Speaker
Description
Gravitational lensing of gravitational waves is expected to be observed in
current and future detectors. In view of the growing number of detections, computation-
ally light pipelines are needed. Detection pipelines used in past LIGO-Virgo-KAGRA
searches for strong lensing require parameter estimation to be performed on the gravi-
tational wave signal or are machine learning based. Removing the need for parameter
estimation in classical methods would alleviate the ever growing demand of computa-
tional resources in strong lensing searches and would make real-time analysis possible.
We present a novel way of identifying strongly lensed gravitational wave signals, based on
the null stream of a detector network. We lay out the basis for this detection method and
show preliminary results confirming the validity of the formalism. We also discuss the
next development steps, including how to make it independent of parameter estimation
