Storage of nuclear waste suitable for non-invasive monitoring using muon scattering tomography
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.
Authors
- P. Bhattacharya (ORCID: https://orcid.org/0000-0003-0287-365X)
- Sridhar Tripathy (ORCID: https://orcid.org/0000-0002-2577-0250)
- Subhendu Das (ORCID: https://orcid.org/0000-0003-4851-1910)
- I. Mukherjee
- Promita Roy (ORCID: https://orcid.org/0000-0001-6495-8937)
- Supratik Mukhopadhyay (ORCID: https://orcid.org/0000-0001-7733-228X)
- Piyush Pallav
- Nayana Majumdar (ORCID: https://orcid.org/0000-0002-4178-3000)
Institutions
- Saha Institute of Nuclear Physics (IN)
- Aryabhatta Research Institute of Observational Sciences (IN)
- Adamas University (IN)
- University of California, Davis (US)
- Virginia Tech (US)
Publication Details
- Journal
- EPJ Web of Conferences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/epjconf/202533701123
- Primary Topic
- Particle Detector Development and Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Engineering Research Board