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[ascl:2301.027] Puri-Psi: Radio interferometric imaging

Puri-Psi addresses radio interferometric imaging problems using state-of-the-art optimization algorithms and deep learning. It performs scalable monochromatic, wide-band, and polarized imaging. It also provide joint calibration and imaging, and scalable uncertainty quantification. A scalable framework for wide-field monochromatic intensity imaging is also available, which encompasses a pure optimization algorithm, as well as an AI-based method in the form of a plug-and-play algorithm propelled by Deep Neural Network denoisers.

Code site:
https://github.com/basp-group/Puri-Psi https://basp-group.github.io/Puri-Psi/
Used in:
https://ui.adsabs.harvard.edu/abs/2019MNRAS.489.1230A https://ui.adsabs.harvard.edu/abs/2020arXiv200307358T https://ui.adsabs.harvard.edu/abs/2023arXiv230106061G
Bibcode:
2023ascl.soft01027W
Preferred citation method:

Please see citation information here: https://basp-group.github.io/Puri-Psi/#referencing


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ascl:2301.027
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