Inpainting to search for premerger massive black hole binaries in realistic LISA datasets
The authors compare a zero-latency filter search with an 'inpainting' technique to find massive black hole binaries before they merge in LISA data. They tested these methods on a simulated dataset, showing that the inpainting method successfully recovers premerger signals even when significant data gaps exist. This suggests inpainting is a more robust way to identify mergers early.