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most citedComparison of Geometrical Layouts for Next-Generation Large-volume Cherenkov Neutrino Telescopes

2 citations · 3 across the 5 of their papers we have counts for

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hep-ex2023★ 1 cited

Two Watts is All You Need: Enabling In-Detector Real-Time Machine Learning for Neutrino Telescopes Via Edge Computing

Miaochen Jin, Yushi Hu, Carlos A. Argüelles

The use of machine learning techniques has significantly increased the physics discovery potential of neutrino telescopes. In the upcoming years, we are expecting upgrade of curren…