PISCES: Physics-Informed Solar-wind Convolutional AutoEncoder for Space-weather Anomaly Detection and Early Warning
Geophysics
PISCES is a convolutional autoencoder trained without catalog labels on OMNI solar wind measurements under physics constraints, designed for detecting solar wind transients and providing space weather early warning at the Sun-Earth L1 point.
See LICENSE file Space weatherSolar windAnomaly detection