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Cosmological inference using only gravitational wave observations of binary neutron stars

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arxiv 1506.06590 v2 pith:IDOLWPVE submitted 2015-06-22 gr-qc

classification gr-qc
keywords gravitationalwaveaccuracybinaryneutroncosmologicalfindmeasured
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abstract

[Abridged] This study presents the first Bayesian investigation of the accuracy with which the cosmological parameters can be measured using information coming \emph{only} from the gravitational wave observations of binary neutron star systems by Einstein Telescope. We find, by direct simulation of $10^3$ detections of binary neutron stars, that, within our simplifying assumptions, $H_0,\Omega_m,\Omega_\Lambda,w_0$ and $w_1$ can be measured at the $95\%$ level with an accuracy of $\sim 8\%,65\%,39\%,80\%$ and $90\%$, respectively. We also find, by extrapolation, that a measurement accuracy comparable with current measurements by Planck is possible if the number of gravitational wave events observed is $O(10^{6-7})$. We conclude that, while not competitive with electro-magnetic missions in terms of significant digits, gravitational wave alone are capable of providing a complementary determination of the dynamics of the Universe.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Cosmology in the Einstein Telescope era: comparing traditional and simulation-based methods for population inference

    astro-ph.CO 2026-08 conditional novelty 6.0 of 10

    For a mock 10^4-event Einstein Telescope dark siren catalogue, neural ratio estimation posteriors on (H0, Omega_m) match hierarchical Bayesian inference, and the same simulation-based pipeline extends to joint cosmolo...

  2. Radio sirens: inferring $H_0$ with binary black holes and neutral hydrogen in the era of the Einstein Telescope and the SKA Observatory

    astro-ph.CO 2026-05 unverdicted novelty 6.0 of 10

    Using simulated binary black hole mergers and neutral hydrogen maps, the radio sirens method constrains H0 to 8% precision with 3000 high-SNR events, offering a 90% improvement over standard dark siren analyses.

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