PlotSystematicsHistograms

Plot the systematic variation histograms from a model.

Usage:

  +PlotSystematicsHistograms.inputs {
    +HWWRun2GGF{
    <outputDir = "./workspaces/run2-ggf-$(fitLabel)/systematicsInputs">
      <showInputs=true, warnMissing=false, printSummary=true, exportSummary="summary.txt">
      <variationFilter="*">
      # (optional)
      +CompareToModels {
         +HWWVBFSimple {
          +Plotter{
            +Up {
              <color=80, title="Raw Up", sub.drawOption="hist", .isData=true, histFillColor=0, histMarkerStyle=20>
            }
            +Down {
              <color=30, title="Raw Down", sub.drawOption="hist", .isData=true, histFillColor=0, histMarkerStyle=20>
            }
          }
         }
       }
      +Plotter {
        <style.subPlot="ratio", geometry.sub.height=0.55, style.sub.min=0.75, style.sub.max=1.25>
        <ensureDirectory=true, style.showTotalBkg=false,  style.nLegendCols=1, style.ratio.title = "Variation / Nominal">
        +Up {
          <color=kRed, title="Up", .isData=true, histMarkerStyle=20>
        }
        +Down {
          <color=kBlue, title="Down", .isData=true, histMarkerStyle=20>
        }
        +Nominal {
          <color=kBlack, title="Nominal", .isBackground=true, histFillStyle=0>
        }
      }
    }
  }
  +PlotSystematicsHistograms.outputs {
    +HWWRun2GGF{
      <outputDir = "./workspaces/run2-ggf-$(fitLabel)/systematicsOutputs">
      <showInputs=false, warnMissing=false>
      <variationFilter="*WW*,*ttbar*,*ggf*,*Wt*">
      <variationFilter="theo_*">
      <sampleFilter="qqWW*jet,ttbar*jet,singletop*jet,sigGGF*jet,sigVBF*jet">
      <channelFilter="*SR*">
      +Plotter {
        <style.subPlot="ratio", geometry.sub.height=0.55>
        <ensureDirectory=true, style.showTotalBkg=false, style.nLegendCols=1, style.ratio.title = "Variation / Nominal">
        +Up {
          <color=kRed, title="Up", .isData=true>
        }
        +Down {
          <color=kBlue, title="Down", .isData=true>
        }
      }
    }
  }

This action supports a wealth of options:

• outputDir="somedir" defines the directory to which the plots will be written
• showInputs=true/false define whether the systemtics inputs (before pruning/sanitization) or outputs (after pruning/sanitization) should be shown
• varationFilter, sampleFilter, channelFilter: select which histograms to show in terms of variations, samples and channels
• warnMissing=true/false select whether to emit a warning about missing systematic histograms
• +CompareToModels can be used to configure other models to compare to. The name of the folder inside corresponds to the model name. The contents of the plots can be controlled with a subfolder Plotter. Subfolders to this define the contents of the plots in terms of processes, where the histograms Up, Down and Nominal are available. The Plotter folder accepts any and all plotting style options.