Comments (1)
After some discussion we decided that this wasn't such a great way to go, and instead it will be better, and simpler, to do the masking at the CachingSimNLL level.
A first attempt at this is here: cms-analysis/HiggsAnalysis-CombinedLimit#294
We introduce a RooAbsReal per category, named like mask_CHANNEL
that tells the NLL to skip evaluating that category when mask_CHANNEL != 0
. By default these are just RooRealVars, created in the new PhysicsModel method getChannelMask(bin)
, but in our combination physics models we can override this to write formulae that do the masking. Eventually we could also mix and match with masking expressions in the datacards themselves, a bit like how rateParam formulae can be specified, but would need some more work.
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Related Issues (20)
- ValidateDatacards.py Problem: Systematic type autoMCStats not supported HOT 4
- ValidateDatacards.py fails in compiling RooFormulas
- PostFitShapesFromWorkspace produces single-bin histograms in some cases HOT 1
- shapeN not supported HOT 1
- ValidateDatacards.py does cannot read csv inputs. HOT 1
- ValidateDatacards.py looks for TH1 not required by datacard. HOT 1
- Deprecate old docs?
- PostFitShapesFromWorkspace development HOT 1
- Move CombineHarvester into Combine
- Shape template tools HOT 1
- ValidateCards.py development
- `RestoreBinning` does not properly work for some binnings, e.g. DNN scores? HOT 1
- Investigate post-fit sampling for the cases with high statistics and large lnN uncertainties HOT 3
- Need to replace R.Double with ctypes HOT 1
- CreateAxisHist function HOT 3
- Unexpected behavior generating toys from model with 2 POI
- Double no longer an attribute of ROOT for root version 6.22 HOT 3
- Unexpect rounding in the plotImpacts
- Nicer default impact plot HOT 1
- el8/el9 Compatibility HOT 1
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