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[ascl:1907.005] SARA-PPD: Preconditioned primal-dual algorithm for radio-interferometric imaging

SARA-PPD is a proof of concept MATLAB implementation of an acceleration strategy for a recently proposed primal-dual distributed algorithm. The algorithm optimizes resolution by accounting for the correct noise statistics, leverages natural weighting in the definition of the minimization problem for image reconstruction, and optimizes sensitivity by enabling accelerated convergence through a preconditioning strategy incorporating sampling density information. This algorithm offers efficient processing of large-scale data sets that will be acquired by next generation radio-interferometers such as the Square Kilometer Array.

Code site:
https://github.com/basp-group/SARA-PPD https://basp-group.github.io/SARA-PPD/
Described in:
https://ui.adsabs.harvard.edu/abs/2017MNRAS.469..938O
Bibcode:
2019ascl.soft07005O

Views: 123

ascl:1907.005
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