def getLorentzVector(self, mom):
p = TLorentzVector(0, 0, 0, me)
p.SetPx(float(mom[0]))
p.SetPy(float(mom[1]))
p.SetPz(float(mom[2]))
p.SetE(float(self.pMag(mom)))
# p.Print()
return p
def getFourMomentum(mcParticle):
p = TLorentzVector(0, 0, 0, me)
p.SetPx(float(mcParticle[6]))
p.SetPy(float(mcParticle[7]))
p.SetPz(float(mcParticle[8]))
p.SetE(float(mcParticle[9]))
# p.Print()
return p
def rotateFourMomentum(self, pFour, rotMatrix):
pArray = [pFour.X(), pFour.Y(), pFour.Z()]
pRot = np.dot(rotMatrix, np.asarray(pArray))
p = TLorentzVector(0, 0, 0, me)
p.SetPx(float(pRot[0]))
p.SetPy(float(pRot[1]))
p.SetPz(float(pRot[2]))
p.SetE(float(pFour.E()))
return p
def Transform(Px, Py, Pz, E):
N = Px.shape[0]
Pt = np.zeros(N)
Eta = np.zeros(N)
Phi = np.zeros(N)
M = np.zeros(N)
LV = TLorentzVector()
print('\tStarting Transformation')
for i in range(0, N):
sys.stdout.write('\r')
sys.stdout.write('\tCurrent process : %0.2f%%' % (i % N / N * 100))
sys.stdout.flush()
LV.SetPx(Px[i])
LV.SetPy(Py[i])
LV.SetPz(Pz[i])
LV.SetE(E[i])
Pt[i] = LV.Pt()
Eta[i] = LV.Eta()
Phi[i] = LV.Phi()
M[i] = LV.M()
print()
return Pt, Eta, Phi, M
l1 = TLorentzVector(0., 0., 0., 0.)
l2 = TLorentzVector(0., 0., 0., 0.)
q1 = TLorentzVector(0., 0., 0., 0.)
q2 = TLorentzVector(0., 0., 0., 0.)
isMuon = False
qcount = 0
for i in range(len(e['particles'])):
# Check if final state
if e['particles'][i]['status'] == 1:
pdgid = e['particles'][i]['id']
Px = e['particles'][i]['px']
Py = e['particles'][i]['py']
Pz = e['particles'][i]['pz']
E = e['particles'][i]['e']
if pdgid == -13 or pdgid == -11:
l1.SetPx(Px)
l1.SetPy(Py)
l1.SetPz(Pz)
l1.SetE(E)
if pdgid == -11:
isMuon = False
else:
isMuon = True
elif pdgid == 13 or pdgid == 11:
l2.SetPx(Px)
l2.SetPy(Py)
l2.SetPz(Pz)
l2.SetE(E)
elif (pdgid == 21 or abs(pdgid) < 7) and qcount == 0:
q1.SetPx(Px)
q1.SetPy(Py)
for e in pylhe.readLHE(inputDire + args[1] + '.lhe'):
X = TLorentzVector(0., 0., 0., 0.)
Z1 = TLorentzVector(0., 0., 0., 0.)
Z2 = TLorentzVector(0., 0., 0., 0.)
l1 = TLorentzVector(0., 0., 0., 0.)
l2 = TLorentzVector(0., 0., 0., 0.)
q1 = TLorentzVector(0., 0., 0., 0.)
q2 = TLorentzVector(0., 0., 0., 0.)
ID1 = 0
ID2 = 0
isMuon = False
bosonCount = 0
for i in range(len(e['particles'])):
if e['particles'][i]['id'] == -13 or e['particles'][i]['id'] == -11:
l1.SetPx(e['particles'][i]['px'])
l1.SetPy(e['particles'][i]['py'])
l1.SetPz(e['particles'][i]['pz'])
l1.SetE(e['particles'][i]['e'])
ID1 = int(e['particles'][i]['mother1'] - 1)
if e['particles'][i]['id'] == -11:
isMuon = False
else:
isMuon = True
elif e['particles'][i]['id'] == 13 or e['particles'][i]['id'] == 11:
l2.SetPx(e['particles'][i]['px'])
l2.SetPy(e['particles'][i]['py'])
l2.SetPz(e['particles'][i]['pz'])
l2.SetE(e['particles'][i]['e'])
elif abs(e['particles'][i]
['id']) < 7 and e['particles'][i]['id'] < 0:
hhiggsTau21.Fill(ak8jet_tau2[j] / ak8jet_tau1[j], evtwt)
hdRhiggslepP4.Fill(ak8jetP4.DeltaR(primarylep), evtwt)
hhiggssdmass.Fill(ak8jet_sdmass[j], evtwt)
if nHiggs < 1: continue
#if nhiggsmatched < 1: continue
ncut += 1
hCutflow.Fill(ncut, evtwt)
#------------------------------------------------------------------------
# MASS RECONSTRUCTION
#------------------------------------------------------------------------
# Finding Pz for Neutrino
nuP4 = TLorentzVector(0.0, 0.0, 0.0, 0.0)
nuP4.SetPx(met_px)
nuP4.SetPy(met_py)
nuP4.SetPz(met_pz)
sol1 = 0.0
sol2 = 0.0
isNuPz, sol1, sol2 = SolveNuPz(primarylep, nuP4, 80.4, sol1, sol2)
if abs(sol1) < abs(sol2):
nuP4.SetPz(sol1)
else:
nuP4.SetPz(sol2)
nuP4 = AdjustEnergyForMass(nuP4, 0.0)
# Initialize
topMass = 174.0
higgsMass = 125.0
def process(self, event):
#survival variable is for an artififcal cut flow because the real selection is done in the ROOT macro
survival = 'dead'
self.counters['cut_flow'].inc('All events')
det = getattr(event, self.cfg_ana.det)
if det == 1:
print 'no Solution for scaling factor!'
return False
jets = getattr(event, self.cfg_ana.input_jets)
if len(jets) == 2:
self.counters['cut_flow'].inc('2 jets')
#bjets are actually all jets
bjets = [jet for jet in jets]
realbjets = [jet for jet in jets
if jet.tags['bmatch']] #assuming 100% b-tag efficiency
if len(realbjets) == 2:
self.counters['cut_flow'].inc('2 b jets')
survival = 'alive'
elif len(realbjets) == 1:
self.counters['cut_flow'].inc('1 b jet')
#emratio returns the energy ration (electromagnetic E/total E) of the jet in which it is the greatest
emratio = []
for i in range(2):
emratio.append(bjets[i].constituents[22].e() / bjets[i].e())
setattr(event, self.cfg_ana.emratio, max(emratio))
#Total visible mass######################################
pvis = bjets[0].p4() + bjets[1].p4()
mvis = pvis.M()
setattr(event, self.cfg_ana.mvis, mvis)
if mvis < 10 or mvis > 180:
survival = 'dead'
elif survival == 'alive':
self.counters['cut_flow'].inc('mvis between 10 and 180')
#missing mass############################################
misenergy = getattr(event, self.cfg_ana.misenergy)
if misenergy.m() > 125 or misenergy.m() < 65:
survival = 'dead'
elif survival == 'alive':
self.counters['cut_flow'].inc('m_miss between 65 and 125')
#transversal momentum###########################################
#cross check: succeeded
# print 'compare ', bjets[0].pt(),' to ',math.sqrt(bjets[0].p3().Px()**2+bjets[0].p3().Py()**2)
pTges = 0
lix = []
liy = []
for jet in bjets:
lix.append(jet.p3().Px())
liy.append(jet.p3().Py())
xve = lix[0] + lix[1]
yve = liy[0] + liy[1]
pTges = math.sqrt(xve**2 + yve**2)
setattr(event, self.cfg_ana.pTges, pTges)
if pTges <= 15.:
survival = 'dead'
elif survival == 'alive':
self.counters['cut_flow'].inc('Trans momentum > 15 GeV')
#cross check: succeeded
# pTtest=math.sqrt((bjets[0].p3().Px()+bjets[1].p3().Px())**2+(bjets[0].p3().Py()+bjets[1].p3().Py())**2)
# print 'compare ',pTtest,' to ', pTges
#longitudinal moementum############################################
pLges = 0
liz = []
for jet in bjets:
liz.append(jet.p3().Pz())
pLges = abs(liz[0] + liz[1])
setattr(event, self.cfg_ana.pLges, abs(pLges))
if abs(pLges) >= 50.:
survival = 'dead'
elif survival == 'alive':
self.counters['cut_flow'].inc('Long momentum < 50 GeV')
#cross check: succeeded
# pLtest=math.sqrt((bjets[0].p3().Pz()+bjets[1].p3().Pz())**2)
# print 'compare ',pLtest,' to ',pLges
#alpha: angle between the 2 jets############################################
# skalarp is the scalar product of bjet_1 and bjet_2; skalarpa(b) is the product of bjet_1(bjet_2)
# with itself
skalarp = bjets[1].p3().Px() * bjets[0].p3().Px() + bjets[0].p3().Py(
) * bjets[1].p3().Py() + bjets[0].p3().Pz() * bjets[1].p3().Pz()
skalarpa = bjets[0].p3().Px() * bjets[0].p3().Px() + bjets[0].p3().Py(
) * bjets[0].p3().Py() + bjets[0].p3().Pz() * bjets[0].p3().Pz()
skalarpb = bjets[1].p3().Px() * bjets[1].p3().Px() + bjets[1].p3().Py(
) * bjets[1].p3().Py() + bjets[1].p3().Pz() * bjets[1].p3().Pz()
# print bjets[0].scalarp(bjets[0])
cosa = skalarp / (math.sqrt(skalarpa) * math.sqrt(skalarpb))
# alpha is the angle between the two jets in degrees
try:
alpha = 360 * math.acos(cosa) / (2 * math.pi)
except ValueError:
#Very Rare...something like 1 of 100000 events in qqbar
#This ValueError is very weird and must come from some roudning problems in python. It happens very rarely. The particles are exactly back to back so cosa is -1 but the way cosa is calc it becomes just slightly smaller than -1 and math.acos(cosa) returns ValueError. Instead of returning False its prob better to set alpha to 180. But gonna check this in more detail
print "#################ValueError#################"
print "cosa= ", cosa #this prints 1 or -1
print "skalarp= ", skalarp
print "skalarpa=", skalarpa
print "skalarpb=", skalarpb
return False
setattr(event, self.cfg_ana.alpha, alpha)
if alpha < 100:
survival = 'dead'
elif survival == 'alive':
self.counters['cut_flow'].inc('Angle between jets > 100 degrees')
#cross variable ################################################################
# normal vector of the plane between the two vectors i.e. cross product
normvec = TLorentzVector(0, 0, 0, 0)
normvec.SetPx(bjets[0].p3().Py() * bjets[1].p3().Pz() -
bjets[0].p3().Pz() * bjets[1].p3().Py())
normvec.SetPy(bjets[0].p3().Pz() * bjets[1].p3().Px() -
bjets[0].p3().Px() * bjets[1].p3().Pz())
normvec.SetPz(bjets[0].p3().Px() * bjets[1].p3().Py() -
bjets[0].p3().Py() * bjets[1].p3().Px())
cross = abs(normvec.Pz() / (math.sqrt(skalarpa * skalarpb)))
cross = math.asin(cross) * 180. / math.pi
setattr(event, self.cfg_ana.cross, cross)
#cross check for cross variable (Patricks code): succeeded
# p1=TVector3(bjets[0].p3().Px(),bjets[0].p3().Py(),bjets[0].p3().Pz())
# p2=TVector3(bjets[1].p3().Px(),bjets[1].p3().Py(),bjets[1].p3().Pz())
# cross2=p1.Unit().Cross(p2.Unit())
# cross2=abs(cross2.Unit().z())
# cross2=math.asin(cross2)*180./math.pi
#cross check: succeeded
# print 'compare: ',bjets[0].norm(), 'to : ',math.sqrt(bjets[0].scalarp(bjets[0]))
# cross check: succeeded
# print abs(normvec.Pz()),'-----',abs((bjets[0].cross(bjets[1])).Pz())
# beta is the angle between the plane of the two jets and the beamaxis
#ZeroDivisonError
if math.sqrt(normvec.Px()**2 + normvec.Py()**2 + normvec.Pz()**2) == 0:
print "##########normvec has norm of 0!!!#########"
#A very rare case...about 1 in 1000000 qqbar events
#reason is the angle between the 2 jets is 0
print "Px= ", normvec.Px()
print "Py= ", normvec.Py()
print "Pz= ", normvec.Pz()
print "jet energies= ", bjets[0].e(), "_,", bjets[1].e()
print "angle betwee nthe jets= ", alpha #this returns 0
return False
cosb = normvec.Pz() / (math.sqrt(normvec.Px()**2 + normvec.Py()**2 +
normvec.Pz()**2))
beta = 360 * math.acos(cosb) / (2 * math.pi)
beta1 = 180 - beta
#cross check Colins acoplanarity code: succeeded
# j1=bjets[0].p3()
# j2=bjets[1].p3()
# axis=TVector3(0,0,1)
# normal = j1.Cross(j2).Unit()
# angle=normal.Angle(axis)-math.pi/2.
# print angle,angle*180./math.pi,90-min(beta,beta1),cross2
# cross check: succeeded
# sintest=abs(normvec.Pz())/(math.sqrt(normvec.Px()**2+normvec.Py()**2+normvec.Pz()**2))
# betatest=360*math.asin(sintest)/(2*math.pi)
# print 'compare ',betatest, ' to ',90-min(beta,beta1)
setattr(event, self.cfg_ana.beta, 90 - min(beta, beta1))
if cross < 10:
survival = 'dead'
elif survival == 'alive':
self.counters['cut_flow'].inc('cross > 10')
if survival == 'alive':
self.counters['cut_flow'].inc('Total # of events after cuts')
setattr(event, self.cfg_ana.cutlife, survival)
#cross check:succeeded
# ptcs = getattr(event, self.cfg_ana.particles)
# pvis = TLorentzVector(0,0,0,0)
# for ptc in ptcs:
# pvis+=ptc.p4()
# print pvis.M()
# print mvis
#Total number of charged tracks
nchargedtracks = bjets[0].constituents[211].num(
) + bjets[1].constituents[211].num()
setattr(event, self.cfg_ana.ctracks, nchargedtracks)