Violation in Mixing
Violation in Mixing
Violation in Mixing
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138 Measurement of Branch<strong>in</strong>g Fractions for � ¦ � Ã � ¦ decays<br />
We f<strong>in</strong>d good agreement between the SMS selector and the global likelihood fit us<strong>in</strong>g the �ÁÊ� PDF’s.<br />
We have also checked that the asymmetries are compatible with zero <strong>in</strong> the on-resonance upper and lower<br />
side bands, <strong>in</strong> the off-resonance data and <strong>in</strong> cont<strong>in</strong>uum Monte Carlo.<br />
In on-resonance lower side-band, we have 4529 events: fitt<strong>in</strong>g not us<strong>in</strong>g ¡� PDF and fix<strong>in</strong>g the signal<br />
asymmetries, we get<br />
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We see no asymmetry <strong>in</strong> the background and no statistically significant signal. To evaluate the cross-feed of<br />
background <strong>in</strong>to signal events, we check on off-resonance data <strong>in</strong> the signal band, us<strong>in</strong>g ¡� PDF too: we<br />
get<br />
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F<strong>in</strong>ally, we have built samples of cont<strong>in</strong>uum Monte Carlo events with different amounts of signal and<br />
background and predef<strong>in</strong>ed asymmetries (<strong>in</strong>clud<strong>in</strong>g <strong>in</strong> the sample different amount of positive and negative<br />
charged candidates) and we have checked that the fit returns the correct yields and asymmetries.<br />
Table 5-6 shows that the fit always returns the correct number of signal events with<strong>in</strong> � and that there is<br />
less than cross-feed to the other Ã Ë � channel or to background events. Table 5-7 shows tests on samples<br />
of cont<strong>in</strong>uum MC with fixed charge asymmetry: the fit returns the value of the asymmetry with very good<br />
agreement.<br />
5.5.4 Systematic uncerta<strong>in</strong>ties<br />
The amount of background and signal are both allowed to fluctuate with<strong>in</strong> Poissonian statistics <strong>in</strong> the fit<br />
itself. Thus it is not necessary to estimate a systematic uncerta<strong>in</strong>ty from the background normalization. The<br />
MARCELLA BONA