I am using ROOT’s TF1Convolution to fit a distribution, with this code template:
TF1Convolution *fConv = new TF1Convolution("([0]/(1+exp(x-[1]/[2])))","gaus",-1,6, true);
fConv->SetRange(-5.,5.);
fConv->SetNofPointsFFT(1000);
TF1 *fitFun = new TF1("fitFun",*fConv, -5, 5., fConv->GetNpar());
hist -> Fit("fitFun");
My question: is there a way to make predictions with the convoluted function? Is it possible to calculate the function values once the fit parameters are determined, say for instance for x=6.0?