I have a very specific problem about blinding mechanisms in RooFit and the proper way to implement it.
My use case and requirements are the following :
I have a model where yields are redefined as a function of 3 RooRealVars [ eff(J), eff(K) , Param]
Yield( species J ) = Yield( species K) * eff( J) / eff( K) * Param
My fit must not show up the
eff(J), eff(K), Param fit results.
The fit is also “gauss-constrianing”
eff(J) and eff(K) sometimes with a 1D gauss constraint and sometimes with a 2D covariance matrix and of i have
eff(J), eff(K) being [0,1] bound always, and this is why I said that the fit must not show up the
The final fit results however needs to spit out
Param blinded central value, but having unblinded relative uncertainty.
Does anyone can help me to understand if the RooFit BlindTools allow to achieve something like this?
Thanks in advance,