| Issue |
Europhysics News
Volume 53, Number 2, 2022
Machine learning in physics
|
|
|---|---|---|
| Page(s) | 26 - 29 | |
| Section | Features | |
| DOI | https://doi.org/10.1051/epn/2022206 | |
| Published online | 27 April 2022 | |
Machine learning techniques deep underwater in km3net
1
Istituto Nazionale di Fisica Nucleare, Bari, Italy
2
FAU/ECAP, Erlangen, Germany
Deep in the water of the Mediterranean Sea, the KM3NeT detectors aim at the exploration of the cosmos through the detection of neutrinos and to determine the neutrino mass ordering. Machine learning techniques are widely used to push the performance of the detectors to the limit.
© European Physical Society, EDP Sciences, 2022
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