Transformer-based deep learning model achieving >10× noise reduction with ~1% phase error and ~7% amplitude error on LIGO data, demonstrating significant IFAR improvement on 75 BBH events. Featured work highlighting large neural networks' potential in GW analysis.
Sapce-borne gravitational wave antennas, such as LISA and LISA-like mission (Taiji and Tianqin), will offer novel perspectives for exploring our Universe while introduce new challenges, especially in data analysis. Aside from the known challenges …
Gravitational wave (GW) astronomy is witnessing a transformative shift from terrestrial to space-based detection, with missions like Taiji at the forefront. While the transition brings unprecedented opportunities for exploring massive black hole …