Deep learning for clustering of continuous gravitational wave candidates II: identification of low-SNR candidates

Understand

Broad searches for continuous gravitational wave signals rely on hierarchies of follow-up stages for candidates above a given significance threshold.

• An important step to simplify these follow-ups and reduce the computational cost is to bundle together in a single follow-up nearby candidates.
• This step is called clustering and we investigate carrying it out with a deep learning network.
• In our first paper [1], we implemented a deep learning clustering network capable of correctly identifying clusters due to large signals.