papers
Publications (3)
gr-qc2026
Can machine learning improve the detectability and disentanglement of the gravitational-wave background?
Hugo Einsle, Marie Anne Bizouard, Tania Regimbau +2
Gravitational waves from compact binary coalescences and from early Universe processes are expected to form a gravitational-wave background. We employ a custom deep learning multi-…
gr-qc2025
Enhanced long-duration gravitational-wave transient sources search pipeline with denoising and tree clustering algorithms
Hugo Einsle, Marie-Anne Bizouard, Adrian Macquet
We present a two-stage upgrade to the PySTAMPAS pipeline that boosts the search for long-duration (10 to 10^3 s) transients in gravitational-wave detector data. First, a denoising…
gr-qc2025
Gravitational-wave background detection using machine learning
Hugo Einsle, Marie-Anne Bizouard, Tania Regimbau +1
Extracting the faint gravitational-wave background (GWB) signal from dominant detector noise and disentangling its %diverse astrophysical and cosmological components remain signifi…