VLA Self-calibration Tutorial-CASA5.7.0
From CASA Guides
This page is currently under construction.
Introduction
This CASA guide describes the basics of the self-calibration process and in particular how to choose parameters to achieve the best result. Even after the initial calibration of the dataset using the amplitude calibrator and the phase calibrator, there are likely to be residual phase and/or amplitude errors in the data. Self-calibration is the process of using an existing model, often constructed from imaging the data itself, to reduce the remaining phase and amplitude errors in your image.
Data for this Tutorial
Obtaining the Data
Observation Details
Initial Imaging
more text
Link to the task tclean
# in CASA
tclean( vis=...
