Analyzing interferometric observations of strong gravitational lenses with recurrent and convolutional neural networks

31 Jul 2018Warren R. MorningstarYashar D. HezavehLaurence Perreault LevasseurRoger D. BlandfordPhilip J. MarshallPatrick PutzkyRisa H. Wechsler

We use convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to estimate the parameters of strong gravitational lenses from interferometric observations. We explore multiple strategies and find that the best results are obtained when the effects of the dirty beam are first removed from the images with a deconvolution performed with an RNN-based structure before estimating the parameters... (read more)

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