In this talk, Dr. Rau summarizes the signal acquisition, data processing, and image analysis steps encountered in radio interferometry. Dr. Rau highlights what it is that we measure, model, infer and make decisions and educated guesses about as we transform large volumes of raw data into results ready for astrophysical interpretation.

The goal is to give colleagues unfamiliar with radio interferometric techniques a clear foundation, so that opportunities for applying new ML/AI methods become easier to recognize. Dr. Rau finishes by summarizing current ML/AI research in the radio interferometry community and how it fits into this framework.