Strong lensing of MBHBs produces identifiable beat patterns in about 7% of detectable two-image LISA events, with Bayesian inference recovering time delay and magnification parameters.
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2026 2verdicts
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Dynamic LISA/Taiji sensitivity curves exhibit 20% low-frequency variation and 70% directional source-count variation relative to static models, with quadrant patterns at low frequencies.
citing papers explorer
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Identification of Lensed Gravitational-Wave Beat Patterns by LISA
Strong lensing of MBHBs produces identifiable beat patterns in about 7% of detectable two-image LISA events, with Bayesian inference recovering time delay and magnification parameters.
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Construction of Sensitivity Curves for Dynamic LISA and Taiji
Dynamic LISA/Taiji sensitivity curves exhibit 20% low-frequency variation and 70% directional source-count variation relative to static models, with quadrant patterns at low frequencies.