SCT monitoring: added configuration files for the new-style postprocessing

DataQuality/DataQualityUtils/data/postprocessing/SCTmon.yaml

+# 
+# Copyright (C) 2002-2021 CERN for the benefit of the ATLAS collaboration
+# Separate blocks with ---
+#
+---
+Input: [ 
+         'SCT(?P<sec>[A-E]*)/Noise/noiseoccupancymaptrigger(?P<sec2>[ECm,ECp]*)_(?P<L>\d)_(?P<S>\d)',
+         'SCT(?P<sec>[A-E]*)/eff/ineff.*_(?P<L>\d)_(?P<S>\d)',
+         'SCT(?P<sec>[A-E]*)/errors/Errors/SCT_NumberOfErrors(?P=sec)_(?P<L>\d)_(?P<S>\d)',
+         'GENERAL/errors/Masked\ Links',
+         #'GENERAL/errors/Flagged\ Links', #Location of this hist yet to be defined
+]
+Output: [ 'SCTConfNew' ]
+Function: SCT_Monitoring.SCTPostProcessing.conf
+Parameters: { label: ['Noisy','Inefficieny','Errors','Masked Links','Flagged Links'], thr: [150,0.1,0.7] }
+Description: SCTCONF
+---
+Input: [ 'SCT(?P<sec>[EC,B,EA]*)/eff/[m_,p_]*eff_(?P<L>\d)_(?P<S>\d)$' ]
+Output: [ 'SctEffDistribution' ]
+Function: SCT_Monitoring.SCTPostProcessing.effcomb
+Description: Combining

InnerDetector/InDetMonitoring/SCT_Monitoring/python/SCTPostProcessing.py

+#
+#  Copyright (C) 2002-2021 CERN for the benefit of the ATLAS collaboration
+#
+def effcomb(inputs):
+    import ROOT
+    rv = ROOT.TH1F('SctEffDistribution;Efficiency;Links', 'SCT Efficiency Distribution', 500, 0, 1)
+    plots = [_[1][0] for _ in inputs]  # all plots passed as first element of list
+    rv.GetXaxis().SetTitle('Efficiency')
+    rv.GetYaxis().SetTitle('Links')
+    for plot in plots:
+        for xbin in range(plot.GetNbinsX()):
+            for ybin in range(plot.GetNbinsY()):
+                if(plot.GetBinEntries(plot.GetBin(xbin,ybin))==0):
+                    continue
+                rv.Fill(plot.GetBinContent(xbin,ybin))
+    return [rv]
+
+def conf(inputs, label, thr):
+    import ROOT
+    rh = ROOT.TH1F('SCTConfNew', 'Num of Problematic Modules in All Region', 5, -0.5, 4.5)
+    for l in range(len(label)):
+        rh.GetXaxis().SetBinLabel(l+1,label[l])
+    for i in range(len(inputs[0][1])):
+        plots = [_[1][i] for _ in inputs]  # all plots passed as first element of list
+        if i < 3:
+            #for plot in plots:
+            for m in range(int(len(plots)/2)):
+                plot0 = plots[2*m]
+                plot1 = plots[2*m+1]
+                for xbin in range(plot0.GetNbinsX()):
+                    for ybin in range(plot0.GetNbinsY()):
+                        if (plot0.GetBinContent(xbin+1,ybin+1) > thr[i] or plot1.GetBinContent(xbin+1,ybin+1) > thr[i]):
+                             rh.Fill(i)
+        else:
+        #use only first plot as all others are replicas (only for Masked and flagged links plots)
+            rh.Fill(i,plots[0].GetBinContent(4))
+    return [rh]