I am using UML fit and splot to fit data. I run this fitter 100 times to obtain pull distribution. After 100 runs I fit a Gaussian to resultant parameter to get the fit result and resultant parameter fit looks OK.
I have problem with error and pull distribution. Somehow error is under estimated, due to which the width of pull distribution is greater than 1. Is there any way to improve the error? (have already tried MINOS(), minuit2).
I have also attached the code. fit.C (12.6 KB)
I understan, but can happen that with weights the errors are not properly estimated, since it is just an approximation.
Also you can’t use Minos with aeivhts