Masen Bachleda

A machine learning-based approach to this problem that converts list-mode gamma-ray data into two-dimensional waterfall spectrograms and applies computer vision architectures to the resulting images, enabling neural networks to more effectively learn patterns that distinguish source signatures from background fluctuations.