Speaker
Finn Mayhew
Description
The IceCube Neutrino Observatory is a Cherenkov detector located at the South Pole, instrumented in a cubic kilometer of ice. The DeepCore subdetector, at the lower center of the IceCube array, has a denser configuration and has allowed us to see GeV-scale neutrinos, which improves the sensitivity to atmospheric neutrino oscillations. Precious reconstruction is critical to neutrino oscillation parameter measurements. This study employs convolutional neural networks (CNNs) to reconstruct neutrino interactions in the DeepCore detector. This talk discusses the result of the atmospheric muon neutrino disappearance analysis using the CNN-reconstructed neutrino sample and compares it to the existing worldwide measurements.
| Submitted on behalf of a Collaboration? | Yes |
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Primary authors
Finn Mayhew
Dr
Shiqi Yu
(Michigan State University)
