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plotTogether.py
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plotTogether.py
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import ROOT
# import logging
def main():
samples2plot = ["chargedPions_nPart1_E2_pre15_5k",
"chargedPions_nPart1_E5_pre15_5k",
# "chargedPions_nPart1_E10_pre15_5k",
"chargedPions_nPart1_E20_pre15_5k",
# "chargedPions_nPart1_E40_pre15_5k",
"chargedPions_nPart1_E80_pre15_5k",
# "chargedPions_nPart1_E160_pre15_5k",
"chargedPions_nPart1_E320_pre15_5k"
]
outDir = '/afs/cern.ch/work/c/clange/HGCal/output'
inDir = '/afs/cern.ch/work/c/clange/HGCal/output'
ROOT.gROOT.SetBatch(True)
colourBlindColours = {}
colourBlindColours[0] = ROOT.TColor(10000, 0, 0.4470588235, 0.6980392157)
colourBlindColours[1] = ROOT.TColor(10001, 0.337254902, 0.7058823529, 0.9137254902)
colourBlindColours[2] = ROOT.TColor(10002, 0.8, 0.4745098039, 0.6549019608)
colourBlindColours[3] = ROOT.TColor(10003, 0, 0.6196078431, 0.4509803922)
colourBlindColours[4] = ROOT.TColor(10004, 0.8352941176, 0.368627451, 0)
sampleColours = {}
sampleColours["chargedPions_nPart1_E2_pre15_5k"] = 10000
sampleColours["chargedPions_nPart1_E5_pre15_5k"] = 10001
sampleColours["chargedPions_nPart1_E20_pre15_5k"] = 10002
sampleColours["chargedPions_nPart1_E80_pre15_5k"] = 10003
sampleColours["chargedPions_nPart1_E320_pre15_5k"] = 10004
sampleMarkerStyle = {}
sampleMarkerStyle["chargedPions_nPart1_E2_pre15_5k"] = 20
sampleMarkerStyle["chargedPions_nPart1_E5_pre15_5k"] = 21
sampleMarkerStyle["chargedPions_nPart1_E20_pre15_5k"] = 22
sampleMarkerStyle["chargedPions_nPart1_E80_pre15_5k"] = 23
sampleMarkerStyle["chargedPions_nPart1_E320_pre15_5k"] = 24
sampleLabels = {}
sampleLabels["chargedPions_nPart1_E2_pre15_5k"] = "E = 2 GeV"
sampleLabels["chargedPions_nPart1_E5_pre15_5k"] = "E = 5 GeV"
sampleLabels["chargedPions_nPart1_E20_pre15_5k"] = "E = 20 GeV"
sampleLabels["chargedPions_nPart1_E80_pre15_5k"] = "E = 80 GeV"
sampleLabels["chargedPions_nPart1_E320_pre15_5k"] = "E = 360 GeV"
histList2D = [
"RecHitsClus_layers_energy_cumulative",
"RecHitsClus_layers_energy_relative",
"RecHits_layers_energy",
"SimVsRecHits_frac_energy_EE_FH+BH_fullEta",
"RecHits_layers_delta_x_RecHitsClusMaxLayer",
"RecHits_layers_delta_y_RecHitsClusMaxLayer",
"RecHits_layers_delta_d_RecHitsClusMaxLayer",
"RecHits_layers_delta_x_eWeight_RecHitsClusMaxLayer",
"RecHits_layers_delta_y_eWeight_RecHitsClusMaxLayer",
"RecHits_layers_delta_d_eWeight_RecHitsClusMaxLayer",
"RecHits_layers_delta_d2_eWeight_RecHitsClusMaxLayer",
]
histList1D = ["RecHitsClus_layers_energy_1D_cumulative",
"RecHitsClus_layers_energy_1D_relative",
"RecHitsClus_layers_energy_plain_1D_cumulative",
"RecHitsClus_layers_energy_plain_1D_relative",
"RecHits_layers_energy_1D",
"RecHits_layers_nHits",
"SimVsRecHits_frac_energy_EE_fullEta",
"SimVsRecHits_frac_energy_BH_fullEta",
"SimVsRecHits_frac_energy_BH_fullEta_fracEvents_1D",
"SimVsRecHits_frac_energy_BH_fullEta_fracEvents_1D_cumulative",
"SimClus_pt",
"SimClus_energy",
"RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_all",
"RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_EE",
"RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH",
"RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_BH",
"RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH+BH",
"RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_all",
"RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_EE",
"RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH",
"RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_BH",
"RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH+BH",
# divide by total energy below
"RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_all",
"RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_EE",
"RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_FH",
"RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_BH",
"RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_FH+BH",
#
"RecHitsClusVsRecHits_radius_frac_energy_SimCluster_all",
"RecHitsClusVsRecHits_radius_frac_energy_SimCluster_EE",
"RecHitsClusVsRecHits_radius_frac_energy_SimCluster_FH",
"RecHitsClusVsRecHits_radius_frac_energy_SimCluster_BH",
"RecHitsClusVsRecHits_radius_frac_energy_SimCluster_FH+BH",
"SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_all",
"SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_EE",
"SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH",
"SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_BH",
"SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH+BH",
"SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_all",
"SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_EE",
"SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH",
"SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_BH",
"SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH+BH",
"SimVsRecHits_radius_frac_energy_SimCluster_all",
"SimVsRecHits_radius_frac_energy_SimCluster_EE",
"SimVsRecHits_radius_frac_energy_SimCluster_FH",
"SimVsRecHits_radius_frac_energy_SimCluster_BH",
"SimVsRecHits_radius_frac_energy_SimCluster_FH+BH",
"RecHitsClusVsRecHits_radius_events_eFrac75_RecHitsClusMaxLayer_all",
"RecHitsClusVsRecHits_radius_events_eFrac80_RecHitsClusMaxLayer_all",
"RecHitsClusVsRecHits_radius_events_eFrac85_RecHitsClusMaxLayer_all",
"RecHitsClusVsRecHits_radius_events_eFrac90_RecHitsClusMaxLayer_all",
"RecHitsClusVsRecHits_radius_events_eFrac95_RecHitsClusMaxLayer_all",
"SimVsRecHits_radius_events_eFrac75_RecHitsClusMaxLayer_all",
"SimVsRecHits_radius_events_eFrac80_RecHitsClusMaxLayer_all",
"SimVsRecHits_radius_events_eFrac85_RecHitsClusMaxLayer_all",
"SimVsRecHits_radius_events_eFrac90_RecHitsClusMaxLayer_all",
"SimVsRecHits_radius_events_eFrac95_RecHitsClusMaxLayer_all",
]
histYTitles = {}
histYTitles["RecHitsClus_layers_energy_cumulative"] = "cumulative sum of RecHits energy deposits/SimCluster energy"
histYTitles["RecHitsClus_layers_energy_relative"] = "relative RecHits/SimCluster energy deposits per layer"
histYTitles["RecHits_layers_energy"] = "number of RecHits energy deposits [a.u.]"
histYTitles["SimVsRecHits_frac_energy_EE_FH+BH_fullEta"] = "events"
histYTitles["RecHitsClus_layers_energy_1D_cumulative"] = "cumulative relative RecHits/SimCluster energy deposits"
histYTitles["RecHitsClus_layers_energy_1D_relative"] = "relative RecHits/SimCluster energy deposits per layer"
histYTitles["RecHitsClus_layers_energy_plain_1D_cumulative"] = "cumulative relative RecHits/SimCluster energy deposits"
histYTitles["RecHitsClus_layers_energy_plain_1D_relative"] = "relative RecHits/SimCluster energy deposits per layer"
histYTitles["RecHits_layers_energy_1D"] = "RecHits energy deposits [a.u.]"
histYTitles["RecHits_layers_nHits"] = "RecHits number of hits [a.u.]"
histYTitles["SimVsRecHits_frac_energy_EE_fullEta"] = "events"
histYTitles["SimVsRecHits_frac_energy_BH_fullEta"] = "events"
histYTitles["SimVsRecHits_frac_energy_BH_fullEta_fracEvents_1D"] = "fraction of events"
histYTitles["SimVsRecHits_frac_energy_BH_fullEta_fracEvents_1D_cumulative"] = "cumulative fraction of events"
histYTitles["SimClus_pt"] = "entries"
histYTitles["SimClus_energy"] = "entries"
histYTitles["RecHits_layers_delta_x_RecHitsClusMaxLayer"] = "#Delta x [mm]"
histYTitles["RecHits_layers_delta_y_RecHitsClusMaxLayer"] = "#Delta y [mm]"
histYTitles["RecHits_layers_delta_d_RecHitsClusMaxLayer"] = "#Delta d [mm]"
histYTitles["RecHits_layers_delta_x_eWeight_RecHitsClusMaxLayer"] = "#Delta x [mm]"
histYTitles["RecHits_layers_delta_y_eWeight_RecHitsClusMaxLayer"] = "#Delta y [mm]"
histYTitles["RecHits_layers_delta_d_eWeight_RecHitsClusMaxLayer"] = "#Delta d [mm]"
histYTitles["RecHits_layers_delta_d2_eWeight_RecHitsClusMaxLayer"] = "#Delta d^{2} [mm^{2}]"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_all"] = "#sum RecHits(radius) / #sum RecHits(total) E for all subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_EE"] = "#sum RecHits(radius) / #sum RecHits(total) E for EE subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH"] = "#sum RecHits(radius) / #sum RecHits(total) E for FH subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_BH"] = "#sum RecHits(radius) / #sum RecHits(total) E for BH subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH+BH"] = "#sum RecHits(radius) / #sum RecHits(total) E for FH+BH subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_all"] = "#sum RecHits(radius) / #sum RecHits(total) E for all subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_EE"] = "#sum RecHits(radius) / #sum RecHits(total) E for EE subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH"] = "#sum RecHits(radius) / #sum RecHits(total) E for FH subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_BH"] = "#sum RecHits(radius) / #sum RecHits(total) E for BH subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH+BH"] = "#sum RecHits(radius) / #sum RecHits(total) E for FH+BH subdetector(s)"
#
histYTitles["RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_all"] = "#sum RecHits(radius) / #sum RecHits(total) E for all subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_EE"] = "#sum RecHits(radius) / #sum RecHits(total) E for EE subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_FH"] = "#sum RecHits(radius) / #sum RecHits(total) E for FH subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_BH"] = "#sum RecHits(radius) / #sum RecHits(total) E for BH subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_FH+BH"] = "#sum RecHits(radius) / #sum RecHits(total) E for FH+BH subdetector(s)"
#
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_SimCluster_all"] = "#sum RecHits(radius) / #sum RecHits(total) E for all subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_SimCluster_EE"] = "#sum RecHits(radius) / #sum RecHits(total) E for EE subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_SimCluster_FH"] = "#sum RecHits(radius) / #sum RecHits(total) E for FH subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_SimCluster_BH"] = "#sum RecHits(radius) / #sum RecHits(total) E for BH subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_frac_energy_SimCluster_FH+BH"] = "#sum RecHits(radius) / #sum RecHits(total) E for FH+BH subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_all"] = "#sum RecHits(radius) / SimCluster E for all subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_EE"] = "#sum RecHits(radius) / SimCluster E for EE subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH"] = "#sum RecHits(radius) / SimCluster E for FH subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_BH"] = "#sum RecHits(radius) / SimCluster E for BH subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH+BH"] = "#sum RecHits(radius) / SimCluster E for FH+BH subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_all"] = "#sum RecHits(radius) / SimCluster E for all subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_EE"] = "#sum RecHits(radius) / SimCluster E for EE subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH"] = "#sum RecHits(radius) / SimCluster E for FH subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_BH"] = "#sum RecHits(radius) / SimCluster E for BH subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH+BH"] = "#sum RecHits(radius) / SimCluster E for FH+BH subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_SimCluster_all"] = "#sum RecHits(radius) / SimCluster E for all subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_SimCluster_EE"] = "#sum RecHits(radius) / SimCluster E for EE subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_SimCluster_FH"] = "#sum RecHits(radius) / SimCluster E for FH subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_SimCluster_BH"] = "#sum RecHits(radius) / SimCluster E for BH subdetector(s)"
histYTitles["SimVsRecHits_radius_frac_energy_SimCluster_FH+BH"] = "#sum RecHits(radius) / SimCluster E for FH+BH subdetector(s)"
histYTitles["RecHitsClusVsRecHits_radius_events_eFrac75_RecHitsClusMaxLayer_all"] = "fraction of events"
histYTitles["RecHitsClusVsRecHits_radius_events_eFrac80_RecHitsClusMaxLayer_all"] = "fraction of events"
histYTitles["RecHitsClusVsRecHits_radius_events_eFrac85_RecHitsClusMaxLayer_all"] = "fraction of events"
histYTitles["RecHitsClusVsRecHits_radius_events_eFrac90_RecHitsClusMaxLayer_all"] = "fraction of events"
histYTitles["RecHitsClusVsRecHits_radius_events_eFrac95_RecHitsClusMaxLayer_all"] = "fraction of events"
histYTitles["SimVsRecHits_radius_events_eFrac75_RecHitsClusMaxLayer_all"] = "fraction of events"
histYTitles["SimVsRecHits_radius_events_eFrac80_RecHitsClusMaxLayer_all"] = "fraction of events"
histYTitles["SimVsRecHits_radius_events_eFrac85_RecHitsClusMaxLayer_all"] = "fraction of events"
histYTitles["SimVsRecHits_radius_events_eFrac90_RecHitsClusMaxLayer_all"] = "fraction of events"
histYTitles["SimVsRecHits_radius_events_eFrac95_RecHitsClusMaxLayer_all"] = "fraction of events"
for histName in histList2D+histList1D:
if histName not in histYTitles:
histYTitles[histName] = "entries"
histXTitles = {}
histXTitles["SimVsRecHits_frac_energy_EE_fullEta"] = "summed RecHits energy fraction EE"
histXTitles["SimVsRecHits_frac_energy_BH_fullEta"] = "summed RecHits energy fraction BH"
histXTitles["SimVsRecHits_frac_energy_BH_fullEta_fracEvents_1D"] = "summed RecHits energy fraction BH"
histXTitles["SimVsRecHits_frac_energy_BH_fullEta_fracEvents_1D_cumulative"] = "summed RecHits energy fraction BH"
histXTitles["SimVsRecHits_frac_energy_EE_FH+BH_fullEta"] = "summed RecHits energy fraction EE vs. FH+BH"
histXTitles["SimClus_pt"] = "SimCluster p_{T} [GeV]"
histXTitles["SimClus_energy"] = "SimCluster E [GeV]"
histXTitles["RecHits_layers_delta_x_RecHitsClusMaxLayer"] = "layer"
histXTitles["RecHits_layers_delta_y_RecHitsClusMaxLayer"] = "layer"
histXTitles["RecHits_layers_delta_d_RecHitsClusMaxLayer"] = "layer"
histXTitles["RecHits_layers_delta_x_eWeight_RecHitsClusMaxLayer"] = "layer"
histXTitles["RecHits_layers_delta_y_eWeight_RecHitsClusMaxLayer"] = "layer"
histXTitles["RecHits_layers_delta_d_eWeight_RecHitsClusMaxLayer"] = "layer"
histXTitles["RecHits_layers_delta_d2_eWeight_RecHitsClusMaxLayer"] = "layer"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_all"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_EE"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_BH"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH+BH"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_EE"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_BH"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH+BH"] = "radius [mm]"
#
histXTitles["RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_EE"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_FH"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_BH"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer_FH+BH"] = "radius [mm]"
#
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_SimCluster_all"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_SimCluster_EE"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_SimCluster_FH"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_SimCluster_BH"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_frac_energy_SimCluster_FH+BH"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_all"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_EE"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_BH"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_RecHitsClusFirstLayer_FH+BH"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_EE"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_BH"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_RecHitsClusMaxLayer_FH+BH"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_SimCluster_all"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_SimCluster_EE"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_SimCluster_FH"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_SimCluster_BH"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_frac_energy_SimCluster_FH+BH"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_events_eFrac75_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_events_eFrac80_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_events_eFrac85_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_events_eFrac90_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["RecHitsClusVsRecHits_radius_events_eFrac95_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_events_eFrac75_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_events_eFrac80_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_events_eFrac85_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_events_eFrac90_RecHitsClusMaxLayer_all"] = "radius [mm]"
histXTitles["SimVsRecHits_radius_events_eFrac95_RecHitsClusMaxLayer_all"] = "radius [mm]"
fileDict = {}
selectedEvents = {}
for sampleName in samples2plot:
fileDict[sampleName] = ROOT.TFile.Open("%s/%s.root" % (inDir, sampleName))
selectedEventsHist = fileDict[sampleName].Get("selectedEvents")
selectedEvents[sampleName] = selectedEventsHist.GetBinContent(1)
firstPlot = True
myLegend = ROOT.TLegend(0.16, 0.75, 0.48, 0.95)
myLegend.SetBorderSize(0)
myLegend.SetFillStyle(0)
ROOT.gStyle.SetPadTopMargin(0.05)
ROOT.gStyle.SetPadBottomMargin(0.13)
ROOT.gStyle.SetPadLeftMargin(0.16)
ROOT.gStyle.SetPadRightMargin(0.02)
c = ROOT.TCanvas("c", "c", 500, 500)
printMeanRMS = False
for hist in histList2D:
print "Plotting", hist
histDict2D = {}
histStackpfX = ROOT.THStack("%s_stack_pfX" % hist, "")
histStackpjX = ROOT.THStack("%s_stack_pjX" % hist, "")
histStackpfY = ROOT.THStack("%s_stack_pfY" % hist, "")
histStackpjY = ROOT.THStack("%s_stack_pjY" % hist, "")
maxYprojX = 0
maxYprojY = 0
meanVecPfX = {}
meanVecPjX = {}
meanVecPfY = {}
meanVecPjY = {}
rmsVecPfX = {}
rmsVecPjX = {}
rmsVecPfY = {}
rmsVecPjY = {}
for sampleName in samples2plot:
histDict2D[hist] = fileDict[sampleName].Get(hist).Clone("%s_%s" % (hist, sampleName))
if ((hist.find("RecHitsClus_layers") >= 0) or (hist.find("fracEvents_") >= 0) or (hist.find("layers_N") >= 0) or (hist.find("radius_frac_energy") >=0) or (hist.find("radius_events_eFrac") >= 0)):
# divide by number of selected SimClusters/events
histDict2D[hist].Scale(1./selectedEvents[sampleName])
profileX = histDict2D[hist].ProfileX("%s_%s_pfX" % (sampleName, hist))
profileX.SetMarkerColor(sampleColours[sampleName])
profileX.SetLineColor(sampleColours[sampleName])
profileX.SetMarkerStyle(sampleMarkerStyle[sampleName])
meanVecPfX[sampleName] = profileX.GetMean()
rmsVecPfX[sampleName] = profileX.GetRMS()
projX = histDict2D[hist].ProjectionX("%s_%s_pjX" % (sampleName, hist))
projX.SetMarkerColor(sampleColours[sampleName])
projX.SetLineColor(sampleColours[sampleName])
projX.SetMarkerStyle(sampleMarkerStyle[sampleName])
meanVecPjX[sampleName] = projX.GetMean()
rmsVecPjX[sampleName] = projX.GetRMS()
# and y
profileY = histDict2D[hist].ProfileY("%s_%s_pfY" % (sampleName, hist))
profileY.SetMarkerColor(sampleColours[sampleName])
profileY.SetLineColor(sampleColours[sampleName])
profileY.SetMarkerStyle(sampleMarkerStyle[sampleName])
meanVecPfY[sampleName] = profileY.GetMean()
rmsVecPfY[sampleName] = profileY.GetRMS()
projY = histDict2D[hist].ProjectionY("%s_%s_pjY" % (sampleName, hist))
projY.SetMarkerColor(sampleColours[sampleName])
projY.SetLineColor(sampleColours[sampleName])
projY.SetMarkerStyle(sampleMarkerStyle[sampleName])
meanVecPjY[sampleName] = projY.GetMean()
rmsVecPjY[sampleName] = projY.GetRMS()
if projX.GetMaximum() > maxYprojX:
maxYprojX = projX.GetMaximum()
projY.Scale(1./projY.Integral())
if projY.GetMaximum() > maxYprojY:
maxYprojY = projY.GetMaximum()
if firstPlot:
myLegend.AddEntry(profileX, sampleLabels[sampleName], "p")
for bin in range(0, profileX.GetNbinsX()+1):
profileX.SetBinError(bin, 0.)
for bin in range(0, profileY.GetNbinsX()+1):
profileY.SetBinError(bin, 0.)
histStackpfX.Add(profileX)
histStackpjX.Add(projX)
histStackpfY.Add(profileY)
histStackpjY.Add(projY)
# draw profileX
histStackpfX.Draw("nostack,hist,p")
if (hist.find("layer") >= 0):
printMeanRMS = False
histStackpfX.GetXaxis().SetTitle("layer")
else:
printMeanRMS = True
histStackpfX.GetXaxis().SetTitle(histXTitles[hist])
histStackpfX.GetYaxis().SetTitle(histYTitles[hist])
histStackpfX.GetYaxis().SetTitleOffset(histStackpfX.GetYaxis().GetTitleOffset()*1.95)
myLegend.Draw()
if printMeanRMS:
tBox = ROOT.TLatex()
tBox.SetTextSize(0.03)
tBox.SetTextFont(42)
for index in range(len(samples2plot)):
tBox.DrawLatexNDC(0.5, 0.9-index*0.04, "mean: %5.2f, RMS: %5.2f" % (meanVecPfX[samples2plot[index]], rmsVecPfX[samples2plot[index]]))
firstPlot = False
c.SaveAs("%s/%s_pfX.pdf" % (outDir, hist))
# draw projectionX
meanVec = {}
rmsVec = {}
histStackpjX.Draw("nostack,hist,p")
if (hist.find("layer") >= 0):
histStackpjX.GetXaxis().SetTitle("layer")
else:
histStackpjX.GetXaxis().SetTitle(histXTitles[hist])
histStackpjX.SetMaximum(maxYprojX*1.2)
histStackpjX.GetYaxis().SetTitle(histYTitles[hist])
histStackpjX.GetYaxis().SetTitleOffset(histStackpjX.GetYaxis().GetTitleOffset()*1.95)
myLegend.Draw()
if printMeanRMS:
tBox = ROOT.TLatex()
tBox.SetTextSize(0.03)
tBox.SetTextFont(42)
for index in range(len(samples2plot)):
tBox.DrawLatexNDC(0.5, 0.9-index*0.04, "mean: %5.2f, RMS: %5.2f" % (meanVecPjX[samples2plot[index]], rmsVecPjX[samples2plot[index]]))
c.SaveAs("%s/%s_pjX.pdf" % (outDir, hist))
# and y
histStackpfY.Draw("nostack,hist,p")
histStackpfY.GetXaxis().SetTitle(histYTitles[hist])
# histStackpfY.SetMaximum(maxYprojY*1.2)
histStackpfY.GetYaxis().SetTitle("entries")
histStackpfY.GetYaxis().SetTitleOffset(histStackpfY.GetYaxis().GetTitleOffset()*1.95)
myLegend.Draw()
if printMeanRMS:
tBox = ROOT.TLatex()
tBox.SetTextSize(0.03)
tBox.SetTextFont(42)
for index in range(len(samples2plot)):
tBox.DrawLatexNDC(0.5, 0.9-index*0.04, "mean: %5.2f, RMS: %5.2f" % (meanVecPjX[samples2plot[index]], rmsVecPjX[samples2plot[index]]))
c.SaveAs("%s/%s_pfY.pdf" % (outDir, hist))
histStackpjY.Draw("nostack,hist,p")
histStackpjY.GetXaxis().SetTitle(histYTitles[hist])
histStackpjY.SetMaximum(maxYprojY*1.2)
histStackpjY.GetYaxis().SetTitle("a.u. (unit area)")
histStackpjY.GetYaxis().SetTitleOffset(histStackpjY.GetYaxis().GetTitleOffset()*1.95)
myLegend.Draw()
if printMeanRMS:
tBox = ROOT.TLatex()
tBox.SetTextSize(0.03)
tBox.SetTextFont(42)
for index in range(len(samples2plot)):
tBox.DrawLatexNDC(0.5, 0.9-index*0.04, "mean: %5.2f, RMS: %5.2f" % (meanVecPjX[samples2plot[index]], rmsVecPjX[samples2plot[index]]))
c.SaveAs("%s/%s_pjY.pdf" % (outDir, hist))
histStackpfX.Delete()
histStackpjX.Delete()
histStackpfY.Delete()
histStackpjY.Delete()
profileX.Reset()
projX.Reset()
profileY.Reset()
projY.Reset()
for hist in histList1D:
histDict1D = {}
histStack = ROOT.THStack("%s_stack" % hist, "")
maxY = 0
meanVec = {}
rmsVec = {}
keysToFind = ["RecHitsClus_layers", "fracEvents_", "layers_N", "radius_frac_energy", "radius_events_eFrac", "layers_delta_d2_eWeight"]
for sampleName in samples2plot:
histDict1D[hist] = fileDict[sampleName].Get(hist).Clone("%s%s" % (hist, sampleName))
for findKey in keysToFind:
if (hist.find(findKey) >= 0):
# divide by number of selected SimClusters/events
histDict1D[hist].Scale(1./selectedEvents[sampleName])
# make sure to only divide once
break
if (hist.find("RecHitsClusVsRecHits_radius_energy_RecHitsClusMaxLayer") >= 0):
divideHist = fileDict[sampleName].Get(hist.replace("radius", "total")).Clone("%s%s" % (hist.replace("radius", "total"), sampleName))
histDict1D[hist].Divide(divideHist)
histDict1D[hist].SetMarkerColor(sampleColours[sampleName])
histDict1D[hist].SetLineColor(sampleColours[sampleName])
histDict1D[hist].SetMarkerStyle(sampleMarkerStyle[sampleName])
meanVec[sampleName] = histDict1D[hist].GetMean()
rmsVec[sampleName] = histDict1D[hist].GetRMS()
if histDict1D[hist].GetMaximum() > maxY:
maxY = histDict1D[hist].GetMaximum()
if firstPlot:
myLegend.AddEntry(histDict1D[hist], sampleLabels[sampleName], "p")
for bin in range(0, histDict1D[hist].GetNbinsX()+1):
histDict1D[hist].SetBinError(bin, 0.)
histStack.Add(histDict1D[hist])
histStack.Draw("nostack,hist,p")
histStack.SetMaximum(maxY*1.2)
if (hist.find("layer") >= 0):
printMeanRMS = False
histStack.GetXaxis().SetTitle("layer")
else:
printMeanRMS = True
histStack.GetXaxis().SetTitle(histXTitles[hist])
histStack.GetYaxis().SetTitle(histYTitles[hist])
histStack.GetYaxis().SetTitleOffset(histStack.GetYaxis().GetTitleOffset()*1.95)
myLegend.Draw()
if printMeanRMS:
tBox = ROOT.TLatex()
tBox.SetTextSize(0.03)
tBox.SetTextFont(42)
for index in range(len(samples2plot)):
tBox.DrawLatexNDC(0.5, 0.9-index*0.04, "mean: %5.2f, RMS: %5.2f" % (meanVec[samples2plot[index]], rmsVec[samples2plot[index]]))
firstPlot = False
c.SaveAs("%s/%s.pdf" % (outDir, hist))
if __name__ == '__main__':
main()