Violation in Mixing
Violation in Mixing
Violation in Mixing
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5.5 Maximum likelihood analysis 141<br />
Table 5-8. Systematics errors ( ) for Ã Ë � yield<br />
Ñ�Ë (Signal) Mean Ñ�Ë (Signal)<br />
Ñ�Ë (Bkg)<br />
�Ñ�Ë (Signal)<br />
¡� (Signal) Mean ¡� (Signal)<br />
�¡� (Signal)<br />
Æ Ë<br />
Ã Ë �<br />
Ë Æ<br />
ÃË� ��<br />
�� �<br />
�<br />
��<br />
���<br />
�<br />
��<br />
�<br />
�� �<br />
�<br />
�<br />
��<br />
¡� (Bkg) ¦ ��<br />
Fisher Fisher (Signal) ¦ � ���<br />
Fisher (Bkg) ¦��� ���<br />
� � : Frac Sat Peak<br />
�<br />
��<br />
� : Resolution ¦ ��<br />
Total<br />
� : Offset ¦ �<br />
� : charge dependent PDFs - -<br />
systematic uncerta<strong>in</strong>ties <strong>in</strong> the unb<strong>in</strong>ned likelihood analysis come primarily from the imperfect knowledge<br />
of the correct parameterizations for each of the PDFs. Each parameter <strong>in</strong> each PDF was varied with<strong>in</strong> ¦ �<br />
and different samples of data were used to obta<strong>in</strong> alternative parameterizations.<br />
The global fit was repeated chang<strong>in</strong>g every time one PDF parameter or us<strong>in</strong>g another parameterization for a<br />
s<strong>in</strong>gle PDF and the difference of the fit results from the central values of the nom<strong>in</strong>al fit are taken to be the<br />
estimated systematic uncerta<strong>in</strong>ty.<br />
These studies are summarized below:<br />
¯ Ñ�Ë � The mean value of Ñ�Ë for signal decays was varied by ¦ ��Å�Î� and the width of<br />
¦ � Å�Î� . The � parameter of the Argus function used to model the background shape, was<br />
allowed to vary with<strong>in</strong> ¦ �. This uncerta<strong>in</strong>ty is estimated from the different values of � obta<strong>in</strong>ed by<br />
fitt<strong>in</strong>g on-resonance side-bands, off-resonance and cont<strong>in</strong>uum Monte Carlo data.<br />
¯ ¡� � The mean for the ¡� distribution for signal events are varied from Å�Î to Å�Î. The �<br />
��<br />
is varied of �� Å�Î, consistently with � � analysis (see Ref. [57]). Alternative parameterizations<br />
of background ¡� distribution obta<strong>in</strong>ed fitt<strong>in</strong>g off-resonance and cont<strong>in</strong>uum Monte Carlo data are<br />
used.<br />
MEASUREMENT OF BRANCHING FRACTIONS FOR � ¦ � Ã � ¦ DECAYS<br />
�<br />
��<br />
���<br />
���