MCMC changes

Added new auto scores auto, auto_keq and auto_inverse which automatically switched between a linear 0 to 1 transform and a log transform 0 to 1 scale based on the upper and lower bounds. This helps MCMC and normal usage.

auto_inverse is built for film_diffusion and particle_diffusion estimations and error modeling to help deal with the coupling between them

Creating the error model is no longer done with random sampling. A sobol sequence is used now and the error model is now much more predictably created and the distributions used much more closely match the real distributions.