Rapid search for massive black hole binary coalescences using deep learning

Understand

The coalescences of massive black hole binaries are one of the main targets of space-based gravitational wave observatories.

• Such gravitational wave sources are expected to be accompanied by electromagnetic emissions.
• Low latency detection of the massive black hole mergers provides a start point for a global-fit analysis to explore the large parameter space of signals simultaneously being present in the data but at great computational cost.
• To alleviate this issue, we present a deep learning method for rapidly searching for signals of massive black hole binaries in gravitational wave data.