most citedReinforcement Learning for Data-Driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration

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astro-ph.IM2024★ 2 cited

Reinforcement Learning for Data-Driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration

Brian M. Kirk, Urvashi Rau, Ramyaa Ramyaa

Radio interferometry is an observational technique used to study astrophysical phenomena. Data gathered by an interferometer requires substantial processing before astronomers can…