We are applying deep learning to extract useful features from noisy time-series data from the LIGO detector to augment the Coherent Wave Burst pipeline for detecting unmodeled gravitational wave signals from Supernovae with machine learning (genetic algorithms).
Project Members: Daniel George, Eliu Huerta
Collaborators: Kai Staats