def __init__(self, all, passed, dataset):
self.all = all
self.passed = passed
if all == 0:
self.eff = 0
else:
self.eff = passed/all
self.eff_up = ROOT.TEfficiency.ClopperPearson(int(all), int(passed), 0.95, True)
self.eff_down = ROOT.TEfficiency.ClopperPearson(int(all), int(passed), 0.95, False)
self.eff_up = self.eff_up - self.eff
self.eff_down = self.eff - self.eff_down
a = ROOT.TH1F("hall_"+dataset.getName(), "all", 1, 0, 1)
a.SetBinContent(1, all)
p = ROOT.TH1F("hpassed_"+dataset.getName(), "passed", 1, 0, 1)
p.SetBinContent(1, passed)
self.effobj = ROOT.TEfficiency(p, a)
self.effobj.SetStatisticOption(ROOT.TEfficiency.kFCP)
if dataset.isMC():
self.effobj.SetWeight(dataset.getCrossSection())
def addConfigInfo(of, dataset):
d = of.mkdir("configInfo")
d.cd()
# configinfo histogram
configinfo = ROOT.TH1F("configinfo", "configinfo", 3, 0, 3)
axis = configinfo.GetXaxis()
def setValue(bin, name, value):
axis.SetBinLabel(bin, name)
configinfo.SetBinContent(bin, value)
setValue(1, "control", 1)
if dataset.isData():
setValue(2, "luminosity", dataset.getLuminosity())
setValue(3, "isData", 1)
elif dataset.isMC():
setValue(2, "crossSection", dataset.getCrossSection())
setValue(3, "isData", 0)
configinfo.Write()
configinfo.Delete()
# dataVersion
ds = dataset
if dataset.isData():
ds = dataset.datasets[0]
dataVersion = ROOT.TNamed("dataVersion", ds.dataVersion)
dataVersion.Write()
dataVersion.Delete()
# codeVersion
codeVersion = ROOT.TNamed("codeVersion", git.getCommitId())
codeVersion.Write()
codeVersion.Delete()
of.cd()
def addConfigInfo(of, dataset):
d = of.mkdir("configInfo")
d.cd()
# configinfo histogram
configinfo = ROOT.TH1F("configinfo", "configinfo", 3, 0, 3)
axis = configinfo.GetXaxis()
def setValue(bin, name, value):
axis.SetBinLabel(bin, name)
configinfo.SetBinContent(bin, value)
setValue(1, "control", 1)
if dataset.isData():
setValue(2, "luminosity", dataset.getLuminosity())
setValue(3, "isData", 1)
elif dataset.isMC():
setValue(2, "crossSection", dataset.getCrossSection())
setValue(3, "isData", 0)
configinfo.Write()
configinfo.Delete()
# dataVersion
ds = dataset
if dataset.isData():
ds = dataset.datasets[0]
dataVersion = ROOT.TNamed("dataVersion", ds.dataVersion)
dataVersion.Write()
dataVersion.Delete()
# codeVersion
codeVersion = ROOT.TNamed("codeVersion", git.getCommitId())
codeVersion.Write()
codeVersion.Delete()
of.cd()
def __init__(self, all, passed, dataset):
self.all = all
self.passed = passed
if all == 0:
self.eff = 0
else:
self.eff = passed / all
self.eff_up = ROOT.TEfficiency.ClopperPearson(int(all), int(passed),
0.95, True)
self.eff_down = ROOT.TEfficiency.ClopperPearson(
int(all), int(passed), 0.95, False)
self.eff_up = self.eff_up - self.eff
self.eff_down = self.eff - self.eff_down
a = ROOT.TH1F("hall_" + dataset.getName(), "all", 1, 0, 1)
a.SetBinContent(1, all)
p = ROOT.TH1F("hpassed_" + dataset.getName(), "passed", 1, 0, 1)
p.SetBinContent(1, passed)
self.effobj = ROOT.TEfficiency(p, a)
self.effobj.SetStatisticOption(ROOT.TEfficiency.kFCP)
if dataset.isMC():
self.effobj.SetWeight(dataset.getCrossSection())
def __init__(self, all, passed, dataset):
self.effobj = ROOT.TEfficiency(passed, all)
self.effobj.SetStatisticOption(ROOT.TEfficiency.kFCP)
if dataset.isMC():
self.effobj.SetWeight(dataset.getCrossSection())
def __init__(self, all, passed, dataset):
self.effobj = ROOT.TEfficiency(passed, all)
self.effobj.SetStatisticOption(ROOT.TEfficiency.kFCP)
if dataset.isMC():
self.effobj.SetWeight(dataset.getCrossSection())
