Lecture
This lecture covers the concept of self-calibration in radio astronomy, focusing on the iterative process of improving gains and models using available information. The instructor explains how to make a model using 1GC data, flag residual data, estimate gains model, apply gains, and repeat the process until satisfied. The lecture also includes practical examples of scripting in CASA for self-calibration activities.