Physics-inspired spatiotemporal-graph AI ensemble for gravitational wave detection

The inference demos are in inference.ipynb and Real_Inference.ipynb.

Please include the following references in your articles if you use resources from this repository:

@article{Tian:2023epx, author = "Tian, Minyang and Huerta, E. A. and Zheng, Huihuo", title = "{AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers}", eprint = "2310.00052", archivePrefix = "arXiv", primaryClass = "astro-ph.IM", month = "9", year = "2023" }

and

@article{Tian:2023vdc, author = "Tian, Minyang and Huerta, E. A. and Zheng, Huihuo and Kumar, Prayush", title = "{Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers}", eprint = "2306.15728", archivePrefix = "arXiv", primaryClass = "astro-ph.IM", doi = "10.1088/2632-2153/ad4c37", journal = "Mach. Learn. Sci. Tech.", volume = "5", number = "2", pages = "025056", year = "2024" }