Plot the Covariance Matrix

You might wish to examine how the various parameters are correlated with each other. You can do this by plotting the covariance matrix using visualize.covariance():

import visualize
visualize.covariance()

This should produce a plot which looks similar to the image below. There appears to be a strong correlation between the axial ratio, size, and total flux density of the source.