SOURCE-LINKED INTELLIGENCE
Timing the cosmic expansion with gravitational-waves dark sirens: from compact binaries to large scale structures
nd semi-analytical models, we will jointly infer how fast the universe is expanding and how CBCs relate to galaxies and large-scale structures (LSS). We will use state-of-the-art technologies such as machine learning and graphical process units to construct efficient algorithms for population analyses and use scientific data delivered in the upcoming years. GravitySirens will provide the most accurate and precise GW-based measures of the Universe expansion and measure the link between CBCs, galaxies and LSSs. On one hand, the cosmic expansion measures that GravitySirens will provide can potentially lead us to the discovery of new physics at cosmological scales. On the other hand, inferring the relationship between CBCs, galaxies and LSS tracers will point us to the processes acting for compact object formation. Standard Sirens, Gravitational Wave Cosmology, Hierarchical Bayesian inference, Machine Learning
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1488096
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.