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Gravitational Wave Interference via Gravitational Lensing: Measurements of Luminosity Distance, Lens Mass, and Cosmological Parameters

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arxiv 1911.02798 v2 pith:54ZWEH34 submitted 2019-11-07 gr-qc

classification gr-qc
keywords gravitationallensmasssignaltimebeatcosmologicaldistance
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The gravitational lensing of gravitational waves might cause beat patterns detectable by interferometers. The feature of this kind of signal is the existence of the beat pattern in the early inspiral phase, followed by a seemingly randomly changing profile. After the strain peaks for the first time, the signal takes the usual waveform and the strain peaks for the second time. Once this signal is detected, the actual magnification factors can be obtained, so the true luminosity distance of the binary system is known. If the lens can be described by a point mass or a singular isothermal sphere, the functional forms of the time delay and the magnification factors are simple enough, so we can infer the mass of the lens or the cosmological parameters.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Gravitational lensing of gravitational waves: universal characteristics of strongly lensed memory waveforms

    gr-qc 2025-10 conditional novelty 7.0 of 10

    Strongly lensed gravitational-wave memory waveforms acquire universal parity signatures—odd for type I/III images, even for type II—that can identify image type via a simple step-function approximation.

  2. Self-lensing of moving gravitational-wave sources can break the microlensing crossing timescale degeneracy

    astro-ph.HE 2025-12 conditional novelty 5.0 of 10

    Self-lensing of a moving GW chirp by an orbiting black hole yields a curve width and interference beats that together give the orbital distance and the black hole mass.

  3. Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders

    gr-qc 2024-11 conditional novelty 5.0 of 10

    A conditional variational autoencoder trained on simulated microlensed binary black hole signals estimates lens mass and source offset with well-calibrated posteriors, runs about 10,000 times faster than Bilby, and cu...

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