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Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques

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i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in (n,gamma) cross-section measurements using time-of-flight technique. This work presents the first experimental validation of the i-TED apparatus for high-resolution time-of-flight experiments and demonstrates for the first time the concept proposed for background rejection. To this aim, the 197Au(n,gamma) and 56Fe(n,gamma) reactions were studied at CERN n_TOF using an i-TED demonstrator based on three position-sensitive detectors. Two C6D6 detectors were also used to benchmark the performance of i-TED. The i-TED prototype built for this study shows a factor of ~3 higher detection sensitivity than state-of-the-art C6D6 detectors in the 10 keV neutron-energy region of astrophysical interest. This paper explores also the perspectives of further enhancement in performance attainable with the final i-TED array consisting of twenty position-sensitive detectors and new analysis methodologies based on Machine-Learning techniques.
2021-11-04
SPRINGER
JRC126393
1434-6001 (online),   
https://link.springer.com/article/10.1140%2Fepja%2Fs10050-021-00507-7,    https://publications.jrc.ec.europa.eu/repository/handle/JRC126393,   
10.1140/epja/s10050-021-00507-7 (online),   
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