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ExtendedSourceBkgTemplate_Oct18.py
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ExtendedSourceBkgTemplate_Oct18.py
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import sys
import runlist
from runlist import *
#import EmissionHeightMethodConfig
#from EmissionHeightMethodConfig import *
#import MSCWMethodConfig
#from MSCWMethodConfig import *
import Config
from Config import *
ROOT.gStyle.SetOptStat(0)
ROOT.TH1.SetDefaultSumw2()
ROOT.gStyle.SetPaintTextFormat("0.3f")
target = sys.argv[1]
Elev_cut_lower = 0
Elev_cut_upper = 0
Azim_cut_lower = 0
Azim_cut_upper = 0
NoSignalAssumption = False
MSCL_cut_lower = -2
MSCL_cut_upper = 0.7
MSCW_cut_lower = -2
MSCW_cut_upper = 0.7
#NoSignalAssumption = True
#MSCL_cut_lower = -2
#MSCL_cut_upper = 0.7
#MSCW_cut_lower = 2
#MSCW_cut_upper = 3
Erec_cut_lower = 0.1
Erec_cut_upper = 1000
Hist_Gamma_Attenu = []
Hist_CR_Attenu = []
Hist_CR_Efficiency_list = []
Hist_Inflation = []
Hist_EmissionHeight_Source = TH1D("Hist_EmissionHeight_Source","",40,0,40)
Hist_EmissionHeight_Target = TH1D("Hist_EmissionHeight_Target","",40,0,40)
Hist_MSCW_Source = TH1D("Hist_MSCW_Source","",60,-5,10)
Hist_MSCW_Target = TH1D("Hist_MSCW_Target","",60,-5,10)
Peak_EmissionHeight = 10
signal_width = 1000.0
control_width = 4.0
observation_time = 0
time_cut = 1e10
def AzimuthConverter(azimuth):
new_azimuth = abs(azimuth-180.)
return float(new_azimuth)
def ControlRegionHeightSelection(tree,elev):
cut_upper = Peak_EmissionHeight+control_width
cut_lower = Peak_EmissionHeight-control_width
if (tree.EmissionHeight<cut_upper and tree.EmissionHeight>cut_lower): return False
#if (tree.EmissionHeight>(cut_upper+1.) or tree.EmissionHeight<(cut_lower-1.)): return False
return True
def SignalRegionHeightSelection(tree,elev):
cut_upper = Peak_EmissionHeight+signal_width
cut_lower = Peak_EmissionHeight-signal_width
if (tree.EmissionHeight>cut_upper or tree.EmissionHeight<cut_lower): return False
return True
def CommonSelection(tree):
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 MakeATag():
global tag
tag = ''
tag += '_Elev%sto%s'%(Elev_cut_lower,Elev_cut_upper)
tag += '_Azim%sto%s'%(Azim_cut_lower,Azim_cut_upper)
#tag += '_MSCL%sto%s'%(MSCL_cut_lower,MSCL_cut_upper)
#tag += '_MSCW%sto%s'%(MSCW_cut_lower,MSCW_cut_upper)
tag += '_Erec%dto%d'%(Erec_cut_lower*1000.,Erec_cut_upper*1000.)
tag += '_'+target
tag += '_'+tag_method
def GetEmissionHeightHistogram(source,region,run,data_type):
if data_type=='anasum':
if source == 'Crab':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if region == 'on':
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(run))
ring_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
else:
anasum_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
else:
anasum_file = ROOT.TFile.Open("$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)
hist_RA_vs_time = ROOT.TProfile("hist_RA_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
hist_Dec_vs_time = ROOT.TProfile("hist_Dec_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
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)
hist_RA_vs_time.Fill(pointing_tree.Time,pointing_tree.TelRAJ2000)
hist_Dec_vs_time.Fill(pointing_tree.Time,pointing_tree.TelDecJ2000)
for i in range(0,anasum_tree.GetEntries()):
anasum_tree.GetEntry(i)
#if not CommonSelection(anasum_tree): continue
if (anasum_tree.MSCL<MSCL_cut_lower): continue
if (anasum_tree.MSCL>MSCL_cut_upper): continue
if (anasum_tree.MSCW<MSCW_cut_lower): continue
if (anasum_tree.MSCW>MSCW_cut_upper): continue
if (anasum_tree.Erec<Erec_cut_lower): continue
if (anasum_tree.Erec>Erec_cut_upper): 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))
RA = hist_RA_vs_time.GetBinContent(hist_RA_vs_time.FindBin(anasum_tree.Time))
Dec = hist_Dec_vs_time.GetBinContent(hist_Dec_vs_time.FindBin(anasum_tree.Time))
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if AzimuthConverter(azimuth)<Azim_cut_lower or AzimuthConverter(azimuth)>Azim_cut_upper: continue
Hist_EmissionHeight_GammaData.Fill(anasum_tree.EmissionHeight)
def GetAttenuationHistogram(source,region,run,data_type):
if data_type=='anasum':
if source == 'Crab':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if region == 'on':
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(run))
ring_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
else:
anasum_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
else:
anasum_file = ROOT.TFile.Open("$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)
hist_RA_vs_time = ROOT.TProfile("hist_RA_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
hist_Dec_vs_time = ROOT.TProfile("hist_Dec_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
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)
hist_RA_vs_time.Fill(pointing_tree.Time,pointing_tree.TelRAJ2000)
hist_Dec_vs_time.Fill(pointing_tree.Time,pointing_tree.TelDecJ2000)
for i in range(0,anasum_tree.GetEntries()):
anasum_tree.GetEntry(i)
#if not CommonSelection(anasum_tree): continue
if (anasum_tree.MSCL<MSCL_cut_lower): continue
if (anasum_tree.MSCL>MSCL_cut_upper): continue
if (anasum_tree.MSCW<MSCW_cut_lower): continue
if (anasum_tree.MSCW>MSCW_cut_upper): continue
if (anasum_tree.Erec<Erec_cut_lower): continue
if (anasum_tree.Erec>Erec_cut_upper): 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))
RA = hist_RA_vs_time.GetBinContent(hist_RA_vs_time.FindBin(anasum_tree.Time))
Dec = hist_Dec_vs_time.GetBinContent(hist_Dec_vs_time.FindBin(anasum_tree.Time))
scale = 1
Hist_TelElev_Counts_source_Sum.Fill(elevation,scale)
Hist_TelAzim_Counts_source_Sum.Fill(azimuth,scale)
Hist_TelElevAzim_Counts_source.Fill(elevation,azimuth,scale)
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if AzimuthConverter(azimuth)<Azim_cut_lower or AzimuthConverter(azimuth)>Azim_cut_upper: continue
if region == 'off':
Hist_EmissionHeight_Source.Fill(anasum_tree.EmissionHeight,scale)
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)
if SignalRegionHeightSelection(anasum_tree,elevation):
if region == 'on':
Hist_OnData_Signal.Fill(anasum_tree.MSCW,scale)
else:
Hist_OffData_Signal.Fill(anasum_tree.MSCW,scale)
def GetSourceAzimuth(run):
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
pointing_tree.GetEntry(0)
time_begin = pointing_tree.Time
pointing_tree.GetEntry(pointing_tree.GetEntries()-1)
time_end = pointing_tree.Time
hist_Ele_vs_time = ROOT.TProfile("hist_Ele_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
hist_Azi_vs_time = ROOT.TProfile("hist_Azi_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),-400,400)
for i in range(0,pointing_tree.GetEntries()):
pointing_tree.GetEntry(i)
hist_Ele_vs_time.Fill(pointing_tree.Time,pointing_tree.TelElevation)
hist_Azi_vs_time.Fill(pointing_tree.Time,pointing_tree.TelAzimuth)
for i in range(0,anasum_tree.GetEntries()):
anasum_tree.GetEntry(i)
elevation = hist_Ele_vs_time.GetBinContent(hist_Ele_vs_time.FindBin(anasum_tree.Time))
azimuth = hist_Azi_vs_time.GetBinContent(hist_Azi_vs_time.FindBin(anasum_tree.Time))
if not CommonSelection(anasum_tree): continue
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if AzimuthConverter(azimuth)<Azim_cut_lower or AzimuthConverter(azimuth)>Azim_cut_upper: continue
Hist_TelAzim_Counts_source.Fill(AzimuthConverter(azimuth))
def GetSourceElevation(run):
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
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)
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 not CommonSelection(anasum_tree): continue
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if AzimuthConverter(azimuth)<Azim_cut_lower or AzimuthConverter(azimuth)>Azim_cut_upper: continue
scale = Hist_TelAzim_Counts_scale.GetBinContent(Hist_TelAzim_Counts_scale.FindBin(AzimuthConverter(azimuth)))
Hist_TelElev_Counts_source.Fill(elevation,scale)
def GetTargetElevation(run):
if target == '2ndCrab':
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("$VERITAS_USER_DATA_DIR/3C264_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if target == 'H1426':
target_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/H1426_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if target == 'Ton599':
target_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Ton599_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if target == 'IC443':
target_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/IC443_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
anasum_tree = target_file.Get("run_%s/stereo/data_on"%(run))
pointing_tree = target_file.Get("run_%s/stereo/pointingDataReduced"%(run))
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)
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 not CommonSelection(anasum_tree): continue
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if AzimuthConverter(azimuth)<Azim_cut_lower or AzimuthConverter(azimuth)>Azim_cut_upper: continue
Hist_TelAzim_Counts_target.Fill(azimuth)
Hist_TelElev_Counts_target.Fill(elevation)
Hist_TelElevAzim_Counts_target.Fill(elevation,azimuth)
def MeasureEmissionHeightPeak():
global Peak_EmissionHeight
print 'Erec_cut_lower = %s, Erec_cut_upper = %s'%(Erec_cut_lower,Erec_cut_upper)
print 'Elev_cut_lower = %s, Elev_cut_upper = %s'%(Elev_cut_lower,Elev_cut_upper)
print 'Azim_cut_lower = %s, Azim_cut_upper = %s'%(Azim_cut_lower,Azim_cut_upper)
Peak_EmissionHeight = 0
if source == 'Crab':
for run in Crab_runlist:
GetEmissionHeightHistogram('Crab','on',run,'anasum')
Peak_EmissionHeight = Hist_EmissionHeight_GammaData.GetMean()
print 'Peak_EmissionHeight = %s'%(Peak_EmissionHeight)
def MeasureAttenuation():
print 'Erec_cut_lower = %s, Erec_cut_upper = %s'%(Erec_cut_lower,Erec_cut_upper)
print 'Elev_cut_lower = %s, Elev_cut_upper = %s'%(Elev_cut_lower,Elev_cut_upper)
print 'Azim_cut_lower = %s, Azim_cut_upper = %s'%(Azim_cut_lower,Azim_cut_upper)
Rate_CR_Attenuation = 0
Err_Rate_CR_Attenuation = 0
Rate_Gamma_Attenuation = 0
Err_Rate_Gamma_Attenuation = 0
if source == 'Crab':
for run in Crab_runlist:
GetAttenuationHistogram('Crab','on',run,'anasum')
GetAttenuationHistogram('Crab','off',run,'anasum')
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.GetBinContent(Hist_OnData_Signal.FindBin(0)))
print 'Hist_OnData_Control.Integral() = %s'%(Hist_OnData_Control.GetBinContent(Hist_OnData_Signal.FindBin(0)))
print 'Hist_OffData_Signal.Integral() = %s'%(Hist_OffData_Signal.GetBinContent(Hist_OnData_Signal.FindBin(0)))
print 'Hist_OffData_Control.Integral() = %s'%(Hist_OffData_Control.GetBinContent(Hist_OnData_Signal.FindBin(0)))
#if Hist_OffData_Signal.GetBinContent(len(MSCW_Bin)-1)<1:
# return 0,0,0,0
#if Hist_OffData_Control.GetBinContent(len(MSCW_Bin)-1)<1:
# return 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)
Normalization_Factor_Signal = 1./20.
Hist_OffData_Signal.Scale(Normalization_Factor_Signal)
Hist_OffData_Control.Scale(Normalization_Factor_Signal)
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)
#Hist_OffData_Signal.Scale(Normalization_Factor_Control)
#Hist_OffData_Control.Scale(Normalization_Factor_Control)
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(Hist_CR_Attenuation.FindBin(0))
Err_Rate_CR_Attenuation = Hist_CR_Attenuation.GetBinError(Hist_CR_Attenuation.FindBin(0))
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_Signal.GetNbinsX()):
Hist_Gamma_Signal.SetBinContent(b+1,max(0,Hist_Gamma_Signal.GetBinContent(b+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_Control.GetNbinsX()):
Hist_Gamma_Control.SetBinContent(b+1,max(0,Hist_Gamma_Control.GetBinContent(b+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))
Err_Rate_Gamma_Attenuation = Hist_Gamma_Attenuation.GetBinError(Hist_Gamma_Attenuation.FindBin(0))
print 'Rate_Gamma_Attenuation = %s +/- %s'%(Rate_Gamma_Attenuation,Err_Rate_Gamma_Attenuation)
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()
return Rate_CR_Attenuation,Err_Rate_CR_Attenuation,Rate_Gamma_Attenuation,Err_Rate_Gamma_Attenuation
def GenerateExtendedSignalMSCW(source,region,run,data_type,scale):
if data_type=='anasum':
if source == 'Crab':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == '2ndCrab':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(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("pointingDataReduced")
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)
hist_RA_vs_time = ROOT.TProfile("hist_RA_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
hist_Dec_vs_time = ROOT.TProfile("hist_Dec_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
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)
hist_RA_vs_time.Fill(pointing_tree.Time,pointing_tree.TelRAJ2000)
hist_Dec_vs_time.Fill(pointing_tree.Time,pointing_tree.TelDecJ2000)
for i in range(0,anasum_tree.GetEntries()):
anasum_tree.GetEntry(i)
if not CommonSelection(anasum_tree): continue
if region == 'on':
if (anasum_tree.theta2>0.01): continue
if region == 'off':
if (anasum_tree.theta2<0.1): continue
if (anasum_tree.theta2>1.0): 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))
RA = hist_RA_vs_time.GetBinContent(hist_RA_vs_time.FindBin(anasum_tree.Time))
Dec = hist_Dec_vs_time.GetBinContent(hist_Dec_vs_time.FindBin(anasum_tree.Time))
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if AzimuthConverter(azimuth)<Azim_cut_lower or AzimuthConverter(azimuth)>Azim_cut_upper: continue
pointing_weight = 1
signal_ra = MyRandom.Gaus(0.,0.2)
signal_dec = MyRandom.Gaus(0.,0.2)
signal_theta2 = signal_ra*signal_ra+signal_dec*signal_dec
if ControlRegionMSCWSelection(anasum_tree,elevation):
if (signal_theta2<FOV*FOV):
Hist_Erec_CR_Raw_AddSignal.Fill(min(energy_bins[len(energy_bins)-2],anasum_tree.Erec),pointing_weight*scale)
Hist2D_Xoff_vs_Yoff_CR_Raw_AddSignal.Fill(signal_ra,signal_dec,pointing_weight*scale)
Hist_theta2_CR_Raw_AddSignal.Fill(signal_theta2,pointing_weight*scale)
Hist_theta2_zoomin_CR_Raw_AddSignal.Fill(signal_theta2,pointing_weight*scale)
if SignalRegionMSCWSelection(anasum_tree,elevation):
if (signal_theta2<FOV*FOV):
Hist_Erec_Data_AddSignal.Fill(min(energy_bins[len(energy_bins)-2],anasum_tree.Erec),pointing_weight*scale)
Hist2D_Xoff_vs_Yoff_Data_AddSignal.Fill(signal_ra,signal_dec,pointing_weight*scale)
Hist_theta2_Data_AddSignal.Fill(signal_theta2,pointing_weight*scale)
Hist_theta2_zoomin_Data_AddSignal.Fill(signal_theta2,pointing_weight*scale)
def GenerateExtendedSignal(source,region,run,data_type,scale):
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 == '2ndCrab':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
else:
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/analysis/Results/%s.mscw.root"%(run))
anasum_tree = anasum_file.Get("data")
pointing_tree = anasum_file.Get("pointingDataReduced")
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)
hist_RA_vs_time = ROOT.TProfile("hist_RA_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
hist_Dec_vs_time = ROOT.TProfile("hist_Dec_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
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)
hist_RA_vs_time.Fill(pointing_tree.Time,pointing_tree.TelRAJ2000)
hist_Dec_vs_time.Fill(pointing_tree.Time,pointing_tree.TelDecJ2000)
for i in range(0,anasum_tree.GetEntries()):
anasum_tree.GetEntry(i)
if not CommonSelection(anasum_tree): continue
if region == 'on':
if (anasum_tree.theta2>0.01): continue
if region == 'off':
if (anasum_tree.theta2<0.1): continue
if (anasum_tree.theta2>1.0): 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))
RA = hist_RA_vs_time.GetBinContent(hist_RA_vs_time.FindBin(anasum_tree.Time))
Dec = hist_Dec_vs_time.GetBinContent(hist_Dec_vs_time.FindBin(anasum_tree.Time))
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if AzimuthConverter(azimuth)<Azim_cut_lower or AzimuthConverter(azimuth)>Azim_cut_upper: continue
pointing_weight = 1
signal_ra = MyRandom.Gaus(0.,0.2)
signal_dec = MyRandom.Gaus(0.,0.2)
signal_theta2 = signal_ra*signal_ra+signal_dec*signal_dec
if ControlRegionHeightSelection(anasum_tree,elevation):
if (anasum_tree.MSCW>MSCW_cut_lower and anasum_tree.MSCW<MSCW_cut_upper):
if (signal_theta2<FOV*FOV):
Hist_Erec_CR_Raw_AddSignal.Fill(min(energy_bins[len(energy_bins)-2],anasum_tree.Erec),pointing_weight*scale)
Hist2D_Xoff_vs_Yoff_CR_Raw_AddSignal.Fill(signal_ra,signal_dec,pointing_weight*scale)
Hist_theta2_CR_Raw_AddSignal.Fill(signal_theta2,pointing_weight*scale)
Hist_theta2_zoomin_CR_Raw_AddSignal.Fill(signal_theta2,pointing_weight*scale)
if SignalRegionHeightSelection(anasum_tree,elevation):
if (anasum_tree.MSCW>MSCW_cut_lower and anasum_tree.MSCW<MSCW_cut_upper):
if (signal_theta2<FOV*FOV):
Hist_Erec_Data_AddSignal.Fill(min(energy_bins[len(energy_bins)-2],anasum_tree.Erec),pointing_weight*scale)
Hist2D_Xoff_vs_Yoff_Data_AddSignal.Fill(signal_ra,signal_dec,pointing_weight*scale)
Hist_theta2_Data_AddSignal.Fill(signal_theta2,pointing_weight*scale)
Hist_theta2_zoomin_Data_AddSignal.Fill(signal_theta2,pointing_weight*scale)
def SingleRunAnalysisMSCW(source,region,run,data_type):
global observation_time
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("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == '2ndCrab':
anasum_file = ROOT.TFile.Open("$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 source == 'H1426':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/H1426_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == 'Ton599':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Ton599_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == 'IC443':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/IC443_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(run))
ring_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
else:
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/analysis/Results/%s.mscw.root"%(run))
anasum_tree = anasum_file.Get("data")
pointing_tree = anasum_file.Get("pointingDataReduced")
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)
hist_RA_vs_time = ROOT.TProfile("hist_RA_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
hist_Dec_vs_time = ROOT.TProfile("hist_Dec_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
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)
hist_RA_vs_time.Fill(pointing_tree.Time,pointing_tree.TelRAJ2000)
hist_Dec_vs_time.Fill(pointing_tree.Time,pointing_tree.TelDecJ2000)
observation_time_this_run = 0
#print 'time cut = %s s'%(time_cut)
for i in range(0,anasum_tree.GetEntries()):
anasum_tree.GetEntry(i)
observation_time_this_run = anasum_tree.Time-time_begin
if time_cut<(observation_time_this_run+observation_time): 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))
RA = hist_RA_vs_time.GetBinContent(hist_RA_vs_time.FindBin(anasum_tree.Time))
Dec = hist_Dec_vs_time.GetBinContent(hist_Dec_vs_time.FindBin(anasum_tree.Time))
if not CommonSelection(anasum_tree): continue
#if region=="off":
# if anasum_tree.theta2<0.1: continue
Hist_TelElev_Counts_target_Sum.Fill(elevation)
Hist_TelAzim_Counts_target_Sum.Fill(azimuth)
Hist_TelElevAzim_Counts_target.Fill(elevation,azimuth)
if (anasum_tree.MSCW>MSCW_cut_lower and anasum_tree.MSCW<MSCW_cut_upper):
Hist2D_TelElev_vs_EmissionHeight_Data_All.Fill(elevation,anasum_tree.EmissionHeight)
Hist2D_TelAzim_vs_EmissionHeight_Data_All.Fill(AzimuthConverter(azimuth),anasum_tree.EmissionHeight)
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if AzimuthConverter(azimuth)<Azim_cut_lower or AzimuthConverter(azimuth)>Azim_cut_upper: continue
Hist_MSCW_Target.Fill(anasum_tree.MSCW)
if (anasum_tree.MSCW>MSCW_cut_lower and anasum_tree.MSCW<MSCW_cut_upper):
Hist2D_Erec_vs_EmissionHeight_Data_All.Fill(anasum_tree.Erec,anasum_tree.EmissionHeight)
scale = 1
Xoff_derot = anasum_tree.Xoff_derot
Yoff_derot = anasum_tree.Yoff_derot
Xoff = anasum_tree.Xoff
Yoff = anasum_tree.Yoff
Xcore = anasum_tree.Xcore
Ycore = anasum_tree.Ycore
if ControlRegionMSCWSelection(anasum_tree,elevation):
if (anasum_tree.theta2<FOV*FOV and anasum_tree.theta2>0.1):
Hist_Erec_CR_Raw.Fill(min(energy_bins[len(energy_bins)-2],anasum_tree.Erec),1.)
Hist2D_Xoff_vs_Yoff_CR_Raw.Fill(anasum_tree.ra,anasum_tree.dec)
Hist_theta2_CR_Raw.Fill(anasum_tree.theta2)
Hist_theta2_zoomin_CR_Raw.Fill(anasum_tree.theta2)
if SignalRegionMSCWSelection(anasum_tree,elevation):
if (anasum_tree.theta2<FOV*FOV and anasum_tree.theta2>0.1):
Hist_Erec_Data.Fill(min(energy_bins[len(energy_bins)-2],anasum_tree.Erec))
elif (anasum_tree.theta2>Ring_Inner*Ring_Inner and anasum_tree.theta2<Ring_Outer*Ring_Outer):
Hist_Erec_Ring.Fill(min(energy_bins[len(energy_bins)-2],anasum_tree.Erec))
Hist2D_Xoff_vs_Yoff_Data.Fill(anasum_tree.ra,anasum_tree.dec)
Hist_theta2_Data.Fill(anasum_tree.theta2)
Hist_theta2_zoomin_Data.Fill(anasum_tree.theta2)
if (anasum_tree.MSCW>3.):
if (anasum_tree.theta2<FOV*FOV and anasum_tree.theta2>0.1):
Hist_Norm_Data.Fill(0)
elif (anasum_tree.theta2>Ring_Inner*Ring_Inner and anasum_tree.theta2<Ring_Outer*Ring_Outer):
Hist_Norm_Ring.Fill(0)
observation_time += observation_time_this_run
#print 'current observation time = %s min.'%(observation_time/60.)
def SingleRunAnalysis(source,region,run,data_type):
global observation_time
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("$VERITAS_USER_DATA_DIR/Crab_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == '2ndCrab':
anasum_file = ROOT.TFile.Open("$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 source == 'H1426':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/H1426_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == 'Ton599':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/Ton599_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
if source == 'IC443':
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/IC443_V6_Moderate-TMVA-BDT.RB.%s.root"%(run))
anasum_tree = anasum_file.Get("run_%s/stereo/data_on"%(run))
ring_tree = anasum_file.Get("run_%s/stereo/data_off"%(run))
pointing_tree = anasum_file.Get("run_%s/stereo/pointingDataReduced"%(run))
else:
anasum_file = ROOT.TFile.Open("$VERITAS_USER_DATA_DIR/analysis/Results/%s.mscw.root"%(run))
anasum_tree = anasum_file.Get("data")
pointing_tree = anasum_file.Get("pointingDataReduced")
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)
hist_RA_vs_time = ROOT.TProfile("hist_RA_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
hist_Dec_vs_time = ROOT.TProfile("hist_Dec_vs_time","",100,time_begin,time_end+0.01*(time_end-time_begin),0,100)
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)
hist_RA_vs_time.Fill(pointing_tree.Time,pointing_tree.TelRAJ2000)
hist_Dec_vs_time.Fill(pointing_tree.Time,pointing_tree.TelDecJ2000)
observation_time_this_run = 0
for i in range(0,anasum_tree.GetEntries()):
anasum_tree.GetEntry(i)
observation_time_this_run = anasum_tree.Time-time_begin
if time_cut<(observation_time_this_run+observation_time): 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))
RA = hist_RA_vs_time.GetBinContent(hist_RA_vs_time.FindBin(anasum_tree.Time))
Dec = hist_Dec_vs_time.GetBinContent(hist_Dec_vs_time.FindBin(anasum_tree.Time))
if not CommonSelection(anasum_tree): continue
#if region=="off":
# if anasum_tree.theta2<0.1: continue
Hist_TelElev_Counts_target_Sum.Fill(elevation)
Hist_TelAzim_Counts_target_Sum.Fill(azimuth)
Hist_TelElevAzim_Counts_target.Fill(elevation,azimuth)
if (anasum_tree.MSCW>MSCW_cut_lower and anasum_tree.MSCW<MSCW_cut_upper):
Hist2D_TelElev_vs_EmissionHeight_Data_All.Fill(elevation,anasum_tree.EmissionHeight)
Hist2D_TelAzim_vs_EmissionHeight_Data_All.Fill(AzimuthConverter(azimuth),anasum_tree.EmissionHeight)
if elevation<Elev_cut_lower or elevation>Elev_cut_upper: continue
if AzimuthConverter(azimuth)<Azim_cut_lower or AzimuthConverter(azimuth)>Azim_cut_upper: continue
if (anasum_tree.MSCW>MSCW_cut_lower and anasum_tree.MSCW<MSCW_cut_upper):
Hist2D_Erec_vs_EmissionHeight_Data_All.Fill(anasum_tree.Erec,anasum_tree.EmissionHeight)
Hist_EmissionHeight_Target.Fill(anasum_tree.EmissionHeight)
scale = 1
Xoff_derot = anasum_tree.Xoff_derot
Yoff_derot = anasum_tree.Yoff_derot
Xcore = anasum_tree.Xcore
Ycore = anasum_tree.Ycore
if ControlRegionHeightSelection(anasum_tree,elevation):
if (anasum_tree.MSCW>MSCW_cut_lower and anasum_tree.MSCW<MSCW_cut_upper):
if (anasum_tree.theta2<FOV*FOV and anasum_tree.theta2>0.1):
Hist_Erec_CR_Raw.Fill(min(energy_bins[len(energy_bins)-2],anasum_tree.Erec),1.)
Hist2D_Xoff_vs_Yoff_CR_Raw.Fill(anasum_tree.ra,anasum_tree.dec)
Hist_theta2_CR_Raw.Fill(anasum_tree.theta2)
Hist_theta2_zoomin_CR_Raw.Fill(anasum_tree.theta2)
if SignalRegionHeightSelection(anasum_tree,elevation):
if (anasum_tree.MSCW>MSCW_cut_lower and anasum_tree.MSCW<MSCW_cut_upper):
if (anasum_tree.theta2<FOV*FOV and anasum_tree.theta2>0.1):
Hist_Erec_Data.Fill(min(energy_bins[len(energy_bins)-2],anasum_tree.Erec))
elif (anasum_tree.theta2>Ring_Inner*Ring_Inner and anasum_tree.theta2<Ring_Outer*Ring_Outer):
Hist_Erec_Ring.Fill(min(energy_bins[len(energy_bins)-2],anasum_tree.Erec))
Hist2D_Xoff_vs_Yoff_Data.Fill(anasum_tree.ra,anasum_tree.dec)
Hist_theta2_Data.Fill(anasum_tree.theta2)
Hist_theta2_zoomin_Data.Fill(anasum_tree.theta2)
if (anasum_tree.MSCW>3.):
if (anasum_tree.theta2<FOV*FOV and anasum_tree.theta2>0.1):
Hist_Norm_Data.Fill(0)
elif (anasum_tree.theta2>Ring_Inner*Ring_Inner and anasum_tree.theta2<Ring_Outer*Ring_Outer):
Hist_Norm_Ring.Fill(0)
observation_time += observation_time_this_run
#print 'current observation time = %s min.'%(observation_time/60.)
#if region == 'on' and data_type=='anasum':
# for i in range(0,ring_tree.GetEntries()):
# ring_tree.GetEntry(i)
# if not CommonSelection(ring_tree): 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 SignalRegionHeightSelection(ring_tree,elevation):
# if (ring_tree.MSCW<1.):
# Hist_Erec_Ring.Fill(min(energy_bins[len(energy_bins)-2],ring_tree.Erec))
# if (ring_tree.MSCW>3.):
# Hist_Norm_Ring.Fill(0)
def CalculateBkgMSCWMethod(Hist_CR,Hist_Data,Hist_CR_Raw,CR_attenu,err_CR_attenu):
Hist_CR.Reset()
if not CR_attenu==0:
Hist_CR.Add(Hist_CR_Raw,1./CR_attenu)
for b in range(0,Hist_CR.GetNbinsX()):
old_err = Hist_CR.GetBinError(b+1)
add_err = Hist_CR.GetBinContent(b+1)*(err_CR_attenu/CR_attenu)
Hist_CR.SetBinError(b+1,pow(old_err*old_err+add_err*add_err,0.5))
for b in range(0,Hist_CR.GetNbinsX()):
Hist_CR.SetBinContent(b+1,max(0,Hist_CR.GetBinContent(b+1)))
def CalculateBkgHeightMethod(Hist_CR,Hist_Data,Hist_CR_Raw,CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu):
#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 NoSignalAssumption: gamma_attenu = 0
Hist_CR.Reset()
if not CR_attenu==0:
Hist_CR.Add(Hist_Data)
Hist_CR.Add(Hist_CR_Raw,-1./CR_attenu)
for b in range(0,Hist_CR.GetNbinsX()):
old_err = Hist_CR.GetBinError(b+1)
add_err = Hist_CR_Raw.GetBinContent(b+1)/CR_attenu*(err_CR_attenu/CR_attenu)
Hist_CR.SetBinError(b+1,pow(old_err*old_err+add_err*add_err,0.5))
Hist_CR.Scale(1./(1.-gamma_attenu/CR_attenu))
if not gamma_attenu==0:
for b in range(0,Hist_CR.GetNbinsX()):
old_err = Hist_CR.GetBinError(b+1)
numerator = pow(err_gamma_attenu/gamma_attenu,2)+pow(err_CR_attenu/CR_attenu,2)
numerator = pow(numerator,0.5)*gamma_attenu/CR_attenu
add_err = numerator/(1.-gamma_attenu/CR_attenu)*(1./(1.-gamma_attenu/CR_attenu))
Hist_CR.SetBinError(b+1,pow(old_err*old_err+add_err*add_err,0.5))
Hist_CR.Scale(-1.)
Hist_CR.Add(Hist_Data)
for b in range(0,Hist_CR.GetNbinsX()):
Hist_CR.SetBinContent(b+1,max(0,Hist_CR.GetBinContent(b+1)))
def RunExtendedSourceAnalysis(data_type,CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu):
print 'Erec_cut_lower = %s, Erec_cut_upper = %s'%(Erec_cut_lower,Erec_cut_upper)
print 'Elev_cut_lower = %s, Elev_cut_upper = %s'%(Elev_cut_lower,Elev_cut_upper)
print 'Azim_cut_lower = %s, Azim_cut_upper = %s'%(Azim_cut_lower,Azim_cut_upper)
print 'CR_attenu = %s +/- %s, gamma_attenu = %s +/- %s'%(CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu)
if gamma_attenu<0: gamma_attenu = 0
if target == 'Crab':
for run in Crab_runlist:
SingleRunAnalysis('Crab',target_field,run,data_type)
if target == '2ndCrab':
for run in SecondCrab_runlist:
SingleRunAnalysis('Crab',target_field,run,data_type)
if target == 'PKS1424':
for run in PKS1424_runlist:
SingleRunAnalysis('PKS1424',target_field,run,data_type)
if target == '3C264':
for run in runlist_3C264:
SingleRunAnalysis('3C264',target_field,run,data_type)
if target == 'H1426':
for run in runlist_H1426:
SingleRunAnalysis('H1426',target_field,run,data_type)
if target == 'Ton599':
for run in runlist_Ton599:
SingleRunAnalysis('Ton599',target_field,run,data_type)
if target == 'IC443':
for run in runlist_IC443:
SingleRunAnalysis('IC443',target_field,run,data_type)
# Here we add signals using Crab data
if add_signal:
for run in SecondCrab_runlist:
#GenerateExtendedSignal('Crab','on',run,data_type,1.0)
GenerateExtendedSignal('Crab','off',run,data_type,1.0)
#GenerateExtendedSignal('Crab','off',run,data_type,scale*Normalization_Factor_Signal)
if data_type=='anasum':
Normalization_Factor_Ring = 0
if not Hist_Norm_Ring.Integral()==0:
Normalization_Factor_Ring = Hist_Norm_Data.Integral()
Normalization_Factor_Ring = Normalization_Factor_Ring/Hist_Norm_Ring.Integral()
Hist_Erec_Ring.Scale(Normalization_Factor_Ring)
print 'Hist_Erec_CR_Raw.Integral() = %s'%(Hist_Erec_CR_Raw.Integral())
print 'Hist_Erec_Data.Integral() = %s'%(Hist_Erec_Data.Integral())
print 'Hist_Erec_CR_Raw_AddSignal.Integral() = %s'%(Hist_Erec_CR_Raw_AddSignal.Integral())
print 'Hist_Erec_Data_AddSignal.Integral() = %s'%(Hist_Erec_Data_AddSignal.Integral())
if not Fake_Removal=='NoFakeRemoved':
if not add_signal:
CalculateBkgHeightMethod(Hist_Erec_CR,Hist_Erec_Data,Hist_Erec_CR_Raw,CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu)
else:
Hist_Erec_Data_AddSignal.Add(Hist_Erec_Data)
Hist_Erec_CR_Raw_AddSignal.Add(Hist_Erec_CR_Raw)
CalculateBkgHeightMethod(Hist_Erec_CR,Hist_Erec_Data_AddSignal,Hist_Erec_CR_Raw_AddSignal,CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu)
if not add_signal:
CalculateBkgHeightMethod(Hist2D_Xoff_vs_Yoff_CR,Hist2D_Xoff_vs_Yoff_Data,Hist2D_Xoff_vs_Yoff_CR_Raw,CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu)
else:
Hist2D_Xoff_vs_Yoff_Data_AddSignal.Add(Hist2D_Xoff_vs_Yoff_Data)
Hist2D_Xoff_vs_Yoff_CR_Raw_AddSignal.Add(Hist2D_Xoff_vs_Yoff_CR_Raw)
CalculateBkgHeightMethod(Hist2D_Xoff_vs_Yoff_CR,Hist2D_Xoff_vs_Yoff_Data_AddSignal,Hist2D_Xoff_vs_Yoff_CR_Raw_AddSignal,CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu)
if not add_signal:
CalculateBkgHeightMethod(Hist_theta2_CR,Hist_theta2_Data,Hist_theta2_CR_Raw,CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu)
else:
Hist_theta2_Data_AddSignal.Add(Hist_theta2_Data)
Hist_theta2_CR_Raw_AddSignal.Add(Hist_theta2_CR_Raw)
CalculateBkgHeightMethod(Hist_theta2_CR,Hist_theta2_Data_AddSignal,Hist_theta2_CR_Raw_AddSignal,CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu)
if not add_signal:
CalculateBkgHeightMethod(Hist_theta2_zoomin_CR,Hist_theta2_zoomin_Data,Hist_theta2_zoomin_CR_Raw,CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu)
else:
Hist_theta2_zoomin_Data_AddSignal.Add(Hist_theta2_zoomin_Data)
Hist_theta2_zoomin_CR_Raw_AddSignal.Add(Hist_theta2_zoomin_CR_Raw)
CalculateBkgHeightMethod(Hist_theta2_zoomin_CR,Hist_theta2_zoomin_Data_AddSignal,Hist_theta2_zoomin_CR_Raw_AddSignal,CR_attenu,err_CR_attenu,gamma_attenu,err_gamma_attenu)
Err_N_CR = ROOT.Double(0.)
N_CR = Hist_Erec_CR.IntegralAndError(1,Hist_Erec_CR.GetNbinsX(),Err_N_CR)
print 'Hist_Erec_CR.Integral() = (CR_raw - gamma_att*data)/(CR_att-gamma_att) = %s +/- %s'%(N_CR,Err_N_CR)
print 'Hist_Erec_Ring.Integral() = %s'%(Hist_Erec_Ring.Integral())
#print Hist_theta2_CR_Raw.Print("All")
#print Hist_theta2_CR.Print("All")
Hist_Erec_Data_Sum.Add(Hist_Erec_Data)
if add_signal:
Hist_Erec_Data_Sum_AddSignal.Add(Hist_Erec_Data_AddSignal)
Hist_Erec_Ring_Sum.Add(Hist_Erec_Ring)
Hist_Erec_CR_Sum.Add(Hist_Erec_CR)
Hist_Erec_Data_SumE.Add(Hist_Erec_Data)
if add_signal:
Hist_Erec_Data_SumE_AddSignal.Add(Hist_Erec_Data_AddSignal)
Hist_Erec_Ring_SumE.Add(Hist_Erec_Ring)
Hist_Erec_CR_SumE.Add(Hist_Erec_CR)
Hist2D_Xoff_vs_Yoff_Data_Sum.Add(Hist2D_Xoff_vs_Yoff_Data)
if add_signal:
Hist2D_Xoff_vs_Yoff_Data_Sum_AddSignal.Add(Hist2D_Xoff_vs_Yoff_Data_AddSignal)
Hist2D_Xoff_vs_Yoff_CR_Sum.Add(Hist2D_Xoff_vs_Yoff_CR)
Hist_theta2_Data_Sum.Add(Hist_theta2_Data)
if add_signal:
Hist_theta2_Data_Sum_AddSignal.Add(Hist_theta2_Data_AddSignal)
Hist_theta2_CR_Sum.Add(Hist_theta2_CR)
Hist_theta2_Data_SumE.Add(Hist_theta2_Data)
if add_signal:
Hist_theta2_Data_SumE_AddSignal.Add(Hist_theta2_Data_AddSignal)
Hist_theta2_CR_SumE.Add(Hist_theta2_CR)
Hist_theta2_zoomin_Data_Sum.Add(Hist_theta2_zoomin_Data)
if add_signal:
Hist_theta2_zoomin_Data_Sum_AddSignal.Add(Hist_theta2_zoomin_Data_AddSignal)
Hist_theta2_zoomin_CR_Sum.Add(Hist_theta2_zoomin_CR)
MakeATag()
OutputFile = ROOT.TFile("output/Histograms_%s_%s.root"%(target,tag_method),"update")
Hist_Erec_CR.Write("Hist_Energy_CR_%s"%(tag))
Hist_Erec_Data.Write("Hist_Energy_Data_%s"%(tag))
Hist_theta2_CR.Write("Hist_theta2_CR_%s"%(tag))
Hist_theta2_Data.Write("Hist_theta2_Data_%s"%(tag))
Hist_theta2_zoomin_CR.Write("Hist_theta2zoomin_CR_%s"%(tag))
Hist_theta2_zoomin_Data.Write("Hist_theta2zoomin_Data_%s"%(tag))
Hist2D_Xoff_vs_Yoff_CR.Write("Hist2D_XoffVsYoff_CR_%s"%(tag))
Hist2D_Xoff_vs_Yoff_Data.Write("Hist2D_XoffVsYoff_Data_%s"%(tag))
OutputFile.Close()
Hist_Norm_Data.Reset()
Hist_Norm_Ring.Reset()
Hist_Erec_CR.Reset()
Hist_Erec_CR_Raw.Reset()
Hist_Erec_CR_Raw_AddSignal.Reset()
Hist_Erec_Data.Reset()
Hist_Erec_Data_AddSignal.Reset()
Hist_Erec_Ring.Reset()
Hist2D_Xoff_vs_Yoff_Data.Reset()
Hist2D_Xoff_vs_Yoff_Data_AddSignal.Reset()
Hist2D_Xoff_vs_Yoff_CR.Reset()
Hist2D_Xoff_vs_Yoff_CR_Raw.Reset()
Hist2D_Xoff_vs_Yoff_CR_Raw_AddSignal.Reset()
Hist_theta2_Data.Reset()
Hist_theta2_Data_AddSignal.Reset()
Hist_theta2_CR.Reset()
Hist_theta2_CR_Raw.Reset()
Hist_theta2_CR_Raw_AddSignal.Reset()
Hist_theta2_zoomin_Data.Reset()
Hist_theta2_zoomin_Data_AddSignal.Reset()
Hist_theta2_zoomin_CR.Reset()
Hist_theta2_zoomin_CR_Raw.Reset()
Hist_theta2_zoomin_CR_Raw_AddSignal.Reset()
def MakeEfficiencyPlot(this_tag,xtitle):
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)
pad1.cd()
Hist_CR_Efficiency_list[0].GetXaxis().SetTitle(xtitle)
Hist_CR_Efficiency_list[0].GetYaxis().SetTitle('Bkg efficiency')
maxContent = 0.
for energy in range(0,len(energy_bins)-1):
maxContent = max(Hist_CR_Efficiency_list[energy].GetMaximum(),maxContent)
Hist_CR_Efficiency_list[0].SetMaximum(1.2*maxContent)
Hist_CR_Efficiency_list[0].SetMinimum(0)
Hist_CR_Efficiency_list[0].Draw("E")
for energy in range(0,len(energy_bins)-1):
Hist_CR_Efficiency_list[energy].SetLineColor(energy+2)
Hist_CR_Efficiency_list[energy].Draw("E same")
pad2.cd()
legend.Clear()
for energy in range(0,len(energy_bins)-1):
legend.AddEntry(Hist_CR_Efficiency_list[energy],'E %s-%s TeV'%(energy_bins[energy],energy_bins[energy+1]),"pl")
legend.Draw("SAME")
canvas2.SaveAs('output/CR_Efficiency_%s.pdf'%(this_tag))
def MakeAttenuationPlot(this_tag,xtitle):
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)
pad1.cd()
Hist_Gamma_Attenu[0].GetXaxis().SetTitle(xtitle)
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")
for energy in range(0,len(energy_bins)-1):
Hist_Gamma_Attenu[energy].SetLineColor(energy+2)
Hist_Gamma_Attenu[energy].Draw("E 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'%(this_tag))
pad1.cd()