CORDIS Project
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This project aims to enhance neutrino detection capabilities at the IceCube Neutrino Observatory using graph convolutional neural networks. The goal is to improve the speed and accuracy of neutrino interaction reconstruction, which is crucial for advancing our understanding of neutrino properties.
While it is currently undergoing rapid developments, the neutrino sector still has many open questions: the neutrino masshierarchy is not known, several parameters of the PMNS matrix are poorly constrained, and the inability to explain the nonzero neutrino masses is a clear indication of physics beyond the Standard Model.
Neutrino oscillation experiments at theIceCube Neutrino Observatory may be able to address these fundamental questions, but the reconstruction of neutrinointeractions in the de…
KOBENHAVNS UNIVERSITET
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