Spinning spectral sirens: Robust cosmological measurement using mass-spin correlations in the binary black hole population
Hui Tong, Maya Fishbach, Eric Thrane

TL;DR
This paper introduces a novel method using binary black hole spins to identify stable mass features for robust cosmological measurements, specifically the Hubble constant, mitigating biases from evolving mass features.
Contribution
The paper proposes using black hole spin data to improve spectral siren cosmology, providing a more reliable way to measure the Hubble constant from gravitational wave data.
Findings
Demonstrated a measurement of H_0 with large uncertainties.
Identified a mass scale separating different spin populations.
Showed how spin information mitigates biases from evolving mass features.
Abstract
Gravitational waves from compact binary mergers provide a direct measurement of luminosity distance, which, in combination with redshift information, serves as a cosmological probe. In order to statistically infer merger redshifts, the ``spectral standard siren" method relies on features, such as peaks, dips or breaks, in the compact object mass spectrum, which get redshifted in the detector-frame relative to the source-frame. However, if the source-frame location of these features evolves over cosmic time, the spectral siren measurement may be biased. Some features, such as the edges of the pair-instability supernova mass gap, may be more stable than others. We point out that binary black hole (BBH) spins, which are not redshifted in the detector-frame, provide a natural way to identify robust mass scales for spectral siren cosmology. For example, there is recent evidence for a mass…
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Taxonomy
TopicsCosmology and Gravitation Theories · Relativity and Gravitational Theory · Computational Physics and Python Applications
