Neutrino Detector

Neutrino detectors are large-scale instruments designed to detect elusive neutrinos, providing insights into fundamental physics and astrophysical phenomena. Current research focuses on improving event reconstruction and classification accuracy using advanced machine learning techniques, such as neural networks (including convolutional and transformer architectures), variational autoencoders, and normalizing flows, to better distinguish neutrino signals from background noise in diverse detector types (e.g., liquid scintillator, radio-based, and ice-based). These improvements are crucial for enhancing the sensitivity and precision of neutrino experiments, leading to a more complete understanding of neutrino properties and their role in the universe.