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Measuring the anisotropies in astrophysical and cosmological gravitational-wave backgrounds with Taiji and LISA networks
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We investigate the capabilities of space-based gravitational-wave detector networks, specifically Taiji and LISA, to measure the anisotropies in stochastic gravitational-wave background (SGWB), which are characterized by the angular power spectrum. We find that a detector network can improve the measurement precision of anisotropies by at most fourteen orders of magnitude, depending on the angular multipoles. By doing so, we can enhance our understanding of the physical origins of SGWB, both in astrophysical and cosmological contexts. We assess the prospects of the detector networks for measuring the parameters of angular power spectrum. We further find an inevitable effect of cosmic variance, which can be suppressed by a better angular resolution, strengthening the importance of configuring detector networks. Our findings also suggest a potential detection of the kinematic dipole due to Doppler boosting of SGWB.
Forward citations
Cited by 3 Pith papers
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Cross-frequency SGWB anisotropy from compact topology: CMB B-mode covariance as a transfer probe
The paper derives an exact transfer kernel from primordial gravitational-wave anisotropy multipoles to CMB B-mode covariance, with explicit selection rules and a shared cross-frequency template for compact cubic topology.
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Inferring the stochastic gravitational-wave background from eccentric stellar-mass binary black holes with spaceborne detectors
Eccentric black-hole-binary backgrounds from globular clusters and isolated evolution would look like power-law noise for TianQin/LISA/Taiji, but AGN-formed binaries produce a turnover that LISA and Taiji can distinguish.
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Estimating the gravitational wave background anisotropy: a Bayesian approach boosted by cross-correlation angular power spectrum
A new likelihood function estimates GWB anisotropy angular power spectra directly from detector data, and cross-correlation with the CMB can make the quadrupole measurable with four years of LISA data.
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