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