Export citation

Export citation

Choose format for download:

Download Citation

    Identifying multiple images of gravitational-wave sources lensed by elliptical lensing potentials

    Saif Ali1,2,*, Michael Kesden2,†, and Lindsay King2,‡

    • *Contact author: saif.ali@weizmann.ac.il
    • †Contact author: kesden@utdallas.edu
    • ‡Contact author: lindsay.king@utdallas.edu

    Phys. Rev. D 113, 023046 – Published 23 January, 2026

    DOI: https://doi.org/10.1103/v25y-w8x8

    Abstract

    Real astrophysical lenses typically lack axisymmetry, necessitating the study of gravitational-wave (GW) lensing by elliptical mass distributions to accurately assess detectability and waveform interpretation. We investigate strong lensing using the singular isothermal ellipsoid model, which produces two or four images depending on the source’s position relative to lens caustics. Employing a quasi-geometrical-optics framework, we determine that the geometrical-optics approximation holds reliably for lens masses above approximately 105M⊙ at GW frequencies relevant for ground-based detectors (∼102  Hz), though wave-optics effects become significant for lower masses or sources near caustics. Our waveform mismatch analysis demonstrates that the use of three-image templates significantly improves our ability to distinguish source signals, reducing mismatches from O(10−1) to O(10−2), typically by factors between 1.5 and 5 compared to the standard two-image template model. At lens masses above 107M⊙, diffraction effects become negligible for ground-based detectors, resulting in an additional mismatch reduction by a factor of approximately 3. These findings highlight the critical need for multi-image templates in GW searches to enhance detection efficiency and accuracy.

    Physics Subject Headings (PhySH)

    Authorization Required

    We need you to provide your credentials before accessing this content.

    References (Subscription Required)

    Outline

    Information

    Sign In to Your Journals Account

    Filter

    Filter

    Article Lookup

    Enter a citation