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[ascl:2401.017] QuantifAI: Radio interferometric imaging reconstruction with scalable Bayesian uncertainty quantification

QuantifAI reconstructs radio interferometric images using scalable Bayesian uncertainty quantification relying on data-driven (learned) priors. It relies on the convex accelerated optimization algorithms in CRR (ascl:2401.016) and is built on top of PyTorch. QuantifAI also includes MCMC algorithms for posterior sampling.

Code site:
https://github.com/astro-informatics/QuantifAI
Described in:
https://ui.adsabs.harvard.edu/abs/2023arXiv231200125L
Bibcode:
2024ascl.soft01017L

Views: 234

ascl:2401.017
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