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AnalysisDataMCPlot.py 1.9 (12 years ago) by cbern: * DataMC plotting system * preferences can be given as wildcards to set the same preference for a bunch of histograms (say all higgs signals) * axis is now set with a more comfortable space on top of the plot * can now group and ungroup components in the plot * Histogram cloning * Ratio denominator now chosen as the highest layer, unstacked histogram. * Histograms can remember their real name, in case an alias is set * plot printout gives the name and the real name * Histograms higher than layer 1000 are not used to compute the total stack histogram. Typically, put your signals at layer > 1000. * Yellow report parser: parser added for 8TeV (xsections, BR, etc.) * Core system: * an additional weight can be set in each component. It is taken into account when building the weight. * Analyzers * PileUpAnalyzer: can now reweight embedded samples, based on the number of reconstructed vertices
DataMCPlot.py 1.20 (12 years ago) by cbern: can now do plots with only stacked histograms
Histogram.py 1.14 (11 years ago) by steggema: Protect against division by zero
Stack.py 1.13 (11 years ago) by manzoni: fixed black stripe issue
Weight.py 1.1 (13 years ago) by cbern: reorganized RootTools. added DataMC, plus test histograms
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