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Tomographic constraints on the production rate of gravitational waves from astrophysical sources

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≲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 bω˙GW<3.0×10-9 Gyr-1 at z∼0.06 to bω˙GW<2.7×10-7 Gyr-1 at z∼1.5 (95% confidence level), assuming a frequency spectrum of the form f2/3 (corresponding to an astrophysical background of binary mergers), and a reference frequency fref=25 Hz. Although these constraints are ∼2 orders of magnitude higher than the expected signal, we show that a detection may be possible with future experiments.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1103/physrevd.110.103544

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Astrophysics
Oxford college:
Christ Church
Role:
Author
ORCID:
0000-0002-4598-9719
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Astrophysics
Oxford college:
Oriel College
Role:
Author
ORCID:
0000-0002-3021-2851


More from this funder
Funder identifier:
https://ror.org/057g20z61
Grant:
ST/W000903/1
ST/P004474/2
More from this funder
Funder identifier:
https://ror.org/00k4n6c32


Publisher:
American Physical Society
Journal:
Physical Review D (particles, fields, gravitation, and cosmology) More from this journal
Volume:
110
Issue:
10
Article number:
103544
Publication date:
2024-11-25
Acceptance date:
2024-10-30
DOI:
EISSN:
2470-0029
ISSN:
2470-0010


Language:
English
Pubs id:
2054952
Local pid:
pubs:2054952
Deposit date:
2025-05-07
ARK identifier:

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