Dear expert,
I have the following problem. In a counting experiment I have many nuisance parameters which I can assume 100% correlated (positively). Under this hypothesis, I can treat the uncertainties on those parameters by rewrite them as a function of a single variable X. With this approach X is the only nuisance parameter I consider (with guass(0,1) as pdf).
However, I don’t see any changes in the significance (null hypothesis) and limits when I include the pdf on X in the likelihood…
I am using the ProfileLikelihoodCalculator.
In case you can take a look I have attached an (very) exemplified version with some fake values to help the debug.
Any ideas?
Many thanks,
regards.
test.C (5.17 KB)