Gamma Ray

Gamma-ray research focuses on detecting and analyzing high-energy photons, primarily to understand astrophysical phenomena and improve particle detection technologies. Current research heavily utilizes deep learning, employing convolutional neural networks (CNNs) and other architectures like transformers and variational autoencoders, to analyze data from various detectors such as Imaging Atmospheric Cherenkov Telescopes (IACTs) and space-based gamma-ray monitors. These advanced computational methods improve the accuracy and efficiency of gamma-ray event classification, energy reconstruction, and source identification, leading to a deeper understanding of the universe and advancements in medical imaging.