# example for accessing smeared hits and fitted tracks
import os,sys,getopt,subprocess,gc
sys.path.append("../../FairShipTools")
import funcsByBarbara as tools
#os.chdir("../../FairShipRun")
#os.system("bash config.sh")
#os.chdir("../FairShip/macro")
## Tanto non funziona
#subprocess.call("cd ../../FairShipRun", shell=True)
#subprocess.call(". config.sh", shell=True)
#subprocess.call("cd ../FairShip/macro", shell=True)
import ROOT
import rootUtils as ut
import shipunit as u
from ShipGeoConfig import ConfigRegistry
PDG = ROOT.TDatabasePDG.Instance()
inputFile = None
dy = None
nEvents = 99999
theHNLcode = 9900015
signal_file = False
bg_file = False
file_type = None
try:
opts, args = getopt.getopt(sys.argv[1:], "n:t:f:o:A:Y:i", ["nEvents=", "type="])
except getopt.GetoptError:
# print help information and exit:
print ' enter file name'
sys.exit()
for o, a in opts:
if o in ("-f"):
inputFile = a
if o in ("-o"):
outputFile = a
if o in ("-Y"):
dy = float(a)
if o in ("-n", "--nEvents="):
nEvents = int(a)
if o in ("-t", "--type="):
file_type = str(a)
if not file_type:
print " please select file type (sig or bg)"
sys.exit()
if 'sig' in file_type:
signal_file = True
elif 'bg' in file_type:
bg_file = True
else:
print " please select file type (sig or bg)"
sys.exit()
print
print "\tFile type is: "+file_type
print
if not outputFile:
outputFile = "ShipAna.root"
# If directory of output file does not exist, create it (depth=3)
if not os.path.exists(os.path.dirname(outputFile)):
if not os.path.exists(os.path.dirname(os.path.dirname(outputFile))):
if not os.path.exists(os.path.dirname(os.path.dirname(os.path.dirname(outputFile)))):
os.system("mkdir "+os.path.dirname(os.path.dirname(os.path.dirname(outputFile))))
os.system("mkdir "+os.path.dirname(os.path.dirname(outputFile)))
os.system("mkdir "+os.path.dirname(outputFile))
if not dy:
# try to extract from input file name
tmp = inputFile.replace(os.path.dirname(inputFile),'')
tmp = tmp.split('.')
try:
dy = float( tmp[1]+'.'+tmp[2] )
except:
dy = None
#else:
# inputFile = 'ship.'+str(dy)+'.Pythia8-TGeant4_rec.root'
if not inputFile:
inputFile = 'ship.'+str(dy)+'.Pythia8-TGeant4_rec.root'
f = ROOT.TFile(inputFile)
sTree = f.cbmsim
# init geometry and mag. field
ShipGeo = ConfigRegistry.loadpy("$FAIRSHIP/geometry/geometry_config.py", Yheight = dy )
# -----Create geometry----------------------------------------------
import shipDet_conf
run = ROOT.FairRunSim()
modules = shipDet_conf.configure(run,ShipGeo)
tgeom = ROOT.TGeoManager("Geometry", "Geane geometry")
geofile = inputFile.replace('ship.','geofile_full.').replace('_rec.','.')
gMan = tgeom.Import(geofile)
geoMat = ROOT.genfit.TGeoMaterialInterface()
ROOT.genfit.MaterialEffects.getInstance().init(geoMat)
bfield = ROOT.genfit.BellField(ShipGeo.Bfield.max, ShipGeo.Bfield.z,2)
fM = ROOT.genfit.FieldManager.getInstance()
fM.init(bfield)
ev = ut.PyListOfLeaves()
leaves = sTree.GetListOfLeaves()
names = ut.setAttributes(ev, leaves)
# Correct weights for neutrinos
weightHistFile = ROOT.TFile("../../FairShipTools/histoForWeights.root","read")
weightHist = weightHistFile.Get("h_Gio")
# Get geometry positions
nodes = tools.searchForNodes2_xyz_dict(geofile)
scintTankW = [nodes["lidT1lisci_1"]['z']['pos']-nodes["lidT1lisci_1"]['z']['dim'], nodes["lidT1lisci_1"]['z']['pos']+nodes["lidT1lisci_1"]['z']['dim']]
scintWPos = [scintTankW]
trackStationsPos = [ [nodes["Tr%s_%s"%(i,i)]['z']['pos']-nodes["Tr%s_%s"%(i,i)]['z']['dim'], nodes["Tr%s_%s"%(i,i)]['z']['pos']+nodes["Tr%s_%s"%(i,i)]['z']['dim']] for i in xrange(1,5)]
muonStationsPos = [ [nodes["muondet%s_1"%(i)]['z']['pos']-nodes["muondet%s_1"%(i)]['z']['dim'], nodes["muondet%s_1"%(i)]['z']['pos']+nodes["muondet%s_1"%(i)]['z']['dim']] for i in xrange(0,4)]
strawVetoPos = [ [nodes["Veto_5"]['z']['pos']-nodes["Veto_5"]['z']['dim'], nodes["Veto_5"]['z']['pos']+nodes["Veto_5"]['z']['dim']] ]
# ecal points are before the start of the ecal, systematically.
ecalPos = [ [nodes['Ecal_1']['z']['pos']-2.*nodes['Ecal_1']['z']['dim'], nodes['Ecal_1']['z']['pos']+nodes['Ecal_1']['z']['dim']] ]
hcalPos = [ [nodes['Hcal_1']['z']['pos']-nodes['Hcal_1']['z']['dim'], nodes['Hcal_1']['z']['pos']+nodes['Hcal_1']['z']['dim']] ]
volume = [nodes["lidT1O_1"]['z']['pos']-nodes["lidT6O_1"]['z']['dim'],nodes["lidT6O_1"]['z']['pos']-nodes["lidT6O_1"]['z']['dim']]
vetoWall = [ [volume[0], nodes['Tr1_1']['z']['pos']-nodes['Tr1_1']['z']['dim']] ]
print '\t stored some geometry nodes'
#print 'ecal pos: ', ecalPos[0]
h = {}
#ut.bookHist(h,'delPOverP','delP / P',100,0.,50.,100,-0.5,0.5)
#ut.bookHist(h,'delPtOverP','delPt / P',100,0.,50.,100,-0.5,0.5)
#ut.bookHist(h,'delPtOverPt','delPt / Pt',100,0.,50.,100,-0.5,0.5)
#ut.bookHist(h,'delPOverP2','delP / P chi2/nmeas<25',100,0.,50.,100,-0.5,0.5)
#ut.bookHist(h,'delPOverPz','delPz / Pz',100,0.,50.,100,-0.5,0.5)
#ut.bookHist(h,'delPOverP2z','delPz / Pz chi2/nmeas<25',100,0.,50.,100,-0.5,0.5)
#ut.bookHist(h,'chi2','chi2/nmeas after trackfit',100,0.,100.)
#ut.bookHist(h,'IP','Impact Parameter',100,0.,10.)
#ut.bookHist(h,'meas','number of measurements',40,-0.5,39.5)
#ut.bookHist(h,'measVSchi2','number of measurements vs chi2/meas',40,-0.5,39.5,100,0.,100.)
#ut.bookHist(h,'distu','distance to wire',100,0.,1.)
#ut.bookHist(h,'distv','distance to wire',100,0.,1.)
#ut.bookHist(h,'disty','distance to wire',100,0.,1.)
#ut.bookHist(h,'meanhits','mean number of hits / track',50,-0.5,49.5)
#ut.bookHist(h,'Pt','Reconstructed transverse momentum',100,0.,40.)
ut.bookHist(h,'Candidate-DOCA','DOCA between the two tracks',300,0.,50.)
ut.bookHist(h,'Candidate-IP0','Impact Parameter to target',200,0.,300.)
ut.bookHist(h,'Candidate-IP0/mass','Impact Parameter to target vs mass',100,0.,2.,100,0.,100.)
ut.bookHist(h,'Candidate-Mass','reconstructed Mass',100,0.,4.)
ut.bookHist(h,'Candidate-Pt','reconstructed Pt',100,0.,40.)
ut.bookHist(h,'Candidate-vtxx','X position of reconstructed vertex',150,-4000.,4000.)
ut.bookHist(h,'Candidate-vtxy','Y position of reconstructed vertex',150,-4000.,4000.)
ut.bookHist(h,'Candidate-vtxz','Z position of reconstructed vertex',150,-4000.,4000.)
ut.bookHist(h,'CandidateDaughters-Pt','reconstructed Pt of candidate daughters',100,0.,40.)
ut.bookHist(h,'CandidateDaughters-chi2','chi2/nmeas after trackfit',100,0.,100.)
def myVertex(t1,t2,PosDir):
# closest distance between two tracks
V=0
for i in range(3): V += PosDir[t1][1](i)*PosDir[t2][1](i)
S1=0
for i in range(3): S1 += (PosDir[t1][0](i)-PosDir[t2][0](i))*PosDir[t1][1](i)
S2=0
for i in range(3): S2 += (PosDir[t1][0](i)-PosDir[t2][0](i))*PosDir[t2][1](i)
l = (S2-S1*V)/(1-V*V)
x2 = PosDir[t2][0](0)+l*PosDir[t2][1](0)
y2 = PosDir[t2][0](1)+l*PosDir[t2][1](1)
z2 = PosDir[t2][0](2)+l*PosDir[t2][1](2)
x1 = PosDir[t1][0](0)+l*PosDir[t1][1](0)
y1 = PosDir[t1][0](1)+l*PosDir[t1][1](1)
z1 = PosDir[t1][0](2)+l*PosDir[t1][1](2)
dist = ROOT.TMath.Sqrt((x1-x2)**2+(y1-y2)**2+(z1-z2)**2)
return (x1+x2)/2.,(y1+y2)/2.,(z1+z2)/2.,dist
def fitSingleGauss(x,ba=None,be=None):
name = 'myGauss_'+x
myGauss = h[x].GetListOfFunctions().FindObject(name)
if not myGauss:
if not ba : ba = h[x].GetBinCenter(1)
if not be : be = h[x].GetBinCenter(h[x].GetNbinsX())
bw = h[x].GetBinWidth(1)
mean = h[x].GetMean()
sigma = h[x].GetRMS()
norm = h[x].GetEntries()*0.3
myGauss = ROOT.TF1(name,'[0]*'+str(bw)+'/([2]*sqrt(2*pi))*exp(-0.5*((x-[1])/[2])**2)+[3]',4)
myGauss.SetParameter(0,norm)
myGauss.SetParameter(1,mean)
myGauss.SetParameter(2,sigma)
myGauss.SetParameter(3,1.)
myGauss.SetParName(0,'Signal')
myGauss.SetParName(1,'Mean')
myGauss.SetParName(2,'Sigma')
myGauss.SetParName(3,'bckgr')
h[x].Fit(myGauss,'','',ba,be)
def makePlots():
ut.bookCanvas(h,key='strawanalysis',title='Distance to wire and mean nr of hits',nx=1200,ny=600,cx=2,cy=1)
cv = h['strawanalysis'].cd(1)
h['disty'].Draw()
h['distu'].Draw('same')
h['distv'].Draw('same')
cv = h['strawanalysis'].cd(2)
h['meanhits'].Draw()
ut.bookCanvas(h,key='fitresults',title='Fit Results',nx=1600,ny=1200,cx=2,cy=2)
cv = h['fitresults'].cd(1)
h['delPOverPz'].Draw('box')
cv = h['fitresults'].cd(2)
cv.SetLogy(1)
h['chi2'].Draw()
cv = h['fitresults'].cd(3)
h['delPOverPz_proj'] = h['delPOverPz'].ProjectionY()
ROOT.gStyle.SetOptFit(11111)
h['delPOverPz_proj'].Draw()
h['delPOverPz_proj'].Fit('gaus')
cv = h['fitresults'].cd(4)
h['delPOverP2z_proj'] = h['delPOverP2z'].ProjectionY()
h['delPOverP2z_proj'].Draw()
fitSingleGauss('delPOverP2z_proj')
h['fitresults'].Print('fitresults.gif')
ut.bookCanvas(h,key='fitresults2',title='Fit Results',nx=1600,ny=1200,cx=2,cy=2)
print 'finished with first canvas'
cv = h['fitresults2'].cd(1)
h['Doca'].Draw()
cv = h['fitresults2'].cd(2)
h['IP0'].Draw()
cv = h['fitresults2'].cd(3)
h['Mass'].Draw()
fitSingleGauss('Mass')
cv = h['fitresults2'].cd(4)
h['IP0/mass'].Draw('box')
h['fitresults2'].Print('fitresults2.gif')
print 'finished making plots'
# start event loop
def myEventLoop(N):
nEvents = min(sTree.GetEntries(),N)
for n in range(nEvents):
rc = sTree.GetEntry(n)
wg = sTree.MCTrack[0].GetWeight()
if not wg>0.: wg=1.
## make some straw hit analysis
#hitlist = {}
#for ahit in sTree.strawtubesPoint:
# detID = ahit.GetDetectorID()
# top = ROOT.TVector3()
# bot = ROOT.TVector3()
# modules["Strawtubes"].StrawEndPoints(detID,bot,top)
# dw = ahit.dist2Wire()
# if abs(top.y())==abs(bot.y()): h['disty'].Fill(dw)
# if abs(top.y())>abs(bot.y()): h['distu'].Fill(dw)
# if abs(top.y())<abs(bot.y()): h['distv'].Fill(dw)
# trID = ahit.GetTrackID()
# if not trID < 0 :
# if hitlist.has_key(trID): hitlist[trID]+=1
# else: hitlist[trID]=1
#for tr in hitlist: h['meanhits'].Fill(hitlist[tr])
key = -1
fittedTracks = {}
for atrack in sTree.FitTracks:
key+=1
fitStatus = atrack.getFitStatus()
nmeas = atrack.getNumPoints()
h['meas'].Fill(nmeas)
if not fitStatus.isFitConverged() : continue
fittedTracks[key] = atrack
# needs different study why fit has not converged, continue with fitted tracks
chi2 = fitStatus.getChi2()/nmeas
fittedState = atrack.getFittedState()
h['chi2'].Fill(chi2,wg)
h['measVSchi2'].Fill(atrack.getNumPoints(),chi2)
P = fittedState.getMomMag()
Pz = fittedState.getMom().z()
Pt = ROOT.TMath.Sqrt(P*P - Pz*Pz)
h['Pt'].Fill(Pt)
mcPartKey = sTree.fitTrack2MC[key]
mcPart = sTree.MCTrack[mcPartKey]
if not mcPart : continue
Ptruth = mcPart.GetP()
Ptruthz = mcPart.GetPz()
Ptrutht = ROOT.TMath.Sqrt(Ptruth*Ptruth - Ptruthz*Ptruthz)
delPtOverPt = (Ptrutht - Pt)/Ptrutht
delPtOverP = (Ptrutht - Pt)/Ptruth
delPOverP = (Ptruth - P)/Ptruth
h['delPOverP'].Fill(Ptruth,delPOverP)
h['delPtOverP'].Fill(Ptruth,delPtOverP)
h['delPtOverPt'].Fill(Ptrutht,delPtOverPt)
delPOverPz = (1./Ptruthz - 1./Pz) * Ptruthz
h['delPOverPz'].Fill(Ptruthz,delPOverPz)
if chi2>25: continue
h['delPOverP2'].Fill(Ptruth,delPOverP)
h['delPOverP2z'].Fill(Ptruth,delPOverPz)
# try measure impact parameter
trackDir = fittedState.getDir()
trackPos = fittedState.getPos()
vx = ROOT.TVector3()
mcPart.GetStartVertex(vx)
t = 0
for i in range(3): t += trackDir(i)*(vx(i)-trackPos(i))
dist = 0
for i in range(3): dist += (vx(i)-trackPos(i)-t*trackDir(i))**2
dist = ROOT.TMath.Sqrt(dist)
h['IP'].Fill(dist)
# loop over particles, 2-track combinations
# From Thomas:
# An object in sTree.Particles is made out of two fitted tracks.
# Except of the mass assignment, and fake pattern recognition (only
# hits from same MCTrack are used), no other MC truth. No requirement
# that the two tracks come from the same MCTrack ! GetDaughter allows to
# get back to the underlying tracks, see ShipReco.py:
# particle = ROOT.TParticle(9900015,0,-1,-1,t1,t2,HNL,vx)
for HNL in sTree.Particles:
if signal_file and not (HNL.GetPdgCode() == theHNLcode): continue
#if bg_file and (HNL.GetPdgCode() == theHNLcode): continue
t1,t2 = HNL.GetDaughter(0),HNL.GetDaughter(1)
PosDir = {}
for tr in [t1,t2]:
xx = sTree.FitTracks[tr].getFittedState()
PosDir[tr] = [xx.getPos(),xx.getDir()]
h['CandidateDaughters-Pt'].Fill(xx.getMom().Pt())
xv,yv,zv,doca = myVertex(t1,t2,PosDir)
h['Candidate-DOCA'].Fill(doca)
h['Candidate-vtxx'].Fill(xv)
h['Candidate-vtxy'].Fill(yv)
h['Candidate-vtxz'].Fill(zv)
#if doca>5 : continue
HNLPos = ROOT.TLorentzVector()
HNL.ProductionVertex(HNLPos)
HNLMom = ROOT.TLorentzVector()
HNL.Momentum(HNLMom)
tr = ROOT.TVector3(0,0,ShipGeo.target.z0)
t = 0
for i in range(3): t += HNLMom(i)/HNLMom.P()*(tr(i)-HNLPos(i))
dist = 0
for i in range(3): dist += (tr(i)-HNLPos(i)-t*HNLMom(i)/HNLMom.P())**2
dist = ROOT.TMath.Sqrt(dist)
h['Candidate-IP0'].Fill(dist)
h['Candidate-IP0/mass'].Fill(HNLMom.M(),dist)
h['Candidate-Mass'].Fill(HNLMom.M())
h['Candidate-Pt'].Fill(HNLMom.Pt())
elenaTree = ROOT.TTree('ShipAna','ShipAna')
elenaTree, DaughtersPt = tools.AddVect(elenaTree, 'DaughtersPt', 'float')
elenaTree, DaughtersChi2 = tools.AddVect(elenaTree, 'DaughtersChi2', 'float')
elenaTree, DaughtersNPoints = tools.AddVect(elenaTree, 'DaughtersNPoints', 'int')
elenaTree, DaughtersTruthProdX = tools.AddVect(elenaTree, 'DaughtersTruthProdX', 'float')
elenaTree, DaughtersTruthProdY = tools.AddVect(elenaTree, 'DaughtersTruthProdY', 'float')
elenaTree, DaughtersTruthProdZ = tools.AddVect(elenaTree, 'DaughtersTruthProdZ', 'float')
elenaTree, DaughtersTruthPDG = tools.AddVect(elenaTree, 'DaughtersTruthPDG', 'int')
elenaTree, DaughtersTruthMotherPDG = tools.AddVect(elenaTree, 'DaughtersTruthMotherPDG', 'int')
elenaTree, DaughtersFitConverged = tools.AddVect(elenaTree, 'DaughtersFitConverged', 'int')
elenaTree, straw_x = tools.AddVect(elenaTree, 'straw_x', 'float')
elenaTree, straw_y = tools.AddVect(elenaTree, 'straw_y', 'float')
elenaTree, straw_z = tools.AddVect(elenaTree, 'straw_z', 'float')
elenaTree, muon_x = tools.AddVect(elenaTree, 'muon_x', 'float')
elenaTree, muon_y = tools.AddVect(elenaTree, 'muon_y', 'float')
elenaTree, muon_z = tools.AddVect(elenaTree, 'muon_z', 'float')
elenaTree, ecal_x = tools.AddVect(elenaTree, 'ecal_x', 'float')
elenaTree, ecal_y = tools.AddVect(elenaTree, 'ecal_y', 'float')
elenaTree, ecal_z = tools.AddVect(elenaTree, 'ecal_z', 'float')
elenaTree, hcal_x = tools.AddVect(elenaTree, 'hcal_x', 'float')
elenaTree, hcal_y = tools.AddVect(elenaTree, 'hcal_y', 'float')
elenaTree, hcal_z = tools.AddVect(elenaTree, 'hcal_z', 'float')
elenaTree, veto5_x = tools.AddVect(elenaTree, 'veto5_x', 'float')
elenaTree, veto5_y = tools.AddVect(elenaTree, 'veto5_y', 'float')
elenaTree, veto5_z = tools.AddVect(elenaTree, 'veto5_z', 'float')
elenaTree, liquidscint_x = tools.AddVect(elenaTree, 'liquidscint_x', 'float')
elenaTree, liquidscint_y = tools.AddVect(elenaTree, 'liquidscint_y', 'float')
elenaTree, liquidscint_z = tools.AddVect(elenaTree, 'liquidscint_z', 'float')
elenaTree, DOCA = tools.AddVar(elenaTree, 'DOCA', 'float')
elenaTree, vtxx = tools.AddVar(elenaTree, 'vtxx', 'float')
elenaTree, vtxy = tools.AddVar(elenaTree, 'vtxy', 'float')
elenaTree, vtxz = tools.AddVar(elenaTree, 'vtxz', 'float')
elenaTree, IP0 = tools.AddVar(elenaTree, 'IP0', 'float')
elenaTree, Mass = tools.AddVar(elenaTree, 'Mass', 'float')
elenaTree, Pt = tools.AddVar(elenaTree, 'Pt', 'float')
elenaTree, HNLw = tools.AddVar(elenaTree, 'HNLw', 'float')
elenaTree, NuWeight = tools.AddVar(elenaTree, 'NuWeight', 'float')
def elenaEventLoop(N):
entries = sTree.GetEntries()
nEvents = min(entries,N)
for n in range(nEvents):
rc = sTree.GetEntry(n)
key = -1
# loop over particles, 2-track combinations
# From Thomas:
# An object in sTree.Particles is made out of two fitted tracks.
# Except of the mass assignment, and fake pattern recognition (only
# hits from same MCTrack are used), no other MC truth. No requirement
# that the two tracks come from the same MCTrack ! GetDaughter allows to
# get back to the underlying tracks, see ShipReco.py:
# particle = ROOT.TParticle(9900015,0,-1,-1,t1,t2,HNL,vx)
nu = sTree.MCTrack[0]
if len(sTree.MCTrack) == 1 and len(sTree.Particles) > 0:
print "There is an error somewhere! Particles out of nothing..."
sys.exit()
if len(sTree.MCTrack) < 2: continue
nu_daughter = sTree.MCTrack[1]
if not isinstance(nu_daughter, ROOT.ShipMCTrack): continue
nu_x = nu_daughter.GetStartX(); nu_y = nu_daughter.GetStartY(); nu_z = nu_daughter.GetStartZ()
nu_energy = nu.GetEnergy()
nu_w = tools.calcWeight(nu_x,nu_y,nu_z, nu_energy, nodes, entries, weightHist, file_type)
tools.PutToZero(NuWeight); tools.Push(NuWeight, nu_w)
for HNL in sTree.Particles:
if signal_file and not (HNL.GetPdgCode() == theHNLcode): continue
#if bg_file and (HNL.GetPdgCode() == theHNLcode): continue
# Fill hit arrays
tools.PutToZero(straw_x); tools.PutToZero(straw_y); tools.PutToZero(straw_z)
tools.PutToZero(veto5_x); tools.PutToZero(veto5_y); tools.PutToZero(veto5_z)
tools.PutToZero(muon_x); tools.PutToZero(muon_y); tools.PutToZero(muon_z)
tools.PutToZero(ecal_x); tools.PutToZero(ecal_y); tools.PutToZero(ecal_z)
tools.PutToZero(hcal_x); tools.PutToZero(hcal_y); tools.PutToZero(hcal_z)
tools.PutToZero(liquidscint_x); tools.PutToZero(liquidscint_y); tools.PutToZero(liquidscint_z)
hasStraws, nothing = tools.wasFired(None, sTree.strawtubesPoint, trackStationsPos, pointsVects=[straw_x, straw_y, straw_z], Ethr=0.)
hasVeto5, nothing = tools.wasFired(None, sTree.strawtubesPoint, strawVetoPos, pointsVects=[veto5_x, veto5_y, veto5_z], Ethr=0.)
hasMuon, nothing = tools.wasFired(None, sTree.muonPoint, muonStationsPos, pointsVects=[muon_x, muon_y, muon_z], Ethr=0.)
hasEcal, ecalOverThr = tools.wasFired(None, sTree.EcalPoint, ecalPos, pointsVects=[ecal_x, ecal_y, ecal_z], Ethr=0.015)
hasHcal, hcalOverThr = tools.wasFired(None, sTree.HcalPoint, hcalPos, pointsVects=[hcal_x, hcal_y, hcal_z], Ethr=0.015)
hasliquidscint, liquidscintOverThr = tools.wasFired(None, sTree.vetoPoint, vetoWall, pointsVects=[liquidscint_x, liquidscint_y, liquidscint_z], Ethr=0.015)
# get "daughters"
t1,t2 = HNL.GetDaughter(0),HNL.GetDaughter(1)
PosDir = {}
tools.PutToZero(DaughtersFitConverged)
tools.PutToZero(DaughtersChi2)
tools.PutToZero(DaughtersPt)
tools.PutToZero(DaughtersNPoints)
w = sTree.MCTrack[1].GetWeight()
tools.PutToZero(HNLw); tools.Push(HNLw, w)
tools.PutToZero(DaughtersTruthPDG); tools.PutToZero(DaughtersTruthMotherPDG)
tools.PutToZero(DaughtersTruthProdX); tools.PutToZero(DaughtersTruthProdY); tools.PutToZero(DaughtersTruthProdZ);
for tr in [t1,t2]:
converged = 0
x = sTree.FitTracks[tr]
xx = x.getFittedState()
if x.getFitStatus().isFitConverged():
converged = 1
tools.Push(DaughtersFitConverged, converged)
PosDir[tr] = [xx.getPos(),xx.getDir()]
h['CandidateDaughters-Pt'].Fill(xx.getMom().Pt())
tools.Push(DaughtersPt, xx.getMom().Pt())
h['CandidateDaughters-chi2'].Fill(x.getFitStatus().getChi2() / x.getNumPoints())
tools.Push(DaughtersChi2, x.getFitStatus().getChi2())
tools.Push(DaughtersNPoints, x.getNumPoints())
pdg, mumPdg, truthX, truthY, truthZ = tools.retrieveMCParticleInfo(sTree, tr)
tools.Push(DaughtersTruthPDG, pdg); tools.Push(DaughtersTruthMotherPDG, mumPdg)
tools.Push(DaughtersTruthProdX, truthX); tools.Push(DaughtersTruthProdY, truthY); tools.Push(DaughtersTruthProdZ, truthZ);
xv,yv,zv,doca = myVertex(t1,t2,PosDir)
h['Candidate-DOCA'].Fill(doca)
tools.PutToZero(DOCA); tools.Push(DOCA, doca)
h['Candidate-vtxx'].Fill(xv)
tools.PutToZero(vtxx); tools.Push(vtxx, xv)
h['Candidate-vtxy'].Fill(yv)
tools.PutToZero(vtxy); tools.Push(vtxy, yv)
h['Candidate-vtxz'].Fill(zv)
tools.PutToZero(vtxz); tools.Push(vtxz, zv)
#if doca>5 : continue
HNLPos = ROOT.TLorentzVector()
HNL.ProductionVertex(HNLPos)
HNLMom = ROOT.TLorentzVector()
HNL.Momentum(HNLMom)
tr = ROOT.TVector3(0,0,ShipGeo.target.z0)
t = 0
for i in range(3): t += HNLMom(i)/HNLMom.P()*(tr(i)-HNLPos(i))
dist = 0
for i in range(3): dist += (tr(i)-HNLPos(i)-t*HNLMom(i)/HNLMom.P())**2
dist = ROOT.TMath.Sqrt(dist)
h['Candidate-IP0'].Fill(dist)
tools.PutToZero(IP0); tools.Push(IP0, dist)
h['Candidate-IP0/mass'].Fill(HNLMom.M(),dist)
h['Candidate-Mass'].Fill(HNLMom.M())
tools.PutToZero(Mass); tools.Push(Mass, HNLMom.M())
h['Candidate-Pt'].Fill(HNLMom.Pt())
tools.PutToZero(Pt); tools.Push(Pt, HNLMom.Pt())
elenaTree.SetDirectory(0)
elenaTree.Fill()
def HNLKinematics():
ut.bookHist(h,'HNLmomNoW','momentum unweighted',100,0.,300.)
ut.bookHist(h,'HNLmom','momentum',100,0.,300.)
ut.bookHist(h,'HNLmom_recTracks','HNL momentum from reco tracks',100,0.,300.)
ut.bookHist(h,'HNLmomNoW_recTracks','HNL momentum unweighted from reco tracks',100,0.,300.)
for n in range(sTree.GetEntries()):
rc = sTree.GetEntry(n)
wg = sTree.MCTrack[1].GetWeight()
if not wg>0.: wg=1.
P = sTree.MCTrack[1].GetP()
h['HNLmom'].Fill(P,wg)
h['HNLmomNoW'].Fill(P)
for HNL in sTree.Particles:
t1,t2 = HNL.GetDaughter(0),HNL.GetDaughter(1)
for tr in [t1,t2]:
xx = sTree.FitTracks[tr].getFittedState()
Prec = xx.getMom().Mag()
h['HNLmom_recTracks'].Fill(Prec,wg)
h['HNLmomNoW_recTracks'].Fill(Prec)
#
def access2SmearedHits():
key = 0
for ahit in ev.SmearedHits.GetObject():
print ahit[0],ahit[1],ahit[2],ahit[3],ahit[4],ahit[5],ahit[6]
# follow link to true MCHit
mchit = TrackingHits[key]
mctrack = MCTracks[mchit.GetTrackID()]
print mchit.GetZ(),mctrack.GetP(),mctrack.GetPdgCode()
key+=1
#myEventLoop(nEvents)
elenaEventLoop(nEvents)
#makePlots()
#HNLKinematics()
# output histograms
ut.writeHists(h,outputFile)
ofile = ROOT.TFile(outputFile, "update")
elenaTree.Write()
ofile.Close()
weightHistFile.Close()
print "\tOutput saved to ", outputFile
Ubuntu