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Currently, signal region optimization relies on the ttH/FCNC code (using RooFit + combine). This is fine for our purposes now, but it is a bit messy and the code is hard to read + not as flexible as I would like.
A pure-python implementation would be faster and could be made to be more configurable, readable, and user-friendly.
I'd propose to use zfit [1] as a replacement to RooFit and hepstats [2] as a replacement for combine.
I will plan to do this, but anyone else interested should feel free as well.
I think both are nice packages, just had a quick look at both.
One exercise that worth doing is to do side-band fit with zfit, didn't find the implementation from a quick look.
Currently, signal region optimization relies on the ttH/FCNC code (using
RooFit
+combine
). This is fine for our purposes now, but it is a bit messy and the code is hard to read + not as flexible as I would like.A pure-python implementation would be faster and could be made to be more configurable, readable, and user-friendly.
I'd propose to use
zfit
[1] as a replacement toRooFit
andhepstats
[2] as a replacement forcombine
.I will plan to do this, but anyone else interested should feel free as well.
[1] https://github.com/zfit/zfit
[2] https://github.com/scikit-hep/hepstats
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