Identifying strong gravitational-wave lensing during the second observing run of Advanced LIGO and Advanced Virgo
Xiaoshu Liu, Ignacio Magana Hernandez, Jolien Creighton

TL;DR
This study uses Bayesian model selection to investigate potential gravitational-wave lensing in LIGO and Virgo data, finding some evidence but not conclusive proof of lensing effects in specific event pairs.
Contribution
It introduces a Bayesian framework considering phase shifts and timing to assess gravitational-wave lensing, providing a systematic approach to identify lensed signals.
Findings
Significant Bayes factor favoring lensing for GW170104 and GW170814 pair.
Long time delay reduces the overall lensing probability.
Prior probability of lensing at O2 sensitivity is very low.
Abstract
We perform Bayesian model selection with parameter estimation to identify potentially lensed gravitational-wave images from the second observing run (O2) of Advanced LIGO and Advanced Virgo. Specifically, we compute the Bayesian evidence for a pair of events being lensed or not lensed (unlensed) using nested sampling. We consider the discrete coalescence phase shifts that can be induced if the gravitational-wave signal interacts with the lens caustics in the model selection. We find that the pair of events, GW170104 and GW170814 with a coalescence phase shift, has a significant Bayes factor ( ) favoring the lensing hypothesis. However, after taking into account the long time delay of approximately 7 months between events, the timing Bayes factor is significantly small (). The prior probability for detecting strongly…
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