Violation in Mixing
Violation in Mixing
Violation in Mixing
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116 Strategy and Tools for Charmless Two-body � Decays Analysis<br />
Events/20 MeV<br />
Events/20 MeV<br />
1500<br />
1000<br />
500<br />
1500<br />
1000<br />
Onres Data<br />
Offres Data<br />
B A B AR<br />
0<br />
-0.4 -0.2 0 0.2 0.4<br />
ΔE (GeV)<br />
500<br />
Onres Data<br />
udsc MC<br />
B A B AR<br />
0<br />
-0.4 -0.2 0 0.2 0.4<br />
ΔE (GeV)<br />
Figure 4-10. The distribution of ¡� for the entire region of on-resonance data, side-band and signal, is<br />
given by the po<strong>in</strong>ts with error bars <strong>in</strong> both plots. The solid curve represents a fit of a second order polynomial<br />
to the side-band regions only (�¡�� � � �). The histogram <strong>in</strong> the upper plot is off-resonance data and<br />
the histogram <strong>in</strong> the lower plot is cont<strong>in</strong>uum Monte Carlo data (both normalized to the same area as the<br />
on-resonance distribution).<br />
The ¡� PDF for a decay with a à <strong>in</strong> the f<strong>in</strong>al state consists of a Gaussian with a mean given by the<br />
follow<strong>in</strong>g analytical form [54]:<br />
�Õ Õ �<br />
ÅÃ Ô Å� Ô � (4.13)<br />
�¡�� � �ÓÓ×Ø ¢<br />
where Ô is the momentum of the assumed kaon track.<br />
4.6.4 Fisher output �<br />
The distribution for � for the background is determ<strong>in</strong>ed from events <strong>in</strong> the Ñ�Ë side-band region of the onresonance<br />
sample s<strong>in</strong>ce the statistics are large and the sample is free from contam<strong>in</strong>ation from �� events.<br />
The distribution is parameterized by the sum of two Gaussians, as shown <strong>in</strong> Figs. 4-12. The po<strong>in</strong>ts are<br />
the Ñ�Ë side-band data and the overlayed histograms are the distributions obta<strong>in</strong>ed from off-resonance and<br />
Monte Carlo simulated cont<strong>in</strong>uum events, us<strong>in</strong>g the full Ñ�Ë region (�� -�� ��Î� ). These alternative<br />
parameterizations are used <strong>in</strong> comput<strong>in</strong>g systematic uncerta<strong>in</strong>ties due to the � parameterization.<br />
MARCELLA BONA