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Morphologically classifying radio sources in continuum images with the SKAhas the potential to address some of the key questions in cosmology and galaxyevolution. In particular, we may use different classes of radio sources asindependent tracers of the dark-matter density field, and thus overcome cosmicvariance in measuring large-scale structure, while on the galaxy evolution sidewe could measure the mechanical feedback from FRII and FRI jets. This workmakes use of a \texttt{MeqTrees}-based simulations framework to forecast theability of the SKA to recover true source morphologies at high redshifts. Asuite of high resolution images containing realistic continuum sourcedistributions with different morphologies (FRI, FRII, starburst galaxies) isfed through an SKA Phase 1 simulator, then analysed to determine thesensitivity limits at which the morphologies can still be distinguished. Wealso explore how changing the antenna distribution affects these results.

Morphological classification of radio sources for galaxy evolution and cosmology with SKA-MID