def beginLoop(self, setup):
print self, self.__class__
super(JetWeighter, self).beginLoop(setup)
self.averages.add('weight', Average('weight'))
self.averages.add('triggerWeight', Average('triggerWeight'))
self.averages.add('eff_data', Average('eff_data'))
self.averages.add('eff_MC', Average('eff_MC'))
self.averages.add('recEffWeight', Average('recEffWeight'))
def beginLoop(self, setup):
super(H2TauTauEventSorter, self).beginLoop(setup)
self.counters.addCounter('Sorter')
self.counters.counter('Sorter').register('All events')
self.counters.counter('Sorter').register('tau iso')
self.counters.counter('Sorter').register('Matched = None or True')
self.averages.add('generatorWeight', Average('generatorWeight'))
self.averages.add('eventWeight', Average('eventWeight'))
def beginLoop(self, setup):
super(WNJetsAnalyzer, self).beginLoop(setup)
self.averages.add('NUP', Average('NUP'))
self.averages.add('NJets', Average('NJets'))
self.averages.add('WJetWeight', Average('WJetWeight'))
if self.cfg_comp.isMC:
self.rootfile = TFile('/'.join([self.dirName, 'NUP.root']),
'recreate')
self.nup = TH1F('nup', 'nup', 20, 0, 20)
self.njets = TH1F('njets', 'njets', 10, 0, 10)
def beginLoop(self, setup):
print self, self.__class__
super(LeptonWeighter, self).beginLoop(setup)
self.averages.add('weight', Average('weight'))
for sf_name in self.scaleFactors:
self.averages.add('weight_' + sf_name,
Average('weight_' + sf_name))
self.averages.add('eff_data_' + sf_name,
Average('eff_data_' + sf_name))
self.averages.add('eff_MC_' + sf_name,
Average('eff_MC_' + sf_name))
def test_ave_add(self):
c1 = Average('c1')
c1.add(0, 1)
c2 = Average('c2')
c2.add(1, 3)
c3 = c1 + c2
ave, unc = c3.average()
self.assertEqual(ave, 0.75)
def beginLoop(self, setup):
super(NJetsAnalyzer, self).beginLoop(setup)
self.averages.add('NUP', Average('NUP'))
self.averages.add('NJets', Average('NJets'))
self.averages.add('NJetWeight', Average('NJetWeight'))
if self.cfg_comp.isMC:
self.rootfile = TFile('/'.join([self.dirName, 'NUP.root']),
'recreate')
self.nup = TH1F('nup', 'nup', 20, 0, 20)
self.njets = TH1F('njets', 'njets', 10, 0, 10)
self.tree = TreeNumpy('tree', 'test tree for NJetsAnalyzer')
if self.cfg_ana.fillTree:
self.tree.var('njets', int)
self.tree.var('nup', int)
self.tree.var('weight')
def beginLoop(self, setup):
super(EmbedWeighter, self).beginLoop(setup)
self.averages.add('weight', Average('weight'))
self.counters.addCounter('EmbedWeighter')
count = self.counters.counter('EmbedWeighter')
count.register('all events')
count.register('gen Z mass > 50')
def beginLoop(self, setup):
super(VertexAnalyzer,self).beginLoop(setup)
self.averages.add('vertexWeight', Average('vertexWeight') )
self.counters.addCounter('GoodVertex')
self.count = self.counters.counter('GoodVertex')
self.count.register('All Events')
self.count.register('Events With Good Vertex')
def beginLoop(self, setup):
print self, self.__class__
super(TauDecayModeWeighter, self).beginLoop(setup)
self.averages.add('weight', Average('weight'))
# For 1 prong no pi-zero. Can be extended to more weights
# if necessary
# JAN: set to 1. until remeasured with 2015 data
self.oneProngNoPiZeroWeight = 1.
def beginLoop(self, setup):
print self, self.__class__
super(MultiLeptonWeighter, self).beginLoop(setup)
# total per-event average weight
self.averages.add('weight_%s' % self.finalState,
Average('weight_%s' % self.finalState))
# per-lepton and per-component weight
for ii in xrange(3):
self.averages.add('weight_%s_l%d' % (self.finalState, ii),
Average('weight_%s_l%d' % (self.finalState, ii)))
for sf_name in self.scaleFactors[ii].keys():
self.averages.add(
'weight_%s_l%d_%s' % (self.finalState, ii, sf_name),
Average('weight_%s_l%d_%s' %
(self.finalState, ii, sf_name)))
def beginLoop(self, setup):
print self, self.__class__
super(TauFakeRateWeighter,self).beginLoop(setup)
self.averages.add('weight', Average('weight') )
def beginLoop(self, setup):
super(PileUpAnalyzer, self).beginLoop(setup)
self.averages.add('puWeight', Average('puWeight'))
def test_ave_wei(self):
c = Average('TestAve')
c.add(0, 1)
c.add(1, 3)
ave, unc = c.average()
self.assertEqual(ave, 0.75)
def beginLoop(self):
super(PileUpAnalyzer,self).beginLoop()
self.averages.add('vertexWeight', Average('vertexWeight') )
def test_ave_unw(self):
c = Average('TestAve')
c.add(1, 1)
c.add(2, 1)
ave, unc = c.average()
self.assertEqual(ave, 1.5)
def beginLoop(self, setup):
print self, self.__class__
super(BTagEffWeighter,self).beginLoop(setup)
self.averages.add('btagEffWeight', Average('btagEffWeight') )
def beginLoop(self, setup):
print self, self.__class__
super(HiggsPtWeighter,self).beginLoop(setup)
self.averages.add('weight', Average('weight') )