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....

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Bibliographic Details
Published in:EPJ Web of conferences Vol. 337; p. 1123
Main Authors: Mukherjee, Indira, Pallav, Piyush, Roy, Promita, Das, Subhendu, Tripathy, Shridhar, Bhattacharya, Purba, Majumdar, Nayana, Mukhopadhyay, Supratik
Format: Journal Article Conference Proceeding
Language:English
Published: Les Ulis EDP Sciences 01.01.2025
Subjects:
Algorithms
Image reconstruction
Machine learning
Muons
Nondestructive testing
Pattern analysis
Pattern recognition
Performance evaluation
Position sensing
Radiation counters
Radioactive wastes
Tomography
ISSN:2100-014X, 2101-6275, 2100-014X
Online Access:Get full text
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Summary: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.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/202533701123