SLICK: Strong Lensing Identification of Candidates Kindred in gravitational wave data

Understand

By the end of the next decade, we hope to have detected strongly lensed gravitational waves by galaxies or clusters.

• Although there exist optimal methods for identifying lensed signal, it is shown that machine learning (ML) algorithms can give comparable performance but are orders of magnitude faster than non-ML methods.
• We present the SLICK pipeline which comprises a parallel network based on deep learning.
• We analyse the Q-transform maps (QT maps) and the Sine-Gaussian maps (SGP-maps) generated for the binary black hole signals injected in Gaussian as well as real noise.