Speaker
Willem de Roo
Description
The International LOFAR Telescope (ILT) is currently observing the entire northern sky at a resolution of 0.3 arcsec as part of the LOFAR Two-metre Sky Survey (LoTSS). Its large survey area and high resolution combined with steep number counts towards low frequencies make the ILT well suited for finding galaxy-scale lenses, but the inherent complexity of radio source morphologies make the automated identification of these lenses a challenging task.
In this talk I will present a case-study where I apply convolutional neural networks, trained on realistic ILT visibility simulations, to real ILT data, and will discuss some of the challenges of finding lenses at radio wavelengths.