Dear Roofit community,
First of all I must apologize for creating another topic similar to this one: Template Profile likelihood fit using morphed histograms but I haven’t received reply to my latest question and I am still struggling to make this work.
I will briefly repeat what my question is, because I may not have been clear enough and I am sorry for that.
I have different set of 1D histograms (~50 histograms) for one observable and each histograms represents simulation with different values of top quark decay width (from 0.05 GeV to ~5 GeV), these are NOT systematically varied histograms, these are just histograms representing different values of parameter of interest. I would like to extract the width from data using profile likelihood fit to reduce systematic uncertainties. Of course I also have systematically varied histograms for each width value, but this is not a problem. My question is how can I technically do this using RooHis/Roostats? To my understanding the problem is that we don’t have continuous parameter for our point of interest (top quark decay width) we have only set of histograms that are NOT ±1 sigma variations. My idea was to use template morphing manually for and somehow plug this into RooHist framework but I am not sure how to do this or if this is even possible.
Thanks and cheers,
Tomas