LinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networks
LinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networks
We present a new sample of galaxy-scale strong gravitational-lens candidates, selected from 904 square degrees of Data Release 4 of the Kilo-Degree Survey (KiDS), i.e., the "Lenses in the Kilo-Degree Survey" (LinKS) sample. We apply two Convolutional Neural Networks (ConvNets) to $\sim88\,000$ colour-magnitude selected luminous red galaxies yielding a list …