KTeV KL->pi pi e e plots
Updated August 8, 2005.
[KL->pi pi ee Results]
Plots from
[PRL96 (2006)]
[DPF2002]
[PRL84 (2000)]
[PRL80 (1998)]
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ppee_mass_asym_gray.eps,
ppee_mass_asym_gray.pdf
FIG.1. Mpi+pi-e+e- invariant mass for events passing all KL->pi+pi-e+e- physics cuts. The superimposed KL mass peaks for sin phi cos phi > 0 (white histogram) and < 0 (gray histogram) directly demonstrate the large CP violating asymmetry. There is no asymmetry in the backgrounds to the two peaks as demonstrated by their complete overlap of the distributions outside the kaon peak region.
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tmp2.eps,
tmp2.pdf
FIG.2.a) Likelihood fit to the independent variable sin phi cos phi
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tmp3.eps,
tmp3.pdf
FIG.2.b) Likelihood fit to the independent variable Mpi+ pi-
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31.eps,
31.pdf
FIG.2.c) Likelihood fit to the independent variable Me+ e- (the dotted curve in the insert in this figure shows the deficit of e+e- pairs at high Mee if the charge radius process is ignored. The chi2/dof for the fit of the model to the data increases from 0.85 to 1.6 if the charge radius process is left out.)
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tmp5.eps,
tmp5.pdf
Likelihood fit to the independent variable thetapi+
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tmp6.eps,
tmp6.pdf
Likelihood fit to the independent variable thetae+
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tmp7.eps,
tmp7.pdf
Likelihood fit to the Egamma* defined as Ee+ + Ee-
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Plots shown at
DPF2002
by Alexandar Golossanov (May 2002)
Transparencies of the the talk (PDF)
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contour.eps
Contour plot of the log Likelihood.
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contour_plain.eps
Contour plot of the log Likelihood.
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dom_Mee.eps
Mee. Crosses show data, and histogram shows MC.
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dom_Mee_logy.eps
Mee in semi-log scale. Crosses show data, and histogram shows MC.
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dom_Mpp.eps
Mpi pi distribution.
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dom_cel.eps
cos thetae distribution. Crosses show data, and the histogram shows MC.
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dom_cpi.eps
cos thetapi distribution. Crosses show data, and the histogram show MC.
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dom_phi.eps
phi distribution. Crosses show data, and the histogram shows MC.
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dom_scphi.eps
sin(phi)cos(phi) distribution. Crosses show data, and the histogram shows MC.
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mpeak.eps
pi pi e e invariant mass distrubution.
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p0kin.eps
pp0kine variable distribution.
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mass.eps4
Mpipiee invariant mass for events passing cuts.
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fig5_prl.eps2
a) Observed phi and b) sin(phi)cos(phi) angular distributions: The data are shown as dots. The histogram is a Monte Carlo simulation based on the model of Ref.[3].
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amplitudes_10.eps
Processes contributing to KL->pi+pi-e+e-.
a) CP-violating bremsstrahlung
b) CP-conserving M1 gamma emission
c) CP-violating E1 gamma emission
d) Charge radius process
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likelihood_final.eps4
a) E*gamma spectrum of data (dots), Monte Carlo using a constant |gM1| (dashed histogram), Monte Carlo with E*gamma dependent form factor (solid histogram);
b) Likelihood contours of a1/a2 and |gM1|; Constant asymmetry contours calculated from the data as described in the text are superimposed.
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799det.eps
Fig.1. The KTeV (E799-II) detector
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finfig2.eps
Fig.2. P2pi0 for KL->pi+pi-e+e- event candidates from the data (solid dots). The solid line is the predicted distribution from a Monte Carlo simulation of KL->pi+pi-pi0D events and the dotted line is the predicted distribution from a Monte Carlo simulation of KL->pi+pi-e+e- using the model of [1]. The KL->pi+pi-pi0D Monte Carlo is normalized to the flux of decaying KL from the data sample (see text). The KL->pi+pi-e+e- Monte Carlo is arbitrarily normalized. The arrow shows the cut value of -0.0025 GeV2/c2.
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finfig3.eps
Fig.3. (a) The P2T vs the Mpipiee distribution for data.
(b) The Mpipiee distribution for events with P2T <= 0.0002 GeV2/c2.
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finfig4.eps
Fig.4. (a) The pi+pi- invariant mass distributions for KL->pi+pi-e+e- using the model cited in Ref.[1] (solid curve) and phase space (constant matrix element) (dashed curve).
(b) The pi+pi- invariant mass distributions for KL->pi+pi-e+e- after acceptance using teh model cited in Ref.[1] (solid curve) and phase space (sashed curve). The final event candidates are overlaid after background subtraction.
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