def calcCosThetaStar(j1, j2):
"""docstring for calcCosThetaStar"""
tmpCM1 = j1 + j2
tmpJ1 = TLorentzVector()
tmpJ2 = TLorentzVector()
tmpJ1.SetPtEtaPhiE(j1.Pt(), j1.Eta(), j1.Phi(), j1.E())
tmpJ2.SetPtEtaPhiE(j2.Pt(), j2.Eta(), j2.Phi(), j2.E())
tmpJ1.Boost(-tmpCM1.BoostVector())
tmpJ2.Boost(-tmpCM1.BoostVector())
tmpV1 = TVector3(tmpJ1.X(), tmpJ1.Y(), tmpJ1.Z())
tmpV2 = TVector3(tmpJ2.X(), tmpJ2.Y(), tmpJ2.Z())
#cosThetaStar1 = abs( ( ( pairoff08[1].Px() * pairoff08[2].Px() ) + ( pairoff08[1].Py() * pairoff08[2].Py() ) + ( pairoff08[1].Pz() * pairoff08[2].Pz() ) ) / ( pairoff08[1].E() * pairoff08[2].E() ) )
cosThetaStar = abs(tmpV1.CosTheta())
return cosThetaStar
def position_aftr_boost(df, args): #args must have 4 elements xyzt or pxpypzE
px, py, pz = getXYZ(df, args)
E = DfToNp(df[[args[3]]].dropna(axis=0))
l = TLorentzVector()
with np.nditer([px, py, pz, E, None, None, None]) as it:
for pi, pj, pk, el, x, y, z in it:
l.SetPxPyPzE(pi, pj, pk, el)
#p = math.hypot(pi,pj)
#p = math.hypot(pk,p)
bi = pi / el
bj = pj / el
bk = pk / el
#print(b)
l.Boost(-bi, -bj, -bk)
z[...] = l.X()
y[...] = l.Y()
z[...] = l.Z()
return (it.operands[4], it.operands[5], it.operands[6])
def fitmZ(self):
dilepton = False
diele = False
dimu = False
if self.leptons[0].pdgId() + self.leptons[1].pdgId() == 0 and \
abs( self.leptons[0].pdgId() - self.leptons[1].pdgId()) > 20 :
dilepton = True
#if not(dilepton) : return -99.
diele = abs(self.leptons[0].pdgId() - self.leptons[1].pdgId()) == 22
dimu = abs(self.leptons[0].pdgId() - self.leptons[1].pdgId()) == 26
l1 = TLorentzVector(self.leptons[0].px(), self.leptons[0].py(),
self.leptons[0].pz(), self.leptons[0].energy())
l2 = TLorentzVector(self.leptons[1].px(), self.leptons[1].py(),
self.leptons[1].pz(), self.leptons[1].energy())
c12 = l1.Vect().Dot(l2.Vect()) / l1.P() / l2.P()
st1 = l1.Pt() / l1.P()
st2 = l2.Pt() / l2.P()
m12 = (l1 + l2).M() / sqrt(l1.E() * l2.E())
fac = 91.188 / (l1 + l2).M()
energies = [l1.E() * fac, l2.E() * fac]
measts = [l1.E(), l2.E()]
def chi2(e):
def breitw2(m, m0, g0):
m02 = m0 * m0
g02 = g0 * g0
delta = m * m - m02
return m02 * g02 / (delta * delta + g02 * m02)
def breitw(m, m0, g0):
delta = m - m0
return m0 * g0 / (delta * delta + g0 * m0)
chi2 = 0.
fudge = 1.
mz = m12 * sqrt(e[0] * e[1])
mzm = m12 * sqrt(measts[0] * measts[1])
#mz = sqrt(2.*e[0]*e[1]*(1.-c12))
#print 'mz = ',mz
sigma1 = 0
sigma2 = 0
if dimu:
chi2 = ( 1./measts[0]-1./e[0] ) * ( 1./measts[0]-1./e[0] ) / (st1*st1) \
+ ( 1./measts[1]-1./e[1] ) * ( 1./measts[1]-1./e[1] ) / (st2*st2)
chi2 /= 25E-8
sigma1 = 5E-4 * 5E-4 * e[0] * e[0] * e[0] * e[0] * st1 * st1
sigma2 = 5E-4 * 5E-4 * e[1] * e[1] * e[0] * e[0] * st2 * st2
fudge = 0.5
elif diele:
sigma1 = (0.155 * 0.155 + 0.043 * 0.043 * e[0] +
0.02 * 0.02 * e[0] * e[0])
sigma2 = (0.155 * 0.155 + 0.043 * 0.043 * e[1] +
0.02 * 0.02 * e[1] * e[1])
chi2 = (measts[0]-e[0])*(measts[0]-e[0]) / sigma1 \
+ (measts[1]-e[1])*(measts[1]-e[1]) / sigma2
fudge = 2.0
else:
sigma1 = (0.5 * 0.5 * e[0] / st1 + 0.04 * 0.04 * e[0] * e[0])
sigma2 = (0.5 * 0.5 * e[1] / st2 + 0.04 * 0.04 * e[1] * e[1])
chi2 = (measts[0]-e[0])*(measts[0]-e[0]) / sigma1 \
+ (measts[1]-e[1])*(measts[1]-e[1]) / sigma2
fudge = 1.0
#print 'chi2 partial = ',chi2
sigmaM = mz * mz * (sigma1 / (e[0] * e[0]) + sigma2 /
(e[1] * e[1])) / 4.
#chi2 = (mzm-mz)*(mzm-mz)/sigmaM
self.chi2partiel = copy.copy(chi2)
chi2 -= fudge * log(breitw2(mz, 91.188,
2.497)) * sqrt(sigmaM) / 2.497
self.chi2total = copy.copy(chi2)
#if diele:
# print 'chi2 partie/complet = ',dimu,diele,mz,mzm,sqrt(sigma1),sqrt(sigma2),sqrt(sigmaM),self.chi2partiel,self.chi2total
return chi2
def fillDerivatives(funga):
def deriv(funga, gamma, i, epsilon):
g = deepcopy(gamma)
g[i] += epsilon
chip = funga(g)
g[i] -= 2. * epsilon
chim = funga(g)
g[i] += epsilon
return (chip - chim) / (2. * epsilon)
def deriv2(funga, gamma, i, j, epsilon, mu):
g = deepcopy(gamma)
g[i] += epsilon
derp = deriv(funga, g, j, mu)
g[i] -= 2. * epsilon
derm = deriv(funga, g, j, mu)
g[i] += epsilon
return (derp - derm) / (2. * epsilon)
rows = []
deri = []
for i in range(len(energies)):
column = []
for j in range(len(energies)):
column.append(deriv2(funga, energies, i, j, 0.001, 0.001))
rows.append(column)
deri.append(deriv(funga, energies, i, 0.001))
return array(rows), array(deri)
from numpy import array, linalg, dot, add
from copy import deepcopy
#print chi2(energies)
Delta = 1E9
t = 0
while Delta > 1E-3 and t < 200:
#print "iteration ",t
t += 1
d2, d = fillDerivatives(chi2)
delta = linalg.solve(d2, d)
Delta = abs(delta[0]) + abs(delta[1])
#print '------------------- '
#print 'Delta = ',Delta
Ki2 = chi2(energies)
factor = 1.
for i in range(len(energies)):
#print i, energies[i], delta[i], d[i]
if abs(delta[i]) > energies[i] / 10.:
factor = min(factor, energies[i] / 10. / abs(delta[i]))
delta = map(lambda x: x * factor, delta)
def chinew(funga, gamma, delta):
gnew = deepcopy(gamma)
for i, g in enumerate(gamma):
gnew[i] -= delta[i]
return funga(gnew) - Ki2
while chinew(chi2, energies, delta) > 1E-5:
delta = map(lambda x: -x * 0.6, delta)
#print ' '
for i in range(len(energies)):
energies[i] -= delta[i]
if t >= 199:
print 'Warning - reached iteration ', t
print diele, dimu, chi2(energies)
for i in range(len(energies)):
print i, energies[i], delta[i], d[i]
#print t, chi2(energies)
l1 *= energies[0] / l1.E()
l2 *= energies[1] / l2.E()
#if not(dimu):
# m12 = (l1+l2).M()
# l1 *= sqrt(91.188/m12)
# l2 *= sqrt(91.188/m12)
#print self.leptons[0]
p41 = self.leptons[0].p4()
p41.SetPxPyPzE(l1.X(), l1.Y(), l1.Z(), l1.T())
self.leptons[0].setP4(p41)
#print self.leptons[1]
p42 = self.leptons[1].p4()
p42.SetPxPyPzE(l2.X(), l2.Y(), l2.Z(), l2.T())
self.leptons[1].setP4(p42)
return chi2(energies)
def multiple_scattering(particle, detector_element, field):
'''This function computes the scattering of a particle while propagating through the detector.
As described in the pdg booklet, Passage of particles through matter, multiple scattering through small angles.
the direction of a charged particle is modified.
This function takes a particle (that has been propagated until the detector element
where it will be scattered) and the detector element responsible for the scattering.
The magnetic field has to be specified in order to create the new trajectory.
Then this function computes the new direction, randomly choosen according to
Moliere's theory of multiple scattering (see pdg booklet) and replaces the
initial path of the particle by this new scattered path.
The particle can now be propagated in the next part of the detector.
'''
if not particle.q():
return
# reject particles that could not be extrapolated to detector element
# (particle created too late, out of the detector element)
surface_in = '{}_in'.format(detector_element.name)
surface_out = '{}_out'.format(detector_element.name)
if not surface_in in particle.path.points or \
not surface_out in particle.path.points:
return
#TODOCOLIN : check usage of private attributes
in_point = particle.path.points[surface_in]
out_point = particle.path.points[surface_out]
phi_in = particle.path.phi(in_point.X(), in_point.Y())
phi_out = particle.path.phi(out_point.X(), out_point.Y())
t_scat = particle.path.time_at_phi((phi_in + phi_out) * 0.5)
# compute p4_t = p4 at t_scat :
p4_0 = particle.path.p4.Clone()
p4tx = p4_0.X()*math.cos(particle.path.omega*t_scat)\
+ p4_0.Y()*math.sin(particle.path.omega*t_scat)
p4ty =-p4_0.X()*math.sin(particle.path.omega*t_scat)\
+ p4_0.Y()*math.cos(particle.path.omega*t_scat)
p4tz = p4_0.Z()
p4tt = p4_0.T()
p4_t = TLorentzVector(p4tx, p4ty, p4tz, p4tt)
# now, p4t will be modified with respect to the multiple scattering
# first one has to determine theta_0 the width of the gaussian :
P = p4_t.Vect().Dot(p4_t.Vect().Unit())
deltat = particle.path.time_at_phi(phi_out) - particle.path.time_at_phi(
phi_in)
x = abs(particle.path.path_length(deltat))
X_0 = detector_element.material.x0
theta_0 = 1.0 * 13.6e-3 / (1.0 * particle.path.speed / constants.c *
P) * abs(particle.path.charge)
theta_0 *= (1.0 * x / X_0)**(1.0 / 2) * (1 +
0.038 * math.log(1.0 * x / X_0))
# now, make p4_t change due to scattering :
theta_space = random.gauss(0, theta_0 * 2.0**(1.0 / 2))
psi = constants.pi * random.uniform(0, 1) #double checked
p3i = p4_t.Vect().Clone()
e_z = TVector3(0, 0, 1)
#first rotation : theta, in the xy plane
a = p3i.Cross(e_z)
#this may change the sign, but randomly, as the sign of theta already is
p4_t.Rotate(theta_space, a)
#second rotation : psi (isotropic around initial direction)
p4_t.Rotate(psi, p3i.Unit())
# creating new helix, ref at scattering point :
helix_new_t = Helix(field, particle.path.charge, p4_t,
particle.path.point_at_time(t_scat))
# now, back to t=0
p4sx = p4_t.X()*math.cos(-particle.path.omega*t_scat)\
+ p4_t.Y()*math.sin(-particle.path.omega*t_scat)
p4sy =-p4_t.X()*math.sin(-particle.path.omega*t_scat)\
+ p4_t.Y()*math.cos(-particle.path.omega*t_scat)
p4sz = p4_t.Z()
p4st = p4_t.T()
p4_scat = TLorentzVector(p4sx, p4sy, p4sz, p4st)
# creating new helix, ref at new t0 point :
helix_new_0 = Helix(field, particle.path.charge, p4_scat,
helix_new_t.point_at_time(-t_scat))
# replacing the particle's path with the scatterd one :
particle.set_path(helix_new_0, option='w')
def get_gen_kin(rootfile):
intree = rfile.Get('kin')
d = tree2array(intree)
Px = d['Px_FinalState']
Py = d['Py_FinalState']
Pz = d['Pz_FinalState']
E = d['E_FinalState']
Px_beam = d['Px_Beam']
Py_beam = d['Py_Beam']
Pz_beam = d['Pz_Beam']
E_beam = d['E_Beam']
#get numpy arrays to save later
mproton = np.zeros_like(Px)
metap = np.zeros_like(Px)
mpi0 = np.zeros_like(Px)
metaprimepi0 = np.zeros_like(Px)
beam_energy = np.zeros_like(Px)
cos_theta = np.zeros_like(Px)
#declare TLorentzVector
Beam_P4 = TLorentzVector()
Proton_P4 = TLorentzVector()
Etaprime_P4 = TLorentzVector()
Pi0_P4 = TLorentzVector()
Etaprimepi0_P4 = TLorentzVector()
#declare stuff to convert to GJ frame
boostGJ = TVector3()
Beam_P4_GJ = TLorentzVector()
Proton_P4_GJ = TLorentzVector()
Etaprime_P4_GJ = TLorentzVector()
Pi0_P4_GJ = TLorentzVector()
Etaprimepi0_P4_GJ = TLorentzVector()
z_GJ = TVector3()
z_hat_GJ = TVector3()
y_GJ = TVector3()
y_hat_GJ = TVector3()
x_hat_GJ = TVector3()
vetaprime = TVector3()
for i in range(len(Px)):
#for i in range(100):
#m = np.sqrt(E[i][0]**2 - (Px[i][0]**2 + Py[i][0]**2 + Pz[i][0]**2))
#metap[i] = m
#get TLorentzVector vectors
Beam_P4.SetPxPyPzE(Px_beam[i], Py_beam[i], Pz_beam[i], E_beam[i])
Proton_P4.SetPxPyPzE(Px[i][0], Py[i][0], Pz[i][0], E[i][0])
Etaprime_P4.SetPxPyPzE(Px[i][1], Py[i][1], Pz[i][1], E[i][1])
Pi0_P4.SetPxPyPzE(Px[i][2], Py[i][2], Pz[i][2], E[i][2])
#do stuff here
Etaprimepi0_P4 = Etaprime_P4 + Pi0_P4
#get the boost vector
boostGJ = (-1) * (Etaprimepi0_P4.Vect()) * (1.0 / Etaprimepi0_P4.E())
Beam_P4_GJ = Beam_P4
Proton_P4_GJ = Proton_P4
Etaprime_P4_GJ = Etaprime_P4
Pi0_P4_GJ = Pi0_P4
Etaprimepi0_P4_GJ = Etaprimepi0_P4
#boost vectors to GJ frame
Beam_P4_GJ.Boost(boostGJ)
Proton_P4_GJ.Boost(boostGJ)
Etaprime_P4_GJ.Boost(boostGJ)
Pi0_P4_GJ.Boost(boostGJ)
Etaprimepi0_P4_GJ.Boost(boostGJ)
z_GJ.SetXYZ(Beam_P4_GJ.X(), Beam_P4_GJ.Y(), Beam_P4_GJ.Z())
z_hat_GJ = z_GJ.Unit()
y_GJ = Beam_P4.Vect().Cross(Etaprimepi0_P4.Vect())
y_hat_GJ = y_GJ.Unit()
x_hat_GJ = y_hat_GJ.Cross(z_hat_GJ)
vetaprime.SetXYZ(Etaprime_P4_GJ.Vect() * x_hat_GJ,
Etaprime_P4_GJ.Vect() * y_hat_GJ,
Etaprime_P4_GJ.Vect() * z_hat_GJ)
cos_theta[i] = vetaprime.CosTheta()
mproton[i] = Proton_P4.M()
metap[i] = Etaprime_P4.M()
mpi0[i] = Pi0_P4.M()
metaprimepi0[i] = Etaprimepi0_P4.M()
beam_energy[i] = Beam_P4.E()
return np.savez(
'/Users/rupeshdotel/analysis/work/pi0pippimeta/data/MC/check_events.npz',
mproton=mproton,
metap=metap,
mpi0=mpi0,
metaprimepi0=metaprimepi0,
cos_theta=cos_theta,
beam_energy=beam_energy)