A prototype for a real-time Gravitational Wave transient signal classifier
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The Project challenge
A single GW detector typically produces data with a rate of 7-8 Tb per day with a flux of 40Mb/s, and these data need to be analysed in a fast and efficient way to increase the detection confidence and obtain relevant information.
Wavefier exploits the combination of different tools to build a pipeline capable of analysing online/offline data coming from Gravitational Wave detectors.
Wavefier is an independent platform with a simple pipeline integration and result visualisation with cutting-edge technical solutions.
It can be used and tested on cluster infrastructures, via different software architecture solutions to prototype a scalable pipeline for big data analysis in astronomy and in other domains.
COMMpla provides software development as well as architecture management.
![](https://commpla.com/wp-content/uploads/2022/01/WaveFier-VIRGO-orig.png)
![](https://commpla.com/wp-content/uploads/2022/01/GrafanaDashboard.png)
The developed pipeline is based on multiple technologies, combined together to obtain a scalable and interoperable product, ready to be deployed in complex environments.
- Scientific algorithms to reduce noise
- Apache Kafka to have an event streaming platform
- TensorFlow to apply ML algorithms to the data
- InfluxDB to store analysis outputs
- Grafana to show time-based result dashboards
- Continuous Integration/Deployment
- Kubernetes to deploy Wavefier on complex clusters
WaveFier is the result of an industral collaboration project with “CNRS – Center National de la Recherche Scientifique in Paris” acting on behalf of the “Laboratoire d’Annecy de physique des particules – LAPP UMR n. 51814” , carried out in the context of the Asterics / Obelics project of the European Union’s H2020 Programme.
Credits: Elena Cuoco – Ph.D. researcher Head of Data Science Office @EGO-Virgo “European Gravitational Observatory” – Scientific Supervisor of the project
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