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February 20, 2026The Astrophysical Journal2 citationsOpen Access

Lensing, Not Luck! Detection Prospects of Strongly Lensed Gravitational Waves

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ABAnkur BarsodeKMKoustav N MaityPAParameswaran Ajith

Key Points

  • The aim is to explore how strongly lensed gravitational waves can be identified among numerous unrelated signals.
  • Analyzed gravitational-wave signals from ground-based observatories
  • Assessed the impact of detection sensitivity on lensed events
  • Evaluated the effectiveness of the Posterior Overlap 2.0 method for identifying lensed signals
  • Strongly lensed gravitational waves can provide multiple signal copies detected at different times
  • Increased detector sensitivity raises the number of potential lensed events
  • The Posterior Overlap 2.0 method shows promise in reducing false alarms effectively

Abstract

Abstract A small fraction of gravitational-wave (GW) signals detected by ground-based observatories will be strongly lensed by intervening galaxies or clusters. This may produce multiple copies of the signals (i.e., lensed images) arriving at different times at the detector. These, if observed, could offer new probes of astrophysics and cosmology. However, identification of lensed image pairs among a large number of unrelated GW events is challenging. Though the number of lensed events increases with improved detector sensitivity, the false alarms increase quadratically faster. While this “lensing or luck” problem would appear to be insurmountable, we show that the expected increase in measurement precision of source parameters will efficiently weed out false alarms. Based on current astrophysical models and anticipated sensitivities, we predict that the first confident detection could occur in the fifth observing run of LIGO, Virgo, and KAGRA. We expect computational costs to be a major hurdle in achieving such a detection, and show that the Posterior Overlap 2.0 method may offer a near-optimal solution to this challenge.

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Cite This Study

Barsode et al. (2026) studied this question.

synapsesocial.com/papers/6997f984ad1d9b11b34523b1https://doi.org/10.3847/1538-4357/ae38c1
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