Dear experts,
I’ve been using TFeldmanCousin class to calculate trusted intervals for the number of signal events. This appeared to be simple, and the following lines handle this task:
f = ROOT.TFeldmanCousins() ul = f.CalculateUpperLimit(int_val_scaled_all, int_val_scaled_bkg) ll = f.GetLowerLimit()
Although, now I’m trying to extract a likelihood curve from it to convolute it with a Gaussian, which will account the systematic uncertainties. And I cannot find anything useful within the implemented methods for v6.26:
https://root.cern.ch/doc/v626/classTFeldmanCousins.html
Could you please advise how it can be done? How may I extract the likelihood curve from a TFeldmanCousin?
I’ve found this discussion, where a similar question is reviewed. But I still cannot come up with the method to implement it technically.
D.