Decoding cosmic signals with deep learning and Keras

Deep learning is transforming astroparticle physics, where giant observatories detect rare cosmic particles through indirect measurements of massive particle showers. Researchers at the Pierre Auger Observatory built a Keras-based neural network combining shared LSTMs and hexagonal convolutions to reconstruct cosmic-ray properties with far greater precision than traditional methods.