I'm working on validating the output of RJigsawTools vs ZeroLeptonRun2.
Despite a difference in jet definitions which affects the MEff filtering, the unweighted distributions look good at high scales where this should matter less.
However, the norm weights differ from ZLR2. These should be the same. For the ttbar sample, ours is ~3e-5, and ZLR2's merging step gives ~2.2e-5. This is probably because we're pulling the sum of weights from the XAH cutflow histogram which just counts the events run over. We instead need to count the pre-derivation-skimming events. However turning on the CBC accessing with m_useMetaData in XAH causes a crash. Submitted an issue here:
UCATLAS/xAODAnaHelpers#565
-L
I'm working on validating the output of RJigsawTools vs ZeroLeptonRun2.
Despite a difference in jet definitions which affects the MEff filtering, the unweighted distributions look good at high scales where this should matter less.
However, the norm weights differ from ZLR2. These should be the same. For the ttbar sample, ours is ~3e-5, and ZLR2's merging step gives ~2.2e-5. This is probably because we're pulling the sum of weights from the XAH cutflow histogram which just counts the events run over. We instead need to count the pre-derivation-skimming events. However turning on the CBC accessing with m_useMetaData in XAH causes a crash. Submitted an issue here:
UCATLAS/xAODAnaHelpers#565
-L