste drums was analyzed using a Pattern Recognition Method (PRM). The study highlights the importance of storage geometry, track reconstruction and machine-learning algorithms.
© The Authors, published by EDP Sciences, 2025
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