EPJ Web Conf.
Volume 170, 2018ANIMMA 2017 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
|Number of page(s)||5|
|Section||Nuclear fuel cycle|
|Published online||10 January 2018|
Simulated Performances of a Very High Energy Tomograph for Non-Destructive Characterization of large objects
CEA Cadarache, DEN/Nuclear Measurement Laboratory, F-13108 Saint-Paul-lez-Durance, France.
CNRS, IN2P3/Subatomic Physics and Cosmology Laboratory, F-38026 Grenoble, France.
Published online: 10 January 2018
As part of its R&D activities on high-energy X-ray imaging for non-destructive characterization, the Nuclear Measurement Laboratory has started an upgrade of its imaging system currently implemented at the CEA-Cadarache center. The goals are to achieve a sub-millimeter spatial resolution and the ability to perform tomographies on very large objects (more than 100-cm standard concrete or 40-cm steel). This paper presentsresults on the detection part of the imaging system.
The upgrade of the detection part needs a thorough study of the performance of two detectors: a series of CdTe semiconductor sensors and two arrays of segmented CdWO4 scintillators with different pixel sizes. This study consists in a Quantum Accounting Diagram (QAD) analysis coupled with Monte-Carlo simulations. The scintillator arrays are able to detect millimeter details through 140 cm of concrete, but are limited to 120 cm for smaller ones. CdTe sensors have lower but more stable performance, with a 0.5 mm resolution for 90 cm of concrete. The choice of the detector then depends on the preferred characteristic: the spatial resolution or the use on large volumes. The combination of the features of the source and the studies on the detectors gives the expected performance of the whole equipment, in terms of signal-over-noise ratio (SNR), spatial resolution and acquisition time.
Key words: CdTe / CdWO4 / detective quantum efficiency (DQE) / high-energy imaging / quantum accounting diagram (QAD) / signal-over-noise ratio (SNR) / tomography
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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