Speaker
Description
Constraining the ratio of flavors of astrophysical neutrinos at Earth informs neutrino production and oscillation scenarios. The IceCube Neutrino Observatory measures the neutrino flux by recording the Cherenkov light deposited by neutrino secondaries with around five thousand PMTs distributed within a cubic kilometer of ice at the South Pole. Tau neutrinos are difficult to distinguish from electron neutrinos due to the similar patterns of light deposited following their charged current interactions. With IceCube's detector configuration the similarity is strongest below around 100 TeV, and in this regime it becomes essential to leverage individual-PMT timing information. I will report on the development of a transformer neural network trained on electron neutrino and tau neutrino Monte Carlo that aims to distinguish the signatures of the two flavors on the TeV scale in IceCube data.
