| Issue |
EPJ Web Conf.
Volume 288, 2023
ANIMMA 2023 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
|
|
|---|---|---|
| Article Number | 06007 | |
| Number of page(s) | 6 | |
| Section | Nuclear Safeguards, Homeland Security and CBRN | |
| DOI | https://doi.org/10.1051/epjconf/202328806007 | |
| Published online | 21 November 2023 | |
https://doi.org/10.1051/epjconf/202328806007
Hot-spots finding with modular gamma-ray system for sort and segregate activities
1 INFN Laboratori Nazionali del Sud, 95123 Catania, Italy
2 INFN Sezione di Catania, 95123 Catania, Italy
Published online: 21 November 2023
In the framework of the PI3SO project (Proximity Imaging System for Sort and Segregate Operations) funded by INFN-Energy project, aimed at the low and intermediate level radioactive waste (radwaste) classification, conditioning and characterization, a scanning system based on a set of 128 gamma-ray detectors based on CsI(Tl) crystal scintillators readout by a silicon photomultiplier have been built and characterized. These are arranged in linear arrays grouped in modules, each one being made of sixteen detection elements compose a sensitive unit, named module, and eight modules define the full-scintillators scanning system. The combination of four modules, arranged in a linear configuration, defines a sliding linear array named detection unit. Placed one above a scanning table and the other parallel to it underneath the table, the two co-moving detection units detect gamma-rays from sparse objects on table improving the detection of partially gamma sources and they will identify the hot-spot. The described modules are suitable for the sorting of nuclear materials and can be used as scanner of radioactive objects placed on a large area surface. Each unit was tested with point-like laboratory gamma-ray 137Cs and 22Na source: the results are promising in view of the integration with the mechanical system which will move the detection units scanning the radwaste. Next step are planned tests in a real environment.
Key words: radwaste / hot-spot / sort and segregate / SiPM / CsI / gamma-ray scanner
© The Authors, published by EDP Sciences, 2023
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