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Compact Binaries through a Lens: Silent vs. Detectable Microlensing for the LIGO-Virgo-KAGRA Gravitational Wave Observatories

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arxiv 2211.13604 v3 pith:ZYDKTVWK submitted 2022-11-24 gr-qc astro-ph.COastro-ph.HE

classification gr-qcastro-ph.COastro-ph.HE
keywords lensingbinarymassdetectableeventslensodotdetector
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abstract

Massive objects located between Earth and a compact binary merger can act as a magnifying glass improving the sensitivity of gravitational wave detectors to distant events. Depending on the parameters of the system, a point mass lens between the detector and the source can either lead to a smooth frequency-dependent amplification of the gravitational wave signal, or magnification combined with the appearance of a second image that interferes with the first creating a regular, predictable pattern. We map the increase in the signal to noise ratio for upcoming LVK observations as a function of the mass of the lens $M_L$ and dimensionless source position $y$ for any point mass lens between the detector and the binary source. To quantify detectability, we compute the optimal match between the lensed waveform and the waveforms in the unlensed template bank. The higher the mismatch with unlensed templates, the more detectable lensing is. Furthermore, we estimate the probability of lensing, and find that the redshift to which binary mergers are visible with the LVK increases from z = 1 to about 3.2 for a total detected binary mass of 120 $M_\odot$. The overall probability of lensing is $<20\%$ of all detectable events above the threshold SNR for $120 M_\odot$ and $<5\%$ for more common events with $60 M_\odot$. We find that there is a selection bias for detectable lensing that favors events that are close to the line of sight $y \lesssim 0.5$. Black hole binary searches could thus improve their sensitivity by taking this bias into account. Moreover, the match, the SNR increase due to lensing, and the probability of lensing are only weakly dependent on the noise curve of the detector with very similar results for both the O3 and predicted O4 noise power spectral densities. These results are upper limits that assume all dark matter is composed of $300 M_\odot$ point mass lenses.

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Cited by 6 Pith papers

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

  1. Detectability of lensed gravitational waves in matched-filtering searches

    gr-qc 2024-11 conditional novelty 7.0 of 10

    Matched-filtering searches recover strongly lensed gravitational waves at rates far below optimal-SNR predictions, with detection efficiency dropping to under one percent.

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    The rate of compound gravitational-wave lensing by intermediate-mass black holes in globular clusters is at most about 10^-3 of galaxy-scale lensed events, disfavoring GW231123 as such an event.

  3. Identifying lensed gravitational waves with physics-informed posterior learning

    gr-qc 2026-07 conditional novelty 6.0 of 10

    Fusing a simulation-trained common-source mass posterior with waveform features raises lensed-event detection efficiency from 20.8% to 35.2% at 1% false-positive rate and lowers the SNR for 50% efficiency from 45.3 to 33.5.

  4. Can Eccentric Binary Black Hole Signals Mimic Gravitational-Wave Microlensing?

    gr-qc 2025-12 conditional novelty 6.0 of 10

    Eccentric BBH signals can masquerade as wave-optics microlensing in quasicircular analyses, but eccentric recovery templates break the degeneracy.

  5. Biases in Tests of General Relativity from Microlensed Gravitational-Wave Signals

    gr-qc 2026-07 conditional novelty 5.0 of 10

    Microlensing in the wave-optics regime can push standard LIGO-Virgo-KAGRA general-relativity tests to false ~4–4.5σ deviations, even for signals that are perfectly consistent with GR.

  6. 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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