Abstract: The maximum entropy method (MEM) is a well known deconvolution technique in radio-interferometry. This method solves a non-linear optimization problem with an entropy regularization term. Other heuristics such as CLEAN are faster but highly user dependent. Nevertheless, MEM has the following advantages: it is unsupervised, it has a statistical basis, it has a better resolution and better image quality under certain conditions. GPUVMEM presents a high performance GPU version of non-gridding MEM.
Credit: Cárcamo, Miguel; Muñoz, Nicolás; Rannou, Fernando; Román, Pablo; Casassus, Simón; Osses, Axel; Moral, Victor
Preferred citation method: https://ui.adsabs.harvard.edu/abs/2018A%26C....22...16C