The dynamical range of different fields SERiF must solve for is massive. This just breaks any reasonable preconditioner / spreads the eigen modes of the system matrix out. This is a normalization system which uses charectaristic scale factors (e.g. the approximate radius estimated using the lane-emden equation) to rescale different fields to a more similar numeric scale. This turns out to be essential for stable convergence. Broadly this implements Riesz normalization along with exact diagnoal normalization.
