V. Babiano-Suárez

activity

20202026

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

33 citations · 87 across the 7 of their papers we have counts for

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physics.ins-det2024★ 2 cited

Imaging neutrons with a position-sensitive monolithic CLYC detector

J. Lerendegui-Marco, G. Cisterna, J. Hallam +9

In this work, we have developed and characterized a position-sensitive CLYC detector that acts as the neutron imaging layer and $γ$ -ray Compton scatterer of the novel dual \g-ray a…

physics.ins-det2020★ 33 cited

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

V. Babiano-Suárez, J. Lerendegui-Marco, J. Balibrea-Correa +132

i-TED is an innovative detection system which exploits Compton imaging techniques to achieve a superior signal-to-background ratio in ( $n, γ$ ) cross-section measurements using time-…