I think I do have some kind of followup to this solved issue:
The questions concerns the Range() behaviour of RooFit and its impact on analysis results and sWeights.
Imagine some mass-distribution in a RooDataSet with a defined ‘fit-range’ as basis. The pdf is already fit. And with the same pdf the range-patched RooStats::SPlot is run.
Now I enrolled some tests
- If I use ‘reduce()’ of RooAbsPdf on my dataset before my initial fit I get different results. Shouldn’t this have no impact on the result, as a defined range is basically the same as the cut dataset? This leads me to the conclusion that events outside of the defined fit-range do have a strong impact on the fit that should only be enrolled inside the range.
- Checking my sWeights in the output dataset for events outside the defined fit-region of the RooStats::SPlot I see weights deviating from 0. I’m not sure if I might have mistaken the theory, but wouldn’t I expect them to be forced to 0 as my fitted function could strongly deviate from the dataset outside the fit-range?
- Testing both previous quotes on a sub-range of the fit-range strangely results into the same fit-results and sWeights
UPDATE: How should I handle weights for events outside the fit-region?