closure = Closure()
closure.fillData('True', input_files, treeTrue, 'mvis', 'Weight', global_weights)
closure.fillData('Est', input_files, treeEst, 'mvis', 'Weight', global_weights)
closure.computeCDF('True')
closure.computeCDF('Est')
for name,bins in mvis_bins.items():
plotClosure(fakeType+'_'+name, closure, bins, doErrors=True)
#for nbins in [100,50,25]:
#cdf = closure.data['True']['CDFInvert']
#bins = [cdf.Eval(i/float(nbins)) for i in xrange(nbins+1)]
#plotClosure(fakeType+'_NBins'+str(nbins), closure, bins)
plotSummary(fakeType, closure, 0, 600)
#
writeNonClosure(closure, output_file, '{FAKETYPE}_Histo_Smooth_Ratio'.format(FAKETYPE=fakeType))
#canvas.Write()
##cdfTrue.SetName('{FAKETYPE}_CDF_True'.format(FAKETYPE=fakeType))
##cdfEst.SetName('{FAKETYPE}_CDF_Est'.format(FAKETYPE=fakeType))
#histoTrue.SetName('{FAKETYPE}_Histo_True_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoEst.SetName('{FAKETYPE}_Histo_Est_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoDiff.SetName('{FAKETYPE}_Histo_Diff_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothDiff.SetName('{FAKETYPE}_Histo_Smooth_Diff_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoRatio.SetName('{FAKETYPE}_Histo_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothRatio.SetName('{FAKETYPE}_Histo_Smooth_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothRatioError.SetName('{FAKETYPE}_Histo_SmoothError_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
##cdfTrue.Write()
closure.computeCDF('True')
closure.computeCDF('Est')
forceLowMTLinearDistance(closure, 'True')
forceLowMTLinearDistance(closure, 'Est')
for name,bins in mt_bins.items():
plotClosure(fakeType+'_'+name, closure, bins, smoothWidth=0.1, kernelDistance='Adapt', doErrors=True, xTitle='m_{T} [GeV]')
#for nbins in [100,50,25]:
#cdf = closure.data['True']['CDFInvert']
#bins = [cdf.Eval(i/float(nbins)) for i in xrange(nbins+1)]
#plotClosure(fakeType+'_NBins'+str(nbins), closure, bins)
plotSummary(fakeType, closure, 0, 250, xTitle='m_{T} [GeV]')
output_file.cd()
writeCorrectionAnderrors(closure, output_file)
#closure.data['True']['CDF'].Write()
#closure.data['Est']['CDF'].Write()
#canvas.Write()
##cdfTrue.SetName('{FAKETYPE}_CDF_True'.format(FAKETYPE=fakeType))
##cdfEst.SetName('{FAKETYPE}_CDF_Est'.format(FAKETYPE=fakeType))
#histoTrue.SetName('{FAKETYPE}_Histo_True_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoEst.SetName('{FAKETYPE}_Histo_Est_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoDiff.SetName('{FAKETYPE}_Histo_Diff_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothDiff.SetName('{FAKETYPE}_Histo_Smooth_Diff_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoRatio.SetName('{FAKETYPE}_Histo_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
closure = Closure()
closure.fillData('True', input_files, treeTrue, 'mvis', 'Weight', global_weights)
closure.fillData('Est', input_files, treeEst, 'mvis', 'Weight', global_weights)
closure.computeCDF('True')
closure.computeCDF('Est')
for name,bins in mvis_bins.items():
plotClosure(fakeType+'_'+name, closure, bins, doErrors=True)
#for nbins in [100,50,25]:
#cdf = closure.data['True']['CDFInvert']
#bins = [cdf.Eval(i/float(nbins)) for i in xrange(nbins+1)]
#plotClosure(fakeType+'_NBins'+str(nbins), closure, bins)
plotSummary(fakeType, closure, 0, 350)
#
writeNonClosure(closure, output_file, '{FAKETYPE}_Histo_Smooth_Ratio'.format(FAKETYPE=fakeType))
#canvas.Write()
##cdfTrue.SetName('{FAKETYPE}_CDF_True'.format(FAKETYPE=fakeType))
##cdfEst.SetName('{FAKETYPE}_CDF_Est'.format(FAKETYPE=fakeType))
#histoTrue.SetName('{FAKETYPE}_Histo_True_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoEst.SetName('{FAKETYPE}_Histo_Est_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoDiff.SetName('{FAKETYPE}_Histo_Diff_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothDiff.SetName('{FAKETYPE}_Histo_Smooth_Diff_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoRatio.SetName('{FAKETYPE}_Histo_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothRatio.SetName('{FAKETYPE}_Histo_Smooth_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothRatioError.SetName('{FAKETYPE}_Histo_SmoothError_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
##cdfTrue.Write()
for name, bins in mt_bins.items():
plotClosure(fakeType + '_' + name,
closure,
bins,
smoothWidth=0.1,
kernelDistance='Adapt',
doErrors=True,
xTitle='m_{T} [GeV]')
#for nbins in [100,50,25]:
#cdf = closure.data['True']['CDFInvert']
#bins = [cdf.Eval(i/float(nbins)) for i in xrange(nbins+1)]
#plotClosure(fakeType+'_NBins'+str(nbins), closure, bins)
plotSummary(fakeType, closure, 0, 250, xTitle='m_{T} [GeV]')
output_file.cd()
writeCorrectionAnderrors(closure, output_file)
#closure.data['True']['CDF'].Write()
#closure.data['Est']['CDF'].Write()
#canvas.Write()
##cdfTrue.SetName('{FAKETYPE}_CDF_True'.format(FAKETYPE=fakeType))
##cdfEst.SetName('{FAKETYPE}_CDF_Est'.format(FAKETYPE=fakeType))
#histoTrue.SetName('{FAKETYPE}_Histo_True_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoEst.SetName('{FAKETYPE}_Histo_Est_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoDiff.SetName('{FAKETYPE}_Histo_Diff_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothDiff.SetName('{FAKETYPE}_Histo_Smooth_Diff_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoRatio.SetName('{FAKETYPE}_Histo_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothRatio.SetName('{FAKETYPE}_Histo_Smooth_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
global_weights)
closure.fillData('Est', input_files, treeEst, 'mvis', 'Weight',
global_weights)
closure.computeCDF('True')
closure.computeCDF('Est')
for name, bins in mvis_bins.items():
plotClosure(fakeType + '_' + name, closure, bins, doErrors=True)
#for nbins in [100,50,25]:
#cdf = closure.data['True']['CDFInvert']
#bins = [cdf.Eval(i/float(nbins)) for i in xrange(nbins+1)]
#plotClosure(fakeType+'_NBins'+str(nbins), closure, bins)
plotSummary(fakeType, closure, 0, 600)
#
writeNonClosure(closure, output_file,
'{FAKETYPE}_Histo_Smooth_Ratio'.format(FAKETYPE=fakeType))
#canvas.Write()
##cdfTrue.SetName('{FAKETYPE}_CDF_True'.format(FAKETYPE=fakeType))
##cdfEst.SetName('{FAKETYPE}_CDF_Est'.format(FAKETYPE=fakeType))
#histoTrue.SetName('{FAKETYPE}_Histo_True_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoEst.SetName('{FAKETYPE}_Histo_Est_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoDiff.SetName('{FAKETYPE}_Histo_Diff_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothDiff.SetName('{FAKETYPE}_Histo_Smooth_Diff_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoRatio.SetName('{FAKETYPE}_Histo_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothRatio.SetName('{FAKETYPE}_Histo_Smooth_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
#histoSmoothRatioError.SetName('{FAKETYPE}_Histo_SmoothError_Ratio_{H}'.format(FAKETYPE=fakeType,H=binid))
