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[ascl:1906.014] GPUVMEM: Maximum Entropy Method (MEM) GPU algorithm for radio astronomical image synthesis

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.

Code site:
https://github.com/miguelcarcamov/gpuvmem
Described in:
https://ui.adsabs.harvard.edu/abs/2018A%26C....22...16C
Bibcode:
2019ascl.soft06014C

Views: 505

ascl:1906.014
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