According to https://github.com/JelleAalbers/blueice/blob/master/blueice/inference.py#L206, our minuit implementation does not yet account for bounds. That's probably OK, since the likelihood function just gives -float('inf') outside physical bounds, but maybe minuit would appreciate (and perhaps be more reliable) if we tell it our bounds more gently.
According to https://github.com/JelleAalbers/blueice/blob/master/blueice/inference.py#L206, our minuit implementation does not yet account for bounds. That's probably OK, since the likelihood function just gives -float('inf') outside physical bounds, but maybe minuit would appreciate (and perhaps be more reliable) if we tell it our bounds more gently.
If we're planning to use or report the errors from minuit at some point, we should also set the
error_defparameter to 0.5. According to https://nbviewer.jupyter.org/github/iminuit/iminuit/blob/master/tutorial/basic_tutorial.ipynb this sets up the right magic for negative log likelihood functions.