Neutrino Telescope

Neutrino telescopes are massive detectors designed to detect neutrinos from astrophysical sources, aiming to unravel the mysteries of high-energy cosmic phenomena. Current research heavily emphasizes the use of advanced machine learning techniques, particularly graph neural networks and convolutional neural networks, to improve the reconstruction of neutrino events from the sparse and noisy data collected by these detectors. These improvements in reconstruction accuracy and speed are crucial for enhancing the sensitivity of neutrino telescopes to detect rare events and precisely determine the properties of their sources, significantly advancing our understanding of particle physics and astrophysics.