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Identifying strongly lensed gravitational wave signals from binary black hole mergers

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it
abstract

Based on the rate of gravitational-wave (GW) detections by Advanced LIGO and Virgo, we expect these detectors to observe hundreds of binary black hole mergers as they achieve their design sensitivities (within a few years). A small fraction of them can undergo strong gravitational lensing by intervening galaxies, resulting in multiple images of the same signal. To a very good approximation, the lensing magnifies/de-magnifies these GW signals without affecting their frequency profiles. We develop a Bayesian inference technique to identify pairs of strongly lensed images among hundreds of binary black hole events and demonstrate its performance using simulated GW observations.

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years

2026 3 2025 1

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UNVERDICTED 4

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representative citing papers

BB plot: A Tool for Accurate Model Selection Using Bayes factors

gr-qc · 2026-05-11 · unverdicted · novelty 6.0

The BB plot is a new diagnostic that links Bayes factors to their expected distributions under competing hypotheses, enabling validation of calculations and low-cost background estimation for model selection in GW studies.

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