I have a model like y=A*x+N where N is a fixed parameter with uncertainty say N=1.0+/-0.1. I would like to curve fit this model to a data set in order to determine A but with an uncertainty value (calculated based on the uncertainty in the fixed parameter N). I have been doing curve fits with curve_fit in Python.
This question is similar to this one which was asked a couple of years ago but hasn't gotten any answers, so this is a sort of bump.