ASCL Code Record
[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
Preferred citation method:
https://ui.adsabs.harvard.edu/abs/2019ASPC..523..143N , https://ui.adsabs.harvard.edu/abs/2020ascl.soft06002N
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