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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

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