def __init__(self, dirs, counters, normalizeMCByLuminosity=False):
self.datasetManagers = []
for d in dirs:
datasets = dataset.getDatasetsFromMulticrabCfg(cfgfile=d+"/multicrab.cfg", counters=counters)
datasets.loadLuminosities()
tauEmbedding.updateAllEventsToWeighted(datasets)
self.datasetManagers.append(datasets)
self.normalizeMCByLuminosity=normalizeMCByLuminosity
def main():
dirEmbs = result.dirEmbs[:]
if onlyWjets:
dirEmbs.extend(dirEmbsWjets)
dirEmbs = ["."] + [os.path.join("..", d) for d in dirEmbs[1:]]
# dirEmbs = dirEmbs[0:2]
style = tdrstyle.TDRStyle()
tauEmbedding.normalize=normalize
tauEmbedding.era = "Run2011A"
ts = dataset.TreeScan(analysisEmb+"/tree", function=None, selection=And(metCut, bTaggingCut, deltaPhi160Cut))
def printPickEvent(f, tree):
f.write("%d:%d:%d\n" % (tree.run, tree.lumi, tree.event))
table = counter.CounterTable()
for i, d in enumerate(dirEmbs):
datasets = dataset.getDatasetsFromMulticrabCfg(cfgfile=d+"/multicrab.cfg", counters=analysisEmb+"Counters")
if onlyWjets:
datasets.remove(filter(lambda n: n != "WJets_TuneZ2_Summer11", datasets.getAllDatasetNames()))
else:
if mcEvents:
datasets.remove(filter(lambda n: n != "WJets_TuneZ2_Summer11" and n != "TTJets_TuneZ2_Summer11" and not "SingleMu" in n, datasets.getAllDatasetNames()))
datasets.loadLuminosities()
datasets.remove(filter(lambda name: "HplusTB" in name, datasets.getAllDatasetNames()))
datasets.remove(filter(lambda name: "TTToHplus" in name, datasets.getAllDatasetNames()))
tauEmbedding.updateAllEventsToWeighted(datasets)
plots.mergeRenameReorderForDataMC(datasets)
# for ds in datasets.getAllDatasets():
# f = open("pickEvents_%s_%d.txt" % (ds.getName(), i), "w")
# ds.getDatasetRootHisto(ts.clone(function=lambda tree: printPickEvent(f, tree)))
# f.close()
row = doCounters(datasets)
row.setName("Embedding %d" % i)
table.appendRow(row)
doPlots(table)
arows = []
arows.append(counter.meanRow(table))
arows.extend(counter.meanRowFit(table))
arows.append(counter.maxRow(table))
arows.append(counter.minRow(table))
for r in arows:
table.appendRow(r)
# csvSplitter = counter.TableSplitter([" \pm "])
# cellFormat = counter.TableFormatText(counter.CellFormatTeX(valueFormat='%.3f'), columnSeparator=",")
cellFormat = counter.TableFormatText(counter.CellFormatTeX(valueFormat='%.3f'))
print "DeltaPhi < 160"
print
print table.format(cellFormat)
def __init__(self, dirs, counters, normalizeMCByLuminosity=False):
self.datasetManagers = []
for d in dirs:
datasets = dataset.getDatasetsFromMulticrabCfg(cfgfile=d +
"/multicrab.cfg",
counters=counters)
datasets.loadLuminosities()
tauEmbedding.updateAllEventsToWeighted(datasets)
self.datasetManagers.append(datasets)
self.normalizeMCByLuminosity = normalizeMCByLuminosity
def main():
counters = analysis+"Counters"
datasets = dataset.getDatasetsFromMulticrabCfg(counters=counters)
tauEmbedding.updateAllEventsToWeighted(datasets)
#datasets.remove(filter(lambda name: name != "SingleMu_Mu_166374-167043_Prompt" and name != "TTJets_TuneZ2_Summer11", datasets.getAllDatasetNames()))
if era == "EPS":
datasets.remove([
"SingleMu_Mu_170722-172619_Aug05",
"SingleMu_Mu_172620-173198_Prompt",
"SingleMu_Mu_173236-173692_Prompt",
])
elif era == "Run2011A-EPS":
datasets.remove([
"SingleMu_Mu_160431-163261_May10",
"SingleMu_Mu_163270-163869_May10",
"SingleMu_Mu_165088-166150_Prompt",
"SingleMu_Mu_166161-166164_Prompt",
"SingleMu_Mu_166346-166346_Prompt",
"SingleMu_Mu_166374-167043_Prompt",
"SingleMu_Mu_167078-167913_Prompt",
# "SingleMu_Mu_170722-172619_Aug05",
# "SingleMu_Mu_172620-173198_Prompt",
# "SingleMu_Mu_173236-173692_Prompt",
])
elif era == "Run2011A":
pass
#datasets.remove(datasets.getMCDatasetNames())
datasets.loadLuminosities()
#datasetsMC = datasets.deepCopy()
#datasetsMC.remove(datasets.getDataDatasetNames())
plots.mergeRenameReorderForDataMC(datasets)
styleGenerator = styles.generator(fill=True)
style = tdrstyle.TDRStyle()
#histograms.createLegend.moveDefaults(dx=-0.15)
plots._legendLabels["QCD_Pt20_MuEnriched"] = "QCD"
histograms.createLegend.moveDefaults(dx=-0.02)
doPlots(datasets)
printCounters(datasets)
def do(onlyWjets, mcEvents, normalize, formatCounters, formatPlots):
dirEmbs = tauEmbedding.dirEmbs[:]
if onlyWjets:
dirEmbs.extend(dirEmbsWjets)
dirEmbs = ["."] + [os.path.join("..", d) for d in dirEmbs[1:]]
# dirEmbs = dirEmbs[0:2]
# Read luminosity
datasets = dataset.getDatasetsFromMulticrabCfg(cfgfile=dirEmbs[0]+"/multicrab.cfg", counters=analysisEmb+"Counters", weightedCounters=False)
datasets.loadLuminosities()
plots.mergeRenameReorderForDataMC(datasets)
lumi = datasets.getDataset("Data").getLuminosity()
style = tdrstyle.TDRStyle()
histograms.cmsTextMode = histograms.CMSMode.SIMULATION
histograms.cmsText[histograms.cmsTextMode] = "Simulation"
tauEmbedding.normalize=normalize
tauEmbedding.era = "Run2011A"
table = counter.CounterTable()
for i, d in enumerate(dirEmbs):
datasets = dataset.getDatasetsFromMulticrabCfg(cfgfile=d+"/multicrab.cfg", counters=analysisEmb+"Counters", weightedCounters=False)
if onlyWjets:
datasets.remove(filter(lambda n: n != "WJets_TuneZ2_Summer11", datasets.getAllDatasetNames()))
else:
if mcEvents:
datasets.remove(filter(lambda n: n != "WJets_TuneZ2_Summer11" and n != "TTJets_TuneZ2_Summer11" and not "SingleMu" in n, datasets.getAllDatasetNames()))
datasets.loadLuminosities()
datasets.remove(filter(lambda name: "HplusTB" in name, datasets.getAllDatasetNames()))
datasets.remove(filter(lambda name: "TTToHplus" in name, datasets.getAllDatasetNames()))
tauEmbedding.updateAllEventsToWeighted(datasets)
plots.mergeRenameReorderForDataMC(datasets)
row = doCounters(datasets, onlyWjets, mcEvents, normalize, lumi)
row.setName("Embedding %d" % i)
table.appendRow(row)
if formatPlots:
doPlots(table, onlyWjets, mcEvents, normalize, lumi)
if not formatCounters:
return
arows = []
arows.append(counter.meanRow(table))
arows.extend(counter.meanRowFit(table))
arows.append(counter.maxRow(table))
arows.append(counter.minRow(table))
for r in arows:
table.appendRow(r)
print table.format()
ftable = counter.CounterTable()
def addRow(name):
col = table.getColumn(name=name)
minimum = col.getCount(name="Min")
maximum = col.getCount(name="Max")
mean = col.getCount(name="Mean")
ftable.appendRow(counter.CounterRow(name,
["Mean", "Minimum", "Maximum"],
[mean, minimum, maximum]))
addRow("Data")
addRow("EWKMCsum")
addRow("TTJets")
addRow("WJets")
addRow("DYJetsToLL")
addRow("SingleTop")
addRow("Diboson")
cellFormat2 = counter.TableFormatLaTeX(counter.CellFormatTeX(valueFormat="%.4f", withPrecision=2))
print ftable.format(cellFormat2)
def main():
dirEmbs = result.dirEmbs[:]
if onlyWjets:
dirEmbs.extend(dirEmbsWjets)
dirEmbs = ["."] + [os.path.join("..", d) for d in dirEmbs[1:]]
# dirEmbs = dirEmbs[0:2]
style = tdrstyle.TDRStyle()
tauEmbedding.normalize = normalize
tauEmbedding.era = "Run2011A"
ts = dataset.TreeScan(analysisEmb + "/tree",
function=None,
selection=And(metCut, bTaggingCut, deltaPhi160Cut))
def printPickEvent(f, tree):
f.write("%d:%d:%d\n" % (tree.run, tree.lumi, tree.event))
table = counter.CounterTable()
for i, d in enumerate(dirEmbs):
datasets = dataset.getDatasetsFromMulticrabCfg(
cfgfile=d + "/multicrab.cfg", counters=analysisEmb + "Counters")
if onlyWjets:
datasets.remove(
filter(lambda n: n != "WJets_TuneZ2_Summer11",
datasets.getAllDatasetNames()))
else:
if mcEvents:
datasets.remove(
filter(
lambda n: n != "WJets_TuneZ2_Summer11" and n !=
"TTJets_TuneZ2_Summer11" and not "SingleMu" in n,
datasets.getAllDatasetNames()))
datasets.loadLuminosities()
datasets.remove(
filter(lambda name: "HplusTB" in name,
datasets.getAllDatasetNames()))
datasets.remove(
filter(lambda name: "TTToHplus" in name,
datasets.getAllDatasetNames()))
tauEmbedding.updateAllEventsToWeighted(datasets)
plots.mergeRenameReorderForDataMC(datasets)
# for ds in datasets.getAllDatasets():
# f = open("pickEvents_%s_%d.txt" % (ds.getName(), i), "w")
# ds.getDatasetRootHisto(ts.clone(function=lambda tree: printPickEvent(f, tree)))
# f.close()
row = doCounters(datasets)
row.setName("Embedding %d" % i)
table.appendRow(row)
doPlots(table)
arows = []
arows.append(counter.meanRow(table))
arows.extend(counter.meanRowFit(table))
arows.append(counter.maxRow(table))
arows.append(counter.minRow(table))
for r in arows:
table.appendRow(r)
# csvSplitter = counter.TableSplitter([" \pm "])
# cellFormat = counter.TableFormatText(counter.CellFormatTeX(valueFormat='%.3f'), columnSeparator=",")
cellFormat = counter.TableFormatText(
counter.CellFormatTeX(valueFormat='%.3f'))
print "DeltaPhi < 160"
print
print table.format(cellFormat)
def main():
# Read the datasets
datasets = dataset.getDatasetsFromMulticrabCfg(counters=counters,
# weightedCounters=countersWeighted, firstWeightedCount="All events"
)
if era == "EPS":
datasets.remove([
"SingleMu_Mu_170722-172619_Aug05",
"SingleMu_Mu_172620-173198_Prompt",
"SingleMu_Mu_173236-173692_Prompt",
])
elif era == "Run2011A-EPS":
datasets.remove([
"SingleMu_Mu_160431-163261_May10",
"SingleMu_Mu_163270-163869_May10",
"SingleMu_Mu_165088-166150_Prompt",
"SingleMu_Mu_166161-166164_Prompt",
"SingleMu_Mu_166346-166346_Prompt",
"SingleMu_Mu_166374-167043_Prompt",
"SingleMu_Mu_167078-167913_Prompt",
# "SingleMu_Mu_170722-172619_Aug05",
# "SingleMu_Mu_172620-173198_Prompt",
# "SingleMu_Mu_173236-173692_Prompt",
])
elif era == "Run2011A":
pass
else:
raise Exception("Unsupported era "+era)
datasets.loadLuminosities()
#print datasets.getAllDatasetNames()
#return
# apply_v13_1_bugfix(datasets)
tauEmbedding.updateAllEventsToWeighted(datasets)
plots.mergeRenameReorderForDataMC(datasets)
datasets.remove(["W3Jets"])
# datasets.remove(["DYJetsToLL", "SingleTop", "Diboson", "QCD_Pt20_MuEnriched"])
# Signal
#keepSignal = "M80"
#keepSignal = "M90"
#keepSignal = "M100"
#keepSignal = "M120"
#keepSignal = "M140"
#keepSignal = "M150"
keepSignal = "M155"
#keepSignal = "M160"
datasets.remove(filter(lambda name: "HplusTB" in name, datasets.getAllDatasetNames()))
# Replace signal dataset with EWK+signal
if False:
datasets.remove(filter(lambda name: "TTToHplus" in name and not keepSignal in name, datasets.getAllDatasetNames()))
xsect.setHplusCrossSectionsToBR(datasets, br_tH=0.05, br_Htaunu=1)
#xsect.setHplusCrossSectionsToBR(datasets, br_tH=0.1, br_Htaunu=1)
plots.mergeWHandHH(datasets) # merging of WH and HH signals must be done after setting the cross section
ttjets2 = datasets.getDataset("TTJets").deepCopy()
ttjets2.setName("TTJets2")
ttjets2.setCrossSection(ttjets2.getCrossSection() - datasets.getDataset("TTToHplus_"+keepSignal).getCrossSection())
datasets.append(ttjets2)
datasets.merge("EWKnoTT", ["WJets", "DYJetsToLL", "SingleTop", "Diboson"], keepSources=True)
#datasets.merge("TTToHplus_"+keepSignal, ["TTToHplus_"+keepSignal, "EWKnoTT", "TTJets2"])
datasets.merge("EWKScaled", ["EWKnoTT", "TTJets2"])
datasets.merge("EWKSignal", ["TTToHplus_"+keepSignal, "EWKScaled"], keepSources=True)
plots._legendLabels["TTToHplus_"+keepSignal] = "with H^{#pm}#rightarrow#tau^{#pm}#nu"
else:
datasets.remove(filter(lambda name: "TTToHplus" in name, datasets.getAllDatasetNames()))
#datasets.remove(filter(lambda name: "TTJets" not in name, datasets.getAllDatasetNames()))
mcLumi = None
if not datasets.hasDataset("Data"):
mcLumi = 2173
# scaleLumi.signalLumi = 43.4024599650000037
# scaleLumi.ewkLumi = datasets.getDataset("Data").getLuminosity()
# Apply TDR style
style = tdrstyle.TDRStyle()
histograms.createLegend.moveDefaults(dx=-0.04)
#datasets.remove(["QCD_Pt20_MuEnriched"])
plots._legendLabels["QCD_Pt20_MuEnriched"] = "QCD"
histograms.createLegend.moveDefaults(dh=-0.05)
#histograms.createLegend.moveDefaults(dx=-0.18, dy=0.05, dh=-0.05)
# doPlots(datasets, mcLumi)
doCounters(datasets, mcLumi)
def main():
# Read the datasets
datasets = dataset.getDatasetsFromMulticrabCfg(
counters=counters,
# weightedCounters=countersWeighted, firstWeightedCount="All events"
)
if era == "EPS":
datasets.remove([
"SingleMu_Mu_170722-172619_Aug05",
"SingleMu_Mu_172620-173198_Prompt",
"SingleMu_Mu_173236-173692_Prompt",
])
elif era == "Run2011A-EPS":
datasets.remove([
"SingleMu_Mu_160431-163261_May10",
"SingleMu_Mu_163270-163869_May10",
"SingleMu_Mu_165088-166150_Prompt",
"SingleMu_Mu_166161-166164_Prompt",
"SingleMu_Mu_166346-166346_Prompt",
"SingleMu_Mu_166374-167043_Prompt",
"SingleMu_Mu_167078-167913_Prompt",
# "SingleMu_Mu_170722-172619_Aug05",
# "SingleMu_Mu_172620-173198_Prompt",
# "SingleMu_Mu_173236-173692_Prompt",
])
elif era == "Run2011A":
pass
else:
raise Exception("Unsupported era " + era)
datasets.loadLuminosities()
#print datasets.getAllDatasetNames()
#return
# apply_v13_1_bugfix(datasets)
tauEmbedding.updateAllEventsToWeighted(datasets)
plots.mergeRenameReorderForDataMC(datasets)
datasets.remove(["W3Jets"])
# datasets.remove(["DYJetsToLL", "SingleTop", "Diboson", "QCD_Pt20_MuEnriched"])
# Signal
#keepSignal = "M80"
#keepSignal = "M90"
#keepSignal = "M100"
#keepSignal = "M120"
#keepSignal = "M140"
#keepSignal = "M150"
keepSignal = "M155"
#keepSignal = "M160"
datasets.remove(
filter(lambda name: "HplusTB" in name, datasets.getAllDatasetNames()))
# Replace signal dataset with EWK+signal
if False:
datasets.remove(
filter(lambda name: "TTToHplus" in name and not keepSignal in name,
datasets.getAllDatasetNames()))
xsect.setHplusCrossSectionsToBR(datasets, br_tH=0.05, br_Htaunu=1)
#xsect.setHplusCrossSectionsToBR(datasets, br_tH=0.1, br_Htaunu=1)
plots.mergeWHandHH(
datasets
) # merging of WH and HH signals must be done after setting the cross section
ttjets2 = datasets.getDataset("TTJets").deepCopy()
ttjets2.setName("TTJets2")
ttjets2.setCrossSection(
ttjets2.getCrossSection() -
datasets.getDataset("TTToHplus_" + keepSignal).getCrossSection())
datasets.append(ttjets2)
datasets.merge("EWKnoTT",
["WJets", "DYJetsToLL", "SingleTop", "Diboson"],
keepSources=True)
#datasets.merge("TTToHplus_"+keepSignal, ["TTToHplus_"+keepSignal, "EWKnoTT", "TTJets2"])
datasets.merge("EWKScaled", ["EWKnoTT", "TTJets2"])
datasets.merge("EWKSignal", ["TTToHplus_" + keepSignal, "EWKScaled"],
keepSources=True)
plots._legendLabels[
"TTToHplus_" + keepSignal] = "with H^{#pm}#rightarrow#tau^{#pm}#nu"
else:
datasets.remove(
filter(lambda name: "TTToHplus" in name,
datasets.getAllDatasetNames()))
#datasets.remove(filter(lambda name: "TTJets" not in name, datasets.getAllDatasetNames()))
mcLumi = None
if not datasets.hasDataset("Data"):
mcLumi = 2173
# scaleLumi.signalLumi = 43.4024599650000037
# scaleLumi.ewkLumi = datasets.getDataset("Data").getLuminosity()
# Apply TDR style
style = tdrstyle.TDRStyle()
histograms.createLegend.moveDefaults(dx=-0.04)
#datasets.remove(["QCD_Pt20_MuEnriched"])
plots._legendLabels["QCD_Pt20_MuEnriched"] = "QCD"
histograms.createLegend.moveDefaults(dh=-0.05)
#histograms.createLegend.moveDefaults(dx=-0.18, dy=0.05, dh=-0.05)
# doPlots(datasets, mcLumi)
doCounters(datasets, mcLumi)
