%0 Journal Article
%T Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
%A Babiano-Suarez, V. et al
%A Lerendegui-Marco, J.
%A Balibrea-Correa, J.
%A Caballero, L.
%A Calvo, D.
%A Ladarescu, I.
%A Real, D.
%A Domingo-Pardo, C.
%J European Physical Journal A
%D 2021
%V 57
%N 6
%@ 1434-6001
%F Babiano-Suarez_etal2021
%O WOS:000662881100001
%O exported from refbase (https://references.ific.uv.es/refbase/show.php?record=4875), last updated on Sat, 10 Jul 2021 12:42:34 +0000
%X 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 Au-197(n, gamma) and Fe-56(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 similar to 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 newanalysis methodologies based on Machine-Learning techniques.
%R 10.1140/epja/s10050-021-00507-7
%U https://arxiv.org/abs/2012.10374
%U https://doi.org/10.1140/epja/s10050-021-00507-7
%P 197 - 17pp