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ExtendedSourceBkgTemplate.py
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ExtendedSourceBkgTemplate.py
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import ROOT
import sys,os
import array
from math import *
from ROOT import *
from array import *
import runlist
from runlist import *
ROOT.gStyle.SetOptStat(0)
ROOT.TH1.SetDefaultSumw2()
ROOT.gStyle.SetPaintTextFormat("0.3f")
Hist_TelElev_Counts = TH1D("Hist_TelElev_Counts","",45,0,90)
Hist_TelElev_Counts_target = TH1D("Hist_TelElev_Counts_target","",18,0,90)
Hist_TelElev_Counts_source = TH1D("Hist_TelElev_Counts_source","",18,0,90)
Hist_TelElev_Counts_scale = TH1D("Hist_TelElev_Counts_scale","",18,0,90)
def set_histStyle( hist , color):
hist.SetFillColor(color)
#hist.SetLineColor(1)
hist.SetLineColor(color)
hist.SetMarkerColor(color)
hist.SetFillStyle(1001)
pass
def MakeStackPlot(Hist_Data,Hist_CR,Hist_ES,Hist_Fake,Hist_Ring,title):
c_both = ROOT.TCanvas("c_both","c both", 200, 10, 600, 600)
pad3 = ROOT.TPad("pad3","pad3",0,0.8,1,1)
pad3.SetBottomMargin(0.0)
pad3.SetTopMargin(0.03)
pad3.SetBorderMode(1)
pad1 = ROOT.TPad("pad1","pad1",0,0.3,1,0.8)
pad1.SetBottomMargin(0.0)
pad1.SetTopMargin(0.0)
pad1.SetBorderMode(0)
pad2 = ROOT.TPad("pad2","pad2",0,0,1,0.3)
pad2.SetBottomMargin(0.39)
pad2.SetTopMargin(0.0)
pad2.SetBorderMode(0)
pad2.Draw()
pad1.Draw()
pad3.Draw()
pad1.cd()
Hist_Data.SetLineColor(1)
Hist_Data.SetLineWidth(3)
set_histStyle( Hist_CR , 30)
set_histStyle( Hist_ES , 38)
stack = ROOT.THStack("stack", "")
stack.Add( Hist_CR )
stack.Add( Hist_ES )
if Hist_Data.GetMaximum()>stack.GetMaximum():
Hist_Data.Draw("E")
else:
stack.Draw("hist")
stack.Draw("hist same")
Hist_Data.Draw("E same")
#Hist_Fake.SetLineColor(9)
#Hist_Fake.Draw("E same")
if not Hist_Ring.Integral()==0:
Hist_Ring.SetLineColor(2)
Hist_Ring.SetLineWidth(2)
Hist_Ring.SetLineStyle(2)
Hist_Ring.Draw("E same")
Hist_All = Hist_CR.Clone()
Hist_All.Add(Hist_ES)
Hist_All.SetFillColor(kBlack)
Hist_All.SetFillStyle(3004)
Hist_All.SetMarkerSize(0)
Hist_All.Draw("e2 same")
pad3.cd()
legend = ROOT.TLegend(0.55,0.1,0.94,0.9)
legend.SetTextFont(42)
legend.SetBorderSize(0)
legend.SetTextSize(0.2)
legend.SetFillColor(0)
legend.SetFillStyle(0)
legend.SetLineColor(0)
legend.Clear()
legend.AddEntry(Hist_Data,'Data at low alt.',"pl")
legend.AddEntry(Hist_CR,'Hadron',"f")
legend.AddEntry(Hist_ES,'e + others',"f")
#legend.AddEntry(Hist_Fake,'e/#gamma contamin.',"pl")
if not Hist_Ring.Integral()==0:
legend.AddEntry(Hist_Ring,'Ring model',"pl")
legend.Draw("SAME")
lumilab1 = ROOT.TLatex(0.15,0.75,' ' )
lumilab1.SetNDC()
lumilab1.SetTextSize(0.15)
lumilab1.Draw()
lumilab2 = ROOT.TLatex(0.15,0.6,'%0.2f < Tel elev. < %0.2f'%(Elev_cut_lower,Elev_cut_upper) )
lumilab2.SetNDC()
lumilab2.SetTextSize(0.15)
lumilab2.Draw()
lumilab3 = ROOT.TLatex(0.15,0.45,'%0.2f < MSCL < %0.2f'%(MSCL_cut_lower,MSCL_cut_upper) )
lumilab3.SetNDC()
lumilab3.SetTextSize(0.15)
lumilab3.Draw()
lumilab4 = ROOT.TLatex(0.15,0.3,'%0.2f < Erec < %0.2f'%(Erec_cut_lower,Erec_cut_upper) )
lumilab4.SetNDC()
lumilab4.SetTextSize(0.15)
lumilab4.Draw()
#lumilab5 = ROOT.TLatex(0.15,0.15,'e/p = %0.2f +/- %0.2f'%(Ratio_ES2CR,Err_Ratio_ES2CR) )
#lumilab5.SetNDC()
#lumilab5.SetTextSize(0.15)
#lumilab5.Draw()
pad2.cd()
Hist_Band = Hist_All.Clone()
Hist_Band.Divide(Hist_All)
Hist_Band.SetFillColor(kBlack)
Hist_Band.SetFillStyle(3004)
Hist_Band.SetMarkerSize(0)
Hist_Band.GetXaxis().SetTitle(title)
Hist_Band.GetXaxis().SetTitleOffset(1.1)
Hist_Band.GetXaxis().SetTitleSize(0.13)
Hist_Band.GetXaxis().SetLabelSize(0.1)
Hist_Band.GetYaxis().SetLabelSize(0.1)
Hist_Band.GetYaxis().SetTitleOffset(0.3)
Hist_Band.GetYaxis().SetTitle("Data/Bkg")
Hist_Band.GetYaxis().SetTitleSize(0.13)
Hist_Band.SetMaximum(2.5)
Hist_Band.SetMinimum(0)
Hist_Band.Draw("e2")
Hist_Ratio = Hist_Data.Clone()
Hist_Ratio.Divide(Hist_All)
Hist_Ratio.Draw("E same")
if title=='Erec':
pad1.SetLogy()
pad1.SetLogx()
pad2.SetLogx()
c_both.SaveAs('output/%s_%s.pdf'%(title,tag))
pad1.SetLogy(0)
pad1.SetLogx(0)
pad2.SetLogx(0)
def CommonSelection(tree):
#if (tree.theta2>3.0): return False
if (tree.MSCL<MSCL_cut_lower): return False
if (tree.MSCL>MSCL_cut_upper): return False
if (tree.Erec<Erec_cut_lower): return False
if (tree.Erec>Erec_cut_upper): return False
return True
def ControlRegionHeightSelection(tree,elev):
# best
#width = 3.
#if elev>60:
# mean_height = 10.
# cut_upper = mean_height+width
# cut_lower = mean_height-width
#else:
# mean_height = -0.5*(elev-20.)+30
# cut_upper = mean_height+(width+(mean_height-10.)*0.15)
# cut_lower = mean_height-(width+(mean_height-10.)*0.15)
# best
#cut_upper = 3.0+10.+10.*pow((elev-90)/47.,4)-(1+log10(tree.Erec))
#cut_lower = -3.0+10.+10.*pow((elev-90)/53.,4)-(1+log10(tree.Erec))
cut_upper = 3.5+10.+10.*pow((elev-90)/47.,4)
cut_lower = -3.5+10.+10.*pow((elev-90)/53.,4)
if Height_cut=='simple3':
cut_upper = 10.+3.
cut_lower = 0.
if Height_cut=='simple6':
cut_upper = 10.+6.
cut_lower = 0.
if Height_cut=='simple9':
cut_upper = 10.+9.
cut_lower = 0.
if (tree.EmissionHeight<cut_upper and tree.EmissionHeight>cut_lower): return False
return True
def FillReweightingHistogram(source,region,run,data_type):
if data_type=='anasum':
if source == 'Crab':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == 'PKS1424':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/PKS1424_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == '3C264':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/3C264_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if region == 'on':
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(run))
ring_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
else:
anasum_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
else:
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/analysis/Results/%s.mscw.root"%(run))
anasum_tree = anasum_file.Get("data")
pointing_tree = anasum_file.Get("data")
pointing_tree.GetEntry(0)
time_begin = pointing_tree.Time
pointing_tree.GetEntry(pointing_tree.GetEntries()-1)
time_end = pointing_tree.Time
hist_Ele_vs_time = ROOT.TProfile("hist_Ele_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
hist_Azi_vs_time = ROOT.TProfile("hist_Azi_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),-400,400)
for i in range(0,pointing_tree.GetEntries()):
pointing_tree.GetEntry(i)
hist_Ele_vs_time.Fill(pointing_tree.Time,pointing_tree.TelElevation)
hist_Azi_vs_time.Fill(pointing_tree.Time,pointing_tree.TelAzimuth)
for i in range(0,anasum_tree.GetEntries()):
anasum_tree.GetEntry(i)
if not CommonSelection(anasum_tree): continue
if (anasum_tree.MSCW<3): continue
elevation = hist_Ele_vs_time.GetBinContent(hist_Ele_vs_time.FindBin(anasum_tree.Time))
azimuth = hist_Azi_vs_time.GetBinContent(hist_Azi_vs_time.FindBin(anasum_tree.Time))
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if ControlRegionHeightSelection(anasum_tree,elevation):
Hist_TelElev_Control.Fill(elevation)
Hist_MSCL_Control.Fill(anasum_tree.MSCL)
Hist_Erec_Control.Fill(anasum_tree.Erec)
else:
Hist_TelElev_Signal.Fill(elevation)
Hist_MSCL_Signal.Fill(anasum_tree.MSCL)
Hist_Erec_Signal.Fill(anasum_tree.Erec)
#print Hist_TelElev_Control.Print('All')
def FillHistBkgElectron(run,scale_data_MC):
input_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/analysis/Results/%s.mscw.root"%(run))
tree = input_file.Get("data")
total_entries = tree.GetEntries()
total_entries = int(float(tree.GetEntries())/10.)
for i in range(0,total_entries):
tree.GetEntry(i)
if not CommonSelection(tree): continue
if not ControlRegionHeightSelection(tree,90.):
scale = scale_data_MC
Hist_MSCW_ES.Fill((tree.MSCW+1.0),scale)
Hist_Erec_ES.Fill(tree.Erec,scale)
def GetSourceElevation(run):
if source == 'Crab':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == 'PKS1424':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/PKS1424_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == '3C264':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/3C264_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
for i in range(0,pointing_tree.GetEntries()):
pointing_tree.GetEntry(i)
Hist_TelElev_Counts_source.Fill(pointing_tree.TelElevation)
def GetTargetElevation(run):
if target == 'Crab':
target_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if target == 'PKS1424':
target_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/PKS1424_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if target == '3C264':
target_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/3C264_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
target_pointing_tree = target_file.Get("run_%s/stereo/pointingDataReduced"%(run))
for i in range(0,target_pointing_tree.GetEntries()):
target_pointing_tree.GetEntry(i)
Hist_TelElev_Counts_target.Fill(target_pointing_tree.TelElevation)
def GetAnttenuation(source,region,run,data_type):
if data_type=='anasum':
if source == 'Crab':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == 'PKS1424':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/PKS1424_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == '3C264':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/3C264_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if region == 'on':
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(run))
ring_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
else:
anasum_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
else:
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/analysis/Results/%s.mscw.root"%(run))
anasum_tree = anasum_file.Get("data")
pointing_tree = anasum_file.Get("data")
pointing_tree.GetEntry(0)
time_begin = pointing_tree.Time
pointing_tree.GetEntry(pointing_tree.GetEntries()-1)
time_end = pointing_tree.Time
hist_Ele_vs_time = ROOT.TProfile("hist_Ele_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
hist_Azi_vs_time = ROOT.TProfile("hist_Azi_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),-400,400)
for i in range(0,pointing_tree.GetEntries()):
pointing_tree.GetEntry(i)
hist_Ele_vs_time.Fill(pointing_tree.Time,pointing_tree.TelElevation)
hist_Azi_vs_time.Fill(pointing_tree.Time,pointing_tree.TelAzimuth)
for i in range(0,anasum_tree.GetEntries()):
anasum_tree.GetEntry(i)
if not CommonSelection(anasum_tree): continue
elevation = hist_Ele_vs_time.GetBinContent(hist_Ele_vs_time.FindBin(anasum_tree.Time))
azimuth = hist_Azi_vs_time.GetBinContent(hist_Azi_vs_time.FindBin(anasum_tree.Time))
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
scale = Hist_TelElev_Counts_scale.GetBinContent(Hist_TelElev_Counts_scale.FindBin(elevation))
if ControlRegionHeightSelection(anasum_tree,elevation):
if region == 'on':
Hist_OnData_Control.Fill(anasum_tree.MSCW,scale)
else:
Hist_OffData_Control.Fill(anasum_tree.MSCW,scale)
else:
if region == 'on':
Hist_OnData_Signal.Fill(anasum_tree.MSCW,scale)
else:
Hist_OffData_Signal.Fill(anasum_tree.MSCW,scale)
def SingleRunAnalysis(source,region,run,data_type):
global N_GammaMC_Fake
global N_GammaData_Fake
global N_GammaMC_ES
global N_GammaData_ES
if data_type=='anasum':
if source == 'Crab':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == 'PKS1424':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/PKS1424_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == '3C264':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/3C264_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if region == 'on':
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(run))
ring_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
else:
anasum_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
else:
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/analysis/Results/%s.mscw.root"%(run))
anasum_tree = anasum_file.Get("data")
pointing_tree = anasum_file.Get("data")
if not source=="MC":
pointing_tree.GetEntry(0)
time_begin = pointing_tree.Time
pointing_tree.GetEntry(pointing_tree.GetEntries()-1)
time_end = pointing_tree.Time
hist_Ele_vs_time = ROOT.TProfile("hist_Ele_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
hist_Azi_vs_time = ROOT.TProfile("hist_Azi_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),-400,400)
for i in range(0,pointing_tree.GetEntries()):
pointing_tree.GetEntry(i)
hist_Ele_vs_time.Fill(pointing_tree.Time,pointing_tree.TelElevation)
hist_Azi_vs_time.Fill(pointing_tree.Time,pointing_tree.TelAzimuth)
#print Hist_TelElev_RW_Factor.Print("All")
for i in range(0,anasum_tree.GetEntries()):
anasum_tree.GetEntry(i)
elevation = hist_Ele_vs_time.GetBinContent(hist_Ele_vs_time.FindBin(anasum_tree.Time))
azimuth = hist_Azi_vs_time.GetBinContent(hist_Azi_vs_time.FindBin(anasum_tree.Time))
Hist_TelElev_Counts.Fill(elevation)
if not CommonSelection(anasum_tree): continue
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if (anasum_tree.MSCW<1 and anasum_tree.MSCL<1):
TProf_TelElev_vs_EmissionHeight_Data.Fill(elevation,anasum_tree.EmissionHeight)
Hist2D_TelElev_vs_EmissionHeight_Data.Fill(elevation,anasum_tree.EmissionHeight)
Hist2D_TelElev_vs_EmissionHeight_Data_All.Fill(elevation,anasum_tree.EmissionHeight)
Hist2D_Erec_vs_EmissionHeight_Data.Fill(anasum_tree.Erec,anasum_tree.EmissionHeight)
scale = 1
#scale = scale*Hist_TelElev_RW_Factor.GetBinContent(Hist_TelElev_RW_Factor.FindBin(elevation))
#scale = scale*Hist_MSCL_RW_Factor.GetBinContent(Hist_MSCL_RW_Factor.FindBin(anasum_tree.MSCL))
scale = scale*Hist_Erec_RW_Factor.GetBinContent(Hist_Erec_RW_Factor.FindBin(anasum_tree.Erec))
if RW_method=='NoRW':
scale = 1
if ControlRegionHeightSelection(anasum_tree,elevation):
Hist_MSCW_CR.Fill(anasum_tree.MSCW,scale)
Hist_MSCW_CR_Raw.Fill(anasum_tree.MSCW,1.)
Hist_Erec_CR.Fill(anasum_tree.Erec,scale)
Hist_Erec_CR_Raw.Fill(anasum_tree.Erec,1.)
Hist2D_MSCW_vs_EmissionHeight_Data.Fill(anasum_tree.MSCW,anasum_tree.EmissionHeight,scale)
if (anasum_tree.MSCW<Fake_cut_MSCW and anasum_tree.MSCL<Fake_cut_MSCL):
N_GammaData_Fake += scale
else:
Hist_MSCW_Data.Fill(anasum_tree.MSCW)
Hist_Erec_Data.Fill(anasum_tree.Erec)
Hist2D_MSCW_vs_EmissionHeight_Data.Fill(anasum_tree.MSCW,anasum_tree.EmissionHeight)
N_GammaData_ES += 1.0
else:
total_entries = anasum_tree.GetEntries()
total_entries = int(float(anasum_tree.GetEntries())/10.)
for i in range(0,total_entries):
anasum_tree.GetEntry(i)
if not CommonSelection(anasum_tree): continue
if ControlRegionHeightSelection(anasum_tree,90.):
if ((anasum_tree.MSCW+1.0)<Fake_cut_MSCW and anasum_tree.MSCL<Fake_cut_MSCL):
N_GammaMC_Fake += 1
else:
Hist_MSCW_ES_Raw.Fill(anasum_tree.MSCW+1.0)
Hist_Erec_ES_Raw.Fill(anasum_tree.Erec)
if region == 'on':
for i in range(0,ring_tree.GetEntries()):
ring_tree.GetEntry(i)
if not CommonSelection(ring_tree): continue
#if (ring_tree.MSCW<3): continue
elevation = hist_Ele_vs_time.GetBinContent(hist_Ele_vs_time.FindBin(ring_tree.Time))
azimuth = hist_Azi_vs_time.GetBinContent(hist_Azi_vs_time.FindBin(ring_tree.Time))
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if not ControlRegionHeightSelection(ring_tree,elevation):
Hist_MSCW_Ring.Fill(ring_tree.MSCW)
Hist_Erec_Ring.Fill(ring_tree.Erec)
def RunExtendedSourceAnalysis(e2p_ratio,CR_attenu,gamma_attenu):
if source == 'Crab':
for run in Crab_runlist:
FillReweightingHistogram('Crab',field,run,'anasum')
if source == 'PKS1424':
for run in PKS1424_runlist:
FillReweightingHistogram('PKS1424',field,run,'anasum')
if source == '3C264':
for run in runlist_3C264:
FillReweightingHistogram('3C264',field,run,'anasum')
for b in range(0,Hist_TelElev_RW_Factor.GetNbinsX()):
Hist_TelElev_RW_Factor.SetBinContent(b+1,Hist_TelElev_Signal.GetBinContent(b+1))
Hist_TelElev_RW_Factor.SetBinError(b+1,Hist_TelElev_Signal.GetBinError(b+1))
Hist_TelElev_RW_Factor.Divide(Hist_TelElev_Control)
for b in range(0,Hist_MSCL_RW_Factor.GetNbinsX()):
Hist_MSCL_RW_Factor.SetBinContent(b+1,Hist_MSCL_Signal.GetBinContent(b+1))
Hist_MSCL_RW_Factor.SetBinError(b+1,Hist_MSCL_Signal.GetBinError(b+1))
Hist_MSCL_RW_Factor.Divide(Hist_MSCL_Control)
for b in range(0,Hist_Erec_RW_Factor.GetNbinsX()):
Hist_Erec_RW_Factor.SetBinContent(b+1,Hist_Erec_Signal.GetBinContent(b+1))
Hist_Erec_RW_Factor.SetBinError(b+1,Hist_Erec_Signal.GetBinError(b+1))
Hist_Erec_RW_Factor.Divide(Hist_Erec_Control)
if source == 'Crab':
for run in Crab_runlist:
SingleRunAnalysis('Crab',field,run,'anasum')
if source == 'PKS1424':
for run in PKS1424_runlist:
SingleRunAnalysis('PKS1424',field,run,'anasum')
if source == '3C264':
for run in runlist_3C264:
SingleRunAnalysis('3C264',field,run,'anasum')
Normalization_Factor = Hist_MSCW_Data.Integral(Hist_MSCW_Data.FindBin(3),Hist_MSCW_Data.FindBin(100))
Normalization_Factor = Normalization_Factor/Hist_MSCW_CR.Integral(Hist_MSCW_CR.FindBin(3),Hist_MSCW_CR.FindBin(100))
print 'Normalization_Factor = %s'%(Normalization_Factor)
Hist_MSCW_CR.Scale(Normalization_Factor)
Hist_Erec_CR.Scale(Normalization_Factor)
if field == 'on':
Normalization_Factor_Ring = Hist_MSCW_Data.Integral(Hist_MSCW_Data.FindBin(3),Hist_MSCW_Data.FindBin(100))
Normalization_Factor_Ring = Normalization_Factor_Ring/Hist_MSCW_Ring.Integral(Hist_MSCW_Ring.FindBin(3),Hist_MSCW_Ring.FindBin(100))
Hist_MSCW_Ring.Scale(Normalization_Factor_Ring)
Hist_Erec_Ring.Scale(Normalization_Factor_Ring)
#SingleRunAnalysis('MC','off',"20130",'mscw')
#N_Data_All = Hist_MSCW_Data.Integral()
#N_CR_All = Hist_MSCW_CR.Integral()
#N_ES_All = e2p_ratio*N_CR_All
#Scale_ES = N_ES_All/Hist_MSCW_ES_Raw.Integral()
#if Add_Electron=='NoEle':
# Scale_ES = 0
#FillHistBkgElectron("20130",Scale_ES)
#N_signal (number of events in signal region) = N_egamma + N_CR
#N_control (number of events in control region) = a*N_egamma + b*N_CR, a = gamma attenuation, b = CR attenuation
#N_control - b*N_signal = (a-b)*N_egamma
#N_egamma = (N_control-b*N_signal)/(a-b)
#N_CR = N_signal-N_egamma
if not Fake_Removal=='NoFakeRemoved':
#CR_attenu = Hist_MSCW_CR_Raw.Integral(Hist_MSCW_CR_Raw.FindBin(3),Hist_MSCW_CR_Raw.FindBin(100))
#CR_attenu = CR_attenu/Hist_MSCW_Data.Integral(Hist_MSCW_Data.FindBin(3),Hist_MSCW_Data.FindBin(100))
#for b in range(0,Hist_MSCW_CR_Raw.GetNbinsX()):
for b in range(Hist_MSCW_CR_Raw.FindBin(-2.5),Hist_MSCW_CR_Raw.FindBin(2.5)):
N_egamma = (Hist_MSCW_CR_Raw.GetBinContent(b+1)-CR_attenu*Hist_MSCW_Data.GetBinContent(b+1))
N_egamma = N_egamma/(gamma_attenu-CR_attenu)
if N_egamma>0:
#Hist_MSCW_CR.SetBinContent(b+1,(Hist_MSCW_Data.GetBinContent(b+1)-N_egamma)*Normalization_Factor)
Hist_MSCW_CR.SetBinContent(b+1,max(0,Hist_MSCW_Data.GetBinContent(b+1)-N_egamma))
Hist_MSCW_Fake.SetBinContent(b+1,N_egamma*gamma_attenu*Normalization_Factor)
#Hist_MSCW_CR.Add(Hist_MSCW_Fake,-1.)
for b in range(0,Hist_Erec_CR_Raw.GetNbinsX()):
N_egamma = (Hist_Erec_CR_Raw.GetBinContent(b+1)-CR_attenu*Hist_Erec_Data.GetBinContent(b+1))
N_egamma = N_egamma/(gamma_attenu-CR_attenu)
if N_egamma>0:
#Hist_Erec_CR.SetBinContent(b+1,(Hist_Erec_Data.GetBinContent(b+1)-N_egamma)*Normalization_Factor)
Hist_Erec_CR.SetBinContent(b+1,max(0,Hist_Erec_Data.GetBinContent(b+1)-N_egamma))
Hist_Erec_Fake.SetBinContent(b+1,N_egamma*gamma_attenu*Normalization_Factor)
#Hist_Erec_CR.Add(Hist_Erec_Fake,-1.)
SingleRunAnalysis('MC','off',"20130",'mscw')
N_Data_All = Hist_MSCW_Data.Integral()
N_CR_All = Hist_MSCW_CR.Integral()
N_ES_All = e2p_ratio*N_CR_All
Scale_ES = N_ES_All/Hist_MSCW_ES_Raw.Integral()
if Add_Electron=='NoEle':
Scale_ES = 0
FillHistBkgElectron("20130",Scale_ES)
MakeStackPlot(Hist_MSCW_Data,Hist_MSCW_CR,Hist_MSCW_ES,Hist_MSCW_Fake,Hist_MSCW_Ring,'MSCW')
#MakeStackPlot(Hist_Erec_Data,Hist_Erec_CR,Hist_Erec_ES,Hist_Erec_Fake,Hist_Erec_Ring,'Erec')
Hist_MSCW_Data_Sum.Add(Hist_MSCW_Data)
Hist_MSCW_Ring_Sum.Add(Hist_MSCW_Ring)
Hist_MSCW_Fake_Sum.Add(Hist_MSCW_Fake)
Hist_MSCW_ES_Sum.Add(Hist_MSCW_ES)
Hist_MSCW_CR_Sum.Add(Hist_MSCW_CR)
Hist_Erec_Data_Sum.Add(Hist_Erec_Data)
Hist_Erec_Ring_Sum.Add(Hist_Erec_Ring)
Hist_Erec_Fake_Sum.Add(Hist_Erec_Fake)
Hist_Erec_ES_Sum.Add(Hist_Erec_ES)
Hist_Erec_CR_Sum.Add(Hist_Erec_CR)
canvas = ROOT.TCanvas("canvas","canvas", 200, 10, 600, 600)
#Hist2D_MSCW_vs_EmissionHeight_Data.GetYaxis().SetTitle('EmissionHeight')
#Hist2D_MSCW_vs_EmissionHeight_Data.GetXaxis().SetTitle('MSCW')
#Hist2D_MSCW_vs_EmissionHeight_Data.Draw("COL4Z")
#Hist2D_MSCW_vs_EmissionHeight_Data.SetLineColor(1)
#Hist2D_MSCW_vs_EmissionHeight_Data.Draw("CONT3 same")
#canvas.SetLogz()
#canvas.SaveAs('output/MSCW_vs_EmissionHeight_%s.pdf'%(tag))
Hist2D_TelElev_vs_EmissionHeight_Data.GetYaxis().SetTitle('EmissionHeight')
Hist2D_TelElev_vs_EmissionHeight_Data.GetXaxis().SetTitle('Tel. elevation')
Hist2D_TelElev_vs_EmissionHeight_Data.Draw("COL4Z")
for b in range(0,Hist1D_TelElev_vs_EmissionHeight_Data.GetNbinsX()):
hist_temp = Hist2D_TelElev_vs_EmissionHeight_Data.ProjectionY("hist_temp",b+1,b+1)
Hist1D_TelElev_vs_EmissionHeight_Data.SetBinContent(b+1,hist_temp.GetMean())
Hist1D_TelElev_vs_EmissionHeight_Data.SetBinError(b+1,hist_temp.GetRMS())
Hist1D_TelElev_vs_EmissionHeight_Data.Draw("E same")
f_cut_mean = ROOT.TF1("f_cut_mean","10.+10.*pow((x-90)/50.,4)",0,90)
f_cut_mean.SetLineColor(2)
f_cut_mean.SetLineStyle(2)
f_cut_mean.Draw("same")
f_cut_upper = ROOT.TF1("f_cut_upper","3.0+10.+10.*pow((x-90)/47.,4)",0,90)
f_cut_upper.SetLineColor(2)
f_cut_upper.Draw("same")
f_cut_lower = ROOT.TF1("f_cut_lower","-3.0+10.+10.*pow((x-90)/53.,4)",0,90)
f_cut_lower.SetLineColor(2)
f_cut_lower.Draw("same")
canvas.SetLogz()
canvas.SaveAs('output/TelElev_vs_EmissionHeight_%s.pdf'%(tag))
#Hist2D_Erec_vs_EmissionHeight_Data.GetYaxis().SetTitle('EmissionHeight')
#Hist2D_Erec_vs_EmissionHeight_Data.GetXaxis().SetTitle('Erec')
#Hist2D_Erec_vs_EmissionHeight_Data.Draw("COL4Z")
#Hist2D_Erec_vs_EmissionHeight_Data.SetLineColor(1)
#Hist2D_Erec_vs_EmissionHeight_Data.Draw("CONT3 same")
#canvas.SetLogx()
#canvas.SetLogz()
#canvas.SaveAs('output/Erec_vs_EmissionHeight_%s.pdf'%(tag))
Hist_MSCW_CR.Reset()
Hist_MSCW_CR_Raw.Reset()
Hist_MSCW_Fake.Reset()
Hist_MSCW_ES.Reset()
Hist_MSCW_ES_Raw.Reset()
Hist_MSCW_Data.Reset()
Hist_MSCW_Ring.Reset()
Hist_Erec_CR.Reset()
Hist_Erec_CR_Raw.Reset()
Hist_Erec_Fake.Reset()
Hist_Erec_ES.Reset()
Hist_Erec_ES_Raw.Reset()
Hist_Erec_Data.Reset()
Hist_Erec_Ring.Reset()
Hist2D_MSCW_vs_EmissionHeight_Data.Reset()
TProf_TelElev_vs_EmissionHeight_Data.Reset()
Hist1D_TelElev_vs_EmissionHeight_Data.Reset()
Hist2D_TelElev_vs_EmissionHeight_Data.Reset()
Hist2D_Erec_vs_EmissionHeight_Data.Reset()
def MakeATag():
global tag
tag = ''
tag += '_Elev%sto%s'%(Elev_cut_lower,Elev_cut_upper)
tag += '_MSCL%sto%s'%(MSCL_cut_lower,MSCL_cut_upper)
tag += '_Erec%sto%s'%(Erec_cut_lower,Erec_cut_upper)
tag += '_'+Height_cut
tag += '_'+RW_method
tag += '_'+Add_Electron
tag += '_'+Fake_Removal
tag += '_'+source+'_'+field
def MeasureElectronComponent():
Rate_CR_Attenuation = 0
Err_Rate_CR_Attenuation = 0
Rate_Gamma_Attenuation = 0
Err_Rate_Gamma_Attenuation = 0
for run in Crab_runlist:
GetSourceElevation(run)
print Hist_TelElev_Counts_source.Print('All')
if target == 'Crab':
for run in Crab_runlist:
GetTargetElevation(run)
if target == 'PKS1424':
for run in PKS1424_runlist:
GetTargetElevation(run)
if target == '3C264':
for run in runlist_3C264:
GetTargetElevation(run)
print Hist_TelElev_Counts_target.Print('All')
for b in range(0,Hist_TelElev_Counts_scale.GetNbinsX()):
Hist_TelElev_Counts_scale.SetBinContent(b+1,Hist_TelElev_Counts_target.GetBinContent(b+1))
Hist_TelElev_Counts_scale.Divide(Hist_TelElev_Counts_source)
print Hist_TelElev_Counts_scale.Print('All')
for run in Crab_runlist:
GetAnttenuation('Crab','on',run,'anasum')
GetAnttenuation('Crab','off',run,'anasum')
Hist_TelElev_Counts_scale.Reset()
Hist_TelElev_Counts_source.Reset()
Hist_TelElev_Counts_target.Reset()
print 'Hist_OnData_Signal.GetEntries() = %s'%(Hist_OnData_Signal.GetEntries())
print 'Hist_OnData_Control.GetEntries() = %s'%(Hist_OnData_Control.GetEntries())
print 'Hist_OffData_Signal.GetEntries() = %s'%(Hist_OffData_Signal.GetEntries())
print 'Hist_OffData_Control.GetEntries() = %s'%(Hist_OffData_Control.GetEntries())
print 'Hist_OnData_Signal.Integral() = %s'%(Hist_OnData_Signal.Integral())
print 'Hist_OnData_Control.Integral() = %s'%(Hist_OnData_Control.Integral())
print 'Hist_OffData_Signal.Integral() = %s'%(Hist_OffData_Signal.Integral())
print 'Hist_OffData_Control.Integral() = %s'%(Hist_OffData_Control.Integral())
if Hist_OffData_Signal.GetBinContent(len(MSCW_Bin)-1)<10:
return 0,0,0,0,0,0
if Hist_OffData_Control.GetBinContent(len(MSCW_Bin)-1)<10:
return 0,0,0,0,0,0
Normalization_Factor_Signal = Hist_OnData_Signal.GetBinContent(len(MSCW_Bin)-1)
Normalization_Factor_Signal = Normalization_Factor_Signal/Hist_OffData_Signal.GetBinContent(len(MSCW_Bin)-1)
#print 'Normalization_Factor_Signal = %s'%(Normalization_Factor_Signal)
Normalization_Factor_Control = Hist_OnData_Control.GetBinContent(len(MSCW_Bin)-1)
Normalization_Factor_Control = Normalization_Factor_Control/Hist_OffData_Control.GetBinContent(len(MSCW_Bin)-1)
#print 'Normalization_Factor_Control = %s'%(Normalization_Factor_Control)
Hist_OffData_Signal.Scale(Normalization_Factor_Signal)
Hist_OffData_Control.Scale(Normalization_Factor_Signal)
for b in range(0,Hist_CR_Attenuation.GetNbinsX()):
Hist_CR_Attenuation.SetBinContent(b+1,Hist_OffData_Control.GetBinContent(b+1))
Hist_CR_Attenuation.SetBinError(b+1,Hist_OffData_Control.GetBinError(b+1))
Hist_CR_Attenuation.Divide(Hist_OffData_Signal)
Rate_CR_Attenuation = Hist_CR_Attenuation.GetBinContent(len(MSCW_Bin)-1)
Err_Rate_CR_Attenuation = Hist_CR_Attenuation.GetBinError(len(MSCW_Bin)-1)
print 'Rate_CR_Attenuation = %s +/- %s'%(Rate_CR_Attenuation,Err_Rate_CR_Attenuation)
for b in range(0,Hist_Gamma_Signal.GetNbinsX()):
Hist_Gamma_Signal.SetBinContent(b+1,Hist_OnData_Signal.GetBinContent(b+1))
Hist_Gamma_Signal.SetBinError(b+1,Hist_OnData_Signal.GetBinError(b+1))
Hist_Gamma_Signal.Add(Hist_OffData_Signal,-1)
for b in range(0,Hist_Gamma_Control.GetNbinsX()):
Hist_Gamma_Control.SetBinContent(b+1,Hist_OnData_Control.GetBinContent(b+1))
Hist_Gamma_Control.SetBinError(b+1,Hist_OnData_Control.GetBinError(b+1))
Hist_Gamma_Control.Add(Hist_OffData_Control,-1)
for b in range(0,Hist_Gamma_Attenuation.GetNbinsX()):
Hist_Gamma_Attenuation.SetBinContent(b+1,Hist_Gamma_Control.GetBinContent(b+1))
Hist_Gamma_Attenuation.SetBinError(b+1,Hist_Gamma_Control.GetBinError(b+1))
Hist_Gamma_Attenuation.Divide(Hist_Gamma_Signal)
Rate_Gamma_Attenuation = Hist_Gamma_Attenuation.GetBinContent(Hist_Gamma_Attenuation.FindBin(0.5))
Err_Rate_Gamma_Attenuation = Hist_Gamma_Attenuation.GetBinError(Hist_Gamma_Attenuation.FindBin(0.5))
print 'Rate_Gamma_Attenuation = %s +/- %s'%(Rate_Gamma_Attenuation,Err_Rate_Gamma_Attenuation)
#N_signal (number of events in signal region) = N_egamma + N_CR
#N_control (number of events in control region) = a*N_egamma + b*N_CR, a = gamma attenuation, b = CR attenuation
#N_control - b*N_signal = (a-b)*N_egamma
#N_egamma = (N_control-b*N_signal)/(a-b)
#N_CR = N_signal-N_egamma
for b in range(0,Hist_eGamma_Signal.GetNbinsX()):
Hist_eGamma_Signal.SetBinContent(b+1,Hist_OnData_Control.GetBinContent(b+1))
Hist_eGamma_Signal.SetBinError(b+1,Hist_OnData_Control.GetBinError(b+1))
Hist_eGamma_Signal.Add(Hist_OnData_Signal,-1.*Rate_CR_Attenuation)
Hist_eGamma_Signal.Scale(1./(Rate_Gamma_Attenuation-Rate_CR_Attenuation))
for b in range(0,Hist_eGamma_Signal.GetNbinsX()):
Hist_eGamma_Signal.SetBinContent(b+1,max(0.,Hist_eGamma_Signal.GetBinContent(b+1)))
print Hist_eGamma_Signal.Print("All")
for b in range(0,Hist_El_Signal.GetNbinsX()):
Hist_El_Signal.SetBinContent(b+1,Hist_OffData_Control.GetBinContent(b+1))
Hist_El_Signal.SetBinError(b+1,Hist_OffData_Control.GetBinError(b+1))
Hist_El_Signal.Add(Hist_OffData_Signal,-1.*Rate_CR_Attenuation)
Hist_El_Signal.Scale(1./(Rate_Gamma_Attenuation-Rate_CR_Attenuation))
for b in range(0,Hist_El_Signal.GetNbinsX()):
Hist_El_Signal.SetBinContent(b+1,max(0.,Hist_El_Signal.GetBinContent(b+1)))
print Hist_El_Signal.Print("All")
for b in range(0,Hist_CR_Signal.GetNbinsX()):
Hist_CR_Signal.SetBinContent(b+1,Hist_OffData_Signal.GetBinContent(b+1))
Hist_CR_Signal.SetBinError(b+1,Hist_OffData_Signal.GetBinError(b+1))
Hist_CR_Signal.Add(Hist_El_Signal,-1.)
for b in range(0,Hist_CR_Signal.GetNbinsX()):
Hist_CR_Signal.SetBinContent(b+1,max(0.,Hist_CR_Signal.GetBinContent(b+1)))
print Hist_CR_Signal.Print("All")
Err_N_CR = ROOT.Double(0.)
Err_N_El = ROOT.Double(0.)
N_CR = Hist_CR_Signal.IntegralAndError(1,Hist_CR_Signal.GetNbinsX(),Err_N_CR)
N_El = Hist_El_Signal.IntegralAndError(1,Hist_El_Signal.GetNbinsX(),Err_N_El)
#N_CR = Hist_CR_Signal.IntegralAndError(Hist_CR_Signal.FindBin(-0.5),Hist_CR_Signal.FindBin(1.5),Err_N_CR)
#N_El = Hist_El_Signal.IntegralAndError(Hist_El_Signal.FindBin(-0.5),Hist_El_Signal.FindBin(1.5),Err_N_El)
Hist_Nel_temp = TH1D("Hist_Nel_temp","",1,0,1)
Hist_Ncr_temp = TH1D("Hist_Ncr_temp","",1,0,1)
Hist_e2p_temp = TH1D("Hist_e2p_temp","",1,0,1)
Hist_Nel_temp.SetBinContent(1,N_El)
Hist_Nel_temp.SetBinError(1,Err_N_El)
Hist_Ncr_temp.SetBinContent(1,N_CR)
Hist_Ncr_temp.SetBinError(1,Err_N_CR)
Hist_e2p_temp = Hist_Nel_temp.Clone()
Hist_e2p_temp.Divide(Hist_Ncr_temp)
e2p_ratio_temp = Hist_e2p_temp.GetBinContent(1)
err_e2p_ratio_temp = Hist_e2p_temp.GetBinError(1)
#print 'OnData = %s'%(Hist_OnData_Signal.Integral(Hist_OnData_Signal.FindBin(-0.5),Hist_OnData_Signal.FindBin(1.5)))
#print 'OffData = %s'%(Hist_OffData_Signal.Integral(Hist_OffData_Signal.FindBin(-0.5),Hist_OffData_Signal.FindBin(1.5)))
print 'N_CR = %s +/- %s, N_EL = %s +/- %s'%(N_CR,Err_N_CR,N_El,Err_N_El)
print 'N_EL/N_CR = %s +/- %s'%(e2p_ratio_temp,err_e2p_ratio_temp)
Hist_OnData_Signal.Reset()
Hist_OnData_Control.Reset()
Hist_OffData_Signal.Reset()
Hist_OffData_Control.Reset()
Hist_Gamma_Signal.Reset()
Hist_Gamma_Control.Reset()
Hist_CR_Attenuation.Reset()
Hist_Gamma_Attenuation.Reset()
Hist_eGamma_Signal.Reset()
Hist_CR_Signal.Reset()
Hist_El_Signal.Reset()
return Rate_CR_Attenuation,Err_Rate_CR_Attenuation,Rate_Gamma_Attenuation,Err_Rate_Gamma_Attenuation,e2p_ratio_temp,err_e2p_ratio_temp
#TelElev_Bin = [0,10,20,30,40,50,90]
TelElev_Bin = [0,10,20,30,40,50,60,70,80,90]
Hist_TelElev_RW_Factor = TH1D("Hist_TelElev_RW_Factor","",len(TelElev_Bin)-1,array('d',TelElev_Bin))
Hist_TelElev_Signal = TH1D("Hist_TelElev_Signal","",len(TelElev_Bin)-1,array('d',TelElev_Bin))
Hist_TelElev_Control = TH1D("Hist_TelElev_Control","",len(TelElev_Bin)-1,array('d',TelElev_Bin))
MSCL_Bin = [-10,0,1,2,3,4,5,100]
Hist_MSCL_RW_Factor = TH1D("Hist_MSCL_RW_Factor","",len(MSCL_Bin)-1,array('d',MSCL_Bin))
Hist_MSCL_Signal = TH1D("Hist_MSCL_Signal","",len(MSCL_Bin)-1,array('d',MSCL_Bin))
Hist_MSCL_Control = TH1D("Hist_MSCL_Control","",len(MSCL_Bin)-1,array('d',MSCL_Bin))
Erec_Bin = [0,0.2,0.4,0.8,1.6,3.2,6.4,12.8,1000]
Erec_Bin = []
b = -1
while (b<2):
Erec_Bin += [pow(10,b)]
b += 0.2
Erec_Bin += [1000]
Hist_Erec_RW_Factor = TH1D("Hist_Erec_RW_Factor","",len(Erec_Bin)-1,array('d',Erec_Bin))
Hist_Erec_Signal = TH1D("Hist_Erec_Signal","",len(Erec_Bin)-1,array('d',Erec_Bin))
Hist_Erec_Control = TH1D("Hist_Erec_Control","",len(Erec_Bin)-1,array('d',Erec_Bin))
Hist2D_MSCW_vs_EmissionHeight_Data = TH2D("Hist2D_MSCW_vs_EmissionHeight_Data","",24,-4,20,40,0,40)
Hist2D_TelElev_vs_EmissionHeight_Data = TH2D("Hist2D_TelElev_vs_EmissionHeight_Data","",18,0,90,40,0,40)
Hist1D_TelElev_vs_EmissionHeight_Data = TH1D("Hist1D_TelElev_vs_EmissionHeight_Data","",18,0,90)
TProf_TelElev_vs_EmissionHeight_Data = TProfile("TProf_TelElev_vs_EmissionHeight_Data","",18,0,90,0,40)
Hist2D_TelElev_vs_EmissionHeight_Data_All = TH2D("Hist2D_TelElev_vs_EmissionHeight_Data_All","",18,0,90,40,0,40)
Hist1D_TelElev_vs_EmissionHeight_Data_All = TH1D("Hist1D_TelElev_vs_EmissionHeight_Data_All","",18,0,90)
nbins = 12
Hist_MSCW_CR = TH1D("Hist_MSCW_CR","",nbins,-5,19)
Hist_MSCW_CR_Raw = TH1D("Hist_MSCW_CR_Raw","",nbins,-5,19)
Hist_MSCW_Fake = TH1D("Hist_MSCW_Fake","",nbins,-5,19)
Hist_MSCW_ES = TH1D("Hist_MSCW_ES","",nbins,-5,19)
Hist_MSCW_ES_Raw = TH1D("Hist_MSCW_ES_Raw","",nbins,-5,19)
Hist_MSCW_Data = TH1D("Hist_MSCW_Data","",nbins,-5,19)
Hist_MSCW_Ring = TH1D("Hist_MSCW_Ring","",nbins,-5,19)
Hist_MSCW_Data_Sum = TH1D("Hist_MSCW_Data_Sum","",nbins,-5,19)
Hist_MSCW_Ring_Sum = TH1D("Hist_MSCW_Ring_Sum","",nbins,-5,19)
Hist_MSCW_Fake_Sum = TH1D("Hist_MSCW_Fake_Sum","",nbins,-5,19)
Hist_MSCW_ES_Sum = TH1D("Hist_MSCW_ES_Sum","",nbins,-5,19)
Hist_MSCW_CR_Sum = TH1D("Hist_MSCW_CR_Sum","",nbins,-5,19)
variable_bins = []
b = -1
while (b<2):
variable_bins += [pow(10,b)]
b += 0.5
Hist_Erec_CR = TH1D("Hist_Erec_CR","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_CR_Raw = TH1D("Hist_Erec_CR_Raw","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_Fake = TH1D("Hist_Erec_Fake","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_ES = TH1D("Hist_Erec_ES","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_ES_Raw = TH1D("Hist_Erec_ES_Raw","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_Data = TH1D("Hist_Erec_Data","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_Ring = TH1D("Hist_Erec_Ring","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_Data_Sum = TH1D("Hist_Erec_Data_Sum","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_Ring_Sum = TH1D("Hist_Erec_Ring_Sum","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_Fake_Sum = TH1D("Hist_Erec_Fake_Sum","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_ES_Sum = TH1D("Hist_Erec_ES_Sum","",len(variable_bins)-1,array('d',variable_bins))
Hist_Erec_CR_Sum = TH1D("Hist_Erec_CR_Sum","",len(variable_bins)-1,array('d',variable_bins))
N_GammaData_Fake = 0
N_GammaMC_Fake = 0
N_GammaData_ES = 0
N_GammaMC_ES = 0
MSCW_Bin = [-100,3,100] # the last bin has to be the CR normalization region!!
Hist_OnData_Signal = TH1D("Hist_OnData_Signal","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Hist_OnData_Control = TH1D("Hist_OnData_Control","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Hist_OffData_Signal = TH1D("Hist_OffData_Signal","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Hist_OffData_Control = TH1D("Hist_OffData_Control","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Hist_Gamma_Signal = TH1D("Hist_Gamma_Signal","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Hist_Gamma_Control = TH1D("Hist_Gamma_Control","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Hist_CR_Attenuation = TH1D("Hist_CR_Attenuation","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Hist_Gamma_Attenuation = TH1D("Hist_Gamma_Attenuation","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Hist_eGamma_Signal = TH1D("Hist_eGamma_Signal","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Hist_CR_Signal = TH1D("Hist_CR_Signal","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Hist_El_Signal = TH1D("Hist_El_Signal","",len(MSCW_Bin)-1,array('d',MSCW_Bin))
Elev_Bin = [60,90]
#Elev_Bin = [30,40,50,60,70,80,90]
Hist_e2p_Ratio_LowE = TH1D("Hist_e2p_Ratio_LowE","",len(Elev_Bin)-1,array('d',Elev_Bin))
Hist_Gamma_Attenu_LowE = TH1D("Hist_Gamma_Attenu_LowE","",len(Elev_Bin)-1,array('d',Elev_Bin))
Hist_CR_Attenu_LowE = TH1D("Hist_CR_Attenu_LowE","",len(Elev_Bin)-1,array('d',Elev_Bin))
variable_bins = []
b = -1
while (b<2):
variable_bins += [pow(10,b)]
b += 0.2
Hist2D_Erec_vs_EmissionHeight_Data = TH2D("Hist2D_Erec_vs_EmissionHeight_Data","",len(variable_bins)-1,array('d',variable_bins),40,0,40)
source = 'Crab'
field = 'on'
target = 'Crab'
#target = '3C264'
#target = 'PKS1424'
#target_field = 'on'
target_field = 'off'
Height_cut = ''
RW_method = ''
Fake_Removal = ''
Add_Electron = ''
#Height_cut = 'simple6'
#RW_method = 'NoRW'
Fake_Removal = 'NoFakeRemoved'
Add_Electron = 'NoEle'
Elev_cut_lower = 60
Elev_cut_upper = 90
MSCL_cut_lower = -2
MSCL_cut_upper = 1
Erec_cut_lower = 0.1
Erec_cut_upper = 1000
energy_bins = [0.1,0.3,0.9,2.7,8.1,1000]
#energy_bins = [0.1,0.2,0.4,0.8,1.6,3.2,6.4,12.8,1000]
energy_bins = [1.0,2.0,4.0,8.0,1000]
#energy_bins = [0.1,0.3,0.5,1.0]
#energy_bins = [0.1,0.3,0.5,1.0,3.0,5.0,1000]
Fake_cut_MSCL = 0.
Fake_cut_MSCW = 0.
tag = ''
#Do_e2p_Measurement = False
Do_e2p_Measurement = True
Hist_e2p_Ratio = []
Hist_Gamma_Attenu = []
Hist_CR_Attenu = []
if Do_e2p_Measurement and not Fake_Removal=='NoFakeRemoved':
canvas2 = ROOT.TCanvas("canvas2","canvas2", 200, 10, 600, 600)
pad2 = ROOT.TPad("pad2","pad2",0.1,0.8,1,1)
pad2.SetBottomMargin(0.0)
pad2.SetTopMargin(0.03)
pad2.SetBorderMode(1)
pad1 = ROOT.TPad("pad1","pad1",0.1,0,1,0.8)
pad1.SetBottomMargin(0.2)
pad1.SetTopMargin(0.0)
pad1.SetBorderMode(0)
pad1.Draw()
pad2.Draw()
legend = ROOT.TLegend(0.2,0.1,0.7,0.9)
legend.SetTextFont(42)
legend.SetBorderSize(0)
legend.SetTextSize(0.15)
legend.SetFillColor(0)
legend.SetFillStyle(0)
legend.SetLineColor(0)
for energy in range(0,len(energy_bins)-1):
Hist_e2p_Ratio += [Hist_e2p_Ratio_LowE.Clone()]
Hist_Gamma_Attenu += [Hist_Gamma_Attenu_LowE.Clone()]
Hist_CR_Attenu += [Hist_CR_Attenu_LowE.Clone()]
for elev in range(1,Hist_e2p_Ratio_LowE.GetNbinsX()+1):
Elev_cut_lower = Hist_e2p_Ratio_LowE.GetBinLowEdge(elev)
Elev_cut_upper = Hist_e2p_Ratio_LowE.GetBinLowEdge(elev+1)
Erec_cut_lower = energy_bins[energy]
Erec_cut_upper = energy_bins[energy+1]
#Erec_cut_upper = 1000.
MakeATag()
print '++++++++++++++++++++++++++++++++++++++++++++++'
print 'selection = %s'%(tag)
CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu,e2p_ratio,err_e2p_ratio = MeasureElectronComponent()
Hist_e2p_Ratio[energy].SetBinContent(Hist_e2p_Ratio_LowE.FindBin(Elev_cut_lower),e2p_ratio)
Hist_e2p_Ratio[energy].SetBinError(Hist_e2p_Ratio_LowE.FindBin(Elev_cut_lower),err_e2p_ratio)
Hist_Gamma_Attenu[energy].SetBinContent(Hist_Gamma_Attenu_LowE.FindBin(Elev_cut_lower),gamma_attenu)
Hist_Gamma_Attenu[energy].SetBinError(Hist_Gamma_Attenu_LowE.FindBin(Elev_cut_lower),err_gamma_attenu)
Hist_CR_Attenu[energy].SetBinContent(Hist_CR_Attenu_LowE.FindBin(Elev_cut_lower),CR_attenu)
Hist_CR_Attenu[energy].SetBinError(Hist_CR_Attenu_LowE.FindBin(Elev_cut_lower),err_CR_attenu)
pad1.cd()
#f_LowE = ROOT.TF1("f_LowE","[0]",30,90)
#Hist_e2p_Ratio_LowE.Fit("f_LowE","R")
#f_LowE.SetLineColor(4)
Hist_e2p_Ratio[0].GetXaxis().SetTitle('Tel Elevation')
Hist_e2p_Ratio[0].GetYaxis().SetTitle('e/p ratio')
maxContent = 0.
for energy in range(0,len(energy_bins)-1):
maxContent = max(Hist_e2p_Ratio[energy].GetMaximum(),maxContent)
Hist_e2p_Ratio[0].SetMaximum(1.2*maxContent)
Hist_e2p_Ratio[0].SetMinimum(0)
Hist_e2p_Ratio[0].Draw("E TEXT")
for energy in range(0,len(energy_bins)-1):
Hist_e2p_Ratio[energy].SetLineColor(energy+2)
Hist_e2p_Ratio[energy].Draw("E TEXT same")
#f_LowE.Draw("same")
pad2.cd()
legend.Clear()
for energy in range(0,len(energy_bins)-1):
legend.AddEntry(Hist_e2p_Ratio[energy],'E %s-%s TeV'%(energy_bins[energy],energy_bins[energy+1]),"pl")
legend.Draw("SAME")
canvas2.SaveAs('output/e2p_Ratio_%s.pdf'%(source))
pad1.cd()
#f_LowE = ROOT.TF1("f_LowE","[0]",30,90)
#Hist_Gamma_Attenu_LowE.Fit("f_LowE","R")
#f_LowE.SetLineColor(4)
Hist_Gamma_Attenu[0].GetXaxis().SetTitle('Tel Elevation')
Hist_Gamma_Attenu[0].GetYaxis().SetTitle('#gamma attenuation')
maxContent = 0.
for energy in range(0,len(energy_bins)-1):
maxContent = max(Hist_Gamma_Attenu[energy].GetMaximum(),maxContent)
Hist_Gamma_Attenu[0].SetMaximum(1.2*maxContent)
Hist_Gamma_Attenu[0].SetMinimum(0)
Hist_Gamma_Attenu[0].Draw("E TEXT")
for energy in range(0,len(energy_bins)-1):
Hist_Gamma_Attenu[energy].SetLineColor(energy+2)
Hist_Gamma_Attenu[energy].Draw("E TEXT same")
#f_LowE.Draw("same")
pad2.cd()
legend.Clear()
for energy in range(0,len(energy_bins)-1):
legend.AddEntry(Hist_Gamma_Attenu[energy],'E %s-%s TeV'%(energy_bins[energy],energy_bins[energy+1]),"pl")
legend.Draw("SAME")
canvas2.SaveAs('output/Gamma_Attenu_%s.pdf'%(source))
pad1.cd()
#f_LowE = ROOT.TF1("f_LowE","[0]",30,90)
#Hist_CR_Attenu_LowE.Fit("f_LowE","R")
#f_LowE.SetLineColor(4)
Hist_CR_Attenu[0].GetXaxis().SetTitle('Tel Elevation')
Hist_CR_Attenu[0].GetYaxis().SetTitle('CR attenuation')
maxContent = 0.
for energy in range(0,len(energy_bins)-1):
maxContent = max(Hist_CR_Attenu[energy].GetMaximum(),maxContent)
Hist_CR_Attenu[0].SetMaximum(1.2*maxContent)
Hist_CR_Attenu[0].SetMinimum(0)
Hist_CR_Attenu[0].Draw("E TEXT")
for energy in range(0,len(energy_bins)-1):
Hist_CR_Attenu[energy].SetLineColor(energy+2)
Hist_CR_Attenu[energy].Draw("E TEXT same")
#f_LowE.Draw("same")
pad2.cd()
legend.Clear()
for energy in range(0,len(energy_bins)-1):
legend.AddEntry(Hist_CR_Attenu[energy],'E %s-%s TeV'%(energy_bins[energy],energy_bins[energy+1]),"pl")
legend.Draw("SAME")
canvas2.SaveAs('output/CR_Attenu_%s.pdf'%(source))
source = target
field = target_field
Elev_cut_lower = Elev_Bin[0]
Elev_cut_upper = Elev_Bin[len(Elev_Bin)-1]
#MSCL_cut_lower = -2
#MSCL_cut_upper = 1
#Do_analysis = False
Do_analysis = True
if Do_analysis:
for energy in range(0,len(energy_bins)-1):
Erec_cut_lower = energy_bins[energy]
Erec_cut_upper = energy_bins[energy+1]
MakeATag()
#RunExtendedSourceAnalysis(e2p_ratio[energy],cr_att[energy],gamma_att[energy])
e2p_ratio = 0
cr_att = 1
gamma_att = 0
if not Fake_Removal=='NoFakeRemoved':
e2p_ratio = Hist_e2p_Ratio[energy].GetBinContent(Hist_e2p_Ratio[energy].FindBin(70.))
cr_att = Hist_CR_Attenu[energy].GetBinContent(Hist_CR_Attenu[energy].FindBin(70.))
gamma_att = Hist_Gamma_Attenu[energy].GetBinContent(Hist_Gamma_Attenu[energy].FindBin(70.))
RunExtendedSourceAnalysis(e2p_ratio,cr_att,gamma_att)
Erec_cut_lower = energy_bins[0]
Erec_cut_upper = energy_bins[len(energy_bins)-1]
MakeATag()