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ROOTFileManager.py
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ROOTFileManager.py
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import ROOT
import unpack
import numpy
import array
import math
class ROOTFileManager(object):
def __init__(self):
#pass
self.count = 0
self.rootFile = ROOT.TFile("events.root","recreate")
def setupTree(self):
ROOT.gROOT.ProcessLine("struct TempDigit {\
Int_t event;\
Double_t x;\
Double_t y;\
Double_t z;\
Double_t t;\
Int_t pe;\
Int_t plane;\
Int_t current;\
Int_t interactionType;\
Int_t view;\
};")
ROOT.gROOT.ProcessLine("struct TempSpacePoint {\
Int_t event;\
Double_t x;\
Double_t y;\
Double_t z;\
};")
ROOT.gROOT.ProcessLine("struct TempPlane {\
Int_t event;\
Int_t view;\
Double_t z;\
Int_t planeNumber;\
Double_t totalPE;\
Double_t mean;\
Double_t hitA;\
Double_t variance;\
Double_t skewness;\
Double_t kurtosis;\
};")
ROOT.gROOT.ProcessLine("struct TempSheet {\
Int_t event;\
Double_t xMean;\
Double_t yMean;\
Double_t xExtrap;\
Double_t yExtrap;\
Double_t yWidth;\
Double_t xWidth;\
Double_t planeNumber;\
};")
ROOT.gROOT.ProcessLine("struct TempEvent {\
Int_t event;\
Int_t current;\
Int_t interactionType;\
Int_t pid;\
Double_t totalPE;\
Double_t nuE;\
Double_t recE;\
Int_t totalPlanes;\
Double_t xVar;\
Double_t yVar;\
Double_t coneAngle;\
Double_t coneDensity;\
Double_t vertexX;\
Double_t vertexY;\
Double_t vertexZ;\
};")
self.tempEvent = ROOT.TempEvent()
self.eventTree = ROOT.TTree("eventTree","eventTree")
self.eventTree.Branch("nuE",ROOT.AddressOf(self.tempEvent,"nuE"),"nuE/D")
self.eventTree.Branch("recE",ROOT.AddressOf(self.tempEvent,"recE"),"recE/D")
self.eventTree.Branch("totalPE",ROOT.AddressOf(self.tempEvent,"totalPE"),"totalPE/D")
self.eventTree.Branch("totalPlanes",ROOT.AddressOf(self.tempEvent,"totalPlanes"),"totalPlanes/I")
self.eventTree.Branch("current",ROOT.AddressOf(self.tempEvent,"current"),"current/I")
self.eventTree.Branch("interactionType",ROOT.AddressOf(self.tempEvent,"interactionType"),"type/I")
self.eventTree.Branch("pid",ROOT.AddressOf(self.tempEvent,"pid"),"pid/I")
self.eventTree.Branch("event",ROOT.AddressOf(self.tempEvent,"event"),"event/I")
self.eventTree.Branch("xVar",ROOT.AddressOf(self.tempEvent,"xVar"),"xVar/D")
self.eventTree.Branch("yVar",ROOT.AddressOf(self.tempEvent,"yVar"),"yVar/D")
self.eventTree.Branch("coneAngle",ROOT.AddressOf(self.tempEvent,"coneAngle"),"coneAngle/D")
self.eventTree.Branch("coneDensity",ROOT.AddressOf(self.tempEvent,"coneDensity"),"coneDensity/D")
self.eventTree.Branch("vertexx",ROOT.AddressOf(self.tempEvent,"vertexX"),"vertexx/D")
self.eventTree.Branch("vertexy",ROOT.AddressOf(self.tempEvent,"vertexY"),"vertexy/D")
self.eventTree.Branch("vertexz",ROOT.AddressOf(self.tempEvent,"vertexZ"),"vertexz/D")
self.tempDigit = ROOT.TempDigit()
self.tree = ROOT.TTree("tree","tree")
self.tree.Branch("event",ROOT.AddressOf(self.tempDigit,"event"),"event/I")
self.tree.Branch("current",ROOT.AddressOf(self.tempDigit,"current"),"current/I")
self.tree.Branch("interacionType",ROOT.AddressOf(self.tempDigit,"interactionType"),"interactionType/I")
self.tree.Branch("view",ROOT.AddressOf(self.tempDigit,"view"),"view/I")
self.tree.Branch("x",ROOT.AddressOf(self.tempDigit,"x"),"x/D")
self.tree.Branch("y",ROOT.AddressOf(self.tempDigit,"y"),"y/D")
self.tree.Branch("z",ROOT.AddressOf(self.tempDigit,"z"),"z/D")
self.tree.Branch("t",ROOT.AddressOf(self.tempDigit,"t"),"t/D")
self.tree.Branch("pe",ROOT.AddressOf(self.tempDigit,"pe"),"pe/I")
self.tree.Branch("plane",ROOT.AddressOf(self.tempDigit,"plane"),"plane/I")
self.tempSpacePoint = ROOT.TempSpacePoint()
self.pointTree = ROOT.TTree("points","points")
self.pointTree.Branch("event",ROOT.AddressOf(self.tempSpacePoint,"event"),"event/I")
self.pointTree.Branch("x",ROOT.AddressOf(self.tempSpacePoint,"x"),"x/D")
self.pointTree.Branch("y",ROOT.AddressOf(self.tempSpacePoint,"y"),"y/D")
self.pointTree.Branch("z",ROOT.AddressOf(self.tempSpacePoint,"z"),"z/D")
self.planeTree = ROOT.TTree("planes","planes")
self.tempPlane = ROOT.TempPlane()
self.planeTree.Branch("z",ROOT.AddressOf(self.tempPlane,"z"),"z/D")
self.planeTree.Branch("pe",ROOT.AddressOf(self.tempPlane,"totalPE"),"pe/D")
self.planeTree.Branch("event",ROOT.AddressOf(self.tempPlane,"event"),"event/I")
self.planeTree.Branch("view",ROOT.AddressOf(self.tempPlane,"view"),"view/I")
self.planeTree.Branch("mean",ROOT.AddressOf(self.tempPlane,"mean"),"mean/D")
self.planeTree.Branch("hitA",ROOT.AddressOf(self.tempPlane,"hitA"),"hitA/D")
self.planeTree.Branch("variance",ROOT.AddressOf(self.tempPlane,"variance"),"variance/D")
self.planeTree.Branch("plane",ROOT.AddressOf(self.tempPlane,"planeNumber"),"plane/I")
self.planeTree.Branch("skewness",ROOT.AddressOf(self.tempPlane,"skewness"),"skewness/D")
self.planeTree.Branch("kurtosis",ROOT.AddressOf(self.tempPlane,"kurtosis"),"kurtosis/D")
self.sheetTree = ROOT.TTree("sheets","sheets")
self.tempSheet = ROOT.TempSheet()
self.sheetTree.Branch("xMean",ROOT.AddressOf(self.tempSheet,"xMean"),"xMean/D")
self.sheetTree.Branch("yMean",ROOT.AddressOf(self.tempSheet,"yMean"),"yMean/D")
self.sheetTree.Branch("xExtrap",ROOT.AddressOf(self.tempSheet,"xExtrap"),"xExtrap/D")
self.sheetTree.Branch("yExtrap",ROOT.AddressOf(self.tempSheet,"yExtrap"),"yExtrap/D")
self.sheetTree.Branch("event",ROOT.AddressOf(self.tempSheet,"event"),"event/I")
self.sheetTree.Branch("planeNumber",ROOT.AddressOf(self.tempSheet,"planeNumber"),"planeNumber/D")
self.ccxVarw = ROOT.TH1F("ccxvarw","ccxvarw",100,0,1000)
self.ncxVarw = ROOT.TH1F("ncxvarw","ncxvarw",100,0,1000)
self.ccxVar = ROOT.TH1F("ccxvar","ccxvar",100,0,1000)
self.ncxVar = ROOT.TH1F("ncxvar","ncxvar",100,0,1000)
self.ccTotalPE = ROOT.TH1F("cctotalpe","cctotalpe",5000,0,50000)
self.ncTotalPE = ROOT.TH1F("nctotalpe","nctotalpe",5000,0,50000)
self.ccyVar = ROOT.TH1F("ccyvar","ccyvar",100,0,1000)
self.ncyVar = ROOT.TH1F("ncyvar","ncyvar",100,0,1000)
self.ccyVarw = ROOT.TH1F("ccyvarw","ccyvarw",100,0,1000)
self.ncyVarw = ROOT.TH1F("ncyvarw","ncyvarw",100,0,1000)
self.ccDEVariation = ROOT.TH1F("ccdevar","ccdevar",1000,0,100)
self.ncDEVariation = ROOT.TH1F("ncdevar","ncdevar",1000,0,100)
self.ccMeanPE = ROOT.TH1F("ccmeanpe","ccmeanpe",1000,0,10000)
self.ncMeanPE = ROOT.TH1F("ncmeanpe","ncmeanpe",1000,0,10000)
self.ncDensity = ROOT.TH1F("ncdensity","ncdensity",100,0,1.0)
self.ccDensity = ROOT.TH1F("ccdensity","ccdensity",100,0,1.0)
self.ccMoliere = ROOT.TH2F("ccmol","ccmol",100,-50,50,1000,0.0,1.0)
self.ncMoliere = ROOT.TH2F("ncmol","ncmol",100,-50,50,1000,0.0,1.0)
def fill(self, ev):
#for ev in events:
totalPE = 0.0
for digit in ev.digits:
self.tempDigit.current = ev.current
self.tempDigit.x = digit.x
self.tempDigit.y = digit.y
self.tempDigit.z = digit.z
self.tempDigit.t = digit.t
self.tempDigit.pe = digit.pe
self.tempDigit.interactionType = digit.interactionType
#print digit.pe
totalPE += digit.pe
self.tempDigit.event = digit.event
self.tempDigit.plane = digit.plane
if (digit.view == "X"):
self.tempDigit.view = 0
else:
self.tempDigit.view = 1
self.tree.Fill()
print totalPE
self.tempEvent.coneAngle = ev.coneAngle
self.tempEvent.coneDensity = ev.reconstructedVariables["coneDensity"]
self.tempEvent.recE = ev.reconstructedVariables["neutrinoEnergy"]
self.tempEvent.pid = ev.reconstructedVariables["pid"]
self.tempEvent.interactionType = ev.interactionType
self.tempEvent.vertexX = ev.vertexX
self.tempEvent.vertexY = ev.vertexY
self.tempEvent.vertexZ = ev.vertexZ
self.tempEvent.event = self.count
self.tempEvent.totalPlanes = ev.stats["consecutivePlanes"]
self.tempEvent.xVar = ev.stats["xVar"]
if (ev.current == 1):
#for key in ev.reconstructedVariables["chargeCaptured"]:
# self.ccMoliere.Fill(key, ev.reconstructedVariables["chargeCaptured"][key])
for x in range(0,int(ev.stats["xVar"]),10):
self.ccxVar.Fill(x)
for y in range(0,int(ev.stats["yVar"]),10):
self.ccyVar.Fill(y)
for xw in range(0,int(ev.stats["xVarw"]),10):
self.ccxVarw.Fill(xw)
for yw in range(0,int(ev.stats["yVarw"]),10):
self.ccyVarw.Fill(yw)
for pe in range(0,int(totalPE),10):
self.ccTotalPE.Fill(pe)
for mpe in range(0,int(ev.stats["meanPE"]),10):
self.ccMeanPE.Fill(mpe)
for pevar in [0.1*x for x in range(0,10*int(ev.stats["deVariation"]))]:
self.ccDEVariation.Fill(pevar)
for den in [0.01*x for x in range(0,int(100*ev.reconstructedVariables["coneDensity"]))]:
self.ccDensity.Fill(den)
if (ev.current == 0):
#for key in ev.reconstructedVariables["chargeCaptured"]:
# self.ncMoliere.Fill(key, ev.reconstructedVariables["chargeCaptured"][key])
for x in range(0,int(ev.stats["xVar"]),10):
self.ncxVar.Fill(x)
for y in range(0,int(ev.stats["yVar"]),10):
self.ncyVar.Fill(y)
for xw in range(0,int(ev.stats["xVarw"]),10):
self.ncxVarw.Fill(xw)
for yw in range(0,int(ev.stats["yVarw"]),10):
self.ncyVarw.Fill(yw)
for pe in range(0,int(totalPE),10):
self.ncTotalPE.Fill(pe)
for mpe in range(0,int(ev.stats["meanPE"]),10):
self.ncMeanPE.Fill(mpe)
for pevar in [0.1*x for x in range(0,10*int(ev.stats["deVariation"]))]:
self.ncDEVariation.Fill(pevar)
for den in [0.01*x for x in range(0,int(100*ev.reconstructedVariables["coneDensity"]))]:
self.ncDensity.Fill(den)
self.tempEvent.yVar = ev.stats["yVar"]
self.tempEvent.totalPE = totalPE
self.tempEvent.nuE = ev.nuEnergy
self.tempEvent.current = ev.current
print ev.current
self.eventTree.Fill()
for point in ev.spacePoints:
self.tempSpacePoint.event = self.count#getattr(point,"event")
self.tempSpacePoint.x = getattr(point,"x")
self.tempSpacePoint.y = getattr(point,"y")
self.tempSpacePoint.z = getattr(point,"z")
self.pointTree.Fill()
for planeKey in ev.planes:
planeNo = ev.planes[planeKey]
for view in ['X','Y']:
plane = planeNo[view]
hits = plane.nFoundPeaks
if hits > 100:
hits = 100
print "HITS ",
print hits
if hits > 0:
for hit in range(hits):
if plane.view == "X":
self.tempPlane.view = 0
else:
self.tempPlane.view = 1
self.tempPlane.hitA = plane.showerPoints[hit]
self.tempPlane.mean = plane.mean
self.tempPlane.event = plane.event
self.tempPlane.variance = plane.variance
self.tempPlane.totalPE = plane.totalPE
self.tempPlane.planeNumber = plane.planeNumber
self.planeTree.Fill()
for sheetKey in ev.sheets:
sheet = ev.sheets[sheetKey]
self.tempSheet.planeNumber = sheet.planeNumber
self.tempSheet.event = sheet.event
self.tempSheet.xMean = sheet.xMean
self.tempSheet.yMean = sheet.yMean
self.tempSheet.xExtrap = sheet.extrapolation["X"]
self.tempSheet.yExtrap = sheet.extrapolation["Y"]
self.sheetTree.Fill()
self.count += 1
#count += 1
#self.rootFile.Write()
def write(self):
self.rootFile.Write()
def makeGraphs(self, event, count):
xMeans = array.array('f')
xWidths = array.array('f')
planes = array.array('f')
totalPE = array.array('f')
planeErrors = array.array('f')
self.graphs = {}
name = str(count) + "-" + str(event.current)
self.graphs["showerHistogram"] = ROOT.TH1F(name,name,2000,-1000,1000)
for sheetKey in event.sheets:
sheet = event.sheets[sheetKey]
self.graphs["showerHistogram"].Fill(sheet.planeNumber, sheet.totalPE)
planes.append(sheet.planeNumber)
planeErrors.append(0.0)
xMeans.append(sheet.xMean)
xWidths.append(sheet.covariance[0][0])
self.graphs["shower"] = ROOT.TGraphErrors(len(xMeans), planes, xMeans, planeErrors,xWidths)
self.graphs["shower"].SetName(str(count))
self.graphs["shower"].Write()
# self.graphs["showerHistogram"].Fit("gaus")
self.graphs["showerHistogram"].Write()
def prepareCharacterisation(self):
self.ncDepthHist = ROOT.TH1F("nc_depth","nc_depth",100,0,100)
self.ccDepthHist = ROOT.TH1F("cc_depth","cc_depth",100,0,100)
self.deHist = ROOT.TH2F("de","de",100,0,100,1000,0,1000)
self.ccdeHist = ROOT.TH2F("ccde","ccde",100,0,100,1000,0,1000)
self.ncdeHist = ROOT.TH2F("ncde","ncde",100,0,100,1000,0,1000)
sheetNo = 0
self.sheetNCHistograms = []
self.sheetNCHistograms.append(ROOT.TH1F("de-" + str(sheetNo),str(sheetNo),1000,0,1000))
self.sheetCCHistograms = []
self.sheetCCHistograms.append(ROOT.TH1F("de-" + str(sheetNo),str(sheetNo),1000,0,1000))
self.sheetNCVarHistograms = []
self.sheetNCVarHistograms.append(ROOT.TH1F("var-" + str(sheetNo),str(sheetNo),1000,0,1000))
self.sheetCCVarHistograms = []
self.sheetCCVarHistograms.append(ROOT.TH1F("var-" + str(sheetNo),str(sheetNo),1000,0,1000))
def characteriseEvent(self, event):
if (event.current == 0):
sheetNo = 0
for sheetKey in event.sheets:
#print sheetNo, len(sheetNCHistograms)
if (sheetNo >= len(self.sheetNCHistograms)):
print "Adding new hist"
self.sheetNCHistograms.append(ROOT.TH1F("de-" + str(sheetNo),str(sheetNo),1000,0,1000))
self.sheetNCVarHistograms.append(ROOT.TH1F("var-" + str(sheetNo),str(sheetNo),1000,0,1000))
#print sheetNo, len(self.sheetNCHistograms)
sheet = event.sheets[sheetKey]
self.sheetNCHistograms[sheetNo].Fill(sheet.totalPE)
self.sheetNCVarHistograms[sheetNo].Fill(sheet.covariance[0][0], sheet.totalPE)
self.deHist.Fill(sheetNo,sheet.totalPE)
self.ncdeHist.Fill(sheetNo,sheet.totalPE)
self.ncDepthHist.Fill(sheetNo)
sheetNo += 1
if (event.current == 1):
sheetNo = 0
for sheetKey in event.sheets:
#print sheetNo, len(sheetCCHistograms)
if (sheetNo >= len(self.sheetCCHistograms)):
print "Adding new hist"
self.sheetCCVarHistograms.append(ROOT.TH1F("var-" + str(sheetNo),str(sheetNo),1000,0,1000))
self.sheetCCHistograms.append(ROOT.TH1F("de-"+str(sheetNo),str(sheetNo),1000,0,1000))
#print sheetNo, len(sheetCCHistograms)
sheet = event.sheets[sheetKey]
self.sheetCCHistograms[sheetNo].Fill(sheet.totalPE)
self.sheetCCVarHistograms[sheetNo].Fill(sheet.covariance[0][0], sheet.totalPE)
self.deHist.Fill(sheetNo,sheet.totalPE)
self.ccdeHist.Fill(sheetNo,sheet.totalPE)
self.ccDepthHist.Fill(sheetNo)
sheetNo += 1
def finishCharacterisation(self):
h = 0
cGraphs = []
nclayers = array.array('f')
ncmeanDEs = array.array('f')
ncvarianceDEs = array.array('f')
nclayerEs = array.array('f')
ncvlayers = array.array('f')
ncvVars = array.array('f')
ncvVarsE = array.array('f')
ncvlayerEs = array.array('f')
for hist in self.sheetNCHistograms:
nclayers.append(h)
ncmeanDEs.append(hist.GetMean())
try:
ncvarianceDEs.append(hist.GetMean() / math.sqrt(hist.GetEntries()))
except:
ncvarianceDEs.append(0.0)
nclayerEs.append(0.0)
h += 1
del hist
h = 0
for vhist in self.sheetNCVarHistograms:
#Variances
ncvlayers.append(h)
ncvVars.append(vhist.GetMean())
try:
ncvVarsE.append(vhist.GetMean() / math.sqrt(vhist.GetEntries()))
except:
ncvVarsE.append(0.0)
ncvlayerEs.append(0.0)
h += 1
del vhist
meanDEGraph = ROOT.TGraphErrors(len(nclayers), nclayers, ncmeanDEs, nclayerEs, ncvarianceDEs)
meanDEGraph.SetName("NCmeanDE")
ncvarGraph = ROOT.TGraphErrors(len(ncvlayers), ncvlayers, ncvVars, ncvlayerEs, ncvVarsE)
ncvarGraph.SetName("NCVar")
ccvlayers = array.array('f')
ccvVars = array.array('f')
ccvVarsE = array.array('f')
ccvlayerEs = array.array('f')
cclayers = array.array('f')
ccmeanDEs = array.array('f')
ccvarianceDEs = array.array('f')
cclayerEs = array.array('f')
h = 0
for hist in self.sheetCCHistograms:
cclayers.append(h)
ccmeanDEs.append(hist.GetMean())
try:
ccvarianceDEs.append(hist.GetMean() / math.sqrt(hist.GetEntries()))
except:
ccvarianceDEs.append(0.0)
cclayerEs.append(0.0)
h += 1
del hist
h = 0
for vhist in self.sheetCCVarHistograms:
#Variances
ccvlayers.append(h)
ccvVars.append(vhist.GetMean())
try:
ccvVarsE.append(vhist.GetMean() / math.sqrt(vhist.GetEntries()))
except:
ccvVarsE.append(0.0)
ccvlayerEs.append(0.0)
h += 1
del vhist
#print "CHECKING"
#print vhist.GetMean()
#self.rootFile = ROOT.TFile("events.root","recreate")
ccmeanDEGraph = ROOT.TGraphErrors(len(cclayers), cclayers, ccmeanDEs, cclayerEs, ccvarianceDEs)
ccmeanDEGraph.SetName("CCmeanDE")
ccmeanDEGraph.Write()
self.deHist.Write()
self.ccdeHist.Write()
self.ncdeHist.Write()
ccvarGraph = ROOT.TGraphErrors(len(ccvlayers), ccvlayers, ccvVars, ccvlayerEs, ccvVarsE)
ccvarGraph.SetName("CCVar")
ccvarGraph.Write()
self.ncDepthHist.Write()
self.ccDepthHist.Write()
meanDEGraph.Write()
ncvarGraph.Write()
def characterise(self, events):
ncDepthHist = ROOT.TH1F("nc_depth","nc_depth",100,0,100)
ccDepthHist = ROOT.TH1F("cc_depth","cc_depth",100,0,100)
deHist = ROOT.TH2F("de","de",100,0,100,1000,0,1000)
sheetNo = 0
sheetNCHistograms = []
sheetNCHistograms.append(ROOT.TH1F("de-" + str(sheetNo),str(sheetNo),1000,0,1000))
sheetCCHistograms = []
sheetCCHistograms.append(ROOT.TH1F("de-" + str(sheetNo),str(sheetNo),1000,0,1000))
sheetNCVarHistograms = []
sheetNCVarHistograms.append(ROOT.TH1F("var-" + str(sheetNo),str(sheetNo),1000,0,1000))
sheetCCVarHistograms = []
sheetCCVarHistograms.append(ROOT.TH1F("var-" + str(sheetNo),str(sheetNo),1000,0,1000))
h = 0
cGraphs = []
nclayers = array.array('f')
ncmeanDEs = array.array('f')
ncvarianceDEs = array.array('f')
nclayerEs = array.array('f')
ncvlayers = array.array('f')
ncvVars = array.array('f')
ncvVarsE = array.array('f')
ncvlayerEs = array.array('f')
print len(sheetNCHistograms)
for event in events:
if (event.current == 0):
sheetNo = 0
for sheetKey in event.sheets:
print sheetNo, len(sheetNCHistograms)
if (sheetNo >= len(sheetNCHistograms)):
print "Adding new hist"
sheetNCHistograms.append(ROOT.TH1F("de-" + str(sheetNo),str(sheetNo),1000,0,1000))
sheetNCVarHistograms.append(ROOT.TH1F("var-" + str(sheetNo),str(sheetNo),1000,0,1000))
print sheetNo, len(sheetNCHistograms)
sheet = event.sheets[sheetKey]
sheetNCHistograms[sheetNo].Fill(sheet.totalPE)
sheetNCVarHistograms[sheetNo].Fill(sheet.covariance[0][0], sheet.totalPE)
deHist.Fill(sheetNo,sheet.totalPE)
ncDepthHist.Fill(sheetNo)
sheetNo += 1
if (event.current == 1):
sheetNo = 0
for sheetKey in event.sheets:
print sheetNo, len(sheetCCHistograms)
if (sheetNo >= len(sheetCCHistograms)):
print "Adding new hist"
sheetCCVarHistograms.append(ROOT.TH1F("var-" + str(sheetNo),str(sheetNo),1000,0,1000))
sheetCCHistograms.append(ROOT.TH1F("de-"+str(sheetNo),str(sheetNo),1000,0,1000))
print sheetNo, len(sheetCCHistograms)
sheet = event.sheets[sheetKey]
sheetCCHistograms[sheetNo].Fill(sheet.totalPE)
sheetCCVarHistograms[sheetNo].Fill(sheet.covariance[0][0], sheet.totalPE)
deHist.Fill(sheetNo,sheet.totalPE)
ccDepthHist.Fill(sheetNo)
sheetNo += 1
for hist in sheetNCHistograms:
nclayers.append(h)
ncmeanDEs.append(hist.GetMean())
ncvarianceDEs.append(hist.GetMean() / math.sqrt(hist.GetEntries()))
nclayerEs.append(0.0)
h += 1
h = 0
for vhist in sheetNCVarHistograms:
#Variances
ncvlayers.append(h)
ncvVars.append(vhist.GetMean())
ncvVarsE.append(vhist.GetMean() / math.sqrt(vhist.GetEntries()))
ncvlayerEs.append(0.0)
h += 1
meanDEGraph = ROOT.TGraphErrors(len(nclayers), nclayers, ncmeanDEs, nclayerEs, ncvarianceDEs)
meanDEGraph.SetName("NCmeanDE")
meanDEGraph.Write()
ncvarGraph = ROOT.TGraphErrors(len(ncvlayers), ncvlayers, ncvVars, ncvlayerEs, ncvVarsE)
ncvarGraph.SetName("NCVar")
ncvarGraph.Write()
ccvlayers = array.array('f')
ccvVars = array.array('f')
ccvVarsE = array.array('f')
ccvlayerEs = array.array('f')
cclayers = array.array('f')
ccmeanDEs = array.array('f')
ccvarianceDEs = array.array('f')
cclayerEs = array.array('f')
h = 0
for hist in sheetCCHistograms:
cclayers.append(h)
ccmeanDEs.append(hist.GetMean())
ccvarianceDEs.append(hist.GetMean() / math.sqrt(hist.GetEntries()))
cclayerEs.append(0.0)
h += 1
h = 0
for vhist in sheetCCVarHistograms:
#Variances
ccvlayers.append(h)
ccvVars.append(vhist.GetMean())
ccvVarsE.append(vhist.GetMean() / math.sqrt(vhist.GetEntries()))
ccvlayerEs.append(0.0)
h += 1
ccmeanDEGraph = ROOT.TGraphErrors(len(cclayers), cclayers, ccmeanDEs, cclayerEs, ccvarianceDEs)
ccmeanDEGraph.SetName("CCmeanDE")
ccmeanDEGraph.Write()
deHist.Write()
ccvarGraph = ROOT.TGraphErrors(len(ccvlayers), ccvlayers, ccvVars, ccvlayerEs, ccvVarsE)
ccvarGraph.SetName("CCVar")
ccvarGraph.Write()
ncDepthHist.Write()
ccDepthHist.Write()