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[ascl:2006.002] PRIISM: Python module for Radio Interferometry Imaging with Sparse Modeling

PRIISM images radio interferometry data using the sparse modeling technique. In addition to generating an image, PRIISM can choose the best image from a range of processing parameters using cross validation. User can obtain statistically optimal images by providing the visibility data with some configuration parameters. The software is implemented as a Python module.

Code site:
https://github.com/tnakazato/priism
Used in:
https://ui.adsabs.harvard.edu/abs/2020ApJ...895...84Y
Described in:
https://ui.adsabs.harvard.edu/abs/2019ASPC..523..143N
Bibcode:
2020ascl.soft06002N

Views: 3600

ascl:2006.002
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