TY  - JOUR
AU  - Babiano-Suarez, V. et al
AU  - Lerendegui-Marco, J.
AU  - Balibrea-Correa, J.
AU  - Caballero, L.
AU  - Calvo, D.
AU  - Ladarescu, I.
AU  - Real, D.
AU  - Domingo-Pardo, C.
PY  - 2021
DA  - 2021//
TI  - Imaging neutron capture cross sections: i-TED proof-of-concept and future prospects based on Machine-Learning techniques
T2  - Eur. Phys. J. A
JO  - European Physical Journal A
SP  - 197 - 17pp
VL  - 57
IS  - 6
AB  - 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.
SN  - 1434-6001
UR  - https://arxiv.org/abs/2012.10374
UR  - https://doi.org/10.1140/epja/s10050-021-00507-7
DO  - 10.1140/epja/s10050-021-00507-7
N1  - WOS:000662881100001
ID  - Babiano-Suarez_etal2021
ER  -