arXiv (All)
open access
Gravitational-wave dark sirens as astrophysical probes: inferring galaxy-merger relations and identifying individual hosts
cosmology-and-nongalactic-astrophysicsgeneral-relativity-and-quantum-cosmologyhigh-energy-physics-phenomenology
Gravitational-wave (GW) ``dark siren'' techniques, namely the statistical association of GW events with a galaxy catalog, have so far been used as a cosmological tool. Yet this association carries distinctive astrophysical information that remains unused---specifically, how compact binaries populate
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Comparing the Detectability of the Baryon Acoustic Oscillation through Gravitational-Wave Autocorrelation and Cross-Correlation with Galaxies#1034947
- Not all those missing are lost: leveraging galaxy clustering in incomplete catalogs to unleash dark sirens cosmology#818665
- Not all those missing are lost: leveraging galaxy clustering in incomplete catalogs to unleash dark sirens cosmology#808673
- Expanding the scope of dark siren cosmology: Inferring the population properties of gravitational wave-hosting galaxies#971952
- Scalable Dark Siren Cosmology with gwcosmo: GPU Acceleration, Validation and Systematics#1123100
Record · ID 1142406
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive