Enhancing the significance of gravitational wave bursts through signal classification

Understand

The quest to observe gravitational waves challenges our ability to discriminate signals from detector noise.

• This issue is especially relevant for transient gravitational waves searches with a robust eyes wide open approach, the so called all- sky burst searches.
• Here we show how signal classification methods inspired by broad astrophysical characteristics can be implemented in all-sky burst searches preserving their generality.
• In our case study, we apply a multivariate analyses based on artificial neural networks to classify waves emitted in compact binary coalescences.