Deterministic denoising of long-duration gravitational-wave signal candidates with $\alpha$-(de)blending
The deterministic machine-learning method for denoising candidate signals from all-sky searches for continuous gravitational waves from rotating neutron stars recovers the correct sky-position-dependent pattern for signal-to-noise ratios, demonstrating that deterministic diffusion-based denoising may serve as a consist...
P. Figura, Michal Bejger
· 0 citations