def getPdfInRegionsWithRangeName(w,sample,region,rangeName):
"""
Should be moved to $HF/src/Utils.h -- FIXME
"""
if isinstance(sample,list):
sampleArgList = RooArgList()
sample_str="group"
for s in sample:
componentTmp = Util.GetComponent(w,s,region,True,rangeName)
sample_str=sample_str+"_"+s
sampleArgList.add(componentTmp)
pass
pdfInRegion = RooAddition(sample_str,sample_str,sampleArgList)
else:
pdfInRegion = Util.GetComponent(w,sample,region,False,rangeName)
pass
return pdfInRegion
def getPdfInRegions(w,sample,region):
"""
Return the PDF in a region for a sample
Should be moved to $HF/src/Utils.h -- FIXME
@param sample The sample to find
@param region The region to use
"""
if isinstance(sample,list):
sampleArgList = RooArgList()
sample_str="group"
for s in sample:
componentTmp = Util.GetComponent(w,s,region,True)
sample_str=sample_str+"_"+s
sampleArgList.add(componentTmp)
pass
pdfInRegion = RooAddition(sample_str,sample_str,sampleArgList)
else:
pdfInRegion = Util.GetComponent(w,sample,region)
pass
return pdfInRegion
def latexfitresults_method2(filename,
resultname='RooExpandedFitResult_afterFit',
region='3jL',
sample='',
fitregions='WR,TR,S3,S4,SR3jT,SR4jT',
dataname='obsData'):
# namemap = {}
# namemap = getnamemap()
############################################
w = Util.GetWorkspaceFromFile(filename, 'w')
if w == None:
print "ERROR : Cannot open workspace : "
sys.exit(1)
result = w.obj(resultname)
if result == None:
print "ERROR : Cannot open fit result : ", resultname
sys.exit(1)
resultlistOrig = result.floatParsFinal()
snapshot = 'snapshot_paramsVals_' + resultname
w.loadSnapshot(snapshot)
data_set = w.data(dataname)
if data_set == None:
print "ERROR : Cannot open dataset : ", "data_set"
sys.exit(1)
regionCat = w.obj("channelCat")
data_set.table(regionCat).Print("v")
regionFullName = Util.GetFullRegionName(regionCat, region)
fitRegionsList = fitregions.split(",")
fitRegionsFullName = ""
for reg in fitRegionsList:
regFullName = Util.GetFullRegionName(regionCat, reg)
if fitRegionsFullName == "":
fitRegionsFullName = regFullName.Data()
else:
fitRegionsFullName = fitRegionsFullName + "," + regFullName.Data()
chosenSample = False
if sample is not '':
chosenSample = True
#####################################################
regSys = {}
regionCatStr = 'channelCat==channelCat::' + regionFullName.Data()
dataRegion = data_set.reduce(regionCatStr)
nobsRegion = 0.
if dataRegion:
nobsRegion = dataRegion.sumEntries()
else:
print " ERROR : dataset-category", regionCatStr, " not found"
if chosenSample:
regSys['sqrtnobsa'] = 0.
else:
regSys['sqrtnobsa'] = TMath.Sqrt(nobsRegion)
####
if chosenSample:
pdfInRegion = Util.GetComponent(w, sample, region)
else:
rawPdfInRegion = Util.GetRegionPdf(w, region)
varInRegion = Util.GetRegionVar(w, region)
prodList = rawPdfInRegion.pdfList()
foundRRS = 0
for idx in range(prodList.getSize()):
if prodList[idx].InheritsFrom("RooRealSumPdf"):
rrspdfInt = prodList[idx].createIntegral(
RooArgSet(varInRegion))
pdfInRegion = rrspdfInt
foundRRS += 1
if foundRRS > 1 or foundRRS == 0:
print " \n\n WARNING: ", pdf.GetName(
), " has ", foundRRS, " instances of RooRealSumPdf"
print pdf.GetName(), " component list:", prodList.Print("v")
if not pdfInRegion:
if chosenSample:
print " \n Warning, could not find pdf in region = ", region, " for sample = ", sample
else:
print " \n Warning, could not find pdf in region = ", region
nFittedInRegion = pdfInRegion.getVal()
regSys['sqrtnfitted'] = TMath.Sqrt(nFittedInRegion)
pdfFittedErrInRegion = Util.GetPropagatedError(pdfInRegion, result)
regSys['totsyserr'] = pdfFittedErrInRegion
# redo the fit for every parameter being fixed
lumiConst = True
fpf = result.floatParsFinal()
# redo the fit for every parameter being fixed
for idx in range(fpf.getSize()):
parname = fpf[idx].GetName()
print "\n Method-2: redoing fit with fixed parameter ", parname
# the parameter that is fixed, needs to have the value of the default fit
w.loadSnapshot(snapshot)
par = w.var(parname)
# # before redoing the fit, set the values of parameters to initial snapshot, otherwise MIGRAD cannot find improvement
# w.loadSnapshot('snapshot_paramsVals_initial')
# par.setVal(parDefVal)
par.setConstant(True)
suffix = parname + "Fixed"
result_1parfixed = Util.FitPdf(w, fitRegionsFullName, lumiConst,
data_set, suffix)
expResultAfter_1parfixed = RooExpandedFitResult(
result_1parfixed, resultlistOrig)
nFittedInRegion_1parfixed = pdfInRegion.getVal()
pdfFittedErrInRegion_1parfixed = Util.GetPropagatedError(
pdfInRegion, expResultAfter_1parfixed) # result_1parfixed)
if pdfFittedErrInRegion_1parfixed > pdfFittedErrInRegion:
print "\n\n WARNING parameter ", parname, " gives a larger error when set constant. Do you expect this?"
print " WARNING pdfFittedErrInRegion = ", pdfFittedErrInRegion, " pdfFittedErrInRegion_1parfixed = ", pdfFittedErrInRegion_1parfixed
systError = TMath.Sqrt(
abs(pdfFittedErrInRegion * pdfFittedErrInRegion -
pdfFittedErrInRegion_1parfixed *
pdfFittedErrInRegion_1parfixed))
par.setConstant(False)
if result_1parfixed.status() == 0 and result_1parfixed.covQual(
) == 3: #and result_1parfixed.numStatusHistory()==2 and result_1parfixed.statusCodeHistory(0)==0 and result_1parfixed.statusCodeHistory(1) ==0:
systError = systError
else:
systError = 0.0
print " WARNING : for parameter ", parname, " fixed the fit does not converge, as status=", result_1parfixed.status(
), "(converged=0), and covariance matrix quality=", result_1parfixed.covQual(
), " (full accurate==3)"
print " WARNING: setting systError = 0 for parameter ", parname
#if namemap.has_key(parname):
# parname = namemap[parname]
regSys['syserr_' + parname] = systError
return regSys
def latexfitresults(filename,
region='3jL',
sample='',
resultName="RooExpandedFitResult_afterFit",
dataname='obsData'):
#namemap = {}
#namemap = getnamemap()
############################################
w = Util.GetWorkspaceFromFile(filename, 'w')
if w == None:
print "ERROR : Cannot open workspace : ", workspacename
sys.exit(1)
result = w.obj(resultName)
if result == None:
print "ERROR : Cannot open fit result ", resultName
sys.exit(1)
snapshot = 'snapshot_paramsVals_' + resultName
w.loadSnapshot(snapshot)
data_set = w.data(dataname)
if data_set == None:
print "ERROR : Cannot open dataset : ", "data_set"
sys.exit(1)
regionCat = w.obj("channelCat")
data_set.table(regionCat).Print("v")
regionFullName = Util.GetFullRegionName(regionCat, region)
chosenSample = False
if sample is not '':
chosenSample = True
#####################################################
regSys = {}
regionCatStr = 'channelCat==channelCat::' + regionFullName.Data()
dataRegion = data_set.reduce(regionCatStr)
nobsRegion = 0.
if dataRegion:
nobsRegion = dataRegion.sumEntries()
else:
print " ERROR : dataset-category dataRegion not found"
if chosenSample:
regSys['sqrtnobsa'] = 0.
else:
regSys['sqrtnobsa'] = TMath.Sqrt(nobsRegion)
####
if chosenSample:
pdfInRegion = Util.GetComponent(w, sample, region)
else:
rawPdfInRegion = Util.GetRegionPdf(w, region)
varInRegion = Util.GetRegionVar(w, region)
prodList = rawPdfInRegion.pdfList()
foundRRS = 0
for idx in range(prodList.getSize()):
if prodList[idx].InheritsFrom("RooRealSumPdf"):
rrspdfInt = prodList[idx].createIntegral(
RooArgSet(varInRegion))
pdfInRegion = rrspdfInt
foundRRS += 1
if foundRRS > 1 or foundRRS == 0:
print " \n\n WARNING: ", pdf.GetName(
), " has ", foundRRS, " instances of RooRealSumPdf"
print pdf.GetName(), " component list:", prodList.Print("v")
if not pdfInRegion:
if chosenSample:
print " \n Warning, could not find pdf in region = ", region, " for sample = ", sample
else:
print " \n Warning, could not find pdf in region = ", region
nFittedInRegion = pdfInRegion.getVal()
regSys['sqrtnfitted'] = TMath.Sqrt(nFittedInRegion)
pdfFittedErrInRegion = Util.GetPropagatedError(pdfInRegion, result)
regSys['totsyserr'] = pdfFittedErrInRegion
# calculate error per parameter on fitresult
fpf = result.floatParsFinal()
# set all floating parameters constant
for idx in range(fpf.getSize()):
parname = fpf[idx].GetName()
par = w.var(parname)
par.setConstant()
for idx in range(fpf.getSize()):
parname = fpf[idx].GetName()
par = w.var(parname)
par.setConstant(False)
sysError = Util.GetPropagatedError(pdfInRegion, result)
#if namemap.has_key(parname):
# parname = namemap[parname]
regSys['syserr_' + parname] = sysError
par.setConstant()
return regSys
def latexfitresults_method2(filename,
resultname='RooExpandedFitResult_afterFit',
region='3jL',
sample='',
fitregions='WR,TR,S3,S4,SR3jT,SR4jT',
dataname='obsData',
doAsym=False,
SRName=""):
"""
Method-2: set the parameter you're interested in constant,
redo the fit with all other parameters floating,
calculate the quadratic difference between default fit and your new model with parameter fixed
@param filename The filename containing afterFit workspace
@param resultname The name of fit result (typically='RooExpandedFitResult_afterFit' or 'RooExpandedFitResult_beforeFit'
@param region The region to be used for systematics breakdown calculation
@param sample The sample to be used insted of total pdf (default='' not defined, hence total pdf used)
@param fitregions Fit regions to perform the re-fit (default= 'WR,TR,S3,S4,SR3jT,SR4jT' but needs to be specified by user)
@param dataname The name of dataset (default='obsData')
@param doAsym Calculates asymmetric errors taken from MINOS (default=False)
"""
"""
pick up workspace from file
"""
w = Util.GetWorkspaceFromFile(filename, 'w')
if w == None:
print "ERROR : Cannot open workspace : "
sys.exit(1)
"""
pick up RooExpandedFitResult from workspace with name resultName (either before or after fit)
"""
result = w.obj(resultname)
if result == None:
print "ERROR : Cannot open fit result : ", resultname
sys.exit(1)
"""
save the original (after-fit result) fit parameters list
"""
resultlistOrig = result.floatParsFinal()
"""
load workspace snapshot related to resultName (=set all parameters to values after fit)
"""
snapshot = 'snapshot_paramsVals_' + resultname
w.loadSnapshot(snapshot)
"""
pick up dataset from workspace
"""
data_set = w.data(dataname)
if data_set == None:
print "ERROR : Cannot open dataset : ", "data_set"
sys.exit(1)
"""
pick up channel category (RooCategory) from workspace
"""
regionCat = w.obj("channelCat")
# data_set.table(regionCat).Print("v");
"""
find full (long) name list of region (i.e. short=SR3J, long=SR3J_meffInc30_JVF25pt50)
"""
regionFullName = Util.GetFullRegionName(regionCat, region)
"""
find and save the list of all regions used for the fit, as the fit will be redone
"""
fitRegionsList = fitregions.split(",")
fitRegionsFullName = ""
for reg in fitRegionsList:
regFullName = Util.GetFullRegionName(regionCat, reg)
if fitRegionsFullName == "":
fitRegionsFullName = regFullName.Data()
else:
fitRegionsFullName = fitRegionsFullName + "," + regFullName.Data()
"""
set a boolean whether we're looking at a sample or the full (multi-sample) pdf/model
"""
chosenSample = False
if sample is not '':
chosenSample = True
"""
define regSys set, for all names/numbers to be saved in
"""
regSys = {}
"""
define channelCat call for this region and reduce the dataset to this category/region
"""
regionCatStr = 'channelCat==channelCat::' + regionFullName.Data()
dataRegion = data_set.reduce(regionCatStr)
nobsRegion = 0.
if dataRegion:
nobsRegion = dataRegion.sumEntries()
else:
print " ERROR : dataset-category", regionCatStr, " not found"
"""
if looking at a sample, there is no equivalent N_obs (only for the full model)
"""
if chosenSample:
regSys['sqrtnobsa'] = 0.
else:
regSys['sqrtnobsa'] = TMath.Sqrt(nobsRegion)
"""
get the pdf for the total model or just for the sample in region
"""
if chosenSample:
pdfInRegion = Util.GetComponent(w, sample, region)
else:
rawPdfInRegion = Util.GetRegionPdf(w, region)
varInRegion = Util.GetRegionVar(w, region)
prodList = rawPdfInRegion.pdfList()
foundRRS = 0
for idx in range(prodList.getSize()):
if prodList[idx].InheritsFrom("RooRealSumPdf"):
rrspdfInt = prodList[idx].createIntegral(
RooArgSet(varInRegion))
pdfInRegion = rrspdfInt
foundRRS += 1
if foundRRS > 1 or foundRRS == 0:
print " \n\n WARNING: ", pdf.GetName(
), " has ", foundRRS, " instances of RooRealSumPdf"
print pdf.GetName(), " component list:", prodList.Print("v")
if not pdfInRegion:
if chosenSample:
print " \n Warning, could not find pdf in region = ", region, " for sample = ", sample
else:
print " \n Warning, could not find pdf in region = ", region
"""
calculate fitted pdf number of events and full error
"""
nFittedInRegion = pdfInRegion.getVal()
regSys['sqrtnfitted'] = TMath.Sqrt(nFittedInRegion)
regSys['nfitted'] = nFittedInRegion
pdfFittedErrInRegion = Util.GetPropagatedError(pdfInRegion, result, doAsym)
regSys['totsyserr'] = pdfFittedErrInRegion
"""
set lumi parameter constant for the refit -- FIXME
"""
lumiConst = True
fpf = result.floatParsFinal()
"""
redo the fit for every parameter being fixed
"""
for idx in range(fpf.getSize()):
parname = fpf[idx].GetName()
print "\n Method-2: redoing fit with fixed parameter ", parname
"""
the parameter that is fixed, needs to have the value of the default fit
"""
w.loadSnapshot(snapshot)
par = w.var(parname)
par.setConstant(True)
"""
perform the fit again with one parameter fixed
"""
suffix = parname + "Fixed"
result_1parfixed = Util.FitPdf(w, fitRegionsFullName, lumiConst,
data_set, suffix, doAsym, "all")
"""
create a new RooExpandedFitResult based on the new fit
and all parameters saved in the original fit result (as some parameters might only be floating in VRs)
"""
expResultAfter_1parfixed = RooExpandedFitResult(
result_1parfixed, resultlistOrig)
"""
calculate newly fitted number of events and full error
"""
nFittedInRegion_1parfixed = pdfInRegion.getVal()
pdfFittedErrInRegion_1parfixed = Util.GetPropagatedError(
pdfInRegion, expResultAfter_1parfixed,
doAsym) # result_1parfixed)
"""
check whether original total error is smaller then newly-fitted total error
if one does anew fit with less floating parameters (systematics), it can be expected to see smaller error
(this assumption does not take correlations into account)
"""
if pdfFittedErrInRegion_1parfixed > pdfFittedErrInRegion:
print "\n\n WARNING parameter ", parname, " gives a larger error when set constant. Do you expect this?"
print " WARNING pdfFittedErrInRegion = ", pdfFittedErrInRegion, " pdfFittedErrInRegion_1parfixed = ", pdfFittedErrInRegion_1parfixed
"""
calculate systematic error as the quadratic difference between original and re-fitted errors
"""
systError = TMath.Sqrt(
abs(pdfFittedErrInRegion * pdfFittedErrInRegion -
pdfFittedErrInRegion_1parfixed *
pdfFittedErrInRegion_1parfixed))
par.setConstant(False)
"""
print a warning if new fit with 1 par fixed did not converge - meaning that sys error cannot be trusted
"""
if result_1parfixed.status() == 0 and result_1parfixed.covQual(
) == 3: #and result_1parfixed.numStatusHistory()==2 and result_1parfixed.statusCodeHistory(0)==0 and result_1parfixed.statusCodeHistory(1) ==0:
systError = systError
else:
systError = 0.0
print " WARNING : for parameter ", parname, " fixed the fit does not converge, as status=", result_1parfixed.status(
), "(converged=0), and covariance matrix quality=", result_1parfixed.covQual(
), " (full accurate==3)"
print " WARNING: setting systError = 0 for parameter ", parname
regSys['syserr_' + parname] = systError
return regSys
def latexfitresults(filename,
regionList,
sampleList,
dataname='obsData',
showSum=False):
w = Util.GetWorkspaceFromFile(filename, 'w')
if w == None:
print "ERROR : Cannot open workspace : ", workspacename
sys.exit(1)
resultAfterFit = w.obj('RooExpandedFitResult_afterFit')
if resultAfterFit == None:
print "ERROR : Cannot open fit result after fit RooExpandedFitResult_afterFit"
sys.exit(1)
resultBeforeFit = w.obj('RooExpandedFitResult_beforeFit')
if resultBeforeFit == None:
print "ERROR : Cannot open fit result before fit RooExpandedFitResult_beforeFit"
sys.exit(1)
data_set = w.data(dataname)
if data_set == None:
print "ERROR : Cannot open dataset : ", "data_set" + suffix
sys.exit(1)
regionCat = w.obj("channelCat")
data_set.table(regionCat).Print("v")
regionFullNameList = [
Util.GetFullRegionName(regionCat, region) for region in regionList
]
print regionFullNameList
###
snapshot = 'snapshot_paramsVals_RooExpandedFitResult_afterFit'
w.loadSnapshot(snapshot)
if not w.loadSnapshot(snapshot):
print "ERROR : Cannot load snapshot : ", snapshot
sys.exit(1)
tablenumbers = {}
# SUM ALL REGIONS
sumName = ""
for index, reg in enumerate(regionList):
if index == 0:
sumName = reg
else:
sumName = sumName + " + " + reg
regionListWithSum = list(regionList)
if showSum:
regionListWithSum.append(sumName)
tablenumbers['names'] = regionListWithSum
regionCatList = [
'channelCat==channelCat::' + region.Data()
for region in regionFullNameList
]
regionDatasetList = [
data_set.reduce(regioncat) for regioncat in regionCatList
]
for index, data in enumerate(regionDatasetList):
data.SetName("data_" + regionList[index])
data.SetTitle("data_" + regionList[index])
nobs_regionList = [data.sumEntries() for data in regionDatasetList]
#SUM
sumNobs = 0.
for nobs in nobs_regionList:
sumNobs += nobs
print " \n XXX nobs = ", nobs, " sumNobs = ", sumNobs
if showSum:
nobs_regionList.append(sumNobs)
tablenumbers['nobs'] = nobs_regionList
######
######
###### FROM HERE ON OUT WE CALCULATE THE FITTED NUMBER OF EVENTS __AFTER__ THE FIT
######
######
# total pdf, not splitting in components
pdfinRegionList = [Util.GetRegionPdf(w, region) for region in regionList]
varinRegionList = [Util.GetRegionVar(w, region) for region in regionList]
rrspdfinRegionList = []
for index, pdf in enumerate(pdfinRegionList):
# pdf.Print("t")
prodList = pdf.pdfList()
foundRRS = 0
for idx in range(prodList.getSize()):
# if "BG" in prodList[idx].GetName():
# prodList[idx].Print("t")
if prodList[idx].InheritsFrom("RooRealSumPdf"):
rrspdfInt = prodList[idx].createIntegral(
RooArgSet(varinRegionList[index]))
rrspdfinRegionList.append(rrspdfInt)
foundRRS += 1
if foundRRS > 1 or foundRRS == 0:
print " \n\n WARNING: ", pdf.GetName(
), " has ", foundRRS, " instances of RooRealSumPdf"
print pdf.GetName(), " component list:", prodList.Print("v")
nFittedInRegionList = [
pdf.getVal() for index, pdf in enumerate(rrspdfinRegionList)
]
pdfFittedErrInRegionList = [
Util.GetPropagatedError(pdf, resultAfterFit)
for pdf in rrspdfinRegionList
]
if showSum:
pdfInAllRegions = RooArgSet()
for index, pdf in enumerate(rrspdfinRegionList):
pdfInAllRegions.add(pdf)
pdfSumInAllRegions = RooAddition("pdf_AllRegions_AFTER",
"pdf_AllRegions_AFTER",
pdfInAllRegions)
pdfSumInAllRegions.Print()
nPdfSumVal = pdfSumInAllRegions.getVal()
nPdfSumError = Util.GetPropagatedError(pdfSumInAllRegions,
resultAfterFit)
nFittedInRegionList.append(nPdfSumVal)
pdfFittedErrInRegionList.append(nPdfSumError)
tablenumbers['TOTAL_FITTED_bkg_events'] = nFittedInRegionList
tablenumbers['TOTAL_FITTED_bkg_events_err'] = pdfFittedErrInRegionList
# components
for isam, sample in enumerate(sampleList):
nSampleInRegionVal = []
nSampleInRegionError = []
sampleInAllRegions = RooArgSet()
for ireg, region in enumerate(regionList):
sampleInRegion = Util.GetComponent(w, sample, region)
sampleInRegionVal = 0.
sampleInRegionError = 0.
if not sampleInRegion == None:
sampleInRegion.Print()
sampleInRegionVal = sampleInRegion.getVal()
sampleInRegionError = Util.GetPropagatedError(
sampleInRegion, resultAfterFit)
sampleInAllRegions.add(sampleInRegion)
else:
print " \n YieldsTable.py: WARNING: sample =", sample, " non-existent (empty) in region =", region, "\n"
nSampleInRegionVal.append(sampleInRegionVal)
nSampleInRegionError.append(sampleInRegionError)
# print " \n\n XXX-AFTER sample = ", sample
if showSum:
sampleSumInAllRegions = RooAddition(
(sample + "_AllRegions_FITTED"),
(sample + "_AllRegions_FITTED"), sampleInAllRegions)
sampleSumInAllRegions.Print()
nSampleSumVal = sampleSumInAllRegions.getVal()
nSampleSumError = Util.GetPropagatedError(sampleSumInAllRegions,
resultAfterFit)
nSampleInRegionVal.append(nSampleSumVal)
nSampleInRegionError.append(nSampleSumError)
tablenumbers['Fitted_events_' + sample] = nSampleInRegionVal
tablenumbers['Fitted_err_' + sample] = nSampleInRegionError
######
######
###### FROM HERE ON OUT WE CALCULATE THE EXPECTED NUMBER OF EVENTS __BEFORE__ THE FIT
######
######
# FROM HERE ON OUT WE CALCULATE THE EXPECTED NUMBER OF EVENTS BEFORE THE FIT
w.loadSnapshot('snapshot_paramsVals_RooExpandedFitResult_beforeFit')
pdfinRegionList = [Util.GetRegionPdf(w, region) for region in regionList]
varinRegionList = [Util.GetRegionVar(w, region) for region in regionList]
rrspdfinRegionList = []
for index, pdf in enumerate(pdfinRegionList):
prodList = pdf.pdfList()
foundRRS = 0
for idx in range(prodList.getSize()):
if prodList[idx].InheritsFrom("RooRealSumPdf"):
# print " \n\n XXX-BEFORE prodList[idx] = ", prodList[idx].GetName()
prodList[idx].Print()
rrspdfInt = prodList[idx].createIntegral(
RooArgSet(varinRegionList[index]))
rrspdfinRegionList.append(rrspdfInt)
foundRRS += 1
if foundRRS > 1 or foundRRS == 0:
print " \n\n WARNING: ", pdf.GetName(
), " has ", foundRRS, " instances of RooRealSumPdf"
print pdf.GetName(), " component list:", prodList.Print("v")
nExpInRegionList = [
pdf.getVal() for index, pdf in enumerate(rrspdfinRegionList)
]
pdfExpErrInRegionList = [
Util.GetPropagatedError(pdf, resultBeforeFit)
for pdf in rrspdfinRegionList
]
if showSum:
pdfInAllRegions = RooArgSet()
for index, pdf in enumerate(rrspdfinRegionList):
pdfInAllRegions.add(pdf)
pdfSumInAllRegions = RooAddition("pdf_AllRegions_BEFORE",
"pdf_AllRegions_BEFORE",
pdfInAllRegions)
nPdfSumVal = pdfSumInAllRegions.getVal()
nPdfSumError = Util.GetPropagatedError(pdfSumInAllRegions,
resultAfterFit)
nExpInRegionList.append(nPdfSumVal)
pdfExpErrInRegionList.append(nPdfSumError)
tablenumbers['TOTAL_MC_EXP_BKG_events'] = nExpInRegionList
tablenumbers['TOTAL_MC_EXP_BKG_err'] = pdfExpErrInRegionList
for isam, sample in enumerate(sampleList):
nMCSampleInRegionVal = []
nMCSampleInRegionError = []
sampleInAllRegions = RooArgSet()
for ireg, region in enumerate(regionList):
MCSampleInRegion = Util.GetComponent(w, sample, region)
MCSampleInRegionVal = 0.
MCSampleInRegionError = 0.
if not MCSampleInRegion == None:
MCSampleInRegionVal = MCSampleInRegion.getVal()
MCSampleInRegionError = Util.GetPropagatedError(
MCSampleInRegion, resultBeforeFit)
sampleInAllRegions.add(sampleInRegion)
else:
print " \n WARNING: sample=", sample, " non-existent (empty) in region=", region
nMCSampleInRegionVal.append(MCSampleInRegionVal)
nMCSampleInRegionError.append(MCSampleInRegionError)
#print " \n\n XXX-BEFORE sample = ", sample
if showSum:
sampleSumInAllRegions = RooAddition((sample + "_AllRegions_MC"),
(sample + "_AllRegions_MC"),
sampleInAllRegions)
nSampleSumVal = sampleSumInAllRegions.getVal()
nSampleSumError = Util.GetPropagatedError(sampleSumInAllRegions,
resultBeforeFit)
nMCSampleInRegionVal.append(nSampleSumVal)
nMCSampleInRegionError.append(nSampleSumError)
tablenumbers['MC_exp_events_' + sample] = nMCSampleInRegionVal
tablenumbers['MC_exp_err_' + sample] = nMCSampleInRegionError
# sorted(tablenumbers, key=lambda sample: sample[1]) # sort by age
map_listofkeys = tablenumbers.keys()
map_listofkeys.sort()
for name in map_listofkeys:
if tablenumbers.has_key(name):
print name, ": ", tablenumbers[name]
###
return tablenumbers
def latexfitresults(filename, regionList, dataname='obsData'):
print "hallo"
####
w = Util.GetWorkspaceFromFile(filename, 'combined')
if w == None:
print "ERROR : Cannot open workspace : ", workspacename
sys.exit(1)
w.Print()
resultname = 'RooExpandedFitResult_afterFit'
result = w.obj(resultname)
if result == None:
print "ERROR : Cannot open fit result : ", resultname
sys.exit(1)
snapshot = 'snapshot_paramsVals_' + resultname
w.loadSnapshot(snapshot)
if not w.loadSnapshot(snapshot):
print "ERROR : Cannot load snapshot : ", snapshot
sys.exit(1)
data_set = w.data(dataname)
if data_set == None:
print "ERROR : Cannot open dataset : ", "data_set" + suffix
sys.exit(1)
regionCat = w.obj("channelCat")
data_set.table(regionCat).Print("v")
regionFullNameList = [
Util.GetFullRegionName(regionCat, region) for region in regionList
]
print " \n Requested regions = ", regionFullNameList, "\n\n"
###
tablenumbers = {}
tablenumbers['names'] = regionList
regionCatList = [
'channelCat==channelCat::' + region.Data()
for region in regionFullNameList
]
regionDatasetList = [
data_set.reduce(regioncat) for regioncat in regionCatList
]
for index, data in enumerate(regionDatasetList):
data.SetName("data_" + regionList[index])
data.SetTitle("data_" + regionList[index])
nobs_regionList = [data.sumEntries() for data in regionDatasetList]
tablenumbers['nobs'] = nobs_regionList
####
bkginRegionList = [
Util.GetComponent(w, "Top,WZ,QCD,BG", region) for region in regionList
]
nbkginRegionList = [
bkginRegion.getVal() for bkginRegion in bkginRegionList
]
[region.Print() for region in bkginRegionList]
print "\n N bkgs in regions = ", nbkginRegionList
nbkgerrinRegionList = [
Util.GetPropagatedError(bkginRegion, result)
for bkginRegion in bkginRegionList
]
print "\n error N bkgs in regions = ", nbkgerrinRegionList
WZinRegionList = [
Util.GetComponent(w, "WZ", region) for region in regionList
]
TopinRegionList = [
Util.GetComponent(w, "Top", region) for region in regionList
]
nWZinRegionList = [WZinRegion.getVal() for WZinRegion in WZinRegionList]
nTopinRegionList = [
TopinRegion.getVal() for TopinRegion in TopinRegionList
]
print "\n N WZ in regions = ", nWZinRegionList
print "\n N Top in regions = ", nTopinRegionList
nWZerrinRegionList = [
Util.GetPropagatedError(WZinRegion, result)
for WZinRegion in WZinRegionList
]
nToperrinRegionList = [
Util.GetPropagatedError(TopinRegion, result)
for TopinRegion in TopinRegionList
]
print "\n error N WZ in regions = ", nWZerrinRegionList
print "\n error N Top in regions = ", nToperrinRegionList
######
# Example how to add multiple backgrounds in multiple(!) regions
TopWZinRegionList = [
RooAddition(("TopWZin" + regionList[index]),
("TopWZin" + regionList[index]),
RooArgSet(TopinRegionList[index], WZinRegionList[index]))
for index, region in enumerate(regionList)
]
nTopWZinRegionList = [
TopWZinRegion.getVal() for TopWZinRegion in TopWZinRegionList
]
nTopWZerrinRegionList = [
Util.GetPropagatedError(TopWZinRegion, result)
for TopWZinRegion in TopWZinRegionList
]
######
######
###### FROM HERE ON OUT WE CALCULATE THE EXPECTED NUMBER OF EVENTS __BEFORE__ THE FIT
######
######
# FROM HERE ON OUT WE CALCULATE THE EXPECTED NUMBER OF EVENTS BEFORE THE FIT
w.loadSnapshot('snapshot_paramsVals_RooExpandedFitResult_beforeFit')
pdfinRegionList = [Util.GetRegionPdf(w, region) for region in regionList]
varinRegionList = [Util.GetRegionVar(w, region) for region in regionList]
nexpinRegionList = [
pdf.expectedEvents(RooArgSet(varinRegionList[index]))
for index, pdf in enumerate(pdfinRegionList)
]
print "\n N expected in regions = ", nexpinRegionList
fracWZinRegionList = [
Util.GetComponentFracInRegion(w, "WZ", region) for region in regionList
]
fracTopinRegionList = [
Util.GetComponentFracInRegion(w, "Top", region)
for region in regionList
]
mcWZinRegionList = [
fracWZinRegionList[index] * nexpinRegionList[index]
for index, region in enumerate(regionList)
]
mcTopinRegionList = [
fracTopinRegionList[index] * nexpinRegionList[index]
for index, region in enumerate(regionList)
]
# mcSMinRegionList = [ mcWZinRegionList[index] + mcTopinRegionList[index] + mcQCDinRegionList[index] + mcBGinRegionList[index] for index, region in enumerate(regionList)]
mcSMinRegionList = [
mcWZinRegionList[index] + mcTopinRegionList[index]
for index, region in enumerate(regionList)
]
print "\n N expected WZ in regions = ", mcWZinRegionList
print "\n N expected Top in regions = ", mcTopinRegionList
tablenumbers['MC_exp_top_WZ_events'] = [
mcWZinRegionList[index] + mcTopinRegionList[index]
for index, region in enumerate(regionList)
]
tablenumbers['MC_exp_top_events'] = [
mcTopinRegion for mcTopinRegion in mcTopinRegionList
]
tablenumbers['MC_exp_WZ_events'] = [
mcWZinRegion for mcWZinRegion in mcWZinRegionList
]
tablenumbers['MC_exp_SM_events'] = [
mcSMinRegion for mcSMinRegion in mcSMinRegionList
]
tablenumbers['Fitted_bkg_events'] = nbkginRegionList
tablenumbers['Fitted_bkg_events_err'] = nbkgerrinRegionList
tablenumbers['Fitted_top_events'] = nTopinRegionList
tablenumbers['Fitted_top_events_err'] = nToperrinRegionList
tablenumbers['Fitted_WZ_events'] = nWZinRegionList
tablenumbers['Fitted_WZ_events_err'] = nWZerrinRegionList
tablenumbers['Fitted_top_WZ_events'] = nTopWZinRegionList
tablenumbers['Fitted_top_WZ_events_err'] = nTopWZerrinRegionList
###
return tablenumbers
