IceCube Neutrino Observatory

The IceCube Neutrino Observatory is a cubic-kilometer detector embedded in Antarctic ice, designed to detect high-energy neutrinos from astrophysical sources. Current research focuses on improving event reconstruction and classification using advanced machine learning techniques, such as deep learning (including convolutional neural networks and variational autoencoders), and graph neural networks, to enhance the accuracy and efficiency of neutrino identification and energy/direction estimations, particularly at lower energies. These improvements are crucial for furthering our understanding of neutrino oscillations, identifying the sources of high-energy cosmic rays, and potentially detecting transient astrophysical events.