37 citations · 99 across the 3 of their papers we have counts for
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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 () cross-section measurements using time-…
physics.ins-det2019★ 37 cited
Dependence of atmospheric muon flux on seawater depth measured with the first KM3NeT detection units
KM3NeT Collaboration, M. Ageron, S. Aiello +262
KM3NeT is a research infrastructure located in the Mediterranean Sea, that will consist of two deep-sea Cherenkov neutrino detectors. With one detector (ARCA), the KM3NeT Collabora…