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Experimental evaluation of the performance of a novel planar segmented HPGe detector for use in gamma emission tomography.

Authors :
Rathore, V.
Senis, L.
Håkansson, A.
Sundén, E.A.
Andersson, P.
Source :
Nuclear Instruments & Methods in Physics Research Section A. Apr2023, Vol. 1049, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

The use of segmented HPGe detectors for gamma-ray tracking applications is well established. The spectroscopic capabilities of these detectors make them most suitable for such applications. For similar reasons, the use of such detectors in the tomographic measurement of irradiated nuclear fuel has also been envisioned. Especially, these detectors can facilitate faster fuel examination with excellent energy resolution. We have proposed and designed a novel planar segmented HPGe detector for use in gamma emission tomography. The design of the detector segmentation and the mode of operation is unique and offers six simultaneous detection channels for tomographic measurements. This work reports the first experimental evaluation of the performance of the detector. Important characteristics of the detector have been obtained, such as energy resolution of the segments in 1-fold (one segment) and 2-fold (two segments) modes, throughput curves, crosstalk energy corrections, and mislocalisation rate. Collimated source tests have been performed and the results have been compared with the MCNP simulations results. The obtained results are as expected and in good agreement with the simulation results, and it is estimated that using this detector can speed up the data collection by 3.2 times in comparison to an unsegmented detector of the same overall dimensions, in a tomographic application. Further improvements are foreseeable if scaling up to a larger detector with greater segmentation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01689002
Volume :
1049
Database :
Academic Search Index
Journal :
Nuclear Instruments & Methods in Physics Research Section A
Publication Type :
Academic Journal
Accession number :
162132080
Full Text :
https://doi.org/10.1016/j.nima.2023.168073