Improving the Sensitivity of Gravitational Wave Detection with Weighted Conformal Prediction
In the last decade, kilometre-scale interferometric gravitational-wave detectors have observed hundreds of compact binary mergers, the majority of which are binary black holes. However, the data are noise-dominated, and multiple independent search algorithms (pipelines) are used to enhance sensitivity and improve robustness. Rather than the standard approach of selecting the most significant pipeline output, we combine the outputs from all pipelines using a conformal prediction-based framework to provide statistically rigorous confidence estimates for candidate events. While combining pipelines improves sensitivity and ranking robustness, it requires a principled statistical framework tha...
| Authors | Ann-Kristin Malz, Gregory Ashton, Nicolo Colombo |
|---|---|
| Primary category | gr-qc |
| Published | 10 September 2026 |
| Last updated at source | 10 September 2026 |
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