Speaker : Athanasia Gkogkou (Postdoctoral researcher)
Date : 12th of March
Location: FORTH
Paper Abstract: Line intensity mapping (LIM) is an emerging observational method to study the large- scale structure of the Universe and its evolution. LIM does not resolve individual sources but probes the fluctuations of integrated line emissions. A serious limitation with LIM is that contributions of different emission lines from sources at different redshifts are all confused at an observed wavelength. We propose a deep learning application to solve this problem. We use conditional generative adversarial networks to extract designated information from LIM.