do you need to know the noise model to make the noise model?

we assume we know something, namely a white noise model specified by ivar maps, to get properly weighted map differences.

how hard would it be to generalize this, eg first to a strawman model? would this help anything (eg noise from map differences vs. autos minus crosses)?