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Violation in Mixing

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128 Measurement of Branch<strong>in</strong>g Fractions for � ¦ � Ã � ¦ decays<br />

number of events / 0.0025 GeV<br />

250<br />

200<br />

150<br />

100<br />

50<br />

ALLCHAN 7332.<br />

37.19 / 34<br />

P1 498.1 12.91<br />

P2 23.11 1.272<br />

0<br />

5.2 5.22 5.24 5.26 5.28 5.3<br />

Mes (GeV)<br />

Figure 5-9. ARGUS fit to the Ñ�Ë distribution <strong>in</strong> the on-resonance side-band region.<br />

5.4.2 Parameterizations of Ñ�Ë Distributions<br />

The background shape <strong>in</strong> Ñ�Ë is parameterized by the ARGUS function <strong>in</strong> Eq. 4.6.2. where we use<br />

ÑÑ�Ü � �� ��� ��Î� 2 and where the parameter � is determ<strong>in</strong>ed from a fit. A fit to the on-resonance<br />

side-band region after apply<strong>in</strong>g the standard selection (see Sec. 4.2.1) gives � � � ¦ � (Fig. 5-9).<br />

A similar fit performed on off-resonance grand side-band region gives � � � ¦ �� and we f<strong>in</strong>d � �<br />

� ¦ � <strong>in</strong> cont<strong>in</strong>uum Monte Carlo events (Fig. 5-10). All the values obta<strong>in</strong>ed from these samples are<br />

well compatible with each other and with the on-resonance fit. We use the value � � � ¦ � <strong>in</strong> the rest<br />

of this analysis.<br />

The Ñ�Ë PDF for the signal is parameterized as a Gaussian with mean of �� � ��Î� and width of<br />

���� taken from the � � � � control sample (4.2.2.1).<br />

5.4.3 Fisher Discrim<strong>in</strong>ant<br />

The Fisher discrim<strong>in</strong>ant has already been def<strong>in</strong>ed <strong>in</strong> Sec. 4.3. For the parameterization of the Fisher variable<br />

<strong>in</strong> signal events we have used signal Ã Ë � MC, while for the Fisher variable <strong>in</strong> the background events, we<br />

have used the on-resonance Ñ�Ë side-band (�� �Ñ�Ë � �� � ��Î).<br />

2 This parameter is determ<strong>in</strong>ed <strong>in</strong> a mode <strong>in</strong>dependent way: see Sec.4.6.2<br />

MARCELLA BONA

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