Data driven estimation for some of the backgrounds #411
hephysicist
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Hi @hephysicist , apologies for the late reply! This is of course an important feature for many analyses, so it's very nice that you opened this discussion 👍 From the top of my head, I think the following might work:
I assume that you've put in some work in the meanwhile, so it would also be very interesting to hear the solution that you came up with! |
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Hi all!
I want to bring up the discussion of creating additional datasets and corresponding histograms representing the backgrounds after the object selection and reduction of the initial dataset.
For the Run2 CP analysis, the QCD background was estimated using the data-driven approach. The idea was to define 4 regions using two variables: relative sign of the tau leptons pair and muon isolation (ABCD method). Then one needs to estimate a transfer factor by finding a ratio between the number of events for data and all MC samples in two corresponding regions. Then we need to find a difference between the data histogram and all background histograms for each variable of interest. This is done for the control region. Finally, we scale the residual histogram from the previous step to the transfer factor. Currently, it is possible to select and save these datasets separately. However, I didn't find any way of performing all these manipulations over the histograms.
Do you have any ideas on how this thing can be done?
Looking forward to any feedback.
Stepan.
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