Hello, i wanted to ask if when using TF1 IntegralError one has to renormalize the result for the histogram bin width that has previously been fitted (as the entries/count in the TH1F depend on the binwidth etc)
If the TF1 is the result of a fit to a histogram, and you did not tell the fit to normalize by the bin width, then yes, you need to take this into account. It’s better (and for non-equidistant bins the only sane way) to already do the fit normalized.
This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.