message: update histogram names to perform outlier removal on
diff: @@ -45,7 +45,7 @@ def scalePtHardHistos(referenceFile):
  qaListNames.append(name)
  # Get a list that has the event histograms
  - if "PWGJEQA" in name or "Jet" in name:
  + if "PWGJEQA" in name or "JetPerformance" in name:
  eventList = name
  # Note: In the case of embedding, we assume that we only need the number of accepted events, and that internal event selection
  # is activated, in which case the event count can be read from any task that has the internal event selection applied
  @@ -215,7 +215,7 @@ def ScaleAllHistograms(obj, scaleFactor, f, bRemoveOutliers=False):
  obj.Sumw2()
  if bRemoveOutliers:
  name = obj.GetName()
  - if "JESshiftEMCal" in name or "ResponseMatrixEMCal" in name:
  + if "JESshiftEMCal" in name or "ResponseMatrixEMCal" in name or "hNEFVsPtEMCal" in name:
  removeOutliers(obj, 2.)
  obj.Scale(scaleFactor)
  print("TH3 %s was scaled..." % obj.GetName())
  @@ -239,7 +239,7 @@ def ScaleAllHistograms(obj, scaleFactor, f, bRemoveOutliers=False):
  ###################################################################################
  # Function to remove outliers from a TH3 (i.e. truncate the spectrum), based on projecting to the y-axis
  -# It truncates the 3D histogram based on when the 1D projection 5-bin moving average has been above
  +# It truncates the 3D histogram based on when the 1D projection 4-bin moving average has been above
  # "limit" for "nBinsThreshold" bins.
  def removeOutliers(hist, limit):
  print "Performing outlier removal on {}".format(hist.GetName())
  