Thermal Neutron Tomography for Cultural Heritage at INR

Dinca, M.; Mandescu, Dragos

doi:10.1016/j.phpro.2015.07.091

Cited by 3 publications

(1 citation statement)

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“…Imaging techniques have become widespread and much useful in various fields of study, allowing for non-destructive investigation of different samples, especially in material science [1] and cultural heritage [2,3] studies. In this context, both X-rays and neutrons are employed, giving complementary information about the observed objects.…”

Section: Introductionmentioning

confidence: 99%

Development of a Triple-GEM detector with strip readout and GEMINI chip for X rays and neutron imaging

Caruggi,

Celora,

Cancelli

et al. 2024

J. Inst.

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Thermal neutron imaging can be a useful tool in the study of the internal structure of an object. The different attenuation properties of the materials with respect to X rays give rise to different interactions and the result is a complementary non-destructive analysis, which can provide important additional information. This technique has been successfully employed in different areas of work, especially in material science and cultural heritage studies. This paper describes the development of a new detection system and its characterization performed with X ray emissions. The system features the use of a gaseous detector, based on the Gas Electron Multiplier technology, and a fully digital electronic readout, with a combination of custom-made ASICs (called GEMINI) and FPGA boards, enabling fast single photon counting. The detector can be thus used directly for X ray imaging, while the addition of a suitable converter in its active volume will allow for detection of neutrons and for reconstruction of their tracks. The readout system is based on a x-y strip structure and features the reconstruction of single events through the center of mass methodology, allowing for accurate tomography, with sub-mm spatial resolution, in combination with sub-ms time resolution and high rate capabilities (up to MHz/mm2).

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Section: Introductionmentioning

confidence: 99%