Dark Matter Subhalos, Strong Lensing and Machine Learning

11 May 2020Sreedevi VarmaMalcolm FairbairnJulio Figueroa

We investigate the possibility of applying machine learning techniques to images of strongly lensed galaxies to detect a low mass cut-off in the spectrum of dark matter sub-halos within the lens system. We generate lensed images of systems containing substructure in seven different categories corresponding to lower mass cut-offs ranging from $10^9M_\odot$ down to $10^6M_\odot$... (read more)

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