Performance Analysis of Distributed Radio Interferometric Calibration

Understand

Distributed calibration based on consensus optimization is a computationally efficient method to calibrate large radio interferometers such as LOFAR and SKA.

• Calibrating along multiple directions in the sky and removing the bright foreground signal is a crucial step in many science cases in radio interferometry.
• The residual data contain weak signals of huge scientific interest and of particular concern is the effect of incomplete sky models used in calibration on the residual.
• In order to study this, we consider the mapping between the input uncalibrated data and the output residual data.