Collimator-Less Passive Gamma Scanning for Radioactive Waste Drums
| Autor: | Eliezer Marcus, Alon Osovizky, Eran Vax, T. Mazor, Yagil Kadmon |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Nuclear and High Energy Physics
010308 nuclear & particles physics Computer science Detector Collimator Maximization Drum 01 natural sciences law.invention Nuclear Energy and Engineering law 0103 physical sciences Hyperparameter optimization Calibration Electrical and Electronic Engineering Projection (set theory) Algorithm Digital filter |
| Zdroj: | IEEE Transactions on Nuclear Science. 67:544-551 |
| ISSN: | 1558-1578 0018-9499 |
| DOI: | 10.1109/tns.2020.2975239 |
| Popis: | In this article, a new method to quantify the activity of spatially distributed gamma-emitting isotopes (hotspots) in homogenous content waste drums without the use of a collimator is presented. The method utilizes a spatial digital filter derived using maximum likelihood (ML) to determine multiple sources’ positions and then calculate their activities. To solve the multidimensional maximization problem, we use an alternating projection (AP) technique, which transforms the problem into a considerably simpler 1-D maximization problem. A dynamic grid search was developed to further decrease the computational load. The mathematical simulations demonstrate the improved accuracy when compared to that of industrial segmented gamma scanning (SGS) systems and the same accuracy as that of newer methods. Furthermore, the new method offers the benefit of replacing the heavy mechanical collimator with a “virtual collimator” formed by digital filters and an advanced algorithm to create a “digital virtual scan” of drum volume to locate hotspots. |
| Databáze: | OpenAIRE |
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