Forecasts that cross-correlating 3G GW dark sirens with CSST photometric galaxies yields 1.04% precision on H0 and 2.04% on Omega_m while also constraining GW clustering bias.
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Cross-correlating CSST galaxies with mock GW catalogs from ET2CE and BDET2CE networks can detect PBH merger fractions above ~40% and ~20% respectively via clustering bias differences.
The paper derives statistic thresholds to distinguish dynamical friction from dark matter spikes, extra dimension theory, and varying G theory using -4 PN order GW corrections in massive black hole binary inspirals across different astronomical models.
citing papers explorer
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Synergy between CSST and third-generation gravitational-wave detectors: Inferring cosmological parameters using cross-correlation of dark sirens and galaxies
Forecasts that cross-correlating 3G GW dark sirens with CSST photometric galaxies yields 1.04% precision on H0 and 2.04% on Omega_m while also constraining GW clustering bias.
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Synergy between CSST and future gravitational-wave detectors: Probing primordial black holes by cross-correlating dark sirens with galaxies
Cross-correlating CSST galaxies with mock GW catalogs from ET2CE and BDET2CE networks can detect PBH merger fractions above ~40% and ~20% respectively via clustering bias differences.
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Statistic threshold of distinguishing the environmental effects and modified theory of gravity with multiple massive black-hole binaries
The paper derives statistic thresholds to distinguish dynamical friction from dark matter spikes, extra dimension theory, and varying G theory using -4 PN order GW corrections in massive black hole binary inspirals across different astronomical models.