Bayesian analysis of gravitational wave memory effect with TianQin

DOI: 10.48550/arxiv.2401.11416 Publication Date: 2024-01-01
ABSTRACT
The memory effect in gravitational waves is a direct prediction of general relativity. presence the wave signals not only serves as test for relativity but also establishes connections between soft theorem, and asymptotic symmetries, serving bridge exploring fundamental physics. Furthermore, with ongoing progress space-based detection projects, generated by merger massive binary black hole binaries becoming increasingly significant cannot be ignored. In this work, we perform full Bayesian analysis TianQin. results indicate that has certain impact on parameter estimation does deviate beyond 1$\sigma$ range. Additionally, Bayes factor suggests when signal-to-noise ratio TianQin approximately 2.36, $\text{log}_{10}$ reaches 8. This result consistent findings obtained from previous mismatch threshold.
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