salvaba94/G2Net
Find gravitational wave signals from binary black hole collisions.
This project helps astrophysicists and gravitational wave researchers automatically identify the subtle signals of binary black hole collisions within noisy time-series data. It takes raw gravitational wave sensor data as input and outputs predictions about the presence of these events. Researchers use this tool to efficiently analyze vast amounts of observational data.
No commits in the last 6 months.
Use this if you need a robust, pre-trained model to detect gravitational wave signals from binary black hole mergers in synthetic or real observatory data.
Not ideal if you are looking for a general-purpose time-series anomaly detection tool or a system that analyzes different types of astrophysical phenomena beyond gravitational waves.
Stars
18
Forks
1
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 16, 2022
Commits (30d)
0
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