def divideEtaTH1Ds(etaHist,
numCat,
sourceFileName=None,
categoryList=None,
drawHist=False):
# etaHist - the TH1D to split into categories
# numCat - number of tagging categories
# categoryList - list of tagging category names
# drawHist - whether or not to display each category-split histogram
# sourceFileName - name of etaHist root file
#normalize etaHist
etaHist.Scale(1.0 / etaHist.Integral())
#create default category names if none are given
if categoryList == None:
categoryList = []
for i in range(numCat):
categoryList += ["Cat" + str(i)]
histSum = etaHist.Integral()
#get list of limits
limList = [-1]
for i in range(1, numCat):
start = limList[i - 1] + 1
targetVal = histSum / numCat
left = start
right = etaHist.GetNbinsX()
#print "\n\n\n",etaHist.Integral(start,start+1),"\n\n\n\n";
while abs(left - right) > 1:
if etaHist.Integral(start, int((left + right) / 2)) > targetVal:
right = (left + right) / 2
else:
left = (left + right) / 2
#print start, left, right, etaHist.Integral(start,int((left+right)/2)),targetVal,",",
if abs(etaHist.Integral(start, left) -
targetVal) > abs(etaHist.Integral(start, right) - targetVal):
limList += [right]
else:
limList += [left]
limList[0] = 0
limList += [etaHist.GetNbinsX()]
print limList
#rangeFit is a 4-element TList containing:
# - the sourceFileName as element 0
# - a RooThresholdCategory as element 2, and its RooRealVar as element 1
# - a tList of tFitResult as element 3
rangeFit = TList()
rangeFit.AddLast(TObjString(sourceFileName))
rangeFit.AddLast(RooRealVar('x', 'x', 0.0, 1.0))
rangeFit.AddLast(
RooThresholdCategory("tageffRegion", "region of tageff",
rangeFit.At(1), "Cat" + str(numCat)))
rangeFit.AddLast(TList())
#plot each category-split histogram, if necessary
if drawHist == True:
ROOT.gStyle.SetPalette(ROOT.kOcean)
#create stack to contain the category TH1Ds
etaHistStack = THStack("etaHistStack", "Stack of TH1Ds")
#create category-masking function for TH1D clones
histCutterFunc = TF1("histCutterFunc",
"((x>=[0])?((x<[1])?1.0:0.0):0.0)", 0.0, 1.0)
for i in range(len(limList) - 1):
etaHistClone = etaHist.Clone()
histCutterFunc.SetParameter(
0,
etaHist.GetXaxis().GetBinCenter(limList[i]))
histCutterFunc.SetParameter(
1,
etaHist.GetXaxis().GetBinCenter(limList[i + 1]))
#histCutterFunc.Draw();
#raw_input("Press Enter to continue to next hisCutterFunc");
etaHistClone.Multiply(histCutterFunc)
etaHistClone.SetFillColor(38 + i)
etaHistStack.Add(etaHistClone)
etaHistClone = etaHist.Clone()
etaHistClone.SetFillColor(38 + len(limList))
#etaHistStack.Add(etaHistClone);
import time
os.chdir(os.environ['B2DXFITTERSROOT'] + '/tutorial')
if (not (os.path.isdir('fits'))):
os.mkdir('fits')
os.chdir('fits')
histCanvas = TCanvas()
etaHistStack.Draw("hist PFC")
#etaHistClone.Draw("hist PFC");
#histCanvas.SaveAs('tagRegionFitList_%f.pdf' % time.time());
#create thresholds and fitting functions (all linear, but with different ranges corresponding to the categories)
currentRangeTF1List = TList()
for i in range(1, numCat + 1):
if (i <= numCat):
rangeFit.At(2).addThreshold(
etaHist.GetXaxis().GetBinCenter(limList[i]),
categoryList[i - 1])
currentRangeTF1List.AddLast(
TF1(
"fitFuncEtaset", "[0]+[1]*(x-" + str(
etaHist.Integral(limList[i - 1], limList[i]) /
(limList[i] - limList[i - 1])) + ")",
etaHist.GetXaxis().GetBinCenter(limList[i - 1]),
etaHist.GetXaxis().GetBinCenter(limList[i])))
#currentRangeTF1 = TF1("fitFuncEtaset","[0]+[1]*x",etaHist.GetXaxis().GetBinCenter(limList[i-1]),etaHist.GetXaxis().GetBinCenter(limList[i]));
rangeFit.Last().AddLast(
etaHist.Fit(currentRangeTF1List.Last(), "R0S").Get().Clone())
if (drawHist == True):
currentRangeTF1List.Last().DrawCopy('same')
#raw_input('Press Enter to continue to next fit function');
#currentRangeTF1.IsA().Destructor(currentRangeTF1);
#print "P0, P1 = ",rangeFit.Last().Last().Parameter(0), rangeFit.Last().Last().Parameter(1);
histCanvas.SaveAs('tagRegionFitList_%f.pdf' % time.time())
currentRangeTF1List.Delete()
#for i in range(1,numCat+1):
#currentRangeTF1List.Last().IsA().Destructor(currentRangeTF1List.Last());
#s = raw_input("Press Enter to continue...");
return rangeFit
from ROOT import RooDataSet, RooArgSet
from ROOT import TList
mistagresultList = TList();
etaAvgList = TList();
print "**** ADDING CATEGORIES ****"
ds = ds.reduce("qt!=qt::Untagged");
xRegions = createCategoryHistogram(ds,ds.get().find('eta'),NUMCAT);
ds.addColumn(xRegions)
ds.table(xRegions).Print("v")
keepvars = [ds.get().find(name) for name in ['qt', 'qf', 'tageffRegion', 'time']]
for i in xrange(NUMCAT):
etaAvgList.AddLast(ds.reduce("tageffRegion == tageffRegion::Cat%u" % (i + 1,)).meanVar(ds.get().find('eta')));
etaAvg = ds.meanVar(ds.get().find('eta'));
dspercat = [ ds.reduce(RooArgSet(*keepvars),"tageffRegion == tageffRegion::Cat%u" % (i + 1,)) for i in xrange(NUMCAT) ]
i = 0
for dspc in dspercat:
print "**** CAT %u ****" % i
i = i + 1
dspc.Print("v")
#drawDsPlot(ds)
from math import sqrt
import random
#number of tagging categories
numTagCat = 5
#parse etaHist directory for .root files
for i in fileList[:1]:
if (i[-5:] != '.root'):
continue
print i
inFile = TFile(i)
inFile.GetListOfKeys().Print()
inFile.ls()
#s = raw_input("Press Enter to continue");
theTH1DHist = TH1F()
inFile.GetObject("etaHist", theTH1DHist)
mainResultList.AddLast(
divideEtaTH1Ds(theTH1DHist, numTagCat, i, None, True))
from ROOT import TFile
import time
os.chdir(os.environ['B2DXFITTERSROOT'] + '/tutorial')
if (not (os.path.isdir('fits'))):
os.mkdir('fits')
os.chdir('fits')
mainResultList.Print("", 5)
f = TFile('tagRegionFitList_%f.root' % time.time(), 'recreate')
f.WriteTObject(mainResultList, 'tagRegionFitList_%f' % time.time())
