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The Return of GOLUM: Improving Distributed Joint Parameter Estimation for Strongly-Lensed Gravitational Waves

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arxiv 2304.12148 v1 pith:O5YTOYA3 submitted 2023-04-24 gr-qc

classification gr-qc
keywords golumgravitationalgravitational-waveimprovedjointparameterstrongly-lensedwaves
verification ladder T0 review T1 audit T2 compute T3 formal
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Owing to the forecasted improved sensitivity of ground-based gravitational-wave detectors, new research avenues will become accessible. This is the case for gravitational-wave strong lensing, predicted with a non-negligible observation rate in the coming years. However, because one needs to investigate all the event pairs in the data, searches for strongly-lensed gravitational waves are often computationally heavy, and one faces high false-alarm rates. In this paper, we present upgrades made to the \GOLUM software, making it more reliable while increasing its speed by re-casting the look-up table, imposing a sample control, and implementing symmetric runs on the two lensed images. We show how the recovered posteriors have improved coverage of the parameter space and how we increase the pipeline's stability. Finally, we show the results obtained by performing a joint analysis of all the events reported until the GWTC-3 catalog, finding similar conclusions to the ones presented in the literature.

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Cited by 2 Pith papers

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

  1. A product template bank to search for compact binary coalescences microlensed by isolated point mass lenses

    gr-qc 2026-07 conditional novelty 6.0 of 10

    A lensing template bank parameterized by image time delay and relative magnification, combined as a Cartesian product with the standard CBC bank, recovers point-mass-microlensed CBCs at ≥97% match over the targeted le...

  2. A $\chi^2$ statistic for the identification of strongly lensed gravitational waves from compact binary coalescences

    gr-qc 2025-02 conditional novelty 6.0 of 10

    A chi-squared test built from gravitational wave search templates can separate lensed event pairs from unlensed pairs with accuracy comparable to slower Bayesian methods.

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