REVIEW 2 cited by
Tomographic constraints on the production rate of gravitational waves from astrophysical sources
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
abstract
Using an optimal quadratic estimator, we measure the large-scale cross-correlation between maps of the stochastic gravitational-wave intensity, constructed from the first three LIGO-Virgo observing runs, and a suite of tomographic samples of galaxies covering the redshift range $z\lesssim 2$. We do not detect any statistically significant cross-correlation, but the tomographic nature of the data allows us to place constraints on the (bias-weighted) production rate density of gravitational waves by astrophysical sources as a function of cosmic time. Our constraints range from $\langle b\dot{\Omega}_{\rm GW}\rangle<3.0\times10^{-9}\,{\rm Gyr}^{-1}$ at $z\sim0.06$ to $\langle b\dot{\Omega}_{\rm GW}\rangle<2.7\times10^{-7}\,{\rm Gyr}^{-1}$ at $z\sim1.5$ (95\% C.L.), assuming a frequency spectrum of the form $f^{2/3}$ (corresponding to an astrophysical background of binary mergers), and a reference frequency $f_{\rm ref}=25\,{\rm Hz}$. Although these constraints are $\sim2$ orders of magnitude higher than the expected signal, we show that a detection may be possible with future experiments.
Forward citations
Cited by 2 Pith papers
-
Directional Search for Persistent Gravitational Waves: Results from the First Part of LIGO-Virgo-KAGRA's Fourth Observing Run
An 8.3-year LIGO–Virgo–KAGRA search for persistent, direction-dependent gravitational waves finds no signal and yields the most restrictive upper limits to date on anisotropic backgrounds and targeted sources.
-
The impact of the formation channel on gravitational-wave-galaxy cross-correlations
GW-galaxy cross-correlation forecasts depend strongly on the assumed binary time-delay distribution but barely on the mass-transfer prescription, with detections predicted only for long delays against shallow surveys.
Discussion (0). Continue with ORCID to comment.