QuantifAI: Radio interferometric imaging reconstruction with scalable Bayesian uncertainty quantification
Abstract
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.
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- January 2024
- Bibcode:
- 2024ascl.soft01017L
- Keywords:
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- Software